Dr Imran Razzak
Senior Lecturer

Dr Imran Razzak

PhD Analytics, University of Technology, Sydney, Australia

Graduate Certificate of Higher Education (Learning and Teaching), Deakin University, Geelong, Australia

Engineering
Computer Science and Engineering

 

Imran Razzak is a Senior Lecturer in Human-Centered Machine Learning in the School of Computer Science and Engineering at University of New South Wales, Sydney, Australia. Previously, he was as a Senior Lecturer in Computer Science at School of IT, Deakin University, Victoria. His area of research focuses on connecting language and vision for better interpretation of multidimensional data and spans over three broad areas: Machine Learning, Computer Vision, and Natural Language Processing with special emphasis on healthcare and use of natural language to explain the rationale and decision-making process behind the use of machine learning algorithms and models. With a strong background in computer vision and deep learning techniques, he has developed expertise in analysing and interpreting medical images (US, mammogram, CT, PET, MRI, fMRI) to improve patient outcomes. Throughout his career, he has worked on a range of projects that involve developing and implementing machine learning algorithms for medical image analysis. His work has resulted in more than 180 publications in leading journals and conferences in the field of medical image analysis. Through his research, he has made significant contributions to the field of medical image analysis, particularly in the area of early diagnosis. Additionally, he has collaborated with medical professionals to develop tools for early diagnosis of various medical conditions, including cancer, neurodegenerative disease, and heart disease.

You can find more about me at my personal webpage.

 

 

 

Phone
T: +61 293 480 171
Location
401J, K17, UNSW, Sydney
  • Books | 2022
    2022, Proceedings of International Conference on Information Technology and Applications, Ullah A; Anwar S; Rocha Á; Gill S, (eds.), Springer Nature Singapore, http://dx.doi.org/10.1007/978-981-16-7618-5
  • Book Chapters | 2023
    Dercksen K; de Vries AP; van Ginneken B, 2023, 'SimpleRad: Patient-Friendly Dutch Radiology Reports', in Lecture Notes in Computer Science, Springer Nature Switzerland, pp. 224 - 229, http://dx.doi.org/10.1007/978-3-031-28241-6_18
    Book Chapters | 2023
    Fung S; Lu X; Mykolaitis M; Razzak I; Kostkevičius G; Ozerenskis D, 2023, 'Anatomical Landmarks Localization for 3D Foot Point Clouds', in , pp. 627 - 638, http://dx.doi.org/10.1007/978-3-031-30111-7_53
    Book Chapters | 2023
    Nguyen TT; Nguyen CM; Huynh-The T; Pham QV; Nguyen QVH; Razzak I; Reddi VJ, 2023, 'Solving Complex Sequential Decision-Making Problems by Deep Reinforcement Learning with Heuristic Rules', in , pp. 298 - 305, http://dx.doi.org/10.1007/978-3-031-36021-3_30
    Book Chapters | 2023
    Qayyum A; Mazher M; Niederer S; Razzak I, 2023, 'Segmentation of Intra-operative Ultrasound Using Self-supervised Learning Based 3D-ResUnet Model with Deep Supervision', in , pp. 55 - 62, http://dx.doi.org/10.1007/978-3-031-27324-7_7
    Book Chapters | 2022
    Qayyum A; Mazher M; Niederer S; Meriaudeau F; Razzak I, 2022, 'Automatic Cardiac Magnetic Resonance Respiratory Motions Assessment and Segmentation', in , pp. 485 - 493, http://dx.doi.org/10.1007/978-3-031-23443-9_46
    Book Chapters | 2022
    Rehman A; Naz S; Khan A; Zaib A; Razzak I, 2022, 'Improving Coronavirus (COVID-19) Diagnosis Using Deep Transfer Learning', in , pp. 23 - 37, http://dx.doi.org/10.1007/978-981-16-7618-5_3
    Book Chapters | 2021
    Qayyum A; Razzak I, 2021, 'Deep Residual Neural Network for Child’s Spontaneous Facial Expressions Recognition', in , pp. 282 - 291, http://dx.doi.org/10.1007/978-3-030-73973-7_27
    Book Chapters | 2020
    Khan PI; Razzak I; Dengel A; Ahmed S, 2020, 'Improving Personal Health Mention Detection on Twitter Using Permutation Based Word Representation Learning', in , pp. 776 - 785, http://dx.doi.org/10.1007/978-3-030-63830-6_65
    Book Chapters | 2020
    Qayyum A; Razzak I; Mumtaz W, 2020, 'Hybrid Deep Shallow Network for Assessment of Depression Using Electroencephalogram Signals', in , pp. 245 - 257, http://dx.doi.org/10.1007/978-3-030-63836-8_21
    Book Chapters | 2020
    Rashid AH; Razzak I; Tanveer M; Robles-Kelly A, 2020, 'RipNet: A Lightweight One-Class Deep Neural Network for the Identification of RIP Currents', in , pp. 172 - 179, http://dx.doi.org/10.1007/978-3-030-63823-8_21
    Book Chapters | 2020
    Saeed Z; Ayaz Abbasi R; Razzak I, 2020, 'EveSense: What can you sense from Twitter?', in , pp. 491 - 495, http://dx.doi.org/10.1007/978-3-030-45442-5_64
    Book Chapters | 2019
    Saeed S; Naz S; Razzak MI, 2019, 'An application of deep learning in character recognition: An overview', in Smart Innovation, Systems and Technologies, pp. 53 - 81, http://dx.doi.org/10.1007/978-3-030-11479-4_3
    Book Chapters | 2018
    Razzak MI; Naz S; Zaib A, 2018, 'Deep learning for medical image processing: Overview, challenges and the future', in Lecture Notes in Computational Vision and Biomechanics, pp. 323 - 350, http://dx.doi.org/10.1007/978-3-319-65981-7_12
    Book Chapters | 2018
    Shirazi SH; Naz S; Razzak MI; Umar AI; Zaib A, 2018, 'Automated pathology image analysis', in Soft Computing Based Medical Image Analysis, pp. 13 - 29, http://dx.doi.org/10.1016/B978-0-12-813087-2.00026-9
    Book Chapters | 2014
    Belaíd A; Razzak MI, 2014, 'Middle eastern character recognition', in Handbook of Document Image Processing and Recognition, pp. 427 - 457, http://dx.doi.org/10.1007/978-0-85729-859-1_13
  • Journal articles | 2024
    De Vente C; Vermeer KA; Jaccard N; Wang H; Sun H; Khader F; Truhn D; Aimyshev T; Zhanibekuly Y; Le TD; Galdran A; Ballester MAG; Carneiro G; Devika RG; Sethumadhavan HP; Puthussery D; Liu H; Yang Z; Kondo S; Kasai S; Wang E; Durvasula A; Heras J; Zapata MA; Araujo T; Aresta G; Bogunovic H; Arikan M; Lee YC; Cho HB; Choi YH; Qayyum A; Razzak I; Van Ginneken B; Lemij HG; Sanchez CI, 2024, 'AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge', IEEE Transactions on Medical Imaging, 43, pp. 542 - 557, http://dx.doi.org/10.1109/TMI.2023.3313786
    Journal articles | 2024
    Huang KH; Huang YB; Lin YX; Hua KL; Tanveer M; Lu X; Razzak I, 2024, 'GRA: Graph Representation Alignment for Semi-Supervised Action Recognition', IEEE Transactions on Neural Networks and Learning Systems, http://dx.doi.org/10.1109/TNNLS.2023.3347593
    Journal articles | 2024
    Iqbal MZ; Razzak I; Qayyum A; Nguyen TT; Tanveer M; Sowmya A, 2024, 'Hybrid unsupervised paradigm based deformable image fusion for 4D CT lung image modality', Information Fusion, 102, http://dx.doi.org/10.1016/j.inffus.2023.102061
    Journal articles | 2024
    Islam MR; Akter S; Islam L; Razzak I; Wang X; Xu G, 2024, 'Strategies for evaluating visual analytics systems: A systematic review and new perspectives', Information Visualization, 23, pp. 84 - 101, http://dx.doi.org/10.1177/14738716231212568
    Journal articles | 2024
    Khan IA; Razzak I; Pi D; Khan N; Hussain Y; Li B; Kousar T, 2024, 'Fed-Inforce-Fusion: A federated reinforcement-based fusion model for security and privacy protection of IoMT networks against cyber-attacks', Information Fusion, 101, http://dx.doi.org/10.1016/j.inffus.2023.102002
    Journal articles | 2024
    Khan IA; Razzak I; Pi D; Zia U; Kamal S; Hussain Y, 2024, 'A Novel Collaborative SRU Network With Dynamic Behaviour Aggregation, Reduced Communication Overhead and Explainable Features', IEEE Journal of Biomedical and Health Informatics, http://dx.doi.org/10.1109/JBHI.2024.3352013
    Journal articles | 2024
    Mazher M; Razzak I; Qayyum A; Tanveer M; Beier S; Khan T; Niederer SA, 2024, 'Self-supervised spatial–temporal transformer fusion based federated framework for 4D cardiovascular image segmentation', Information Fusion, 106, pp. 102256 - 102256, http://dx.doi.org/10.1016/j.inffus.2024.102256
    Journal articles | 2024
    Naveed A; Naqvi SS; Khan TM; Razzak I, 2024, 'PCA: Progressive class-wise attention for skin lesions diagnosis', Engineering Applications of Artificial Intelligence, 127, http://dx.doi.org/10.1016/j.engappai.2023.107417
    Journal articles | 2024
    Qayyum A; Razzak I; Mazher M; Lu X; Niederer SA, 2024, 'Unsupervised unpaired multiple fusion adaptation aided with self-attention generative adversarial network for scar tissues segmentation framework', Information Fusion, 106, pp. 102226 - 102226, http://dx.doi.org/10.1016/j.inffus.2024.102226
    Journal articles | 2023
    Alyasseri ZAA; Khader AT; Al-Betar MA; Yang XS; Mohammed MA; Abdulkareem KH; Kadry S; Razzak I, 2023, 'Multi-objective flower pollination algorithm: a new technique for EEG signal denoising', Neural Computing and Applications, 35, pp. 7943 - 7962, http://dx.doi.org/10.1007/s00521-021-06757-2
    Journal articles | 2023
    Arsalan M; Khan TM; Naqvi SS; Nawaz M; Razzak I, 2023, 'Prompt Deep Light-Weight Vessel Segmentation Network (PLVS-Net)', IEEE/ACM Transactions on Computational Biology and Bioinformatics, 20, pp. 1363 - 1371, http://dx.doi.org/10.1109/TCBB.2022.3211936
    Journal articles | 2023
    Asim MN; Ibrahim MA; Malik MI; Razzak I; Dengel A; Ahmed S, 2023, 'Histone-Net: a multi-paradigm computational framework for histone occupancy and modification prediction', Complex and Intelligent Systems, 9, pp. 399 - 419, http://dx.doi.org/10.1007/s40747-022-00802-w
    Journal articles | 2023
    Athar S; Abbasi RA; Saeed Z; Said A; Razzak I; Salim FD, 2023, 'ASBiNE: Dynamic Bipartite Network Embedding for incorporating structural and attribute information', World Wide Web, 26, pp. 3463 - 3481, http://dx.doi.org/10.1007/s11280-023-01189-5
    Journal articles | 2023
    Ayaz Z; Naz S; Khan NH; Razzak I; Imran M, 2023, 'Automated methods for diagnosis of Parkinson’s disease and predicting severity level', Neural Computing and Applications, 35, pp. 14499 - 14534, http://dx.doi.org/10.1007/s00521-021-06626-y
    Journal articles | 2023
    Bilic P; Christ P; Li HB; Vorontsov E; Ben-Cohen A; Kaissis G; Szeskin A; Jacobs C; Mamani GEH; Chartrand G; Lohöfer F; Holch JW; Sommer W; Hofmann F; Hostettler A; Lev-Cohain N; Drozdzal M; Amitai MM; Vivanti R; Sosna J; Ezhov I; Sekuboyina A; Navarro F; Kofler F; Paetzold JC; Shit S; Hu X; Lipková J; Rempfler M; Piraud M; Kirschke J; Wiestler B; Zhang Z; Hülsemeyer C; Beetz M; Ettlinger F; Antonelli M; Bae W; Bellver M; Bi L; Chen H; Chlebus G; Dam EB; Dou Q; Fu CW; Georgescu B; Giró-i-Nieto X; Gruen F; Han X; Heng PA; Hesser J; Moltz JH; Igel C; Isensee F; Jäger P; Jia F; Kaluva KC; Khened M; Kim I; Kim JH; Kim S; Kohl S; Konopczynski T; Kori A; Krishnamurthi G; Li F; Li H; Li J; Li X; Lowengrub J; Ma J; Maier-Hein K; Maninis KK; Meine H; Merhof D; Pai A; Perslev M; Petersen J; Pont-Tuset J; Qi J; Qi X; Rippel O; Roth K; Sarasua I; Schenk A; Shen Z; Torres J; Wachinger C; Wang C; Weninger L; Wu J; Xu D; Yang X; Yu SCH; Yuan Y; Yue M; Zhang L; Cardoso J; Bakas S; Braren R, 2023, 'The Liver Tumor Segmentation Benchmark (LiTS)', Medical Image Analysis, 84, http://dx.doi.org/10.1016/j.media.2022.102680
    Journal articles | 2023
    Bándi P; Balkenhol M; van Dijk M; Kok M; van Ginneken B; van der Laak J; Litjens G, 2023, 'Continual learning strategies for cancer-independent detection of lymph node metastases.', Med Image Anal, 85, pp. 102755, http://dx.doi.org/10.1016/j.media.2023.102755
    Journal articles | 2023
    Calli E; Van Ginneken B; Sogancioglu E; Murphy K, 2023, 'FRODO: An In-Depth Analysis of a System to Reject Outlier Samples From a Trained Neural Network.', IEEE Trans Med Imaging, 42, pp. 971 - 981, http://dx.doi.org/10.1109/TMI.2022.3221898
    Journal articles | 2023
    Daud A; Islam NU; Li X; Razzak I; Hayat MK, 2023, 'Identifying Rising Stars via Supervised Machine Learning', IEEE Transactions on Computational Social Systems, 10, pp. 2374 - 2384, http://dx.doi.org/10.1109/TCSS.2022.3178070
    Journal articles | 2023
    Hasib KM; Islam MR; Sakib S; Akbar MA; Razzak I; Alam MS, 2023, 'Depression Detection From Social Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey', IEEE Transactions on Computational Social Systems, 10, pp. 1568 - 1586, http://dx.doi.org/10.1109/TCSS.2023.3263128
    Journal articles | 2023
    He W; Xu G; Razzak I, 2023, 'Social responses to the COVID-19 pandemic', Behaviour and Information Technology, 42, pp. 171 - 173, http://dx.doi.org/10.1080/0144929X.2023.2176977
    Journal articles | 2023
    Hendrix N; Hendrix W; van Dijke K; Maresch B; Maas M; Bollen S; Scholtens A; de Jonge M; Ong L-LS; van Ginneken B; Rutten M, 2023, 'Musculoskeletal radiologist-level performance by using deep learning for detection of scaphoid fractures on conventional multi-view radiographs of hand and wrist.', Eur Radiol, 33, pp. 1575 - 1588, http://dx.doi.org/10.1007/s00330-022-09205-4
    Journal articles | 2023
    Hendrix W; Rutten M; Hendrix N; van Ginneken B; Schaefer-Prokop C; Scholten ET; Prokop M; Jacobs C, 2023, 'Trends in the incidence of pulmonary nodules in chest computed tomography: 10-year results from two Dutch hospitals.', Eur Radiol, 33, pp. 8279 - 8288, http://dx.doi.org/10.1007/s00330-023-09826-3
    Journal articles | 2023
    Hering A; Hansen L; Mok TCW; Chung ACS; Siebert H; Hager S; Lange A; Kuckertz S; Heldmann S; Shao W; Vesal S; Rusu M; Sonn G; Estienne T; Vakalopoulou M; Han L; Huang Y; Yap P-T; Brudfors M; Balbastre Y; Joutard S; Modat M; Lifshitz G; Raviv D; Lv J; Li Q; Jaouen V; Visvikis D; Fourcade C; Rubeaux M; Pan W; Xu Z; Jian B; De Benetti F; Wodzinski M; Gunnarsson N; Sjolund J; Grzech D; Qiu H; Li Z; Thorley A; Duan J; Grosbrohmer C; Hoopes A; Reinertsen I; Xiao Y; Landman B; Huo Y; Murphy K; Lessmann N; van Ginneken B; Dalca AV; Heinrich MP, 2023, 'Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning.', IEEE Trans Med Imaging, 42, pp. 697 - 712, http://dx.doi.org/10.1109/TMI.2022.3213983
    Journal articles | 2023
    Hong L; Modirrousta MH; Hossein Nasirpour M; Mirshekari Chargari M; Mohammadi F; Moravvej SV; Rezvanishad L; Rezvanishad M; Bakhshayeshi I; Alizadehsani R; Razzak I; Alinejad-Rokny H; Nahavandi S, 2023, 'GAN-LSTM-3D: An efficient method for lung tumour 3D reconstruction enhanced by attention-based LSTM', CAAI Transactions on Intelligence Technology, http://dx.doi.org/10.1049/cit2.12223
    Journal articles | 2023
    Hu J; Kaur K; Lin H; Wang X; Hassan MM; Razzak I; Hammoudeh M, 2023, 'Intelligent Anomaly Detection of Trajectories for IoT Empowered Maritime Transportation Systems', IEEE Transactions on Intelligent Transportation Systems, 24, pp. 2382 - 2391, http://dx.doi.org/10.1109/TITS.2022.3162491
    Journal articles | 2023
    Iqbal S; Khan TM; Naqvi SS; Naveed A; Usman M; Khan HA; Razzak I, 2023, 'LDMRes-Net: A Lightweight Neural Network for Efficient Medical Image Segmentation on IoT and Edge Devices', IEEE Journal of Biomedical and Health Informatics, http://dx.doi.org/10.1109/JBHI.2023.3331278
    Journal articles | 2023
    Kausar A; Razzak I; Shapiai MI; Beheshti A, 2023, '3D shallow deep neural network for fast and precise segmentation of left atrium', Multimedia Systems, 29, pp. 1739 - 1749, http://dx.doi.org/10.1007/s00530-021-00776-8
    Journal articles | 2023
    Khan F; Alturki R; Rahman MA; Mastorakis S; Razzak I; Shah ST, 2023, 'Trustworthy and Reliable Deep-Learning-Based Cyberattack Detection in Industrial IoT', IEEE Transactions on Industrial Informatics, 19, pp. 1030 - 1038, http://dx.doi.org/10.1109/TII.2022.3190352
    Journal articles | 2023
    Khan PI; Razzak I; Dengel A; Ahmed S, 2023, 'Performance Comparison of Transformer-Based Models on Twitter Health Mention Classification', IEEE Transactions on Computational Social Systems, 10, pp. 1140 - 1149, http://dx.doi.org/10.1109/TCSS.2022.3143768
    Journal articles | 2023
    Khan TM; Arsalan M; Razzak I; Meijering E, 2023, 'Simple and robust depth-wise cascaded network for polyp segmentation', Engineering Applications of Artificial Intelligence, 121, http://dx.doi.org/10.1016/j.engappai.2023.106023
    Journal articles | 2023
    Khan TM; Naqvi SS; Robles-Kelly A; Razzak I, 2023, 'Retinal vessel segmentation via a Multi-resolution Contextual Network and adversarial learning', Neural Networks, 165, pp. 310 - 320, http://dx.doi.org/10.1016/j.neunet.2023.05.029
    Journal articles | 2023
    Lakhan A; Mohammed MA; Rashid AN; Kadry S; Abdulkareem KH; Nedoma J; Martinek R; Razzak I, 2023, 'Restricted Boltzmann Machine Assisted Secure Serverless Edge System for Internet of Medical Things', IEEE Journal of Biomedical and Health Informatics, 27, pp. 673 - 683, http://dx.doi.org/10.1109/JBHI.2022.3178660
    Journal articles | 2023
    Naqvi SS; Langah ZA; Khan HA; Khan MI; Bashir T; Razzak MI; Khan TM, 2023, 'GLAN: GAN Assisted Lightweight Attention Network for Biomedical Imaging Based Diagnostics', Cognitive Computation, 15, pp. 932 - 942, http://dx.doi.org/10.1007/s12559-023-10131-w
    Journal articles | 2023
    Nasser N; Emad-ul-Haq Q; Imran M; Ali A; Razzak I; Al-Helali A, 2023, 'A smart healthcare framework for detection and monitoring of COVID-19 using IoT and cloud computing', Neural Computing and Applications, 35, pp. 13775 - 13789, http://dx.doi.org/10.1007/s00521-021-06396-7
    Journal articles | 2023
    Qayyum A; Mazhar M; Razzak I; Bouadjenek MR, 2023, 'Multilevel depth-wise context attention network with atrous mechanism for segmentation of COVID19 affected regions', Neural Computing and Applications, 35, pp. 16143 - 16155, http://dx.doi.org/10.1007/s00521-021-06636-w
    Journal articles | 2023
    Qayyum A; Mazher M; Khan T; Razzak I, 2023, 'Semi-supervised 3D-InceptionNet for segmentation and survival prediction of head and neck primary cancers', Engineering Applications of Artificial Intelligence, 117, http://dx.doi.org/10.1016/j.engappai.2022.105590
    Journal articles | 2023
    Qayyum A; Mazher M; Nuhu A; Benzinou A; Malik AS; Razzak I, 2023, 'Assessment of physiological states from contactless face video: a sparse representation approach', Computing, 105, pp. 761 - 781, http://dx.doi.org/10.1007/s00607-021-01028-3
    Journal articles | 2023
    Qayyum A; Razzak I; Mazher M; Khan T; Ding W; Niederer S, 2023, 'Two-Stage Self-Supervised Contrastive Learning Aided Transformer for Real-Time Medical Image Segmentation', IEEE Journal of Biomedical and Health Informatics, http://dx.doi.org/10.1109/JBHI.2023.3340956
    Journal articles | 2023
    Qayyum A; Razzak I; Tanveer M; Mazher M; Alhaqbani B, 2023, 'High-Density Electroencephalography and Speech Signal Based Deep Framework for Clinical Depression Diagnosis', IEEE/ACM Transactions on Computational Biology and Bioinformatics, 20, pp. 2587 - 2597, http://dx.doi.org/10.1109/TCBB.2023.3257175
    Journal articles | 2023
    Qayyum A; Razzak I; Tanveer M; Mazher M, 2023, 'Spontaneous Facial Behavior Analysis Using Deep Transformer-based Framework for Child-computer Interaction', ACM Transactions on Multimedia Computing, Communications and Applications, 20, http://dx.doi.org/10.1145/3539577
    Journal articles | 2023
    Rashid AH; Razzak I; Tanveer M; Hobbs M, 2023, 'Reducing rip current drowning: An improved residual based lightweight deep architecture for rip detection', ISA Transactions, 132, pp. 199 - 207, http://dx.doi.org/10.1016/j.isatra.2022.05.015
    Journal articles | 2023
    Razzak I; Bouadjenek MR; Saris RA; Ding W, 2023, 'Support Matrix Machine via Joint <inline-formula> <tex-math notation="LaTeX">$\ell_{2,1}$</tex-math> </inline-formula> and Nuclear Norm Minimization Under Matrix Completion Framework for Classification of Corrupted Data', IEEE Transactions on Neural Networks and Learning Systems, http://dx.doi.org/10.1109/TNNLS.2023.3293888
    Journal articles | 2023
    Razzak I; Khan MK; Xu G; Khalifa F, 2023, 'Guest Editorial Open and Interpretable AI in Computational Pathology', IEEE Journal of Biomedical and Health Informatics, 27, pp. 1657 - 1660, http://dx.doi.org/10.1109/JBHI.2023.3252839
    Journal articles | 2023
    Rehman A; Khan A; Fatima G; Naz S; Razzak I, 2023, 'Review on chest pathogies detection systems using deep learning techniques', Artificial Intelligence Review, 56, pp. 12607 - 12653, http://dx.doi.org/10.1007/s10462-023-10457-9
    Journal articles | 2023
    Rehman A; Razzak I; Xu G, 2023, 'Federated Learning for Privacy Preservation of Healthcare Data From Smartphone-Based Side-Channel Attacks', IEEE Journal of Biomedical and Health Informatics, 27, pp. 684 - 690, http://dx.doi.org/10.1109/JBHI.2022.3171852
    Journal articles | 2023
    Schiliro F; Moustafa N; Razzak I; Beheshti A, 2023, 'DeepCog: A Trustworthy Deep Learning-Based Human Cognitive Privacy Framework in Industrial Policing', IEEE Transactions on Intelligent Transportation Systems, 24, pp. 7485 - 7493, http://dx.doi.org/10.1109/TITS.2022.3166631
    Journal articles | 2023
    Shamsi A; Asgharnezhad H; Bouchani Z; Jahanian K; Saberi M; Wang X; Razzak I; Alizadehsani R; Mohammadi A; Alinejad-Rokny H, 2023, 'A novel uncertainty-aware deep learning technique with an application on skin cancer diagnosis', Neural Computing and Applications, 35, pp. 22179 - 22188, http://dx.doi.org/10.1007/s00521-023-08930-1
    Journal articles | 2023
    Sharif Z; Jung LT; Razzak I; Alazab M, 2023, 'Adaptive and Priority-Based Resource Allocation for Efficient Resources Utilization in Mobile-Edge Computing', IEEE Internet of Things Journal, 10, pp. 3079 - 3093, http://dx.doi.org/10.1109/JIOT.2021.3111838
    Journal articles | 2023
    Sharma R; Goel T; Tanveer M; Suganthan PN; Razzak I; Murugan R, 2023, 'Conv-eRVFL: Convolutional Neural Network Based Ensemble RVFL Classifier for Alzheimer's Disease Diagnosis', IEEE Journal of Biomedical and Health Informatics, 27, pp. 4995 - 5003, http://dx.doi.org/10.1109/JBHI.2022.3215533
    Journal articles | 2023
    Umer S; Sardar A; Rout RK; Tanveer M; Razzak I, 2023, 'IoT-Enabled Multimodal Biometric Recognition System in Secure Environment', IEEE Internet of Things Journal, 10, pp. 21457 - 21466, http://dx.doi.org/10.1109/JIOT.2023.3299465
    Journal articles | 2023
    Xie W; Jacobs C; Charbonnier J-P; Slebos DJ; van Ginneken B, 2023, 'Emphysema subtyping on thoracic computed tomography scans using deep neural networks.', Sci Rep, 13, pp. 14147, http://dx.doi.org/10.1038/s41598-023-40116-6
    Journal articles | 2023
    Xie W; Jacobs C; Charbonnier J-P; van Ginneken B, 2023, 'Dense regression activation maps for lesion segmentation in CT scans of COVID-19 patients.', Med Image Anal, 86, pp. 102771, http://dx.doi.org/10.1016/j.media.2023.102771
    Journal articles | 2023
    Zhao T; Song X; Li M; Li J; Luo W; Razzak I, 2023, 'Distributed Optimization of Graph Convolutional Network Using Subgraph Variance', IEEE Transactions on Neural Networks and Learning Systems, http://dx.doi.org/10.1109/TNNLS.2023.3243904
    Journal articles | 2023
    Zogan H; Razzak I; Jameel S; Xu G, 2023, 'Hierarchical Convolutional Attention Network for Depression Detection on Social Media and Its Impact During Pandemic', IEEE Journal of Biomedical and Health Informatics, http://dx.doi.org/10.1109/JBHI.2023.3243249
    Journal articles | 2023
    van Ginneken B, 2023, 'Tuberculosis Detection from Chest Radiographs: Stop Training Radiologists Now.', Radiology, 306, pp. 138 - 139, http://dx.doi.org/10.1148/radiol.221769
    Journal articles | 2023
    van Leeuwen KG; Becks MJ; Grob D; de Lange F; Rutten JHE; Schalekamp S; Rutten MJCM; van Ginneken B; de Rooij M; Meijer FJA, 2023, 'AI-support for the detection of intracranial large vessel occlusions: One-year prospective evaluation.', Heliyon, 9, pp. e19065, http://dx.doi.org/10.1016/j.heliyon.2023.e19065
    Journal articles | 2022
    Abdel-Basset M; Hawash H; Moustafa N; Razzak I; Abd Elfattah M, 2022, 'Privacy-preserved learning from non-iid data in fog-assisted IoT: A federated learning approach', Digital Communications and Networks, http://dx.doi.org/10.1016/j.dcan.2022.12.013
    Journal articles | 2022
    Abdel-Basset M; Moustafa N; Hawash H; Razzak I; Sallam KM; Elkomy OM, 2022, 'Federated Intrusion Detection in Blockchain-Based Smart Transportation Systems', IEEE Transactions on Intelligent Transportation Systems, 23, pp. 2523 - 2537, http://dx.doi.org/10.1109/TITS.2021.3119968
    Journal articles | 2022
    Adams LC; Makowski MR; Engel G; Rattunde M; Busch F; Asbach P; Niehues SM; Vinayahalingam S; van Ginneken B; Litjens G; Bressem KK, 2022, 'Dataset of prostate MRI annotated for anatomical zones and cancer.', Data Brief, 45, pp. 108739, http://dx.doi.org/10.1016/j.dib.2022.108739
    Journal articles | 2022
    Adams LC; Makowski MR; Engel G; Rattunde M; Busch F; Asbach P; Niehues SM; Vinayahalingam S; van Ginneken B; Litjens G; Bressem KK, 2022, 'Prostate158 - An expert-annotated 3T MRI dataset and algorithm for prostate cancer detection.', Comput Biol Med, 148, pp. 105817, http://dx.doi.org/10.1016/j.compbiomed.2022.105817
    Journal articles | 2022
    Ahmed M; Moustafa N; Suaib Akhter AFM; Razzak I; Surid E; Anwar A; Shahen Shah AFM; Zengin A, 2022, 'A Blockchain-Based Emergency Message Transmission Protocol for Cooperative VANET', IEEE Transactions on Intelligent Transportation Systems, 23, pp. 19624 - 19633, http://dx.doi.org/10.1109/TITS.2021.3115245
    Journal articles | 2022
    Akter M; Moustafa N; Lynar T; Razzak I, 2022, 'Edge Intelligence: Federated Learning-Based Privacy Protection Framework for Smart Healthcare Systems', IEEE Journal of Biomedical and Health Informatics, 26, pp. 5805 - 5816, http://dx.doi.org/10.1109/JBHI.2022.3192648
    Journal articles | 2022
    Anajemba JH; Iwendi C; Razzak I; Ansere JA; Okpalaoguchi IM, 2022, 'A Counter-Eavesdropping Technique for Optimized Privacy of Wireless Industrial IoT Communications', IEEE Transactions on Industrial Informatics, 18, pp. 6445 - 6454, http://dx.doi.org/10.1109/TII.2021.3140109
    Journal articles | 2022
    Antonelli M; Reinke A; Bakas S; Farahani K; Kopp-Schneider A; Landman BA; Litjens G; Menze B; Ronneberger O; Summers RM; van Ginneken B; Bilello M; Bilic P; Christ PF; Do RKG; Gollub MJ; Heckers SH; Huisman H; Jarnagin WR; McHugo MK; Napel S; Pernicka JSG; Rhode K; Tobon-Gomez C; Vorontsov E; Meakin JA; Ourselin S; Wiesenfarth M; Arbeláez P; Bae B; Chen S; Daza L; Feng J; He B; Isensee F; Ji Y; Jia F; Kim I; Maier-Hein K; Merhof D; Pai A; Park B; Perslev M; Rezaiifar R; Rippel O; Sarasua I; Shen W; Son J; Wachinger C; Wang L; Wang Y; Xia Y; Xu D; Xu Z; Zheng Y; Simpson AL; Maier-Hein L; Cardoso MJ, 2022, 'The Medical Segmentation Decathlon.', Nat Commun, 13, pp. 4128, http://dx.doi.org/10.1038/s41467-022-30695-9
    Journal articles | 2022
    Anwar S; Rauf A; Ramzan M; Razzak I; Saadatmad M, 2022, 'NLP-SEA 2021 Workshop Summary', ACM SIGSOFT Software Engineering Notes, 47, pp. 15 - 16, http://dx.doi.org/10.1145/3520273.3520279
    Journal articles | 2022
    Beheshti I; Ganaie MA; Paliwal V; Rastogi A; Razzak I; Tanveer M, 2022, 'Predicting Brain Age Using Machine Learning Algorithms: A Comprehensive Evaluation', IEEE Journal of Biomedical and Health Informatics, 26, pp. 1432 - 1440, http://dx.doi.org/10.1109/JBHI.2021.3083187
    Journal articles | 2022
    Chlebus G; Schenk A; Hahn HK; Van Ginneken B; Meine H, 2022, 'Robust Segmentation Models Using an Uncertainty Slice Sampling-Based Annotation Workflow', IEEE Access, 10, pp. 4728 - 4738, http://dx.doi.org/10.1109/access.2022.3141021
    Journal articles | 2022
    Ghodhbani H; Neji M; Razzak I; Alimi AM, 2022, 'You can try without visiting: a comprehensive survey on virtually try-on outfits', Multimedia Tools and Applications, 81, pp. 19967 - 19998, http://dx.doi.org/10.1007/s11042-022-12802-6
    Journal articles | 2022
    Harlianto NI; Oosterhof N; Foppen W; Hol ME; Wittenberg R; van der Veen PH; van Ginneken B; Mohamed Hoesein FAA; Verlaan J-J; de Jong PA; Westerink J; UCC-SMART-Studygroup , 2022, 'Diffuse idiopathic skeletal hyperostosis is associated with incident stroke in patients with increased cardiovascular risk.', Rheumatology (Oxford), 61, pp. 2867 - 2874, http://dx.doi.org/10.1093/rheumatology/keab835
    Journal articles | 2022
    Harlianto NI; Westerink J; Hol ME; Wittenberg R; Foppen W; van der Veen PH; van Ginneken B; Verlaan J-J; de Jong PA; Mohamed Hoesein FAA; UCC-SMART Study Group , 2022, 'Patients with diffuse idiopathic skeletal hyperostosis have an increased burden of thoracic aortic calcifications.', Rheumatol Adv Pract, 6, pp. rkac060, http://dx.doi.org/10.1093/rap/rkac060
    Journal articles | 2022
    Hassanin M; Moustafa N; Razzak I; Tanveer M; Ormrod D; Slay J, 2022, 'Dynamic Hypersphere Embedding Scale Against Adversarial Attacks', IEEE Transactions on Engineering Management, http://dx.doi.org/10.1109/TEM.2022.3194487
    Journal articles | 2022
    Islam MR; Razzak I; Wang X; Tilocca P; Xu G, 2022, 'Natural language interactions enhanced by data visualization to explore insurance claims and manage risk', Annals of Operations Research, http://dx.doi.org/10.1007/s10479-021-04465-7
    Journal articles | 2022
    Javed AR; Shahzad F; Rehman SU; Zikria YB; Razzak I; Jalil Z; Xu G, 2022, 'Future smart cities requirements, emerging technologies, applications, challenges, and future aspects', Cities, 129, http://dx.doi.org/10.1016/j.cities.2022.103794
    Journal articles | 2022
    Khan IA; Moustafa N; Razzak I; Tanveer M; Pi D; Pan Y; Ali BS, 2022, 'XSRU-IoMT: Explainable simple recurrent units for threat detection in Internet of Medical Things networks', Future Generation Computer Systems, 127, pp. 181 - 193, http://dx.doi.org/10.1016/j.future.2021.09.010
    Journal articles | 2022
    Khan PI; Siddiqui SA; Razzak I; Dengel A; Ahmed S, 2022, 'Improving Health Mention Classification of Social Media Content using Contrastive Adversarial Training', IEEE Access, http://dx.doi.org/10.1109/ACCESS.2022.3200159
    Journal articles | 2022
    Khan TM; Khan MAU; Rehman NU; Naveed K; Afridi IU; Naqvi SS; Raazak I, 2022, 'Width-wise vessel bifurcation for improved retinal vessel segmentation', Biomedical Signal Processing and Control, 71, http://dx.doi.org/10.1016/j.bspc.2021.103169
    Journal articles | 2022
    Lefevre K; Arora C; Lee K; Zaslavsky A; Bouadjenek MR; Hassani A; Razzak I, 2022, 'ModelOps for enhanced decision-making and governance in emergency control rooms', Environment Systems and Decisions, http://dx.doi.org/10.1007/s10669-022-09855-1
    Journal articles | 2022
    Lin JD; Lin HH; Dy J; Chen JC; Tanveer M; Razzak I; Hua KL, 2022, 'Lightweight Face Anti-Spoofing Network for Telehealth Applications', IEEE Journal of Biomedical and Health Informatics, 26, pp. 1987 - 1996, http://dx.doi.org/10.1109/JBHI.2021.3107735
    Journal articles | 2022
    Moustafa N; Khan IA; Hassanin M; Ormrod D; Pi D; Razzak I; Slay J, 2022, 'DFSat: Deep Federated Learning for Identifying Cyber Threats in IoT-based Satellite Networks', IEEE Transactions on Industrial Informatics, http://dx.doi.org/10.1109/TII.2022.3214652
    Journal articles | 2022
    Naqvi RA; Arsalan M; Qaiser T; Khan TM; Razzak I, 2022, 'Sensor Data Fusion Based on Deep Learning for Computer Vision Applications and Medical Applications', Sensors, 22, http://dx.doi.org/10.3390/s22208058
    Journal articles | 2022
    Noothout JMH; Lessmann N; van Eede MC; van Harten LD; Sogancioglu E; Heslinga FG; Veta M; van Ginneken B; Išgum I, 2022, 'Knowledge distillation with ensembles of convolutional neural networks for medical image segmentation.', J Med Imaging (Bellingham), 9, pp. 052407, http://dx.doi.org/10.1117/1.JMI.9.5.052407
    Journal articles | 2022
    Pinckaers H; van Ginneken B; Litjens G, 2022, 'Streaming Convolutional Neural Networks for End-to-End Learning With Multi-Megapixel Images.', IEEE Trans Pattern Anal Mach Intell, 44, pp. 1581 - 1590, http://dx.doi.org/10.1109/TPAMI.2020.3019563
    Journal articles | 2022
    Qayyum A; Benzinou A; Razzak I; Mazher M; Nguyen TT; Puig D; Vafaee F, 2022, '3D-IncNet: Head and Neck (H&amp;N) Primary Tumors Segmentation and Survival Prediction', IEEE Journal of Biomedical and Health Informatics, http://dx.doi.org/10.1109/JBHI.2022.3219445
    Journal articles | 2022
    Qayyum A; Razzak I; Moustafa N; Mazher M, 2022, 'Progressive ShallowNet for large scale dynamic and spontaneous facial behaviour analysis in children', Image and Vision Computing, 119, http://dx.doi.org/10.1016/j.imavis.2022.104375
    Journal articles | 2022
    Qazi EUH; Imran M; Haider N; Shoaib M; Razzak I, 2022, 'An intelligent and efficient network intrusion detection system using deep learning', Computers and Electrical Engineering, 99, http://dx.doi.org/10.1016/j.compeleceng.2022.107764
    Journal articles | 2022
    Rahim MA; Rahman MA; Rahman MM; Zaman N; Moustafa N; Razzak I, 2022, 'An Intelligent Risk Management Framework for Monitoring Vehicular Engine Health', IEEE Transactions on Green Communications and Networking, 6, pp. 1298 - 1306, http://dx.doi.org/10.1109/TGCN.2022.3179350
    Journal articles | 2022
    Rahman MA; Mukta MY; Asyhari AT; Moustafa N; Patwary MN; Yousuf A; Razzak I; Gupta BB, 2022, 'Renewable Energy Re-Distribution via Multiscale IoT for 6G-Oriented Green Highway Management', IEEE Transactions on Intelligent Transportation Systems, 23, pp. 23771 - 23780, http://dx.doi.org/10.1109/TITS.2022.3203208
    Journal articles | 2022
    Rahman MA; Rahim MA; Rahman MM; Moustafa N; Razzak I; Ahmad T; Patwary MN, 2022, 'A Secure and Intelligent Framework for Vehicle Health Monitoring Exploiting Big-Data Analytics', IEEE Transactions on Intelligent Transportation Systems, 23, pp. 19727 - 19742, http://dx.doi.org/10.1109/TITS.2021.3138255
    Journal articles | 2022
    Razzak I; Eklund P; Xu G, 2022, 'Improving healthcare outcomes using multimedia big data analytics', Neural Computing and Applications, 34, pp. 15095 - 15097, http://dx.doi.org/10.1007/s00521-022-07397-w
    Journal articles | 2022
    Razzak I; Eklund P; Xu G, 2022, 'Introduction to the special section on securing IoT-based critical infrastructure (VSI-cei)', Computers and Electrical Engineering, 101, http://dx.doi.org/10.1016/j.compeleceng.2022.108118
    Journal articles | 2022
    Razzak I; Moustafa N; Mumtaz S; Xu G, 2022, 'One-class tensor machine with randomized projection for large-scale anomaly detection in high-dimensional and noisy data', International Journal of Intelligent Systems, 37, pp. 4515 - 4536, http://dx.doi.org/10.1002/int.22729
    Journal articles | 2022
    Razzak I; Naz S; Alinejad-Rokny H; Nguyen TN; Khalifa F, 2022, 'A Cascaded Mutliresolution Ensemble Deep Learning Framework for Large Scale Alzheimer&#x0027;s Disease Detection using Brain MRIs', IEEE/ACM Transactions on Computational Biology and Bioinformatics, http://dx.doi.org/10.1109/TCBB.2022.3219032
    Journal articles | 2022
    Razzak I; Naz S; Ashraf A; Khalifa F; Bouadjenek MR; Mumtaz S, 2022, 'Mutliresolutional ensemble PartialNet for Alzheimer detection using magnetic resonance imaging data', International Journal of Intelligent Systems, 37, pp. 6613 - 6630, http://dx.doi.org/10.1002/int.22856
    Journal articles | 2022
    Razzak I; Naz S, 2022, 'Unit-Vise: Deep Shallow Unit-Vise Residual Neural Networks With Transition Layer For Expert Level Skin Cancer Classification', IEEE/ACM Transactions on Computational Biology and Bioinformatics, 19, pp. 1225 - 1234, http://dx.doi.org/10.1109/TCBB.2020.3039358
    Journal articles | 2022
    Razzak I; Xu G; Khan MK, 2022, 'Guest Editorial: Privacy-Preserving Federated Machine Learning Solutions for Enhanced Security of Critical Energy Infrastructures', IEEE Transactions on Industrial Informatics, 18, pp. 3449 - 3451, http://dx.doi.org/10.1109/TII.2021.3128962
    Journal articles | 2022
    Rehman A; Naz S; Razzak I, 2022, 'Leveraging big data analytics in healthcare enhancement: trends, challenges and opportunities', Multimedia Systems, 28, pp. 1339 - 1371, http://dx.doi.org/10.1007/s00530-020-00736-8
    Journal articles | 2022
    Salim S; Moustafa N; Turnbull B; Razzak I, 2022, 'Perturbation-enabled Deep Federated Learning for Preserving Internet of Things-based Social Networks', ACM Transactions on Multimedia Computing, Communications and Applications, 18, http://dx.doi.org/10.1145/3537899
    Journal articles | 2022
    Schaap MJ; Cardozo NJ; Patel A; de Jong EMGJ; van Ginneken B; Seyger MMB, 2022, 'Image-based automated Psoriasis Area Severity Index scoring by Convolutional Neural Networks.', J Eur Acad Dermatol Venereol, 36, pp. 68 - 75, http://dx.doi.org/10.1111/jdv.17711
    Journal articles | 2022
    Schilpzand M; Neff C; van Dillen J; van Ginneken B; Heskes T; de Korte C; van den Heuvel T, 2022, 'Automatic Placenta Localization From Ultrasound Imaging in a Resource-Limited Setting Using a Predefined Ultrasound Acquisition Protocol and Deep Learning.', Ultrasound Med Biol, 48, pp. 663 - 674, http://dx.doi.org/10.1016/j.ultrasmedbio.2021.12.006
    Journal articles | 2022
    Schreuder A; Jacobs C; Lessmann N; Broeders MJM; Silva M; Išgum I; de Jong PA; van den Heuvel MM; Sverzellati N; Prokop M; Pastorino U; Schaefer-Prokop CM; van Ginneken B, 2022, 'Scan-based competing death risk model for re-evaluating lung cancer computed tomography screening eligibility.', Eur Respir J, 59, http://dx.doi.org/10.1183/13993003.01613-2021
    Journal articles | 2022
    Sogancioglu E; Murphy K; Th Scholten E; Boulogne LH; Prokop M; van Ginneken B, 2022, 'Automated estimation of total lung volume using chest radiographs and deep learning.', Med Phys, 49, pp. 4466 - 4477, http://dx.doi.org/10.1002/mp.15655
    Journal articles | 2022
    Sufi FK; Razzak I; Khalil I, 2022, 'Tracking Anti-Vax Social Movement Using AI-Based Social Media Monitoring', IEEE Transactions on Technology and Society, 3, pp. 290 - 299, http://dx.doi.org/10.1109/tts.2022.3192757
    Journal articles | 2022
    Tanveer M; Rashid AH; Ganaie MA; Reza M; Razzak I; Hua KL, 2022, 'Classification of Alzheimer's Disease Using Ensemble of Deep Neural Networks Trained Through Transfer Learning', IEEE Journal of Biomedical and Health Informatics, 26, pp. 1453 - 1463, http://dx.doi.org/10.1109/JBHI.2021.3083274
    Journal articles | 2022
    Vinayahalingam S; van Nistelrooij N; van Ginneken B; Bressem K; Tröltzsch D; Heiland M; Flügge T; Gaudin R, 2022, 'Detection of mandibular fractures on panoramic radiographs using deep learning.', Sci Rep, 12, pp. 19596, http://dx.doi.org/10.1038/s41598-022-23445-w
    Journal articles | 2022
    Yakhchi S; Behehsti A; Ghafari SM; Razzak I; Orgun M; Elahi M, 2022, 'A Convolutional Attention Network for Unifying General and Sequential Recommenders', Information Processing and Management, 59, http://dx.doi.org/10.1016/j.ipm.2021.102755
    Journal articles | 2022
    Zhou Z; Gaurav A; Gupta BB; Lytras MD; Razzak I, 2022, 'A Fine-Grained Access Control and Security Approach for Intelligent Vehicular Transport in 6G Communication System', IEEE Transactions on Intelligent Transportation Systems, 23, pp. 9726 - 9735, http://dx.doi.org/10.1109/TITS.2021.3106825
    Journal articles | 2022
    Zogan H; Razzak I; Wang X; Jameel S; Xu G, 2022, 'Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media', World Wide Web, 25, pp. 281 - 304, http://dx.doi.org/10.1007/s11280-021-00992-2
    Journal articles | 2022
    van Leeuwen KG; de Rooij M; Schalekamp S; van Ginneken B; Rutten MJCM, 2022, 'How does artificial intelligence in radiology improve efficiency and health outcomes?', Pediatr Radiol, 52, pp. 2087 - 2093, http://dx.doi.org/10.1007/s00247-021-05114-8
    Journal articles | 2022
    Çallı E; Murphy K; Scholten ET; Schalekamp S; van Ginneken B, 2022, 'Explainable emphysema detection on chest radiographs with deep learning.', PLoS One, 17, pp. e0267539, http://dx.doi.org/10.1371/journal.pone.0267539
    Journal articles | 2021
    Afaq A; Haider N; Baig MZ; Khan KS; Imran M; Razzak I, 2021, 'Machine learning for 5G security: Architecture, recent advances, and challenges', Ad Hoc Networks, 123, http://dx.doi.org/10.1016/j.adhoc.2021.102667
    Journal articles | 2021
    Ahmad R; Naz S; Razzak I, 2021, 'Efficient skew detection and correction in scanned document images through clustering of probabilistic hough transforms', Pattern Recognition Letters, 152, pp. 93 - 99, http://dx.doi.org/10.1016/j.patrec.2021.09.014
    Journal articles | 2021
    Ashraf A; Naz S; Shirazi SH; Razzak I; Parsad M, 2021, 'Deep transfer learning for alzheimer neurological disorder detection', Multimedia Tools and Applications, 80, pp. 30117 - 30142, http://dx.doi.org/10.1007/s11042-020-10331-8
    Journal articles | 2021
    Bortsova G; González-Gonzalo C; Wetstein SC; Dubost F; Katramados I; Hogeweg L; Liefers B; van Ginneken B; Pluim JPW; Veta M; Sánchez CI; de Bruijne M, 2021, 'Adversarial attack vulnerability of medical image analysis systems: Unexplored factors.', Med Image Anal, 73, pp. 102141, http://dx.doi.org/10.1016/j.media.2021.102141
    Journal articles | 2021
    Caballo M; Hernandez AM; Lyu SH; Teuwen J; Mann RM; van Ginneken B; Boone JM; Sechopoulos I, 2021, 'Computer-aided diagnosis of masses in breast computed tomography imaging: deep learning model with combined handcrafted and convolutional radiomic features.', J Med Imaging (Bellingham), 8, pp. 024501, http://dx.doi.org/10.1117/1.JMI.8.2.024501
    Journal articles | 2021
    Gupta BB; Yadav K; Razzak I; Psannis K; Castiglione A; Chang X, 2021, 'A novel approach for phishing URLs detection using lexical based machine learning in a real-time environment', Computer Communications, 175, pp. 47 - 57, http://dx.doi.org/10.1016/j.comcom.2021.04.023
    Journal articles | 2021
    Harlianto NI; Westerink J; Foppen W; Hol ME; Wittenberg R; van der Veen PH; van Ginneken B; Kuperus JS; Verlaan J-J; de Jong PA; Mohamed Hoesein FAA; On Behalf Of The Ucc-Smart-Study Group , 2021, 'Visceral Adipose Tissue and Different Measures of Adiposity in Different Severities of Diffuse Idiopathic Skeletal Hyperostosis.', J Pers Med, 11, http://dx.doi.org/10.3390/jpm11070663
    Journal articles | 2021
    Hendrix N; Scholten E; Vernhout B; Bruijnen S; Maresch B; de Jong M; Diepstraten S; Bollen S; Schalekamp S; de Rooij M; Scholtens A; Hendrix W; Samson T; Sharon Ong L-L; Postma E; van Ginneken B; Rutten M, 2021, 'Development and Validation of a Convolutional Neural Network for Automated Detection of Scaphoid Fractures on Conventional Radiographs.', Radiol Artif Intell, 3, pp. e200260, http://dx.doi.org/10.1148/ryai.2021200260
    Journal articles | 2021
    Hering A; Häger S; Moltz J; Lessmann N; Heldmann S; van Ginneken B, 2021, 'CNN-based lung CT registration with multiple anatomical constraints.', Med Image Anal, 72, pp. 102139, http://dx.doi.org/10.1016/j.media.2021.102139
    Journal articles | 2021
    Islam MR; Liu S; Biddle R; Razzak I; Wang X; Tilocca P; Xu G, 2021, 'Discovering dynamic adverse behavior of policyholders in the life insurance industry', Technological Forecasting and Social Change, 163, http://dx.doi.org/10.1016/j.techfore.2020.120486
    Journal articles | 2021
    Jacobs C; Schreuder A; van Riel SJ; Scholten ET; Wittenberg R; Wille MMW; de Hoop B; Sprengers R; Mets OM; Geurts B; Prokop M; Schaefer-Prokop C; van Ginneken B, 2021, 'Assisted versus Manual Interpretation of Low-Dose CT Scans for Lung Cancer Screening: Impact on Lung-RADS Agreement.', Radiol Imaging Cancer, 3, pp. e200160, http://dx.doi.org/10.1148/rycan.2021200160
    Journal articles | 2021
    Jacobs C; Setio AAA; Scholten ET; Gerke PK; Bhattacharya H; M Hoesein FA; Brink M; Ranschaert E; de Jong PA; Silva M; Geurts B; Chung K; Schalekamp S; Meersschaert J; Devaraj A; Pinsky PF; Lam SC; van Ginneken B; Farahani K, 2021, 'Deep Learning for Lung Cancer Detection on Screening CT Scans: Results of a Large-Scale Public Competition and an Observer Study with 11 Radiologists.', Radiol Artif Intell, 3, pp. e210027, http://dx.doi.org/10.1148/ryai.2021210027
    Journal articles | 2021
    Kamran I; Naz S; Razzak I; Imran M, 2021, 'Handwriting dynamics assessment using deep neural network for early identification of Parkinson's disease', Future Generation Computer Systems, 117, pp. 234 - 244, http://dx.doi.org/10.1016/j.future.2020.11.020
    Journal articles | 2021
    Khan MZ; Khan MUG; Saba T; Razzak I; Rehman A; Bahaj SA, 2021, 'Hot-Spot Zone Detection to Tackle Covid19 Spread by Fusing the Traditional Machine Learning and Deep Learning Approaches of Computer Vision', IEEE Access, 9, pp. 100040 - 100049, http://dx.doi.org/10.1109/ACCESS.2021.3094720
    Journal articles | 2021
    Khan SK; Naseem U; Siraj H; Razzak I; Imran M, 2021, 'The role of unmanned aerial vehicles and mmWave in 5G: Recent advances and challenges', Transactions on Emerging Telecommunications Technologies, 32, http://dx.doi.org/10.1002/ett.4241
    Journal articles | 2021
    Khattak A; Habib A; Asghar MZ; Subhan F; Razzak I; Habib A, 2021, 'Applying deep neural networks for user intention identification', Soft Computing, 25, pp. 2191 - 2220, http://dx.doi.org/10.1007/s00500-020-05290-z
    Journal articles | 2021
    Lessmann N; Sánchez CI; Beenen L; Boulogne LH; Brink M; Calli E; Charbonnier J-P; Dofferhoff T; van Everdingen WM; Gerke PK; Geurts B; Gietema HA; Groeneveld M; van Harten L; Hendrix N; Hendrix W; Huisman HJ; Išgum I; Jacobs C; Kluge R; Kok M; Krdzalic J; Lassen-Schmidt B; van Leeuwen K; Meakin J; Overkamp M; van Rees Vellinga T; van Rikxoort EM; Samperna R; Schaefer-Prokop C; Schalekamp S; Scholten ET; Sital C; Stöger JL; Teuwen J; Venkadesh KV; de Vente C; Vermaat M; Xie W; de Wilde B; Prokop M; van Ginneken B, 2021, 'Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence.', Radiology, 298, pp. E18 - E28, http://dx.doi.org/10.1148/radiol.2020202439
    Journal articles | 2021
    Meyer A; Chlebus G; Rak M; Schindele D; Schostak M; van Ginneken B; Schenk A; Meine H; Hahn HK; Schreiber A; Hansen C, 2021, 'Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI.', Comput Methods Programs Biomed, 200, pp. 105821, http://dx.doi.org/10.1016/j.cmpb.2020.105821
    Journal articles | 2021
    Naseem U; Razzak I; Eklund PW, 2021, 'A survey of pre-processing techniques to improve short-text quality: a case study on hate speech detection on twitter', Multimedia Tools and Applications, 80, pp. 35239 - 35266, http://dx.doi.org/10.1007/s11042-020-10082-6
    Journal articles | 2021
    Naseem U; Razzak I; Khan SK; Prasad M, 2021, 'A Comprehensive Survey on Word Representation Models: From Classical to State-of-the-Art Word Representation Language Models', ACM Transactions on Asian and Low-Resource Language Information Processing, 20, http://dx.doi.org/10.1145/3434237
    Journal articles | 2021
    Naseem U; Razzak I; Khushi M; Eklund PW; Kim J, 2021, 'COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis', IEEE Transactions on Computational Social Systems, 8, pp. 976 - 988, http://dx.doi.org/10.1109/TCSS.2021.3051189
    Journal articles | 2021
    Qayyum A; Razzak I; Malik AS; Anwar S, 2021, 'Fusion of CNN and sparse representation for threat estimation near power lines and poles infrastructure using aerial stereo imagery', Technological Forecasting and Social Change, 168, http://dx.doi.org/10.1016/j.techfore.2021.120762
    Journal articles | 2021
    Qayyum A; Razzak I; Tanveer M; Kumar A, 2021, 'Depth-wise dense neural network for automatic COVID19 infection detection and diagnosis', Annals of Operations Research, http://dx.doi.org/10.1007/s10479-021-04154-5
    Journal articles | 2021
    Razzak I; Perez-Franco R; Eklund P, 2021, 'Call for Special Issue Papers: Levering Emerging Technologies in Supply Chain Management', Big data, 9, pp. 328 - 329, http://dx.doi.org/10.1089/big.2021.29047.cfp
    Journal articles | 2021
    Razzak I; Perez-Franco R; Eklund P, 2021, 'Call for Special Issue Papers: Levering Emerging Technologies in Supply Chain Management', Big data, 9, pp. 406 - 407, http://dx.doi.org/10.1089/big.2021.29047.cfp2
    Journal articles | 2021
    Razzak I; Perez-Franco R; Eklund P, 2021, 'Call for Special Issue Papers: Levering Emerging Technologies in Supply Chain Management', Big data, 9, pp. 411 - 412, http://dx.doi.org/10.1089/big.2021.29047.cfp3
    Journal articles | 2021
    Schreuder A; Scholten ET; van Ginneken B; Jacobs C, 2021, 'Artificial intelligence for detection and characterization of pulmonary nodules in lung cancer CT screening: ready for practice?', Transl Lung Cancer Res, 10, pp. 2378 - 2388, http://dx.doi.org/10.21037/tlcr-2020-lcs-06
    Journal articles | 2021
    Sharma DK; Dhankhar T; Agrawal G; Singh SK; Gupta D; Nebhen J; Razzak I, 2021, 'Anomaly detection framework to prevent DDoS attack in fog empowered IoT networks', Ad Hoc Networks, 121, http://dx.doi.org/10.1016/j.adhoc.2021.102603
    Journal articles | 2021
    Uddin MA; Ayaz M; Mansour A; Aggoune EHM; El Fawal AH; Razzak I, 2021, 'Ground target finding mechanism for unmanned aerial vehicles to secure crop field data', Transactions on Emerging Telecommunications Technologies, 32, http://dx.doi.org/10.1002/ett.4210
    Journal articles | 2021
    Uddin MA; Ayaz M; Mansour A; Aggoune EHM; Sharif Z; Razzak I, 2021, 'Cloud-connected flying edge computing for smart agriculture', Peer-to-Peer Networking and Applications, 14, pp. 3405 - 3415, http://dx.doi.org/10.1007/s12083-021-01191-6
    Journal articles | 2021
    Usama M; Malluhi QM; Zakaria N; Razzak I; Iqbal W, 2021, 'An efficient secure data compression technique based on chaos and adaptive Huffman coding', Peer-to-Peer Networking and Applications, 14, pp. 2651 - 2664, http://dx.doi.org/10.1007/s12083-020-00981-8
    Journal articles | 2021
    Venkadesh KV; Setio AAA; Schreuder A; Scholten ET; Chung K; W Wille MM; Saghir Z; van Ginneken B; Prokop M; Jacobs C, 2021, 'Deep Learning for Malignancy Risk Estimation of Pulmonary Nodules Detected at Low-Dose Screening CT.', Radiology, 300, pp. 438 - 447, http://dx.doi.org/10.1148/radiol.2021204433
    Journal articles | 2021
    Yousaf W; Umar A; Shirazi SH; Khan Z; Razzak I; Zaka M, 2021, 'Patch-CNN: Deep learning for logo detection and brand recognition', Journal of Intelligent and Fuzzy Systems, 40, pp. 3849 - 3862, http://dx.doi.org/10.3233/JIFS-190660
    Journal articles | 2021
    Zhang JJ; Wang FY; Yuan Y; Xu G; Liu H; Gao W; Jameel S; Razzak I; Eklund P; Ahmed S; Qin R; Li J; Wang X; Yang DN; Turgut D; Benslimane A; Prasad N; Chen KC, 2021, 'Guest Editorial Computational Social Systems for COVID-19 Emergency Management and beyond', IEEE Transactions on Computational Social Systems, 8, pp. 928 - 929, http://dx.doi.org/10.1109/TCSS.2021.3095472
    Journal articles | 2021
    Zhou SK; Greenspan H; Davatzikos C; Duncan JS; van Ginneken B; Madabhushi A; Prince JL; Rueckert D; Summers RM, 2021, 'A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises.', Proc IEEE Inst Electr Electron Eng, 109, pp. 820 - 838, http://dx.doi.org/10.1109/JPROC.2021.3054390
    Journal articles | 2021
    van Ginneken B, 2021, 'The Potential of Artificial Intelligence to Analyze Chest Radiographs for Signs of COVID-19 Pneumonia.', Radiology, 299, pp. E214 - E215, http://dx.doi.org/10.1148/radiol.2020204238
    Journal articles | 2021
    van Leeuwen KG; Meijer FJA; Schalekamp S; Rutten MJCM; van Dijk EJ; van Ginneken B; Govers TM; de Rooij M, 2021, 'Cost-effectiveness of artificial intelligence aided vessel occlusion detection in acute stroke: an early health technology assessment.', Insights Imaging, 12, pp. 133, http://dx.doi.org/10.1186/s13244-021-01077-4
    Journal articles | 2021
    van Leeuwen KG; Schalekamp S; Rutten MJCM; van Ginneken B; de Rooij M, 2021, 'Artificial intelligence in radiology: 100 commercially available products and their scientific evidence.', Eur Radiol, 31, pp. 3797 - 3804, http://dx.doi.org/10.1007/s00330-021-07892-z
    Journal articles | 2021
    Çallı E; Murphy K; Kurstjens S; Samson T; Herpers R; Smits H; Rutten M; van Ginneken B, 2021, 'Deep learning with robustness to missing data: A novel approach to the detection of COVID-19.', PLoS One, 16, pp. e0255301, http://dx.doi.org/10.1371/journal.pone.0255301
    Journal articles | 2021
    Çallı E; Sogancioglu E; van Ginneken B; van Leeuwen KG; Murphy K, 2021, 'Deep learning for chest X-ray analysis: A survey.', Med Image Anal, 72, pp. 102125, http://dx.doi.org/10.1016/j.media.2021.102125
    Journal articles | 2020
    Humpire-Mamani GE; Bukala J; Scholten ET; Prokop M; van Ginneken B; Jacobs C, 2020, 'Fully Automatic Volume Measurement of the Spleen at CT Using Deep Learning.', Radiol Artif Intell, 2, pp. e190102, http://dx.doi.org/10.1148/ryai.2020190102
    Journal articles | 2020
    Naseem U; Razzak I; Musial K; Imran M, 2020, 'Transformer based Deep Intelligent Contextual Embedding for Twitter sentiment analysis', Future Generation Computer Systems, 113, pp. 58 - 69, http://dx.doi.org/10.1016/j.future.2020.06.050
    Journal articles | 2020
    Naseer A; Rani M; Naz S; Razzak MI; Imran M; Xu G, 2020, 'Refining Parkinson’s neurological disorder identification through deep transfer learning', Neural Computing and Applications, 32, pp. 839 - 854, http://dx.doi.org/10.1007/s00521-019-04069-0
    Journal articles | 2020
    Naz S; Khan NH; Zahoor S; Razzak MI, 2020, 'Deep OCR for Arabic script-based language like Pastho', Expert Systems, 37, http://dx.doi.org/10.1111/exsy.12565
    Journal articles | 2020
    Razzak I; Saris RA; Blumenstein M; Xu G, 2020, 'Integrating joint feature selection into subspace learning: A formulation of 2DPCA for outliers robust feature selection', Neural Networks, 121, pp. 441 - 451, http://dx.doi.org/10.1016/j.neunet.2019.08.030
    Journal articles | 2020
    Razzak I; Zafar K; Imran M; Xu G, 2020, 'Randomized nonlinear one-class support vector machines with bounded loss function to detect of outliers for large scale IoT data', Future Generation Computer Systems, 112, pp. 715 - 723, http://dx.doi.org/10.1016/j.future.2020.05.045
    Journal articles | 2020
    Razzak MI; Imran M; Xu G, 2020, 'Big data analytics for preventive medicine', Neural Computing and Applications, 32, pp. 4417 - 4451, http://dx.doi.org/10.1007/s00521-019-04095-y
    Journal articles | 2020
    Rehman A; Naz S; Razzak MI; Akram F; Imran M, 2020, 'A Deep Learning-Based Framework for Automatic Brain Tumors Classification Using Transfer Learning', Circuits, Systems, and Signal Processing, 39, pp. 757 - 775, http://dx.doi.org/10.1007/s00034-019-01246-3
    Journal articles | 2020
    Saxena A; Pare S; Meena MS; Gupta D; Gupta A; Razzak I; Lin CT; Prasad M, 2020, 'A two-phase approach for semi-supervised feature selection', Algorithms, 13, http://dx.doi.org/10.3390/A13090215
    Journal articles | 2020
    Schreuder A; Jacobs C; Scholten ET; van Ginneken B; Schaefer-Prokop CM; Prokop M, 2020, 'Typical CT Features of Intrapulmonary Lymph Nodes: A Review.', Radiol Cardiothorac Imaging, 2, pp. e190159, http://dx.doi.org/10.1148/ryct.2020190159
    Journal articles | 2020
    Zahoor S; Naz S; Khan NH; Razzak MI, 2020, 'Deep optical character recognition: A case of Pashto language', Journal of Electronic Imaging, 29, http://dx.doi.org/10.1117/1.JEI.29.2.023002
    Journal articles | 2019
    Ahmed SB; Hameed IA; Naz S; Razzak MI; Yusof R, 2019, 'Evaluation of handwritten Urdu text by integration of MNIST dataset learning experience', IEEE Access, 7, pp. 153566 - 153578, http://dx.doi.org/10.1109/ACCESS.2019.2946313
    Journal articles | 2019
    Ahmed SB; Naz S; Razzak MI; Yusof R, 2019, 'Arabic cursive text recognition from natural scene images', Applied Sciences (Switzerland), 9, http://dx.doi.org/10.3390/app9020236
    Journal articles | 2019
    Ahmed SB; Naz S; Razzak MI; Yusof RB, 2019, 'A Novel Dataset for English-Arabic Scene Text Recognition (EASTR)-42K and Its Evaluation Using Invariant Feature Extraction on Detected Extremal Regions', IEEE Access, 7, pp. 19801 - 19820, http://dx.doi.org/10.1109/ACCESS.2019.2895876
    Journal articles | 2019
    Ahmed SB; Naz S; Swati S; Razzak MI, 2019, 'Handwritten Urdu character recognition using one-dimensional BLSTM classifier', Neural Computing and Applications, 31, pp. 1143 - 1151, http://dx.doi.org/10.1007/s00521-017-3146-x
    Journal articles | 2019
    Asghar MZ; Razzak MI; Virk SM, 2019, 'A Special Section on Social Computing in Health Informatics', JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 9, pp. 1167 - 1170, http://dx.doi.org/10.1166/jmihi.2019.2697
    Journal articles | 2019
    Razzak I; Blumenstein M; Xu G, 2019, 'Multiclass Support Matrix Machines by Maximizing the Inter-Class Margin for Single Trial EEG Classification', IEEE Transactions on Neural Systems and Rehabilitation Engineering, 27, pp. 1117 - 1127, http://dx.doi.org/10.1109/TNSRE.2019.2913142
    Journal articles | 2019
    Razzak I; Hameed IA; Xu G, 2019, 'Robust Sparse Representation and Multiclass Support Matrix Machines for the Classification of Motor Imagery EEG Signals', IEEE Journal of Translational Engineering in Health and Medicine, 7, http://dx.doi.org/10.1109/JTEHM.2019.2942017
    Journal articles | 2019
    Razzak MI; Imran M; Xu G, 2019, 'Efficient Brain Tumor Segmentation with Multiscale Two-Pathway-Group Conventional Neural Networks', IEEE Journal of Biomedical and Health Informatics, 23, pp. 1911 - 1919, http://dx.doi.org/10.1109/JBHI.2018.2874033
    Journal articles | 2019
    Rehman A; Naz S; Razzak MI; Hameed IA, 2019, 'Automatic Visual Features for Writer Identification: A Deep Learning Approach', IEEE Access, 7, pp. 17149 - 17157, http://dx.doi.org/10.1109/ACCESS.2018.2890810
    Journal articles | 2019
    Rehman A; Naz S; Razzak MI, 2019, 'Writer identification using machine learning approaches: a comprehensive review', Multimedia Tools and Applications, 78, pp. 10889 - 10931, http://dx.doi.org/10.1007/s11042-018-6577-1
    Journal articles | 2019
    Saeed Z; Abbasi RA; Maqbool O; Sadaf A; Razzak I; Daud A; Aljohani NR; Xu G, 2019, 'What’s Happening Around the World? A Survey and Framework on Event Detection Techniques on Twitter', Journal of Grid Computing, 17, pp. 279 - 312, http://dx.doi.org/10.1007/s10723-019-09482-2
    Journal articles | 2019
    Saeed Z; Abbasi RA; Razzak I; Maqbool O; Sadaf A; Xu G, 2019, 'Enhanced Heartbeat Graph for emerging event detection on Twitter using time series networks', Expert Systems with Applications, 136, pp. 115 - 132, http://dx.doi.org/10.1016/j.eswa.2019.06.005
    Journal articles | 2019
    Saeed Z; Ayaz Abbasi R; Razzak MI; Xu G, 2019, 'Event Detection in Twitter Stream Using Weighted Dynamic Heartbeat Graph Approach [Application Notes]', IEEE Computational Intelligence Magazine, 14, pp. 29 - 38, http://dx.doi.org/10.1109/MCI.2019.2919395
    Journal articles | 2018
    Naz S; Umar AI; Ahmed SB; Ahmad R; Shirazi SH; Razzak MI; Zaman A, 2018, 'Statistical features extraction for character recognition using recurrent neural network', Pakistan Journal of Statistics, 34, pp. 47 - 53
    Journal articles | 2017
    Bin Ahmed S; Naz S; Swati S; Razzak I; Umar AI; Ali Khan A, 2017, 'UCOM offline dataset-an Urdu handwritten dataset generation', International Arab Journal of Information Technology, 14, pp. 239 - 245
    Journal articles | 2017
    Naz S; Umar AI; Ahmad R; Ahmed SB; Shirazi SH; Razzak MI, 2017, 'Urdu Nasta’liq text recognition system based on multi-dimensional recurrent neural network and statistical features', Neural Computing and Applications, 28, pp. 219 - 231, http://dx.doi.org/10.1007/s00521-015-2051-4
    Journal articles | 2017
    Naz S; Umar AI; Ahmad R; Siddiqi I; Ahmed SB; Razzak MI; Shafait F, 2017, 'Urdu Nastaliq recognition using convolutional–recursive deep learning', Neurocomputing, 243, pp. 80 - 87, http://dx.doi.org/10.1016/j.neucom.2017.02.081
    Journal articles | 2017
    Shirazi SH; Umar AI; Haq N; Naz S; Razzak MI; Zaib A, 2017, 'Extreme learning machine based microscopic red blood cells classification', Cluster Computing, 21, pp. 691 - 701, http://dx.doi.org/10.1007/s10586-017-0978-1
    Journal articles | 2016
    Ahmed SB; Naz S; Razzak MI; Rashid SF; Afzal MZ; Breuel TM, 2016, 'Evaluation of cursive and non-cursive scripts using recurrent neural networks', Neural Computing and Applications, 27, pp. 603 - 613, http://dx.doi.org/10.1007/s00521-015-1881-4
    Journal articles | 2016
    Al Asaimi AA; Razzak MI; Alshammari R, 2016, 'Developing ontology for RFID based infant protection system', Advanced Science Letters, 22, pp. 2759 - 2763, http://dx.doi.org/10.1166/asl.2016.7085
    Journal articles | 2016
    Al Moamary E; Alshammari R; Razzak MI, 2016, 'Blood bank control system: An ontology', Advanced Science Letters, 22, pp. 2822 - 2826, http://dx.doi.org/10.1166/asl.2016.7086
    Journal articles | 2016
    Alsomali W; Razzak I; Alshammari R, 2016, 'Development of ontology for penicillin-Related adverse events', Journal of Medical Imaging and Health Informatics, 6, pp. 620 - 626, http://dx.doi.org/10.1166/jmihi.2016.1724
    Journal articles | 2016
    Ghamdi HA; Alshammari R; Razzak MI, 2016, 'An ontology-based system to predict hospital readmission within 30 days', International Journal of Healthcare Management, 9, pp. 236 - 244, http://dx.doi.org/10.1080/20479700.2016.1139768
    Journal articles | 2016
    Naz S; Umar AI; Ahmad R; Ahmed SB; Shirazi SH; Siddiqi I; Razzak MI, 2016, 'Offline cursive Urdu-Nastaliq script recognition using multidimensional recurrent neural networks', Neurocomputing, 177, pp. 228 - 241, http://dx.doi.org/10.1016/j.neucom.2015.11.030
    Journal articles | 2016
    Naz S; Umar AI; Ahmed R; Razzak MI; Rashid SF; Shafait F, 2016, 'Urdu Nasta’liq text recognition using implicit segmentation based on multi-dimensional long short term memory neural networks', SpringerPlus, 5, http://dx.doi.org/10.1186/s40064-016-3442-4
    Journal articles | 2016
    Naz S; Umar AI; Shirazi SH; Ahmed SB; Razzak MI; Siddiqi I, 2016, 'Segmentation techniques for recognition of Arabic-like scripts: A comprehensive survey', Education and Information Technologies, 21, pp. 1225 - 1241, http://dx.doi.org/10.1007/s10639-015-9377-5
    Journal articles | 2016
    Shirazi SH; Umar AI; Naz S; Razzak MI, 2016, 'Efficient leukocyte segmentation and recognition in peripheral blood image', Technology and Health Care, 24, pp. 335 - 347, http://dx.doi.org/10.3233/THC-161133
    Journal articles | 2015
    Daghistani T; Shammari RA; Razzak MI, 2015, 'Discovering diabetes complications: An ontology based model', Acta Informatica Medica, 23, pp. 385 - 392, http://dx.doi.org/10.5455/aim.2015.23.385-392
    Journal articles | 2015
    Mahmood L; Shirazi SF; Naz S; Shirazi SH; Razzak MI; Umar AI; Ashraf SS, 2015, 'Adaptive filtering algorithms for channel equalization in wireless communication', Indian Journal of Science and Technology, 8, http://dx.doi.org/10.17485/ijst/2015/v8i17/57805
    Journal articles | 2015
    Razzak MI; Alhaqbani B, 2015, 'Automatic detection of malarial parasite using microscopic blood images', Journal of Medical Imaging and Health Informatics, 5, pp. 591 - 598, http://dx.doi.org/10.1166/jmihi.2015.1417
    Journal articles | 2015
    Razzak MI; Alhaqbani B, 2015, 'Multilevel fusion for fast online signature recognition using multi-section VQ and time modelling', Neural Computing and Applications, 26, pp. 1117 - 1127, http://dx.doi.org/10.1007/s00521-014-1779-6
    Journal articles | 2014
    Naz S; Hayat K; Razzak MI; Anwar MW; Madani SA; Khan SU, 2014, 'The optical character recognition of Urdu-like cursive scripts', PATTERN RECOGNITION, 47, pp. 1229 - 1248, http://dx.doi.org/10.1016/j.patcog.2013.09.037
    Journal articles | 2014
    Naz S; Razzak MI; Hayat K; Anwar MW; Khan SZ, 2014, 'Challenges in baseline detection of arabic script based languages', Studies in Computational Intelligence, 542, pp. 181 - 196, http://dx.doi.org/10.1007/978-3-319-04702-7_11
    Journal articles | 2012
    Razzak MI; Elmogy BA; Khan MK; Alghathbar K, 2012, 'Efficient distributed face recognition in wireless sensor network', International Journal of Innovative Computing, Information and Control, 8, pp. 2811 - 2822
    Journal articles | 2012
    Razzak MI; Husain SA; Mirza AA; Belaïd A, 2012, 'Fuzzy based preprocessing using fusion of online and offline trait for online Urdu script based languages character recognition', International Journal of Innovative Computing, Information and Control, 8, pp. 3149 - 3161
    Journal articles | 2012
    Razzak MI; Husain SA; Mirza AA; Khan MK, 2012, 'Bio-inspired multilayered and multilanguage Arabic script character recognition system', International Journal of Innovative Computing, Information and Control, 8, pp. 2681 - 2691
    Journal articles | 2011
    Khalil MS; Razzak MI; Khan MK, 2011, 'Fingerprint classification using PCA, LDA, L-LDA and BPN', Information, 14, pp. 3313 - 3323
    Journal articles | 2011
    Razzak MI; Husain SA; Khan MK; Sher M, 2011, 'Handling diacritical marks for online Arabic script based languages character recognition using fuzzy c-mean clustering and relative position', Information, 14, pp. 157 - 165
    Journal articles | 2011
    Razzak MI; Khan MK; Alghathbar K; Park JH, 2011, 'Energy efficient distributed face recognition in wireless sensor network', Wireless Personal Communications, 60, pp. 571 - 582, http://dx.doi.org/10.1007/s11277-011-0310-y
    Journal articles | 2011
    Razzak MI; Khan MK; Alghathbar K; Yusof R, 2011, 'CSLDA and LDA fusion based Face recognition', Przeglad Elektrotechniczny, 87, pp. 210 - 214
    Journal articles | 2011
    Razzak MI; Khan MK; Alghathbar K; Yusof R, 2011, 'Multimodal biometric recognition based on fusion of low resolution face and finger veins', International Journal of Innovative Computing, Information and Control, 7, pp. 4679 - 4689
    Journal articles | 2011
    Razzak MI; Mirza AA, 2011, 'Ghost character recognition theory and arabic script based languages character recognition', Przeglad Elektrotechniczny, 87, pp. 234 - 238
    Journal articles | 2010
    Razzak MI; Anwar F; Husain SA; Belaid A; Sher M, 2010, 'HMM and fuzzy logic: A hybrid approach for online Urdu script-based languages' character recognition', Knowledge-Based Systems, 23, pp. 914 - 923, http://dx.doi.org/10.1016/j.knosys.2010.06.007
    Journal articles | 2010
    Razzak MI; Sher M; Hussain SA, 2010, 'Locally baseline detection for online Arabic script based languages character recognition', International Journal of Physical Sciences, 5, pp. 955 - 959
    Journal articles | 2010
    Razzak MI; Yusaf R; Husain SA; Sher M, 2010, 'Rule based online Urdu character recognition', ICIC Express Letters, 4, pp. 571 - 576
    Journal articles | 2010
    Razzak MI; Yusof R; Khalid M, 2010, 'Multimodal face and finger veins biometric authentication', Scientific Research and Essays, 5, pp. 2529 - 2534
  • Preprints | 2024
    Alsuhaibani A; Zogan H; Razzak I; Jameel S; Xu G, 2024, IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification, , http://dx.doi.org/10.48550/arxiv.2401.04025
    Conference Papers | 2023
    Akinniyi O; Razzak I; Rahman MM; Sandhu H; El-Baz A; Khalifa F, 2023, 'Multi-Classification of Retinal Diseases Using a Pyramidal Ensemble Deep Framework', in Proceedings - International Conference on Image Processing, ICIP, pp. 1945 - 1949, http://dx.doi.org/10.1109/ICIP49359.2023.10222074
    Preprints | 2023
    Boulogne LH; Lorenz J; Kienzle D; Schon R; Ludwig K; Lienhart R; Jegou S; Li G; Chen C; Wang Q; Shi D; Maniparambil M; Muller D; Mertes S; Schroter N; Hellmann F; Elia M; Dirks I; Bossa MN; Berenguer AD; Mukherjee T; Vandemeulebroucke J; Sahli H; Deligiannis N; Gonidakis P; Huynh ND; Razzak I; Bouadjenek R; Verdicchio M; Borrelli P; Aiello M; Meakin JA; Lemm A; Russ C; Ionasec R; Paragios N; van Ginneken B; Dubois M-PR, 2023, The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data, , http://dx.doi.org/10.48550/arxiv.2306.10484
    Conference Papers | 2023
    Chen S; Naseem U; Razzak I, 2023, 'Debunking Biases in Attention', in Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 141 - 150
    Preprints | 2023
    Gunawardena R; Yin Y; Huang Y; Masood R; Seneviratne S; Razzak I; Tran N; Seneviratne A, 2023, Usability of Privacy Controls in Top Health Websites, , http://dx.doi.org/10.48550/arxiv.2303.01838
    Conference Papers | 2023
    Iqbal MZ; Razzak I; Qayyum A; Khan T; Sowmya A, 2023, 'Hybrid Unsupervised Deformable Image Registration for 4D CT Lung Image Intra-modalities', in 2023 International Conference on Digital Image Computing: Techniques and Applications (DICTA), IEEE, presented at 2023 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 28 November 2023 - 01 December 2023, http://dx.doi.org/10.1109/dicta60407.2023.00067
    Preprints | 2023
    Iqbal S; Khan TM; Naqvi SS; Usman M; Razzak I, 2023, LDMRes-Net: Enabling Efficient Medical Image Segmentation on IoT and Edge Platforms, , http://dx.doi.org/10.48550/arxiv.2306.06145
    Preprints | 2023
    Jafri FA; Siddiqui MA; Thapa S; Rauniyar K; Naseem U; Razzak I, 2023, Uncovering Political Hate Speech During Indian Election Campaign: A New Low-Resource Dataset and Baselines, , http://dx.doi.org/10.48550/arxiv.2306.14764
    Conference Papers | 2023
    Khan TM; Arsalan M; Iqbal S; Razzak I; Meijering E, 2023, 'Feature Enhancer Segmentation Network (FES-Net)for Vessel Segmentation', in 2023 International Conference on Digital Image Computing: Techniques and Applications (DICTA), IEEE, presented at 2023 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 28 November 2023 - 01 December 2023, http://dx.doi.org/10.1109/dicta60407.2023.00030
    Preprints | 2023
    Khan TM; Arsalan M; Iqbal S; Razzak I; Meijering E, 2023, Feature Enhancer Segmentation Network (FES-Net) for Vessel Segmentation, , http://dx.doi.org/10.48550/arxiv.2309.03535
    Preprints | 2023
    Khan TM; Naqvi SS; Robles-Kelly A; Razzak I, 2023, Retinal Vessel Segmentation via a Multi-resolution Contextual Network and Adversarial Learning, , http://dx.doi.org/10.48550/arxiv.2304.12856
    Conference Papers | 2023
    Masood A; Naseem U; Razzak I, 2023, 'Multi-Scale Swin Transformer Enabled Automatic Detection and Segmentation of Lung Metastases Using CT Images', in Proceedings - International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI53787.2023.10230663
    Preprints | 2023
    Naveed A; Naqvi SS; Khan TM; Razzak I, 2023, Progressive Class-Wise Attention (PCA) Approach for Diagnosing Skin Lesions, , http://dx.doi.org/10.48550/arxiv.2306.07300
    Conference Papers | 2023
    Qayyum A; Mazher M; Razzak I; Niederer S, 2023, 'Multiscale Kernel Atrous Convolution Network for Segmentation of Myocardium', in 2023 International Conference on Digital Image Computing: Techniques and Applications (DICTA), IEEE, presented at 2023 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 28 November 2023 - 01 December 2023, http://dx.doi.org/10.1109/dicta60407.2023.00011
    Preprints | 2023
    de Vente C; Vermeer KA; Jaccard N; Wang H; Sun H; Khader F; Truhn D; Aimyshev T; Zhanibekuly Y; Le T-D; Galdran A; Ballester MÁG; Carneiro G; G DR; S HP; Puthussery D; Liu H; Yang Z; Kondo S; Kasai S; Wang E; Durvasula A; Heras J; Zapata MÁ; Araújo T; Aresta G; Bogunović H; Arikan M; Lee YC; Cho HB; Choi YH; Qayyum A; Razzak I; van Ginneken B; Lemij HG; Sánchez CI, 2023, AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge, , http://dx.doi.org/10.48550/arxiv.2302.01738
    Conference Papers | 2022
    Boone-Sifuentes T; Bouadjenek MR; Razzak I; Hacid H; Nazari A, 2022, 'A Mask-based Output Layer for Multi-level Hierarchical Classification', in International Conference on Information and Knowledge Management, Proceedings, pp. 3833 - 3837, http://dx.doi.org/10.1145/3511808.3557534
    Conference Papers | 2022
    Boone-Sifuentes T; Nazari A; Razzak I; Bouadjenek MR; Robles-Kelly A; Ierodiaconou D; Oh ES, 2022, 'Marine-tree: A Large-scale Marine Organisms Dataset for Hierarchical Image Classification', in International Conference on Information and Knowledge Management, Proceedings, pp. 3838 - 3842, http://dx.doi.org/10.1145/3511808.3557634
    Conference Papers | 2022
    Huynh ND; Bouadjenek MR; Hassani A; Razzak I; Lee K; Arora C; Zaslavsky A, 2022, 'Jarvis: A Voice-based Context-as-a-Service Mobile Tool for a Smart Home Environment', in Proceedings - IEEE International Conference on Mobile Data Management, pp. 318 - 321, http://dx.doi.org/10.1109/MDM55031.2022.00070
    Preprints | 2022
    Huynh ND; Bouadjenek MR; Razzak I; Lee K; Arora C; Hassani A; Zaslavsky A, 2022, Adversarial Attacks on Speech Recognition Systems for Mission-Critical Applications: A Survey, , http://dx.doi.org/10.48550/arxiv.2202.10594
    Preprints | 2022
    Katende B; Bresser M; Kamele M; Chere L; Tlahali M; Erhardt RM; Muhairwe J; Ayakaka I; Glass TR; Ruhwald M; van Ginneken B; Murphy K; de Vos M; Amstutz A; Mareka M; Mooko SM; Labhardt ND; Reither K; González Fernández L, 2022, Impact of a multi-disease integrated screening and diagnostic model for COVID-19, TB, and HIV in Lesotho, , http://dx.doi.org/10.1101/2022.12.20.22283748
    Conference Papers | 2022
    Khan PI; Razzak I; Dengel A; Ahmed S, 2022, 'A Novel Approach to Train Diverse Types of Language Models for Health Mention Classification of Tweets', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 136 - 147, http://dx.doi.org/10.1007/978-3-031-15931-2_12
    Preprints | 2022
    Khan PI; Razzak I; Dengel A; Ahmed S, 2022, A Novel Approach to Train Diverse Types of Language Models for Health Mention Classification of Tweets, , http://dx.doi.org/10.48550/arxiv.2204.06337
    Preprints | 2022
    Khan PI; Siddiqui SA; Razzak I; Dengel A; Ahmed S, 2022, Improving Health Mentioning Classification of Tweets using Contrastive Adversarial Training, , http://dx.doi.org/10.48550/arxiv.2203.01895
    Preprints | 2022
    Qayyum A; Razzak I; Mazher M; Puig D, 2022, Late-Ensemble of Convolutional Neural Networks with Test Time Augmentation for Chest XR COVID-19 Detection, , http://dx.doi.org/10.1101/2022.02.25.22271520
    Conference Papers | 2022
    Thapa S; Shah A; Jafri FA; Naseem U; Razzak I, 2022, 'A Multi-Modal Dataset for Hate Speech Detection on Social Media: Case-study of Russia-Ukraine Conflict', in CASE 2022 - 5th Workshop on Challenges and Applications of Automated Extraction of Socio-Political Events from Text, Proceedings of the Workshop, pp. 1 - 6
    Conference Papers | 2021
    Aryal S; Baniya AA; Razzak I; Santosh KC, 2021, 'SPAD+: An Improved Probabilistic Anomaly Detector based on One-dimensional Histograms', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN52387.2021.9534162
    Conference Papers | 2021
    Dipongkor AK; Islam MS; Kayesh H; Hossain MS; Anwar A; Rahman KA; Razzak I, 2021, 'DAAB: Deep Authorship Attribution in Bengali', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN52387.2021.9533619
    Preprints | 2021
    Ghodhbani H; Alimi A; Neji M; Razzak I, 2021, You can Try without Visiting: A Comprehensive Survey on Virtually Try-on Outfits, , http://dx.doi.org/10.36227/techrxiv.13904099
    Conference Papers | 2021
    Islam MR; Razzak I; Wang X; Tilocca P; Xu G, 2021, 'UCBVis: Understanding Customer Behavior Sequences with Visual Interactive System', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN52387.2021.9533354
    Conference Papers | 2021
    Islam MR; Zhang J; Ashmafee MH; Razzak I; Zhou J; Wang X; Xu G, 2021, 'ExVis: Explainable Visual Decision Support System for Risk Management', in Proceedings of 2021 8th IEEE International Conference on Behavioural and Social Computing, BESC 2021, http://dx.doi.org/10.1109/BESC53957.2021.9635491
    Preprints | 2021
    Javed AR; Zikria YB; Rehman SU; Shahzad F; Jalil Z, 2021, Future Smart Cities: Requirements, Emerging Technologies, Applications, Challenges, and Future Aspects, , http://dx.doi.org/10.36227/techrxiv.14722854
    Conference Papers | 2021
    Jawad I; Ahmed J; Razzak I; Doss R, 2021, 'Identifying DNS Exfiltration based on Lexical Attributes of Query Name', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN52387.2021.9534276
    Conference Papers | 2021
    Kausar A; Razzak I; Shapiai I; Alshammari R, 2021, 'An Improved Dense V-Network for Fast and Precise Segmentation of Left Atrium', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN52387.2021.9534418
    Preprints | 2021
    Khan PI; Razzak I; Dengel A; Ahmed S, 2021, Understanding Information Spreading Mechanisms During COVID-19 Pandemic by Analyzing the Impact of Tweet Text and User Features for Retweet Prediction, , http://dx.doi.org/10.48550/arxiv.2106.07344
    Conference Papers | 2021
    Naseem U; Khushi M; Reddy V; Rajendran S; Razzak I; Kim J, 2021, 'BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN52387.2021.9533884
    Conference Papers | 2021
    Rashid AH; Razzak I; Tanveer M; Robles-Kelly A, 2021, 'RipDet: A Fast and Lightweight Deep Neural Network for Rip Currents Detection', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN52387.2021.9533849
    Conference Papers | 2021
    Saadatmand M; Rauf A; Anwar S; Ramzan M; Razzak I, 2021, 'Message from the NLP-SEA 2021 Chairs', in Proceedings - 2021 36th IEEE/ACM International Conference on Automated Software Engineering Workshops, ASEW 2021, pp. XXIII, http://dx.doi.org/10.1109/ASEW52652.2021.00012
    Preprints | 2021
    Zhao T; Song X; Li J; Luo W; Razzak I, 2021, Distributed Optimization of Graph Convolutional Network using Subgraph Variance, , http://dx.doi.org/10.48550/arxiv.2110.02987
    Conference Papers | 2021
    Zogan H; Razzak I; Jameel S; Xu G, 2021, 'DepressionNet: Learning Multi-modalities with User Post Summarization for Depression Detection on Social Media', in SIGIR 2021 - Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 133 - 142, http://dx.doi.org/10.1145/3404835.3462938
    Preprints | 2021
    Zogan H; Razzak I; Jameel S; Xu G, 2021, DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media, , http://dx.doi.org/10.48550/arxiv.2105.10878
    Conference Papers | 2020
    Ahmed SB; Naz S; Razzak I; Prasad M, 2020, 'Unconstrained Arabic Scene Text Analysis using Concurrent Invariant Points', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207283
    Conference Papers | 2020
    Alnefaie A; Gupta D; Bhuyan MH; Razzak I; Gupta P; Prasad M, 2020, 'End-to-End Analysis for Text Detection and Recognition in Natural Scene Images', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207001
    Conference Papers | 2020
    Islam MR; Liu S; Razzak I; Kabir MA; Wang X; Tilocca P; Xu G, 2020, 'MHIVis: Visual Analytics for Exploring Mental Illness of Policyholders in Life Insurance Industry', in Proceedings of 2020 7th IEEE International Conference on Behavioural and Social Computing, BESC 2020, http://dx.doi.org/10.1109/BESC51023.2020.9348301
    Preprints | 2020
    Naseem U; Khushi M; Reddy V; Rajendran S; Razzak I; Kim J, 2020, BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition, , http://dx.doi.org/10.48550/arxiv.2009.09223
    Preprints | 2020
    Naseem U; Khushi M; Reddy V; Rajendran S; Razzak I; Kim J, 2020, BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition, , http://dx.doi.org/10.21203/rs.3.rs-90025/v1
    Conference Papers | 2020
    Naseem U; Razzak I; Eklund P; Musial K, 2020, 'Towards Improved Deep Contextual Embedding for the identification of Irony and Sarcasm', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207237
    Preprints | 2020
    Naseem U; Razzak I; Khan SK; Prasad M, 2020, A Comprehensive Survey on Word Representation Models: From Classical to State-Of-The-Art Word Representation Language Models, , http://dx.doi.org/10.48550/arxiv.2010.15036
    Preprints | 2020
    Nguyen TT; Nguyen QVH; Nguyen DT; Yang S; Eklund PW; Huynh-The T; Nguyen TT; Pham Q-V; Razzak I; Hsu EB, 2020, Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions, , http://dx.doi.org/10.48550/arxiv.2008.07343
    Preprints | 2020
    Nguyen TT, 2020, Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions, , http://dx.doi.org/10.36227/techrxiv.12743933
    Conference Papers | 2020
    Razzak I; Kamran I; Naz S, 2020, 'Deep Analysis of Handwritten Notes for Early Diagnosis of Neurological Disorders', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207087
    Conference Papers | 2020
    Razzak I; Khan TM, 2020, 'One-Class Support Tensor Machines with Bounded Hinge Loss Function for Anomaly Detection', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207429
    Conference Papers | 2020
    Razzak I; Shoukat G; Naz S; Khan TM, 2020, 'Skin Lesion Analysis Toward Accurate Detection of Melanoma using Multistage Fully Connected Residual Network', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9206881
    Conference Papers | 2020
    Razzak I, 2020, 'Cooperative Evolution Multiclass Support Matrix Machines', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207164
    Preprints | 2020
    Rehman A; Naz S; Khan A; Zaib A; Razzak I, 2020, Improving Coronavirus (COVID-19) Diagnosis using Deep Transfer Learning, , http://dx.doi.org/10.1101/2020.04.11.20054643
    Preprints | 2020
    Rehman A; Naz S; Razzak I, 2020, Leveraging Big Data Analytics in Healthcare Enhancement: Trends, Challenges and Opportunities, , http://dx.doi.org/10.48550/arxiv.2004.09010
    Conference Papers | 2020
    Riaz SA; Naz S; Razzak I, 2020, 'Multipath Deep Shallow Convolutional Networks for Large Scale Plant Species Identification in Wild Image', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207113
    Preprints | 2020
    Zogan H; Razzak I; Wang X; Jameel S; Xu G, 2020, Explainable Depression Detection with Multi-Modalities Using a Hybrid Deep Learning Model on Social Media, , http://dx.doi.org/10.48550/arxiv.2007.02847
    Conference Papers | 2019
    Naseem U; Khan SK; Razzak I; Hameed IA, 2019, 'Hybrid Words Representation for Airlines Sentiment Analysis', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 381 - 392, http://dx.doi.org/10.1007/978-3-030-35288-2_31
    Conference Papers | 2018
    Ahmed SB; Naz S; Razzak MI; Yusof R, 2018, 'Cursive scene text analysis by deep convolutional linear pyramids', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 307 - 318, http://dx.doi.org/10.1007/978-3-030-04167-0_28
    Conference Papers | 2018
    Razzak MI; Saris RA; Blumenstein M; Xu G, 2018, 'Robust 2D Joint Sparse Principal Component Analysis with F-Norm Minimization for Sparse Modelling: 2D-RJSPCA', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN.2018.8489541
    Conference Papers | 2018
    Saeed Z; Abbasi RA; Sadaf A; Razzak MI; Xu G, 2018, 'Text stream to temporal network - A dynamic heartbeat graph to detect emerging events on twitter', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 534 - 545, http://dx.doi.org/10.1007/978-3-319-93037-4_42
    Preprints | 2017
    Ahmed SB; Naz S; Swati S; Razzak MI, 2017, Handwritten Urdu Character Recognition using 1-Dimensional BLSTM Classifier, , http://arxiv.org/abs/1705.05455v1
    Conference Papers | 2017
    Bin Ahmed S; Naz S; Razzak MI; Yousaf R, 2017, 'Deep Learning based Isolated Arabic Scene Character Recognition', in 2017 1ST INTERNATIONAL WORKSHOP ON ARABIC SCRIPT ANALYSIS AND RECOGNITION (ASAR), IEEE, FRANCE, Nancy, pp. 46 - 51, presented at 1st IEEE International Workshop on Arabic Script Analysis and Recognition (ASAR), FRANCE, Nancy, 03 April 2017 - 05 April 2017, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000426941500010&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
    Preprints | 2017
    Razzak MI; Naz S; Zaib A, 2017, Deep Learning for Medical Image Processing: Overview, Challenges and Future, , http://arxiv.org/abs/1704.06825v1
    Conference Papers | 2017
    Razzak MI; Naz S, 2017, 'Microscopic Blood Smear Segmentation and Classification Using Deep Contour Aware CNN and Extreme Machine Learning', in IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp. 801 - 807, http://dx.doi.org/10.1109/CVPRW.2017.111
    Conference Papers | 2016
    Ahmed SB; Naz S; Razzak MI; Yusof R; Breuel TM, 2016, 'Balinese character recognition using bidirectional LSTM classifier', in Lecture Notes in Electrical Engineering, pp. 201 - 211, http://dx.doi.org/10.1007/978-3-319-32213-1_18
    Conference Papers | 2016
    Ahmed SB; Razzak MI; Alhaqbani B, 2016, 'The minutiae based latent fingerprint recognition system', in ACM International Conference Proceeding Series, http://dx.doi.org/10.1145/2896387.2896434
    Conference Papers | 2016
    Naz S; Ahmed SB; Ahmad R; Razzak MI, 2016, 'Zoning Features and 2DLSTM for Urdu Text-line Recognition', in Procedia Computer Science, pp. 16 - 22, http://dx.doi.org/10.1016/j.procs.2016.08.084
    Conference Papers | 2016
    Waqialla M; Razzak MI, 2016, 'An Ontology-based Framework Aiming to Support Cardiac Rehabilitation Program', in Procedia Computer Science, pp. 23 - 32, http://dx.doi.org/10.1016/j.procs.2016.08.087
    Conference Papers | 2015
    Naz S; Ahmed S; Ahmad R; Razza M, 2015, 'Arabic Script based Digit Recognition Systems', in Proceedings of the 2015 International Conference on Recent Advances in Computer Systems, Atlantis Press, presented at International Conference on Recent Advances in Computer Systems, 30 November 2015 - 01 December 2015, http://dx.doi.org/10.2991/racs-15.2016.11
    Conference Papers | 2015
    Shirazi SH; Umar AI; Ul Haq N; Naz S; Razzak MI, 2015, 'Accurate microscopic red blood cell image enhancement and segmentation', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 183 - 192, http://dx.doi.org/10.1007/978-3-319-16483-0_18
    Conference Papers | 2015
    Waqialla M; Alshammari R; Razzak MI, 2015, 'An ontology for remote monitoring of cardiac implantable electronic devices', in I4CT 2015 - 2015 2nd International Conference on Computer, Communications, and Control Technology, Art Proceeding, pp. 520 - 523, http://dx.doi.org/10.1109/I4CT.2015.7219633
    Conference Papers | 2014
    Naz S; Umar AI; Ahmed SB; Shirazi SH; Razzak MI; Siddiqi I, 2014, 'An Ocr system for printed Nasta'liq script: A segmentation based approach', in 17th IEEE International Multi Topic Conference: Collaborative and Sustainable Development of Technologies, IEEE INMIC 2014 - Proceedings, pp. 255 - 259, http://dx.doi.org/10.1109/INMIC.2014.7097347
    Conference Papers | 2013
    Naz S; Hayat K; Anwar MW; Akbar H; Razzak MI, 2013, 'Challenges in baseline detection of cursive script languages', in Proceedings of 2013 Science and Information Conference, SAI 2013, pp. 551 - 556
    Conference Papers | 2013
    Naz S; Hayat K; Razzak MI; Anwar MW; Akbar H, 2013, 'Arabic script based character segmentation: A review', in 2013 World Congress on Computer and Information Technology, WCCIT 2013, http://dx.doi.org/10.1109/WCCIT.2013.6618741
    Conference Papers | 2013
    Naz S; Hayat K; Razzak MI; Anwar MW; Akbar H, 2013, 'Arabic script based language character recognition: Nasta'liq vs Naskh analysis', in 2013 World Congress on Computer and Information Technology, WCCIT 2013, http://dx.doi.org/10.1109/WCCIT.2013.6618740
    Conference Papers | 2011
    Khalil MS; Khan MK; Razzak MI, 2011, 'Co-occurrence matrix features for fingerprint verification', in ASID 2011 - Proceedings: 2011 IEEE International Conference on Anti-Counterfeiting, Security and Identification, pp. 43 - 46, http://dx.doi.org/10.1109/ASID.2011.5967412
    Conference Papers | 2010
    Mendrik A; Vonken E-J; Dankbaar J-W; Prokop M; van Ginneken B, 2010, 'Noise filtering in thin-slice 4D cerebral CT perfusion scans', in Dawant BM; Haynor DR (ed.), SPIE Proceedings, SPIE, presented at SPIE Medical Imaging, http://dx.doi.org/10.1117/12.843813
    Conference Papers | 2010
    Razzak MI; Khan MK; Alghathbar K; Yousaf R, 2010, 'Face recognition using layered linear discriminant analysis and small subspace', in Proceedings - 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, ScalCom-2010, pp. 1407 - 1412, http://dx.doi.org/10.1109/CIT.2010.252
    Conference Papers | 2010
    Razzak MI; Khan MK; Alghathbar K, 2010, 'Bio-inspired hybrid face recognition system for small sample size and large dataset', in Proceedings - 2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010, pp. 384 - 388, http://dx.doi.org/10.1109/IIHMSP.2010.99
    Conference Papers | 2010
    Razzak MI; Khan MK; Alghathbar K, 2010, 'Contactless biometrics in wireless sensor network: A survey', in Communications in Computer and Information Science, pp. 236 - 243, http://dx.doi.org/10.1007/978-3-642-17610-4_27
    Conference Papers | 2009
    Khan ZS; Sher M; Rashid K; Razzak I, 2009, 'Towards Security and Enrichment of the IP Multimedia Subsystem Based Multiparty Conference', in Castillo O; Douglas C; Feng DD; Lee JA (eds.), IMECS 2009: INTERNATIONAL MULTI-CONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, VOLS I AND II, INT ASSOC ENGINEERS-IAENG, PEOPLES R CHINA, Kowloon, pp. 368 - +, presented at International Multi-Conference of Engineers and Computer Scientists, PEOPLES R CHINA, Kowloon, 18 March 2009 - 20 March 2009, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000266097200072&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
    Conference Papers | 2009
    Razzak MI; Hussain SA; Sher M, 2009, 'Numeral recognition for Urdu script in unconstrained environment', in 2009 International Conference on Emerging Technologies, ICET 2009, pp. 44 - 47, http://dx.doi.org/10.1109/ICET.2009.5353203

  • LP220200780    A smartphone rip-detection tool to improve rip current awareness, 343K
  • AI-driven medical technologies, Next Generation AI and Emerging Technologies Graduates Program, 1.7million

Imran is currently involved in multiple research projects with internal and external collaborators on Machine Learning, Computer Vision and Natural Language Processing. You may find more details @clickhere

My Research Supervision

  • Syed Javeed- UNSW (2023-2025)
  • Abdullah Mohammed Alsuhaibani-UTS (2022-2024)
  • Mohammad-UTS (2022-2025)
  • Tanya Boone Sifuentes-Deakin (2019-2023)
  • Ngoc Dung Huynh-Deakin (2022-2025)

 

 

My Teaching