Professor Erik Meijering

Professor Erik Meijering

Professor
Engineering
Computer Science and Engineering

Erik Meijering is a Professor of Biomedical Image Computing in the School of Computer Science and Engineering. His research focuses on the development of innovative computer vision and machine learning (in particular deep learning) methods for automated quantitative analysis of biomedical imaging data.

He received the MSc degree in Electrical Engineering from Delft University of Technology (Delft, the Netherlands) in 1996 and the PhD degree in Medical Image Analysis from Utrecht University (Utrecht, the Netherlands) in 2000. Before coming to the University of New South Wales (UNSW, Sydney, Australia) in 2019, he was a Postdoctoral Fellow at the Swiss Federal Institute of Technology (Lausanne, Switzerland) from 2000-2002, an Assistant Professor at Erasmus University Medical Center (Rotterdam, the Netherlands) from 2002-2008, and an Associate Professor at the same institute from 2008-2019.

Since 2019 he is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE). Within IEEE he is a member of the Signal Processing Society (SPS) and the Engineering in Medicine and Biology Society (EMBS), and served/serves on the SPS Technical Committee on Bio Imaging and Signal Processing (BISP) (2005-2010 and 2017-2020), the SPS Technical Directions Board (2018-2019), the EMBS Technical Committee on Biomedical Imaging and Image Processing (BIIP) (since 2007), and the cross-Society IEEE Life Sciences Technical Community (LSTC) (since 2018).

Over the years he was/is an Associate Editor for the IEEE Transactions on Medical Imaging (since 2004), the International Journal on Biomedical Imaging (2006-2009), the IEEE Transactions on Image Processing (2008-2011), has co-edited various journal special issues on topics related to biomedical imaging, and has co-organized various conferences in the field, notably the IEEE International Symposium on Biomedical Imaging (ISBI 2002, 2004, 2006, 2010, 2015, 2018). He also served/serves on a great variety of other international conference, advisory, and review boards.

Phone
+61 2 9065 2040
Location
Online or K17 Room 412D
  • Book Chapters | 2024
    Liu M; Lin Z; Chen W; Meijering E; Wang Y, 2024, 'DNeuroMAT: A Deep-Learning-Based Neuron Morphology Analysis Toolbox', in Methods in Molecular Biology, pp. 179 - 197, http://dx.doi.org/10.1007/978-1-0716-3969-6_12
    Book Chapters | 2023
    Khan TM; Naqvi SS; Robles-Kelly A; Meijering E, 2023, 'Neural Network Compression by Joint Sparsity Promotion and Redundancy Reduction', in , pp. 612 - 623, http://dx.doi.org/10.1007/978-3-031-30105-6_51
    Book Chapters | 2023
    Zhu J; Bolsterlee B; Chow BVY; Song Y; Meijering E, 2023, 'Uncertainty and Shape-Aware Continual Test-Time Adaptation for Cross-Domain Segmentation of Medical Images', in , pp. 659 - 669, http://dx.doi.org/10.1007/978-3-031-43898-1_63
    Book Chapters | 2022
    Meijering E; Smal I; Dzyubachyk O; Olivo-Marin JC, 2022, 'Motion Tracking and Analysis', in Microscope Image Processing, Second Edition, pp. 393 - 430, http://dx.doi.org/10.1016/B978-0-12-821049-9.00013-7
    Book Chapters | 2021
    Hu Y; Meijering E; Xia Y; Song Y, 2021, 'Deformable Convolution and Semi-supervised Learning in Point Clouds for Aneurysm Classification and Segmentation', in Neural Information Processing, pp. 283 - 290, http://dx.doi.org/10.1007/978-3-030-92310-5_33
    Book Chapters | 2021
    Wei W; Haidinger S; Lock J; Meijering E, 2021, 'Deep Representation Learning for Image-Based Cell Profiling', in Machine Learning in Medical Imaging, pp. 487 - 497, http://dx.doi.org/10.1007/978-3-030-87589-3_50
    Book Chapters | 2017
    Yao Y; Smal I; Grigoriev I; Martin M; Akhmanova A; Meijering E, 2017, 'Automated analysis of intracellular dynamic processes', in Methods in Molecular Biology, pp. 209 - 228, http://dx.doi.org/10.1007/978-1-4939-6810-7_14
    Book Chapters | 2012
    Meijering E; Dzyubachyk O; Smal I, 2012, 'Methods for cell and particle tracking', in Methods in Enzymology, pp. 183 - 200, http://dx.doi.org/10.1016/B978-0-12-391857-4.00009-4
    Book Chapters | 2008
    Meijering E; Smal I; Dzyubachyk O; Olivo-Marin JC, 2008, 'Time-Lapse Imaging', in Microscope Image Processing, pp. 401 - 440, http://dx.doi.org/10.1016/B978-0-12-372578-3.00015-5
    Book Chapters | 2008
    Meijering E; Smal I; Dzyubachyk O; Olivo‐Marin J, 2008, 'Chapter 15 Time‐Lapse Imaging', in Microscope Image Processing, Elsevier, pp. 401 - 440, http://dx.doi.org/10.1016/b978-0-12-372578-3.00015-5
  • Journal articles | 2025
    Iqbal S; Khan TM; Naqvi SS; Naveed A; Meijering E, 2025, 'TBConvL-Net: A hybrid deep learning architecture for robust medical image segmentation', Pattern Recognition, 158, http://dx.doi.org/10.1016/j.patcog.2024.111028
    Journal articles | 2024
    Du H; Wang J; Liu M; Wang Y; Meijering E, 2024, 'SwinPA-Net: Swin Transformer-Based Multiscale Feature Pyramid Aggregation Network for Medical Image Segmentation', IEEE Transactions on Neural Networks and Learning Systems, 35, pp. 5355 - 5366, http://dx.doi.org/10.1109/TNNLS.2022.3204090
    Journal articles | 2024
    Hasan MM; Phu J; Sowmya A; Meijering E; Kalloniatis M, 2024, 'Artificial intelligence in the diagnosis of glaucoma and neurodegenerative diseases', Clinical and Experimental Optometry, 107, pp. 130 - 146, http://dx.doi.org/10.1080/08164622.2023.2235346
    Journal articles | 2024
    Khan TM; Naqvi SS; Meijering E, 2024, 'ESDMR-Net: A lightweight network with expand-squeeze and dual multiscale residual connections for medical image segmentation', Engineering Applications of Artificial Intelligence, 133, http://dx.doi.org/10.1016/j.engappai.2024.107995
    Journal articles | 2024
    Liu M; Han Y; Wang J; Wang C; Wang Y; Meijering E, 2024, 'LSKANet: Long Strip Kernel Attention Network for Robotic Surgical Scene Segmentation', IEEE Transactions on Medical Imaging, 43, pp. 1308 - 1322, http://dx.doi.org/10.1109/TMI.2023.3335406
    Journal articles | 2024
    Liu M; Wu S; Chen R; Lin Z; Wang Y; Meijering E, 2024, 'Brain Image Segmentation for Ultrascale Neuron Reconstruction via an Adaptive Dual-Task Learning Network', IEEE Transactions on Medical Imaging, 43, pp. 2574 - 2586, http://dx.doi.org/10.1109/TMI.2024.3367384
    Journal articles | 2024
    Maier-Hein L; Reinke A; Godau P; Tizabi MD; Buettner F; Christodoulou E; Glocker B; Isensee F; Kleesiek J; Kozubek M; Reyes M; Riegler MA; Wiesenfarth M; Kavur AE; Sudre CH; Baumgartner M; Eisenmann M; Heckmann-Nötzel D; Rädsch T; Acion L; Antonelli M; Arbel T; Bakas S; Benis A; Blaschko MB; Cardoso MJ; Cheplygina V; Cimini BA; Collins GS; Farahani K; Ferrer L; Galdran A; van Ginneken B; Haase R; Hashimoto DA; Hoffman MM; Huisman M; Jannin P; Kahn CE; Kainmueller D; Kainz B; Karargyris A; Karthikesalingam A; Kofler F; Kopp-Schneider A; Kreshuk A; Kurc T; Landman BA; Litjens G; Madani A; Maier-Hein K; Martel AL; Mattson P; Meijering E; Menze B; Moons KGM; Müller H; Nichyporuk B; Nickel F; Petersen J; Rajpoot N; Rieke N; Saez-Rodriguez J; Sánchez CI; Shetty S; van Smeden M; Summers RM; Taha AA; Tiulpin A; Tsaftaris SA; Van Calster B; Varoquaux G; Jäger PF, 2024, 'Metrics reloaded: recommendations for image analysis validation', Nature Methods, 21, pp. 195 - 212, http://dx.doi.org/10.1038/s41592-023-02151-z
    Journal articles | 2024
    Manubens-Gil L; Zhou Z; Chen H; Ramanathan A; Liu X; Liu Y; Bria A; Gillette T; Ruan Z; Yang J; Radojević M; Zhao T; Cheng L; Qu L; Liu S; Bouchard KE; Gu L; Cai W; Ji S; Roysam B; Wang CW; Yu H; Sironi A; Iascone DM; Zhou J; Bas E; Conde-Sousa E; Aguiar P; Li X; Li Y; Nanda S; Wang Y; Muresan L; Fua P; Ye B; He HY; Staiger JF; Peter M; Cox DN; Simonneau M; Oberlaender M; Jefferis G; Ito K; Gonzalez-Bellido P; Kim J; Rubel E; Cline HT; Zeng H; Nern A; Chiang AS; Yao J; Roskams J; Livesey R; Stevens J; Liu T; Dang C; Guo Y; Zhong N; Tourassi G; Hill S; Hawrylycz M; Koch C; Meijering E; Ascoli GA; Peng H, 2024, 'Correction to: BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets (Nature Methods, (2023), 20, 6, (824-835), 10.1038/s41592-023-01848-5)', Nature Methods, http://dx.doi.org/10.1038/s41592-024-02395-3
    Journal articles | 2024
    Mondol RK; Millar EKA; Sowmya A; Meijering E, 2024, 'BioFusionNet: Deep Learning-Based Survival Risk Stratification in ER+ Breast Cancer Through Multifeature and Multimodal Data Fusion', IEEE Journal of Biomedical and Health Informatics, http://dx.doi.org/10.1109/JBHI.2024.3418341
    Journal articles | 2024
    Reinke A; Tizabi MD; Baumgartner M; Eisenmann M; Heckmann-Nötzel D; Kavur AE; Rädsch T; Sudre CH; Acion L; Antonelli M; Arbel T; Bakas S; Benis A; Buettner F; Cardoso MJ; Cheplygina V; Chen J; Christodoulou E; Cimini BA; Farahani K; Ferrer L; Galdran A; van Ginneken B; Glocker B; Godau P; Hashimoto DA; Hoffman MM; Huisman M; Isensee F; Jannin P; Kahn CE; Kainmueller D; Kainz B; Karargyris A; Kleesiek J; Kofler F; Kooi T; Kopp-Schneider A; Kozubek M; Kreshuk A; Kurc T; Landman BA; Litjens G; Madani A; Maier-Hein K; Martel AL; Meijering E; Menze B; Moons KGM; Müller H; Nichyporuk B; Nickel F; Petersen J; Rafelski SM; Rajpoot N; Reyes M; Riegler MA; Rieke N; Saez-Rodriguez J; Sánchez CI; Shetty S; Summers RM; Taha AA; Tiulpin A; Tsaftaris SA; Van Calster B; Varoquaux G; Yaniv ZR; Jäger PF; Maier-Hein L, 2024, 'Understanding metric-related pitfalls in image analysis validation', Nature Methods, 21, pp. 182 - 194, http://dx.doi.org/10.1038/s41592-023-02150-0
    Journal articles | 2024
    Tchetchenian A; Zekelman L; Chen Y; Rushmore J; Zhang F; Yeterian EH; Makris N; Rathi Y; Meijering E; Song Y; O'Donnell LJ, 2024, 'Deep multimodal saliency parcellation of cerebellar pathways: Linking microstructure and individual function through explainable multitask learning', Human Brain Mapping, 45, http://dx.doi.org/10.1002/hbm.70008
    Journal articles | 2024
    Zhu J; Bolsterlee B; Chow BVY; Song Y; Meijering E, 2024, 'Hybrid dual mean-teacher network with double-uncertainty guidance for semi-supervised segmentation of magnetic resonance images', Computerized Medical Imaging and Graphics, 115, http://dx.doi.org/10.1016/j.compmedimag.2024.102383
    Journal articles | 2023
    Aviyente S; Frangi AF; Meijering E; Munoz-Barrutia A; Liebling M; Van De Ville D; Olivo-Marin JC; Kovacevic J; Unser M, 2023, 'From Nano to Macro: An overview of the IEEE Bio Image and Signal Processing Technical Committee', IEEE Signal Processing Magazine, 40, pp. 61 - 71, http://dx.doi.org/10.1109/MSP.2023.3242833
    Journal articles | 2023
    Chen R; Liu M; Chen W; Wang Y; Meijering E, 2023, 'Deep learning in mesoscale brain image analysis: A review', Computers in Biology and Medicine, 167, http://dx.doi.org/10.1016/j.compbiomed.2023.107617
    Journal articles | 2023
    Fan L; Sowmya A; Meijering E; Song Y, 2023, 'Cancer Survival Prediction From Whole Slide Images With Self-Supervised Learning and Slide Consistency', IEEE Transactions on Medical Imaging, 42, pp. 1401 - 1412, http://dx.doi.org/10.1109/TMI.2022.3228275
    Journal articles | 2023
    Gunawan I; Vafaee F; Meijering E; Lock JG, 2023, 'An introduction to representation learning for single-cell data analysis', Cell Reports Methods, 3, http://dx.doi.org/10.1016/j.crmeth.2023.100547
    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
    Manubens-Gil L; Zhou Z; Chen H; Ramanathan A; Liu X; Liu Y; Bria A; Gillette T; Ruan Z; Yang J; Radojević M; Zhao T; Cheng L; Qu L; Liu S; Bouchard KE; Gu L; Cai W; Ji S; Roysam B; Wang CW; Yu H; Sironi A; Iascone DM; Zhou J; Bas E; Conde-Sousa E; Aguiar P; Li X; Li Y; Nanda S; Wang Y; Muresan L; Fua P; Ye B; He HY; Staiger JF; Peter M; Cox DN; Simonneau M; Oberlaender M; Jefferis G; Ito K; Gonzalez-Bellido P; Kim J; Rubel E; Cline HT; Zeng H; Nern A; Chiang AS; Yao J; Roskams J; Livesey R; Stevens J; Liu T; Dang C; Guo Y; Zhong N; Tourassi G; Hill S; Hawrylycz M; Koch C; Meijering E; Ascoli GA; Peng H, 2023, 'BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets', Nature Methods, 20, pp. 824 - 835, http://dx.doi.org/10.1038/s41592-023-01848-5
    Journal articles | 2023
    Maška M; Ulman V; Delgado-Rodriguez P; Gómez-de-Mariscal E; Nečasová T; Guerrero Peña FA; Ren TI; Meyerowitz EM; Scherr T; Löffler K; Mikut R; Guo T; Wang Y; Allebach JP; Bao R; Al-Shakarji NM; Rahmon G; Toubal IE; Palaniappan K; Lux F; Matula P; Sugawara K; Magnusson KEG; Aho L; Cohen AR; Arbelle A; Ben-Haim T; Raviv TR; Isensee F; Jäger PF; Maier-Hein KH; Zhu Y; Ederra C; Urbiola A; Meijering E; Cunha A; Muñoz-Barrutia A; Kozubek M; Ortiz-de-Solórzano C, 2023, 'The Cell Tracking Challenge: 10 years of objective benchmarking', Nature Methods, 20, pp. 1010 - 1020, http://dx.doi.org/10.1038/s41592-023-01879-y
    Journal articles | 2023
    Mondol RK; Millar EKA; Graham PH; Browne L; Sowmya A; Meijering E, 2023, 'hist2RNA: An Efficient Deep Learning Architecture to Predict Gene Expression from Breast Cancer Histopathology Images', Cancers, 15, pp. 2569, http://dx.doi.org/10.3390/cancers15092569
    Journal articles | 2023
    Rahaman MM; Millar EKA; Meijering E, 2023, 'Breast cancer histopathology image-based gene expression prediction using spatial transcriptomics data and deep learning', Scientific Reports, 13, pp. 13604, http://dx.doi.org/10.1038/s41598-023-40219-0
    Journal articles | 2023
    Rana P; Sowmya A; Meijering E; Song Y, 2023, 'Imbalanced classification for protein subcellular localization with multilabel oversampling', Bioinformatics, 39, http://dx.doi.org/10.1093/bioinformatics/btac841
    Journal articles | 2023
    Shen W; Wang Y; Liu M; Wang J; Ding R; Zhang Z; Meijering E, 2023, 'Branch Aggregation Attention Network for Robotic Surgical Instrument Segmentation', IEEE Transactions on Medical Imaging, 42, pp. 3408 - 3419, http://dx.doi.org/10.1109/TMI.2023.3288127
    Journal articles | 2023
    Tchetchenian A; Zhu Y; Zhang F; O’Donnell LJ; Song Y; Meijering E, 2023, 'A comparison of manual and automated neural architecture search for white matter tract segmentation', Scientific Reports, 13, http://dx.doi.org/10.1038/s41598-023-28210-1
    Journal articles | 2023
    Wei X; Liu Q; Liu M; Wang Y; Meijering E, 2023, '3D Soma Detection in Large-Scale Whole Brain Images via a Two-Stage Neural Network', IEEE Transactions on Medical Imaging, 42, pp. 148 - 157, http://dx.doi.org/10.1109/TMI.2022.3206605
    Journal articles | 2023
    Zhu Y; Wang M; Yin X; Zhang J; Meijering E; Hu J, 2023, 'Deep Learning in Diverse Intelligent Sensor Based Systems', Sensors, 23, pp. 62, http://dx.doi.org/10.3390/s23010062
    Journal articles | 2023
    Zhu Y; Yin X; Meijering E, 2023, 'A Compound Loss Function With Shape Aware Weight Map for Microscopy Cell Segmentation', IEEE Transactions on Medical Imaging, 42, pp. 1278 - 1288, http://dx.doi.org/10.1109/TMI.2022.3226226
    Journal articles | 2022
    Chen W; Liu M; Du H; Radojevic M; Wang Y; Meijering E, 2022, 'Deep-Learning-Based Automated Neuron Reconstruction From 3D Microscopy Images Using Synthetic Training Images', IEEE Transactions on Medical Imaging, 41, pp. 1031 - 1042, http://dx.doi.org/10.1109/TMI.2021.3130934
    Journal articles | 2022
    Fetanat M; Stevens M; Jain P; Hayward C; Meijering E; Lovell NH, 2022, 'Fully Elman Neural Network: A Novel Deep Recurrent Neural Network Optimized by an Improved Harris Hawks Algorithm for Classification of Pulmonary Arterial Wedge Pressure', IEEE Transactions on Biomedical Engineering, 69, pp. 1733 - 1744, http://dx.doi.org/10.1109/TBME.2021.3129459
    Journal articles | 2022
    Jiang Y; Chen W; Liu M; Wang Y; Meijering E, 2022, 'DeepRayburst for Automatic Shape Analysis of Tree-Like Structures in Biomedical Images', IEEE Journal of Biomedical and Health Informatics, 26, pp. 2204 - 2215, http://dx.doi.org/10.1109/JBHI.2021.3124514
    Journal articles | 2022
    Khan TM; Naqvi SS; Meijering E, 2022, 'Leveraging image complexity in macro-level neural network design for medical image segmentation', Scientific Reports, 12, http://dx.doi.org/10.1038/s41598-022-26482-7
    Journal articles | 2022
    Meijering E; Calhoun VD; Menegaz G; Miller DJ; Ye JC, 2022, 'Deep Learning in Biological Image and Signal Processing', IEEE Signal Processing Magazine, 39, pp. 24 - 26, http://dx.doi.org/10.1109/MSP.2021.3134525
    Journal articles | 2022
    Rana P; Sowmya A; Meijering E; Song Y, 2022, 'Data augmentation with improved regularisation and sampling for imbalanced blood cell image classification', Scientific Reports, 12, http://dx.doi.org/10.1038/s41598-022-22882-x
    Journal articles | 2022
    Sandarenu P; Millar EKA; Song Y; Browne L; Beretov J; Lynch J; Graham PH; Jonnagaddala J; Hawkins N; Huang J; Meijering E, 2022, 'Survival prediction in triple negative breast cancer using multiple instance learning of histopathological images', Scientific Reports, 12, http://dx.doi.org/10.1038/s41598-022-18647-1
    Journal articles | 2022
    Snelders M; Koedijk IH; Schirmer J; Mulleners O; van Leeuwen J; de Wagenaar NP; Bartulos O; Voskamp P; Braam S; Guttenberg Z; Danser AHJ; Majoor-Krakauer D; Meijering E; van der Pluijm I; Essers J, 2022, 'Contraction pressure analysis using optical imaging in normal and MYBPC3-mutated hiPSC-derived cardiomyocytes grown on matrices with tunable stiffness', Biomaterials and Biosystems, 8, http://dx.doi.org/10.1016/j.bbiosy.2022.100068
    Journal articles | 2022
    Wang X; Liu M; Wang Y; Fan J; Meijering E, 2022, 'A 3D Tubular Flux Model for Centerline Extraction in Neuron Volumetric Images', IEEE Transactions on Medical Imaging, 41, pp. 1069 - 1079, http://dx.doi.org/10.1109/TMI.2021.3130987
    Journal articles | 2022
    Yang B; Liu M; Wang Y; Zhang K; Meijering E, 2022, 'Structure-Guided Segmentation for 3D Neuron Reconstruction', IEEE Transactions on Medical Imaging, 41, pp. 903 - 914, http://dx.doi.org/10.1109/TMI.2021.3125777
    Journal articles | 2021
    Chen W; Liu M; Zhan Q; Tan Y; Meijering E; Radojevic M; Wang Y, 2021, 'Spherical-Patches Extraction for Deep-Learning-Based Critical Points Detection in 3D Neuron Microscopy Images', IEEE Transactions on Medical Imaging, 40, pp. 527 - 538, http://dx.doi.org/10.1109/TMI.2020.3031289
    Journal articles | 2021
    Jiang Y; Chen W; Liu M; Wang Y; Meijering E, 2021, '3D Neuron Microscopy Image Segmentation via the Ray-Shooting Model and a DC-BLSTM Network', IEEE Transactions on Medical Imaging, 40, pp. 26 - 37, http://dx.doi.org/10.1109/TMI.2020.3021493
    Journal articles | 2021
    Lin Z; Wu B; Paul MW; Li KW; Yao Y; Smal I; Onori MP; Hasanbegovic H; Bezstarosti K; Demmers J; Houtsmuller AB; Meijering E; Hoebeek FE; Schonewille M; Smit AB; Gao Z; de Zeeuw CI, 2021, 'Protein phosphatase 2b dual function facilitates synaptic integrity and motor learning', Journal of Neuroscience, 41, pp. 5579 - 5594, http://dx.doi.org/10.1523/JNEUROSCI.1741-20.2021
    Journal articles | 2021
    Mouiee DA; Meijering E; Kalloniatis M; Nivison-Smith L; Williams RA; Nayagam DAX; Spencer TC; Luu CD; McGowan C; Epp SB; Shivdasani MN, 2021, 'Classifying retinal degeneration in histological sections using deep learning', Translational Vision Science and Technology, 10, http://dx.doi.org/10.1167/tvst.10.7.9
    Journal articles | 2021
    Rana P; Sowmya A; Meijering E; Song Y, 2021, 'Estimation of three-dimensional chromatin morphology for nuclear classification and characterisation', Scientific Reports, 11, http://dx.doi.org/10.1038/s41598-021-82985-9
    Journal articles | 2021
    Shen L; Liu M; Wang C; Guo C; Meijering E; Wang Y, 2021, 'Efficient 3D Junction Detection in Biomedical Images Based on a Circular Sampling Model and Reverse Mapping', IEEE Journal of Biomedical and Health Informatics, 25, pp. 1612 - 1623, http://dx.doi.org/10.1109/JBHI.2020.3036743
    Journal articles | 2021
    Zhu J; Bolsterlee B; Chow BVY; Cai C; Herbert RD; Song Y; Meijering E, 2021, 'Deep learning methods for automatic segmentation of lower leg muscles and bones from MRI scans of children with and without cerebral palsy', NMR in Biomedicine, 34, http://dx.doi.org/10.1002/nbm.4609
    Journal articles | 2021
    Zhu Y; Meijering E, 2021, 'Automatic improvement of deep learning-based cell segmentation in time-lapse microscopy by neural architecture search', Bioinformatics, 37, pp. 4844 - 4850, http://dx.doi.org/10.1093/bioinformatics/btab556
    Journal articles | 2020
    Meijering E, 2020, 'A bird's-eye view of deep learning in bioimage analysis', Computational and Structural Biotechnology Journal, 18, pp. 2312 - 2325, http://dx.doi.org/10.1016/j.csbj.2020.08.003
    Journal articles | 2020
    Rana P; Sowmya A; Meijering E; Song Y, 2020, 'Estimation of Three-Dimensional Chromatin Morphology for Nuclear Classification and Characterisation', , http://dx.doi.org/10.1101/2020.07.29.226498
    Journal articles | 2020
    Serra-Marques A; Martin M; Katrukha EA; Grigoriev I; Peeters CAE; Liu Q; Hooikaas PJ; Yao Y; Solianova V; Smal I; Pedersen LB; Meijering E; Kapitein LC; Akhmanova A, 2020, 'Concerted action of kinesins kif5b and kif13b promotes efficient secretory vesicle transport to microtubule plus ends', eLife, 9, pp. 1 - 37, http://dx.doi.org/10.7554/eLife.61302
    Journal articles | 2020
    Yao Y; Smal I; Grigoriev I; Akhmanova A; Meijering E, 2020, 'Deep-learning method for data association in particle tracking', Bioinformatics, 36, pp. 4935 - 4941, http://dx.doi.org/10.1093/bioinformatics/btaa597
    Journal articles | 2019
    Arts M; Smal I; Paul MW; Wyman C; Meijering E, 2019, 'Particle Mobility Analysis Using Deep Learning and the Moment Scaling Spectrum', Scientific Reports, 9, http://dx.doi.org/10.1038/s41598-019-53663-8
    Journal articles | 2019
    Castilla C; Maska M; Sorokin DV; Meijering E; Ortiz-De-Solorzano C, 2019, '3-D quantification of filopodia in motile cancer cells', IEEE Transactions on Medical Imaging, 38, pp. 862 - 872, http://dx.doi.org/10.1109/TMI.2018.2873842
    Journal articles | 2019
    Fehri H; Gooya A; Lu Y; Meijering E; Johnston SA; Frangi AF, 2019, 'Bayesian Polytrees with Learned Deep Features for Multi-Class Cell Segmentation', IEEE Transactions on Image Processing, 28, pp. 3246 - 3260, http://dx.doi.org/10.1109/TIP.2019.2895455
    Journal articles | 2019
    Kuil LE; Oosterhof N; Geurts SN; Van Der Linde HC; Meijering E; Van Ham TJ, 2019, 'Reverse genetic screen reveals that Il34 facilitates yolk sac macrophage distribution and seeding of the brain', DMM Disease Models and Mechanisms, 12, http://dx.doi.org/10.1242/dmm.037762
    Journal articles | 2019
    Mata G; Radojević M; Fernandez-Lozano C; Smal I; Werij N; Morales M; Meijering E; Rubio J, 2019, 'Automated Neuron Detection in High-Content Fluorescence Microscopy Images Using Machine Learning', Neuroinformatics, 17, pp. 253 - 269, http://dx.doi.org/10.1007/s12021-018-9399-4
    Journal articles | 2019
    Radojević M; Meijering E, 2019, 'Automated Neuron Reconstruction from 3D Fluorescence Microscopy Images Using Sequential Monte Carlo Estimation', Neuroinformatics, 17, pp. 423 - 442, http://dx.doi.org/10.1007/s12021-018-9407-8
    Journal articles | 2018
    Meijering E; Munoz-Barrutia A, 2018, 'Spotlight on Bioimaging and Signal Processing [In the Spotlight]', IEEE Signal Processing Magazine, 35, http://dx.doi.org/10.1109/MSP.2018.2864772
    Journal articles | 2017
    Peng H; Zhou Z; Meijering E; Zhao T; Ascoli GA; Hawrylycz M, 2017, 'Automatic tracing of ultra-volumes of neuronal images', Nature Methods, 14, pp. 332 - 333, http://dx.doi.org/10.1038/nmeth.4233
    Journal articles | 2017
    Radojević M; Meijering E, 2017, 'Automated neuron tracing using probability hypothesis density filtering', Bioinformatics, 33, pp. 1073 - 1080, http://dx.doi.org/10.1093/bioinformatics/btw751
    Journal articles | 2017
    Ulman V; Maška M; Magnusson KEG; Ronneberger O; Haubold C; Harder N; Matula P; Matula P; Svoboda D; Radojevic M; Smal I; Rohr K; Jaldén J; Blau HM; Dzyubachyk O; Lelieveldt B; Xiao P; Li Y; Cho SY; Dufour AC; Olivo-Marin JC; Reyes-Aldasoro CC; Solis-Lemus JA; Bensch R; Brox T; Stegmaier J; Mikut R; Wolf S; Hamprecht FA; Esteves T; Quelhas P; Demirel Ö; Malmström L; Jug F; Tomancak P; Meijering E; Muñoz-Barrutia A; Kozubek M; Ortiz-De-Solorzano C, 2017, 'An objective comparison of cell-tracking algorithms', Nature Methods, 14, pp. 1141 - 1152, http://dx.doi.org/10.1038/nmeth.4473
    Journal articles | 2017
    Yang C; Wu J; de Heus C; Grigoriev I; Liv N; Yao Y; Smal I; Meijering E; Klumperman J; Qi RZ; Akhmanova A, 2017, 'EB1 and EB3 regulate microtubule minus end organization and Golgi morphology', Journal of Cell Biology, 216, pp. 3179 - 3198, http://dx.doi.org/10.1083/jcb.201701024
    Journal articles | 2016
    Meijering E; Carpenter AE; Peng H; Hamprecht FA; Olivo-Marin JC, 2016, 'Imagining the future of bioimage analysis', Nature Biotechnology, 34, pp. 1250 - 1255, http://dx.doi.org/10.1038/nbt.3722
    Journal articles | 2016
    Radojević M; Smal I; Meijering E, 2016, 'Fuzzy-Logic Based Detection and Characterization of Junctions and Terminations in Fluorescence Microscopy Images of Neurons', Neuroinformatics, 14, pp. 201 - 219, http://dx.doi.org/10.1007/s12021-015-9287-0
    Journal articles | 2015
    Krüger AV; Jelier R; Dzyubachyk O; Zimmerman T; Meijering E; Lehner B, 2015, 'Comprehensive single cell-resolution analysis of the role of chromatin regulators in early C. elegans embryogenesis', Developmental Biology, 398, pp. 153 - 162, http://dx.doi.org/10.1016/j.ydbio.2014.10.014
    Journal articles | 2015
    Muñoz-Barrutia A; Kovačević J; Kozubek M; Meijering E; Parvin B, 2015, 'Quantitative bioimaging: Signal processing in light microscopy', IEEE Signal Processing Magazine, 32, pp. 18 - 19, http://dx.doi.org/10.1109/MSP.2014.2359691
    Journal articles | 2015
    Ortiz-De-Solórzano C; Muñoz-Barrutia A; Meijering E; Kozubek M, 2015, 'Toward a morphodynamic model of the cell: Signal processing for cell modeling', IEEE Signal Processing Magazine, 32, pp. 20 - 29, http://dx.doi.org/10.1109/MSP.2014.2358263
    Journal articles | 2015
    Peng H; Hawrylycz M; Roskams J; Hill S; Spruston N; Meijering E; Ascoli GA, 2015, 'BigNeuron: Large-Scale 3D Neuron Reconstruction from Optical Microscopy Images', Neuron, 87, pp. 252 - 256, http://dx.doi.org/10.1016/j.neuron.2015.06.036
    Journal articles | 2015
    Peng H; Meijering E; Ascoli GA, 2015, 'From DIADEM to BigNeuron', Neuroinformatics, 13, pp. 259 - 260, http://dx.doi.org/10.1007/s12021-015-9270-9
    Journal articles | 2015
    Plenge E; Klein S; Niessen WJ; Meijering E, 2015, 'Erratum: Multiple sparse representations classification (PLoS ONE (2015) 10:7 (e0131968) (Doi:10.1371/journal.pone.0131968))', PLoS ONE, 10, http://dx.doi.org/10.1371/journal.pone.0136827
    Journal articles | 2015
    Plenge E; Klein SS; Niessen WJ; Meijering E, 2015, 'Multiple sparse representations classification', PLoS ONE, 10, http://dx.doi.org/10.1371/journal.pone.0131968
    Journal articles | 2015
    Reuter M; Zelensky A; Smal I; Meijering E; van Cappellen WA; Martijn de Gruiter H; van Belle GJ; van Royen ME; Houtsmuller AB; Essers J; Kanaar R; Wyman C, 2015, 'Correction to: "BRCA2 diffuses as oligomeric clusters with RAD51 and changes mobility after DNA damage in live cells" [J. Cell Biol. Vol. 207 No. 5, December 8, 2014. Pages 599-613]', Journal of Cell Biology, 208, pp. 857 - 857, http://dx.doi.org/10.1083/jcb.20140501402182015c
    Journal articles | 2015
    Reuter M; Zelensky A; Smal I; Meijering E; van Cappellen WA; de Gruiter HM; van Belle GJ; van Royen ME; Houtsmuller AB; Essers J; Kanaar R; Wyman C, 2015, 'BRCA2 diffuses as oligomeric clusters with RAD51 and changes mobility after DNA damage in live cells (vol 207, pg 599, 2014)', JOURNAL OF CELL BIOLOGY, 208, pp. 857 - 857, http://dx.doi.org/10.1083/jcb.20140501402182015c
    Journal articles | 2015
    Smal I; Meijering E, 2015, 'Quantitative comparison of multiframe data association techniques for particle tracking in time-lapse fluorescence microscopy', Medical Image Analysis, 24, pp. 163 - 189, http://dx.doi.org/10.1016/j.media.2015.06.006
    Journal articles | 2015
    Spanjaard E; Smal I; Angelopoulos N; Verlaan I; Matov A; Meijering E; Wessels L; Bos H; de Rooij J, 2015, 'Quantitative imaging of focal adhesion dynamics and their regulation by HGF and Rap1 signaling', Experimental Cell Research, 330, pp. 382 - 397, http://dx.doi.org/10.1016/j.yexcr.2014.10.012
    Journal articles | 2014
    Chenouard N; Smal I; De Chaumont F; Maška M; Sbalzarini IF; Gong Y; Cardinale J; Carthel C; Coraluppi S; Winter M; Cohen AR; Godinez WJ; Rohr K; Kalaidzidis Y; Liang L; Duncan J; Shen H; Xu Y; Magnusson KEG; Jaldén J; Blau HM; Paul-Gilloteaux P; Roudot P; Kervrann C; Waharte F; Tinevez JY; Shorte SL; Willemse J; Celler K; Van Wezel GP; Dan HW; Tsai YS; De Solórzano CO; Olivo-Marin JC; Meijering E, 2014, 'Objective comparison of particle tracking methods', Nature Methods, 11, pp. 281 - 289, http://dx.doi.org/10.1038/nmeth.2808
    Journal articles | 2014
    Dzyubachyk O; Khmelinskii A; Plenge E; Kok P; Snoeks TJA; Poot DHJ; Lowik CWGM; Botha CP; Niessen WJ; Van Der Weerd L; Meijering E; Lelieveldt BPF, 2014, 'Interactive local super-resolution reconstruction of whole-body MRI mouse data: A pilot study with applications to bone and kidney metastases', PLoS ONE, 9, http://dx.doi.org/10.1371/journal.pone.0108730
    Journal articles | 2014
    Maška M; Ulman V; Svoboda D; Matula P; Matula P; Ederra C; Urbiola A; España T; Venkatesan S; Balak DMW; Karas P; Bolcková T; Štreitová M; Carthel C; Coraluppi S; Harder N; Rohr K; Magnusson KEG; Jaldén J; Blau HM; Dzyubachyk O; Křížek P; Hagen GM; Pastor-Escuredo D; Jimenez-Carretero D; Ledesma-Carbayo MJ; Muñoz-Barrutia A; Meijering E; Kozubek M; Ortiz-De-Solorzano C, 2014, 'A benchmark for comparison of cell tracking algorithms', Bioinformatics, 30, pp. 1609 - 1617, http://dx.doi.org/10.1093/bioinformatics/btu080
    Journal articles | 2014
    Poole DS; Plenge E; Poot DHJ; Lakke EAJF; Niessen WJ; Meijering E; van der Weerd L, 2014, 'Three-dimensional inversion recovery manganese-enhanced MRI of mouse brain using super-resolution reconstruction to visualize nuclei involved in higher brain function', NMR in Biomedicine, 27, pp. 749 - 759, http://dx.doi.org/10.1002/nbm.3108
    Journal articles | 2014
    Ramnath NWM; Van De Luijtgaarden KM; Van Der Pluijm I; Van Nimwegen M; Van Heijningen PM; Swagemakers SMA; Van Thiel BS; Ridwan RY; Van Vliet N; Vermeij M; Hawinkels LJAC; De Munck A; Dzyubachyk O; Meijering E; Van Der Spek P; Rottier R; Yanagisawa H; Hendriks RW; Kanaar R; Rouwet EV; Kleinjan A; Essers J, 2014, 'Extracellular matrix defects in aneurysmal Fibulin-4 mice predispose to lung emphysema', PLoS ONE, 9, http://dx.doi.org/10.1371/journal.pone.0106054
    Journal articles | 2014
    Reuter M; Zelensky A; Smal I; Meijering E; van Cappellen WA; de Gruiter HM; van Belle GJ; van Royen ME; Houtsmuller AB; Essers J; Kanaar R; Wyman C, 2014, 'BRCA2 diffuses as oligomeric clusters with RAD51 and changes mobility after DNA damage in live cells', Journal of Cell Biology, 207, pp. 599 - 613, http://dx.doi.org/10.1083/jcb.201405014
    Journal articles | 2013
    Mohan R; Katrukha EA; Doodhi H; Smal I; Meijering E; Kapitein LC; Steinmetz MO; Akhmanova A, 2013, 'End-binding proteins sensitize microtubules to the action of microtubule-targeting agents', Proceedings of the National Academy of Sciences of the United States of America, 110, pp. 8900 - 8905, http://dx.doi.org/10.1073/pnas.1300395110
    Journal articles | 2013
    Plenge E; Poot DHJ; Niessen WJ; Meijering E, 2013, 'Super-resolution reconstruction using cross-scale self-similarity in multi-slice MRI', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8151 LNCS, pp. 123 - 130, http://dx.doi.org/10.1007/978-3-642-40760-4_16
    Journal articles | 2012
    Meijering E, 2012, 'Cell segmentation: 50 Years down the road [life Sciences]', IEEE Signal Processing Magazine, 29, pp. 140 - 145, http://dx.doi.org/10.1109/MSP.2012.2204190
    Journal articles | 2012
    Plenge E; Poot DHJ; Bernsen M; Kotek G; Houston G; Wielopolski P; Van Der Weerd L; Niessen WJ; Meijering E, 2012, 'Super-resolution methods in MRI: Can they improve the trade-off between resolution, signal-to-noise ratio, and acquisition time?', Magnetic Resonance in Medicine, 68, pp. 1983 - 1993, http://dx.doi.org/10.1002/mrm.24187
    Journal articles | 2012
    Smal I; Carranza-Herrezuelo N; Klein S; Wielopolski P; Moelker A; Springeling T; Bernsen M; Niessen W; Meijering E, 2012, 'Reversible jump MCMC methods for fully automatic motion analysis in tagged MRI', Medical Image Analysis, 16, pp. 301 - 324, http://dx.doi.org/10.1016/j.media.2011.08.006
    Journal articles | 2011
    Agarwal S; Van Cappellen WA; Guénolé A; Eppink B; Linsen SEV; Meijering E; Houtsmuller A; Kanaar R; Essers J, 2011, 'ATP-dependent and independent functions of Rad54 in genome maintenance', Journal of Cell Biology, 192, pp. 735 - 750, http://dx.doi.org/10.1083/jcb.201011025
    Journal articles | 2011
    Buey RM; Mohan R; Leslie K; Walzthoeni T; Missimer JH; Menzel A; Bjelić S; Bargsten K; Grigoriev I; Smal I; Meijering E; Aebersold R; Akhmanova A; Steinmetz MO, 2011, 'Insights into EB1 structure and the role of its c-terminal domain for discriminating microtubule tips from the lattice', Molecular Biology of the Cell, 22, pp. 2912 - 2923, http://dx.doi.org/10.1091/mbc.E11-01-0017
    Journal articles | 2011
    Grigoriev I; Yu KL; Martinez-Sanchez E; Serra-Marques A; Smal I; Meijering E; Demmers J; Peränen J; Pasterkamp RJ; Van Der Sluijs P; Hoogenraad CC; Akhmanova A, 2011, 'Rab6, Rab8, and MICAL3 cooperate in controlling docking and fusion of exocytotic carriers', Current Biology, 21, pp. 967 - 974, http://dx.doi.org/10.1016/j.cub.2011.04.030
    Journal articles | 2010
    Aguilo MA; Aquino W; Brigham JC; Fatemi M, 2010, 'Correction to “An Inverse Problem Approach for Elasticity Imaging through Vibroacoustics” [Apr 10 1012-1021', IEEE Transactions on Medical Imaging, 29, pp. 1331 - 1331, http://dx.doi.org/10.1109/tmi.2010.2051071
    Journal articles | 2010
    Dzyubachyk O; Essers J; van Cappellen WA; Baldeyron C; Inagaki A; Niessen WJ; Meijering E, 2010, 'Automated analysis of time-lapse fluorescence microscopy images: From live cell images to intracellular foci', Bioinformatics, 26, pp. 2424 - 2430, http://dx.doi.org/10.1093/bioinformatics/btq434
    Journal articles | 2010
    Dzyubachyk O; Van Cappellen WA; Essers J; Niessen WJ; Meijering E, 2010, 'Advanced level-set-based cell tracking in time-lapse fluorescence microscopy', IEEE Transactions on Medical Imaging, 29, pp. 852 - 867, http://dx.doi.org/10.1109/TMI.2009.2038693
    Journal articles | 2010
    Dzyubachyk O; Van Cappellen WA; Essers J; Niessen WJ; Meijering E, 2010, 'Erratum: Advanced level-set-based cell tracking in time-lapse fluorescence microscopy (IEEE Transactions on Medical Imaging (2010) 29:3 (852-867))', IEEE Transactions on Medical Imaging, 29, pp. 1331, http://dx.doi.org/10.1109/TMI.2010.2049183
    Journal articles | 2010
    Meijering E, 2010, 'Neuron tracing in perspective', Cytometry Part A, 77, pp. 693 - 704, http://dx.doi.org/10.1002/cyto.a.20895
    Journal articles | 2010
    Montenegro Gouveia S; Leslie K; Kapitein LC; Buey RM; Grigoriev I; Wagenbach M; Smal I; Meijering E; Hoogenraad CC; Wordeman L; Steinmetz MO; Akhmanova A, 2010, 'In vitro reconstitution of the functional interplay between MCAK and EB3 at microtubule plus ends', Current Biology, 20, pp. 1717 - 1722, http://dx.doi.org/10.1016/j.cub.2010.08.020
    Journal articles | 2010
    Smal I; Grigoriev I; Akhmanova A; Niessen WJ; Meijering E, 2010, 'Microtubule dynamics analysis using kymographs and variable-rate particle filters', IEEE Transactions on Image Processing, 19, pp. 1861 - 1876, http://dx.doi.org/10.1109/TIP.2010.2045031
    Journal articles | 2010
    Smal I; Loog M; Niessen W; Meijering E, 2010, 'Quantitative comparison of spot detection methods in fluorescence microscopy', IEEE Transactions on Medical Imaging, 29, pp. 282 - 301, http://dx.doi.org/10.1109/TMI.2009.2025127
    Journal articles | 2010
    Stepanova T; Smal I; Van Haren J; Akinci U; Liu Z; Miedema M; Limpens R; Van Ham M; Van Der Reijden M; Poot R; Grosveld F; Mommaas M; Meijering E; Galjart N, 2010, 'History-dependent catastrophes regulate axonal microtubule behavior', Current Biology, 20, pp. 1023 - 1028, http://dx.doi.org/10.1016/j.cub.2010.04.024
    Journal articles | 2009
    De Weert TT; Cakir H; Rozie S; Cretier S; Meijering E; Dippel DWJ; Van Der Lugt A, 2009, 'Intracranial internal carotid artery calcifications: Association with vascular risk factors and ischemic cerebrovascular disease', American Journal of Neuroradiology, 30, pp. 177 - 184, http://dx.doi.org/10.3174/ajnr.A1301
    Journal articles | 2009
    Meijering E; Dzyubachyk O; Smal I; van Cappellen WA, 2009, 'Tracking in cell and developmental biology', Seminars in Cell and Developmental Biology, 20, pp. 894 - 902, http://dx.doi.org/10.1016/j.semcdb.2009.07.004
    Journal articles | 2008
    Smal I; Draegestein K; Galjart N; Niessen W; Meijering E, 2008, 'Particle filtering for multiple object tracking in dynamic fluorescence microscopy images: Application to microtubule growth analysis', IEEE Transactions on Medical Imaging, 27, pp. 789 - 804, http://dx.doi.org/10.1109/TMI.2008.916964
    Journal articles | 2008
    Smal I; Meijering E; Draegestein K; Galjart N; Grigoriev I; Akhmanova A; van Royen ME; Houtsmuller AB; Niessen W, 2008, 'Multiple object tracking in molecular bioimaging by Rao-Blackwellized marginal particle filtering', Medical Image Analysis, 12, pp. 764 - 777, http://dx.doi.org/10.1016/j.media.2008.03.004
    Journal articles | 2008
    Weert TT; Monyé C; Meijering E; Booij R; Niessen WJ; Dippel DWJ; Lugt A, 2008, 'Assessment of atherosclerotic carotid plaque volume with multidetector computed tomography angiography', International Journal of Cardiovascular Imaging, 24, pp. 751 - 759, http://dx.doi.org/10.1007/s10554-008-9309-1
    Journal articles | 2007
    van Velsen EFS; Niessen WJ; de Weert TT; de Monyé C; van der Lugt A; Meijering E; Stokking R, 2007, 'Evaluation of an improved technique for lumen path definition and lumen segmentation of atherosclerotic vessels in CT angiography', European Radiology, 17, pp. 1738 - 1745, http://dx.doi.org/10.1007/s00330-006-0469-x
    Journal articles | 2006
    De Weert TT; Ouhlous M; Meijering E; Zondervan PE; Hendriks JM; Van Sambeek MRHM; Dippel DWJ; Van Der Lugt A, 2006, 'In vivo characterization and quantification of atherosclerotic carotid plaque components with multidetector computed tomography and histopathological correlation', Arteriosclerosis, Thrombosis, and Vascular Biology, 26, pp. 2366 - 2372, http://dx.doi.org/10.1161/01.ATV.0000240518.90124.57
    Journal articles | 2006
    Gratama van Andel HAF; Meijering E; van der Lugt A; Vrooman HA; de Monyé C; Stokking R, 2006, 'Evaluation of an improved technique for automated center lumen line definition in cardiovascular image data', European Radiology, 16, pp. 391 - 398, http://dx.doi.org/10.1007/s00330-005-2854-2
    Journal articles | 2006
    Meijering E; Smal I; Danuser G, 2006, 'Tracking in molecular bioimaging', IEEE Signal Processing Magazine, 23, pp. 46 - 53, http://dx.doi.org/10.1109/MSP.2006.1628877
    Journal articles | 2005
    Murphy RF; Meijering E; Danuser G, 2005, 'Guest editorial', IEEE Transactions on Image Processing, 14, pp. 1233 - 1236, http://dx.doi.org/10.1109/TIP.2005.855701
    Journal articles | 2004
    Meijering E; Jacob M; Sarria JCF; Steiner P; Hirling H; Unser M, 2004, 'Design and Validation of a Tool for Neurite Tracing and Analysis in Fluorescence Microscopy Images', Cytometry Part A, 58, pp. 167 - 176, http://dx.doi.org/10.1002/cyto.a.20022
    Journal articles | 2003
    Meijering E; Unser M, 2003, 'A note on cubic convolution interpolation', IEEE Transactions on Image Processing, 12, pp. 477 - 479, http://dx.doi.org/10.1109/TIP.2003.811493
    Journal articles | 2002
    Meijering E, 2002, 'A chronology of interpolation: From ancient astronomy to modern signal and image processing', Proceedings of the IEEE, 90, pp. 317 - 318, http://dx.doi.org/10.1109/JPROC.2002.993399
    Journal articles | 2002
    Meijering E, 2002, 'A chronology of interpolation: From ancient astronomy to modern signal and image processing', Proceedings of the IEEE, 90, pp. 319 - 342, http://dx.doi.org/10.1109/5.993400
    Journal articles | 2001
    Meijering EHW; Niessen WJ; Bakker J; Van der Molen AJ; De Kort GAP; Lo RTH; Mali WPTM; Viergever MA, 2001, 'Reduction of patient motion artifacts in digital subtraction angiography: Evaluation of a fast and fully automatic technique', Radiology, 219, pp. 288 - 293, http://dx.doi.org/10.1148/radiology.219.1.r01ap19288
    Journal articles | 2001
    Meijering EHW; Niessen WJ; Viergever MA, 2001, 'Quantitative evaluation of convolution-based methods for medical image interpolation', Medical Image Analysis, 5, pp. 111 - 126, http://dx.doi.org/10.1016/S1361-8415(00)00040-2
    Journal articles | 1999
    Meijering EHW; Niessen WJ; Viergever MA, 1999, 'Retrospective motion correction in digital subtraction angiography: A review', IEEE Transactions on Medical Imaging, 18, pp. 2 - 21, http://dx.doi.org/10.1109/42.750248
    Journal articles | 1999
    Meijering EHW; Zuiderveld KJ; Viergever MA, 1999, 'Image reconstruction by convolution with symmetrical piecewise nth-order polynomial kernels', IEEE Transactions on Image Processing, 8, pp. 192 - 201, http://dx.doi.org/10.1109/83.743854
    Journal articles | 1999
    Meijering EHW; Zuiderveld KJ; Viergever MA, 1999, 'Image registration for digital subtraction angiography', International Journal of Computer Vision, 31, pp. 227 - 246, http://dx.doi.org/10.1023/a:1008074100927
  • Working Papers | 2020
    Rana P; Sowmya A; Meijering E; Song Y, 2020, Estimation of Three-Dimensional Chromatin Morphology for Nuclear Classification and Characterisation, http://dx.doi.org10.1101/2020.07.29.226498
  • Conference Papers | 2024
    Heng Z; Pagnucco M; Meijering E; Song Y, 2024, 'Vascular Topology Rectification Network for Automated Retinal Artery/Vein Segmentation', in Proceedings - International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI56570.2024.10635229
    Conference Papers | 2024
    Hu Y; Meijering E; Song Y, 2024, 'Large-Kernel Attention Network with Distance Regression and Topological Self-correction for Airway Segmentation', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 115 - 126, http://dx.doi.org/10.1007/978-981-99-8388-9_10
    Preprints | 2024
    Khan TM; Iqbal S; Naqvi SS; Razzak I; Meijering E, 2024, LMBF-Net: A Lightweight Multipath Bidirectional Focal Attention Network for Multifeatures Segmentation, http://arxiv.org/abs/2407.02871v1
    Conference Papers | 2024
    Mondol RK; Millar EKA; Sowmya A; Meijering E, 2024, 'MM-Survnet: Deep Learning-Based Survival Risk Stratification in Breast Cancer Through Multimodal Data Fusion', in Proceedings - International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI56570.2024.10635810
    Preprints | 2024
    Mondol RK; Millar EKA; Sowmya A; Meijering E, 2024, MM-SurvNet: Deep Learning-Based Survival Risk Stratification in Breast Cancer Through Multimodal Data Fusion, http://arxiv.org/abs/2402.11788v1
    Conference Papers | 2024
    Rahaman MM; Millar EKA; Meijering E, 2024, 'Histopathology Image Classification Using Supervised Contrastive Deep Learning', in Proceedings - International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI56570.2024.10635260
    Conference Papers | 2024
    Sandarenu P; Chen J; Slapetova I; Browne L; Graham PH; Swarbrick A; Millar EKA; Song Y; Meijering E, 2024, 'Semi-Supervised Variational Autoencoder for Cell Feature Extraction In Multiplexed Immunofluorescence Images', in Proceedings - International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI56570.2024.10635107
    Conference Papers | 2024
    Shanmugalingam K; Sowmya A; Moses D; Meijering E, 2024, 'Prostate Segmentation Using Multiparametric and Multiplanar Magnetic Resonance Images', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 217 - 226, http://dx.doi.org/10.1007/978-3-031-45673-2_22
    Preprints | 2024
    Tchetchenian A; Zekelman L; Chen Y; Rushmore J; Zhang F; Yeterian EH; Makris N; Rathi Y; Meijering E; Song Y; O'Donnell LJ, 2024, Deep multimodal saliency parcellation of cerebellar pathways: linking microstructure and individual function through explainable multitask learning, http://arxiv.org/abs/2407.15132v1
    Preprints | 2024
    Yao Y; Smal I; Grigoriev I; Akhmanova A; Meijering E, 2024, Deep Joint Denoising and Detection for Enhanced Intracellular Particle Analysis, http://arxiv.org/abs/2408.07903v1
    Conference Papers | 2024
    Zhu Y; Tchetchenian A; Yin X; Liew A; Song Y; Meijering E, 2024, 'AC-UNet: Adaptive Connection UNet for White Matter Tract Segmentation Through Neural Architecture Search', in Proceedings - International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI56570.2024.10635404
    Conference Papers | 2023
    Brahmavar SB; Rajesh R; Dash T; Vig L; Verlekar TT; Hasan MM; Khan T; Meijering E; Srinivasan A, 2023, 'IKD+: Reliable Low Complexity Deep Models for Retinopathy Classification', in Proceedings - International Conference on Image Processing, ICIP, pp. 2400 - 2404, http://dx.doi.org/10.1109/ICIP49359.2023.10221899
    Preprints | 2023
    Brahmavar SB; Rajesh R; Dash T; Vig L; Verlekar TT; Hasan MM; Khan T; Meijering E; Srinivasan A, 2023, IKD+: Reliable Low Complexity Deep Models For Retinopathy Classification, http://dx.doi.org/10.1109/ICIP49359.2023.10221899
    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 2023, pp. 160 - 167, 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://arxiv.org/abs/2309.03535v1
    Preprints | 2023
    Khan TM; Naqvi SS; Meijering E, 2023, ESDMR-Net: A Lightweight Network With Expand-Squeeze and Dual Multiscale Residual Connections for Medical Image Segmentation, http://arxiv.org/abs/2312.10585v1
    Preprints | 2023
    Lekadir K; Feragen A; Fofanah AJ; Frangi AF; Buyx A; Emelie A; Lara A; Porras AR; Chan A-W; Navarro A; Glocker B; Botwe BO; Khanal B; Beger B; Wu CC; Cintas C; Langlotz CP; Rueckert D; Mzurikwao D; Fotiadis DI; Zhussupov D; Ferrante E; Meijering E; Weicken E; González FA; Asselbergs FW; Prior F; Krestin GP; Collins G; Tegenaw GS; Kaissis G; Misuraca G; Tsakou G; Dwivedi G; Kondylakis H; Jayakody H; Woodruf HC; Mayer HJ; Aerts HJWL; Walsh I; Chouvarda I; Buvat I; Tributsch I; Rekik I; Duncan J; Kalpathy-Cramer J; Zahir J; Park J; Mongan J; Gichoya JW; Schnabel JA; Kushibar K; Riklund K; Mori K; Marias K; Amugongo LM; Fromont LA; Maier-Hein L; Alberich LC; Rittner L; Phiri L; Marrakchi-Kacem L; Donoso-Bach L; Martí-Bonmatí L; Cardoso MJ; Bobowicz M; Shabani M; Tsiknakis M; Zuluaga MA; Bielikova M; Fritzsche M-C; Camacho M; Linguraru MG; Wenzel M; Bruijne MD; Tolsgaard MG; Ghassemi M; Ashrafuzzaman M; Goisauf M; Yaqub M; Abadía MC; Mahmoud MME; Elattar M; Rieke N; Papanikolaou N; Lazrak N; Díaz O; Salvado O; Pujol O; Sall O; Guevara P; Gordebeke P; Lambin P; Brown P; Abolmaesumi P; Dou Q; Lu Q; Osuala R; Nakasi R; Zhou SK; Napel S; Colantonio S; Albarqouni S; Joshi S; Carter S; Klein S; Petersen SE; Aussó S; Awate S; Raviv TR; Cook T; Mutsvangwa TEM; Rogers WA; Niessen WJ; Puig-Bosch X; Zeng Y; Mohammed YG; Aquino YSJ; Salahuddin Z; Starmans MPA, 2023, FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare, http://arxiv.org/abs/2309.12325v3
    Preprints | 2023
    Mondol RK; Millar EKA; Graham PH; Browne L; Sowmya A; Meijering E, 2023, hist2RNA: An efficient deep learning architecture to predict gene expression from breast cancer histopathology images, http://dx.doi.org/10.3390/cancers15092569
    Preprints | 2023
    Rahaman MM; Millar EKA; Meijering E, 2023, Breast Cancer Histopathology Image based Gene Expression Prediction using Spatial Transcriptomics data and Deep Learning, http://dx.doi.org/10.1038/s41598-023-40219-0
    Preprints | 2023
    Rahaman MM; Millar EKA; Meijering E, 2023, Breast cancer histopathology image-based gene expression prediction using spatial transcriptomics data and deep learning, http://dx.doi.org/10.21203/rs.3.rs-2983276/v1
    Preprints | 2023
    Reinke A; Tizabi MD; Baumgartner M; Eisenmann M; Heckmann-Nötzel D; Kavur AE; Rädsch T; Sudre CH; Acion L; Antonelli M; Arbel T; Bakas S; Benis A; Blaschko M; Buettner F; Cardoso MJ; Cheplygina V; Chen J; Christodoulou E; Cimini BA; Collins GS; Farahani K; Ferrer L; Galdran A; Ginneken BV; Glocker B; Godau P; Haase R; Hashimoto DA; Hoffman MM; Huisman M; Isensee F; Jannin P; Kahn CE; Kainmueller D; Kainz B; Karargyris A; Karthikesalingam A; Kenngott H; Kleesiek J; Kofler F; Kooi T; Kopp-Schneider A; Kozubek M; Kreshuk A; Kurc T; Landman BA; Litjens G; Madani A; Maier-Hein K; Martel AL; Mattson P; Meijering E; Menze B; Moons KGM; Müller H; Nichyporuk B; Nickel F; Petersen J; Rafelski SM; Rajpoot N; Reyes M; Riegler MA; Rieke N; Saez-Rodriguez J; Sánchez CI; Shetty S; Smeden MV; Summers RM; Taha AA; Tiulpin A; Tsaftaris SA; Calster BV; Varoquaux G; Wiesenfarth M; Yaniv ZR; Jäger PF; Maier-Hein L, 2023, Understanding metric-related pitfalls in image analysis validation, http://dx.doi.org/10.1038/s41592-023-02150-0
    Conference Papers | 2023
    Shanmugalingam K; Moses D; Sowmya A; Meijering E, 2023, 'Membranous Urethral Reconstruction and Segmentation in Multiplanar T2W MRI Images', in Proceedings - International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI53787.2023.10230618
    Preprints | 2023
    Zhu J; Bolsterlee B; Chow BVY; Song Y; Meijering E, 2023, Hybrid Dual Mean-Teacher Network With Double-Uncertainty Guidance for Semi-Supervised Segmentation of MRI Scans, http://arxiv.org/abs/2303.05126v1
    Preprints | 2022
    Aviyente S; Frangi A; Meijering E; Muñoz-Barrutia A; Liebling M; Ville DVD; Olivo-Marin J-C; Kovačević J; Unser M, 2022, From Nano to Macro: Overview of the IEEE Bio Image and Signal Processing Technical Committee, http://dx.doi.org/10.1109/MSP.2023.3242833
    Conference Papers | 2022
    Fan L; Sowmya A; Meijering E; Song Y, 2022, 'Fast FF-to-FFPE Whole Slide Image Translation via Laplacian Pyramid and Contrastive Learning', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 409 - 419, http://dx.doi.org/10.1007/978-3-031-16434-7_40
    Conference Papers | 2022
    Hu Y; Pan Y; Song Y; Meijering E; Cui Z; Zhao Y; Ding Z; Zhu M; Shen D, 2022, 'Parallel Sinogram and Image Framework With Co-Training Strategy for Metal Artifact Reduction in Tooth Ct Images', in Proceedings - International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI52829.2022.9761653
    Conference Papers | 2022
    Imani M; Dao TNQ; Meijering E; Duque G, 2022, 'DEVELOPMENT OF NOVEL FULLY AUTOMATIC SEGMENTATION AND QUANTIFICATION TECHNIQUE FOR ASSESSMENT OF MUSCULOSKELETAL ORGANS', in AGING CLINICAL AND EXPERIMENTAL RESEARCH, SPRINGER, pp. S220 - S220, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000853975600469&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
    Conference Papers | 2022
    Khan TM; Arsalan M; Robles-Kelly A; Meijering E, 2022, 'MKIS-Net: A Light-Weight Multi-Kernel Network for Medical Image Segmentation', in 2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA), IEEE, presented at 2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 30 November 2022 - 02 December 2022, http://dx.doi.org/10.1109/dicta56598.2022.10034573
    Preprints | 2022
    Khan TM; Arsalan M; Robles-Kelly A; Meijering E, 2022, MKIS-Net: A Light-Weight Multi-Kernel Network for Medical Image Segmentation, http://arxiv.org/abs/2210.08168v1
    Preprints | 2022
    Khan TM; Naqvi SS; Meijering E, 2022, Leveraging Image Complexity in Macro-Level Neural Network Design for Medical Image Segmentation, http://dx.doi.org/10.21203/rs.3.rs-1833303/v1
    Preprints | 2022
    Khan TM; Naqvi SS; Robles-Kelly A; Meijering E, 2022, Neural Network Compression by Joint Sparsity Promotion and Redundancy Reduction, http://arxiv.org/abs/2210.07451v1
    Preprints | 2022
    Maier-Hein L; Reinke A; Godau P; Tizabi MD; Buettner F; Christodoulou E; Glocker B; Isensee F; Kleesiek J; Kozubek M; Reyes M; Riegler MA; Wiesenfarth M; Kavur AE; Sudre CH; Baumgartner M; Eisenmann M; Heckmann-Nötzel D; Rädsch T; Acion L; Antonelli M; Arbel T; Bakas S; Benis A; Blaschko M; Cardoso MJ; Cheplygina V; Cimini BA; Collins GS; Farahani K; Ferrer L; Galdran A; Ginneken BV; Haase R; Hashimoto DA; Hoffman MM; Huisman M; Jannin P; Kahn CE; Kainmueller D; Kainz B; Karargyris A; Karthikesalingam A; Kenngott H; Kofler F; Kopp-Schneider A; Kreshuk A; Kurc T; Landman BA; Litjens G; Madani A; Maier-Hein K; Martel AL; Mattson P; Meijering E; Menze B; Moons KGM; Müller H; Nichyporuk B; Nickel F; Petersen J; Rajpoot N; Rieke N; Saez-Rodriguez J; Sánchez CI; Shetty S; Smeden MV; Summers RM; Taha AA; Tiulpin A; Tsaftaris SA; Calster BV; Varoquaux G; Jäger PF, 2022, Metrics reloaded: Recommendations for image analysis validation, http://dx.doi.org/10.1038/s41592-023-02151-z
    Preprints | 2022
    Manubens-Gil L; Zhou Z; Chen H; Ramanathan A; Liu X; Liu Y; Bria A; Gillette T; Ruan Z; Yang J; Radojević M; Zhao T; Cheng L; Qu L; Liu S; Bouchard KE; Gu L; Cai W; Ji S; Roysam B; Wang C-W; Yu H; Sironi A; Iascone DM; Zhou J; Bas E; Conde-Sousa E; Aguiar P; Li X; Li Y; Nanda S; Wang Y; Muresan L; Fua P; Ye B; He H-Y; Staiger JF; Peter M; Cox DN; Simonneau M; Oberlaender M; Jefferis G; Ito K; Gonzalez-Bellido P; Kim J; Rubel E; Cline HT; Zeng H; Nern A; Chiang A-S; Yao J; Roskams J; Livesey R; Stevens J; Liu T; Dang C; Guo Y; Zhong N; Tourassi G; Hill S; Hawrylycz M; Koch C; Meijering E; Ascoli GA; Peng H, 2022, BigNeuron: A resource to benchmark and predict best-performing algorithms for automated reconstruction of neuronal morphology, http://dx.doi.org/10.1101/2022.05.10.491406
    Conference Papers | 2022
    Rana P; Sowmya A; Meijering E; Song Y, 2022, 'Imbalanced Cell-Cycle Classification Using Wgan-Div and Mixup', in Proceedings - International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI52829.2022.9761488
    Preprints | 2022
    Rana P; Sowmya A; Meijering E; Song Y, 2022, Data augmentation for imbalanced blood cell image classification, http://dx.doi.org/10.1101/2022.08.30.505762
    Preprints | 2022
    Rana P; Sowmya A; Meijering E; Song Y, 2022, Data augmentation for imbalanced blood cell image classification, , http://dx.doi.org/10.21203/rs.3.rs-1645828/v1
    Preprints | 2022
    Rana P; Sowmya A; Meijering E; Song Y, 2022, Imbalanced classification for protein subcellular localisation with multilabel oversampling, http://dx.doi.org/10.1101/2022.09.12.507675
    Conference Papers | 2022
    Shanmugalingam K; Sowmya A; Moses D; Meijering E, 2022, 'Attention Guided Deep Supervision Model for Prostate Segmentation in Multisite Heterogeneous MRI Data', in Proceedings of Machine Learning Research, pp. 1085 - 1095
    Conference Papers | 2022
    Zhu J; Bolsterlee B; Chow BVY; Song Y; Meijering E, 2022, 'Hybrid Attentive Unet for Segmentation of Lower Leg Muscles and Bones From MRI Scans For Musculoskeletal Research', in Proceedings - International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI52829.2022.9761501
    Conference Papers | 2022
    Snelders M; Koedijk IH; Schirmer J; Mulleners O; van Leeuwen J; de Wagenaar NP; Bartulos O; Voskamp P; Braam S; Guttenberg Z; Danser AHJ; Majoor-Krakauer D; Meijering E; van der Pluijm I; Essers J, 2022, 'Contraction pressure analysis using optical imaging in normal and MYBPC3-mutated hiPSC-derived cardiomyocytes grown on matrices with tunable stiffness', in Biomaterials and Biosystems, LIPPINCOTT WILLIAMS & WILKINS, http://dx.doi.org/10.1016/j.bbiosy.2022.100068
    Conference Papers | 2021
    Fan L; Sowmya A; Meijering E; Song Y, 2021, 'Learning Visual Features by Colorization for Slide-Consistent Survival Prediction from Whole Slide Images', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 592 - 601, http://dx.doi.org/10.1007/978-3-030-87237-3_57
    Conference Papers | 2021
    Rana P; Meijering E; Sowmya A; Song Y, 2021, 'Multi-label classification based on subcellular region-guided feature description for protein localisation', in Proceedings - International Symposium on Biomedical Imaging, pp. 1929 - 1933, http://dx.doi.org/10.1109/ISBI48211.2021.9434145
    Preprints | 2021
    Reinke A; Tizabi MD; Sudre CH; Eisenmann M; Rädsch T; Baumgartner M; Acion L; Antonelli M; Arbel T; Bakas S; Bankhead P; Benis A; Blaschko M; Buettner F; Cardoso MJ; Chen J; Cheplygina V; Christodoulou E; Cimini B; Collins GS; Engelhardt S; Farahani K; Ferrer L; Galdran A; Ginneken BV; Glocker B; Godau P; Haase R; Hamprecht F; Hashimoto DA; Heckmann-Nötzel D; Hirsch P; Hoffman MM; Huisman M; Isensee F; Jannin P; Kahn CE; Kainmueller D; Kainz B; Karargyris A; Karthikesalingam A; Kavur AE; Kenngott H; Kleesiek J; Kleppe A; Kohler S; Kofler F; Kopp-Schneider A; Kooi T; Kozubek M; Kreshuk A; Kurc T; Landman BA; Litjens G; Madani A; Maier-Hein K; Martel AL; Mattson P; Meijering E; Menze B; Moher D; Moons KGM; Müller H; Nichyporuk B; Nickel F; Noyan MA; Petersen J; Polat G; Rafelski SM; Rajpoot N; Reyes M; Rieke N; Riegler M; Rivaz H; Saez-Rodriguez J; Sánchez CI; Schroeter J; Saha A; Selver MA; Sharan L; Shetty S; Smeden MV; Stieltjes B; Summers RM; Taha AA; Tiulpin A; Tsaftaris SA; Calster BV; Varoquaux G; Wiesenfarth M; Yaniv ZR; Jäger P; Maier-Hein L, 2021, Common Limitations of Image Processing Metrics: A Picture Story, http://arxiv.org/abs/2104.05642v8
    Conference Papers | 2020
    Geurts SN; Oosterhof N; Kuil LE; Van Der Linde HC; Van Ham TJ; Meijering E, 2020, 'Automated Quantitative Analysis of Microglia in Bright-Field Images of Zebrafish', in Proceedings - International Symposium on Biomedical Imaging, pp. 522 - 525, http://dx.doi.org/10.1109/ISBI45749.2020.9098339
    Preprints | 2020
    Serra-Marques A; Martin M; Katrukha EA; Grigoriev I; Peeters CAE; Liu Q; Hooikaas PJ; Yao Y; Solianova V; Smal I; Pedersen LB; Meijering E; Kapitein LC; Akhmanova A, 2020, Concerted action of kinesins KIF5B and KIF13B promotes efficient secretory vesicle transport to microtubule plus ends, http://dx.doi.org/10.1101/2020.04.06.027862
    Conference Papers | 2020
    Zhu Y; Meijering E, 2020, 'Neural Architecture Search for Microscopy Cell Segmentation', Lima, Peru, presented at Neural Architecture Search for Microscopy Cell Segmentation, Lima, Peru, 04 October 2020
    Conference Papers | 2019
    Bergwerf H; Bechakra M; Smal I; Jongen JLM; Meijering E, 2019, 'Nerve fiber segmentation in bright-field microscopy images of skin biopsies using deep learning', in Proceedings - International Symposium on Biomedical Imaging, pp. 232 - 235, http://dx.doi.org/10.1109/ISBI.2019.8759504
    Conference Papers | 2019
    Smal I; Yao Y; Galjart N; Meijering E, 2019, 'Facilitating data association in particle tracking using autoencoding and score matching', in Proceedings - International Symposium on Biomedical Imaging, pp. 1523 - 1526, http://dx.doi.org/10.1109/ISBI.2019.8759418
    Conference Papers | 2018
    Castilla C; Maska M; Sorokin DV; Meijering E; Ortiz-De-Solorzano C, 2018, 'Segmentation of actin-stained 3D fluorescent cells with filopodial protrusions using convolutional neural networks', in Proceedings - International Symposium on Biomedical Imaging, pp. 413 - 417, http://dx.doi.org/10.1109/ISBI.2018.8363605
    Preprints | 2018
    Kuil LE; Oosterhof N; Geurts SN; der Linde HCV; Meijering E; van Ham TJ, 2018, Reverse genetic screen reveals that Il34 facilitates yolk sac macrophage distribution and seeding of the brain, http://dx.doi.org/10.1101/406553
    Conference Papers | 2018
    Smal I; Galjart N; Meijering E, 2018, 'Accurate estimation of intracellular dynamics and underlying spatial structures using hierarchical trajectory smoothing', in Proceedings - International Symposium on Biomedical Imaging, pp. 973 - 976, http://dx.doi.org/10.1109/ISBI.2018.8363733
    Conference Papers | 2018
    Yao Y; Smal I; Meijering E, 2018, 'Deep neural networks for data association in particle tracking', in Proceedings - International Symposium on Biomedical Imaging, pp. 458 - 461, http://dx.doi.org/10.1109/ISBI.2018.8363615
    Conference Papers | 2017
    Radojevic M; Meijering E, 2017, 'Neuron reconstruction from fluorescence microscopy images using sequential Monte Carlo estimation', in Proceedings - International Symposium on Biomedical Imaging, pp. 36 - 39, http://dx.doi.org/10.1109/ISBI.2017.7950462
    Conference Papers | 2017
    Smal I; Basu S; Sayas L; Galjart N; Meijering E, 2017, 'Gaussian processes for trajectory analysis in microtubule tracking applications', in Proceedings - International Symposium on Biomedical Imaging, pp. 206 - 209, http://dx.doi.org/10.1109/ISBI.2017.7950502
    Conference Papers | 2016
    Mata G; Radojevic M; Smal I; Morales M; Meijering E; Rubio J, 2016, 'Automatic detection of neurons in high-content microscope images using machine learning approaches', in Proceedings - International Symposium on Biomedical Imaging, pp. 330 - 333, http://dx.doi.org/10.1109/ISBI.2016.7493276
    Preprints | 2016
    Peng H; Zhou Z; Meijering E; Zhao T; Ascoli GA; Hawrylycz M, 2016, Automatic Tracing of Ultra-Volume of Neuronal Images, http://dx.doi.org/10.1101/087726
    Conference Papers | 2016
    Smal I; Meijering E, 2016, 'Poisson point processes for solving stochastic inverse problems in fluorescence microscopy', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 326 - 338, http://dx.doi.org/10.1007/978-3-319-46604-0_24
    Conference Papers | 2015
    Radojevie M; Smal I; Meijering E, 2015, 'Automated neuron morphology reconstruction using fuzzy-logic detection and Bayesian tracing algorithms', in Proceedings - International Symposium on Biomedical Imaging, pp. 885 - 888, http://dx.doi.org/10.1109/ISBI.2015.7164012
    Conference Papers | 2014
    Demirel O; Smal I; Niessen W; Meijering E; Sbalzarini IF, 2014, 'An adaptive distributed resampling algorithm with non-proportional allocation', in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 1635 - 1639, http://dx.doi.org/10.1109/ICASSP.2014.6853875
    Conference Papers | 2014
    Demirel O; Smal I; Niessen WJ; Meijering E; Sbalzarini IF, 2014, 'PPF - A parallel particle filtering library', in IET Conference Publications, http://dx.doi.org/10.1049/cp.2014.0529
    Conference Papers | 2014
    Demirel O; Smal I; Niessen WJ; Meijering E; Sbalzarini IF, 2014, 'Piecewise constant sequential importance sampling for fast particle filtering', in IET Conference Publications, http://dx.doi.org/10.1049/cp.2014.0528
    Conference Papers | 2014
    Radojević M; Smal I; Niessen W; Meijering E, 2014, 'Fuzzy logic based detection of neuron bifurcations in microscopy images', in 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014, pp. 1307 - 1310, http://dx.doi.org/10.1109/isbi.2014.6868117
    Preprints | 2013
    Demirel Ö; Smal I; Niessen W; Meijering E; Sbalzarini IF, 2013, Adaptive Distributed Resampling Algorithm with Non-Proportional Allocation, http://arxiv.org/abs/1310.4624v3
    Preprints | 2013
    Demirel Ö; Smal I; Niessen W; Meijering E; Sbalzarini IF, 2013, PPF - A Parallel Particle Filtering Library, http://arxiv.org/abs/1310.5045v2
    Preprints | 2013
    Demirel Ö; Smal I; Niessen WJ; Meijering E; Sbalzarini IF, 2013, Piecewise Constant Sequential Importance Sampling for Fast Particle Filtering, http://arxiv.org/abs/1310.5541v3
    Conference Papers | 2013
    Plenge E; Poot DHJ; Niessen WJ; Meijering E, 2013, 'Super-resolution reconstruction using cross-scale self-similarity in multi-slice MRI', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 123 - 130, http://dx.doi.org/10.1007/978-3-642-40760-4_16
    Conference Papers | 2012
    Khmelinskii A; Plenge E; Kok P; Dzyubachyk O; Poot DHJ; Suidgeest E; Botha CP; Niessen WJ; Van Der Weerd L; Meijering E; Lelieveldt BPF, 2012, 'Super-resolution reconstruction of whole-body MRI mouse data: An interactive approach', in Proceedings - International Symposium on Biomedical Imaging, pp. 1723 - 1726, http://dx.doi.org/10.1109/ISBI.2012.6235912
    Conference Papers | 2012
    Meijering E, 2012, 'RECONSTRUCTION AND QUANTIFICATION OF NEURONAL MORPHOLOGY', in 2012 9TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI), IEEE, SPAIN, Barcelona, pp. 1787 - 1787, presented at 9th IEEE International Symposium on Biomedical Imaging (ISBI) - From Nano to Macro, SPAIN, Barcelona, 02 May 2012 - 05 May 2012, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000312384100460&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
    Conference Papers | 2012
    Plenge E; Poot DHJ; Bernsen M; Kotek G; Houston G; Wielopolski P; Van Der Weerd L; Niessen WJ; Meijering E, 2012, 'Super-resolution reconstruction in MRI: Better images faster?', in Progress in Biomedical Optics and Imaging - Proceedings of SPIE, http://dx.doi.org/10.1117/12.911235
    Conference Papers | 2011
    Carranza N; Smal I; Dzyubachyk O; Niessen W; Meijering E, 2011, 'Automated lineage tree reconstruction from Caenorhabditis elegans image data using particle filtering based cell tracking', in Proceedings - International Symposium on Biomedical Imaging, pp. 1921 - 1924, http://dx.doi.org/10.1109/ISBI.2011.5872785
    Conference Papers | 2011
    Smal I; Carranza-Herrezuelo N; Klein S; Niessen W; Meijering E, 2011, 'Quantitative comparison of tracking methods for motion analysis in tagged MRI', in Proceedings - International Symposium on Biomedical Imaging, pp. 345 - 348, http://dx.doi.org/10.1109/ISBI.2011.5872420
    Conference Papers | 2011
    Smal I; Carranza-Herrezuelo N; Klein S; Niessen W; Meijering E, 2011, 'Trans-dimensional MCMC methods for fully automatic motion analysis in tagged MRI', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 573 - 580, http://dx.doi.org/10.1007/978-3-642-23623-5_72
    Conference Papers | 2011
    Smal I; Carranza-Herrezuelo N; Klein S; Niessen W; Meijering E, 2011, 'Trans-dimensional MCMC methods for fully automatic motion analysis in tagged MRI', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 573 - 580, http://dx.doi.org/10.1007/978-3-642-23623-5_72
    Conference Papers | 2010
    Niessen W; Meijering E, 2010, '2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings: Welcome', in 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings, http://dx.doi.org/10.1109/ISBI.2010.5490277
    Conference Papers | 2010
    Smal I; Niessen W; Meijering E, 2010, 'Particle filtering methods for motion analysis in tagged MRI', in 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings, pp. 488 - 491, http://dx.doi.org/10.1109/ISBI.2010.5490302
    Conference Papers | 2009
    Dzyubachyk O; Jelier R; Lehner B; Niessen W; Meijering E, 2009, 'Model-based approach for tracking embryogenesis in Caenorhabditis elegans fluorescence microscopy data', in Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009, pp. 5356 - 5359, http://dx.doi.org/10.1109/IEMBS.2009.5334046
    Conference Papers | 2009
    Dzyubachyk O; Van Cappellen WA; Essers J; Niessen W; Meijering E, 2009, 'Energy minimization methods for cell motion correction and intracellular analysis in live-cell fluorescence microscopy', in Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009, pp. 1127 - 1130, http://dx.doi.org/10.1109/ISBI.2009.5193255
    Conference Papers | 2009
    Smal I; Grigoriev I; Akhmanova A; Niessen WJ; Meijering E, 2009, 'Accurate estimation of microtubule dynamics using kymographs and variable-rate particle filters', in Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009, pp. 1012 - 1015, http://dx.doi.org/10.1109/IEMBS.2009.5333350
    Conference Papers | 2009
    Smal I; Loog M; Niessen W; Meijering E, 2009, 'Quantitative comparison of spot detection methods in live-cell fluorescence microscopy imaging', in Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009, pp. 1178 - 1181, http://dx.doi.org/10.1109/ISBI.2009.5193268
    Conference Papers | 2008
    Dzyubachyk O; Niessen W; Meijering E, 2008, 'Advanced level-set based multiple-cell segmentation and tracking in time-lapse fluorescence microscopy images', in 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI, pp. 185 - 188, http://dx.doi.org/10.1109/ISBI.2008.4540963
    Conference Papers | 2008
    Smal I; Niessen W; Meijering E, 2008, 'A new detection scheme for multiple object tracking in fluorescence microscopy by joint probabilistic data association filtering', in 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI, pp. 264 - 267, http://dx.doi.org/10.1109/ISBI.2008.4540983
    Conference Papers | 2007
    Dzyubachyk O; Niessen W; Meijering E, 2007, 'A variational model for level-set based cell tracking in time-lapse fluorescence microscopy images', in 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings, pp. 97 - 100, http://dx.doi.org/10.1109/ISBI.2007.356797
    Conference Papers | 2007
    Smal I; Draegestein K; Galjart N; Niessen W; Meijering E, 2007, 'Rao-blackwellized marginal particle filtering for multiple object tracking in molecular bioimaging', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 110 - 121, http://dx.doi.org/10.1007/978-3-540-73273-0_10
    Conference Papers | 2007
    Smal I; Niessen W; Meijering E, 2007, 'Advanced particle filtering for multiple object tracking in dynamic fluorescence microscopy images', in 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings, pp. 1048 - 1051, http://dx.doi.org/10.1109/ISBI.2007.357035
    Conference Papers | 2006
    Kovačević J; Meijering E, 2006, '2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings: Welcome', in 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings
    Conference Papers | 2006
    Smal I; Niessen W; Meijering E, 2006, 'Bayesian tracking for fluorescence microscopic imaging', in 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings, pp. 550 - 553
    Conference Papers | 2006
    Smal I; Niessen W; Meijering E, 2006, 'Particle filtering for multiple object tracking in molecular cell biology', in NSSPW - Nonlinear Statistical Signal Processing Workshop 2006, http://dx.doi.org/10.1109/NSSPW.2006.4378836
    Conference Papers | 2004
    Gratama Van Andel HAF; Meijering E; Van Der Lugt A; Vrooman HA; Stokking R, 2004, 'VAMPIRE: Improved method for automated center lumen line definition in atherosclerotic carotid arteries in CTA data', in Lecture Notes in Computer Science, pp. 525 - 532
    Conference Papers | 2004
    Meijering E; Jacob M; Sarria JCF; Steiner P; Hirling H; Unser M, 2004, 'Neurite tracing in fluorescence microscopy images using ridge filtering and graph searching: Principles and validation', in 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano, pp. 1219 - 1222
    Conference Papers | 2003
    Meijering E; Jacob M; Sarria JCF; Unser M, 2003, 'A novel approach to neurite tracing in fluorescence microscopy images', in Proceedings of the IASTED International Conference on Signal and Image Processing, pp. 491 - 495
    Conference Papers | 2002
    Meijering E; Niessen W; Weickert J; Viergever M, 2002, 'Diffusion-enhanced visualization and quantification of vascular anomalies in three-dimensional rotational angiography: Results of an in-vitro evaluation', in Medical Image Analysis, pp. 215 - 233, http://dx.doi.org/10.1016/S1361-8415(02)00081-6
    Conference Papers | 2001
    Meijering E; Niessen W; Weickert J; Viergever M, 2001, 'Evaluation of diffusion techniques for improved vessel visualization and quantification in three-dimensional rotational angiography', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 177 - 185, http://dx.doi.org/10.1007/3-540-45468-3_22
    Conference Papers | 2000
    Baert SAM; Niessen WJ; Meijering EHW; Frangi AF; Viergever MA, 2000, 'Guide wire tracking during endovascular interventions', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 727 - 734, http://dx.doi.org/10.1007/978-3-540-40899-4_75
    Conference Papers | 2000
    Baert SAM; Niessen WJ; Meijering EHW; Frangi AF; Viergever MA, 2000, 'Guide wire tracking in interventional radiology', in Lemke HU; Vannier MW; Inamura K; Farman AG; Doi K (eds.), CARS 2000: COMPUTER ASSISTED RADIOLOGY AND SURGERY, ELSEVIER SCIENCE BV, CA, SAN FRANCISCO, pp. 537 - 542, presented at 14th International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS 2000), CA, SAN FRANCISCO, 28 June 2000 - 01 July 2000, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000165685600090&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
    Conference Papers | 2000
    Meijering EHW, 2000, 'Spline interpolation in medical imaging: Comparison with other convolution-based approaches', in European Signal Processing Conference
    Conference Papers | 1999
    Meijering EHW; Niessen WJ; Pluim JPW; Viergever MA, 1999, 'Quantitative comparison of sinc-approximating kernels for medical image interpolation', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 210 - 218, http://dx.doi.org/10.1007/10704282_23
    Conference Papers | 1999
    Meijering EHW; Niessen WJ; Viergever MA, 1999, 'Piecewise polynomial kernels for image interpolation: A generalization of cubic convolution', in IEEE International Conference on Image Processing, pp. 647 - 651
    Conference Papers | 1999
    Meijering EHW; Niessen WJ; Viergever MA, 1999, 'Sinc-approximating kernels of classical polynomial interpolation', in IEEE International Conference on Image Processing, pp. 652 - 656
    Conference Papers | 1999
    Meijering EHW; Zuiderveld KJ; Niessen WJ; Viergever MA, 1999, 'Fast image registration technique for motion artifact reduction in DSA', in IEEE International Conference on Image Processing, pp. 435 - 439
    Conference Papers | 1998
    Maintz JBA; Meijering EH; Viergever MA, 1998, 'General multimodal elastic registration based on mutual information', in Proceedings of SPIE - The International Society for Optical Engineering, pp. 144 - 154, http://dx.doi.org/10.1117/12.310845
    Conference Papers | 1998
    Meijering EHW; Zuiderveld KJ; Viergever MA, 1998, 'A fast technique for motion correction in DAS using a feature-based, irregular grid', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 590 - 597, http://dx.doi.org/10.1007/bfb0056244
    Conference Papers |
    Kovacevic J; Meijering E, 'Welcome', in 3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, 2006., IEEE, pp. iii - iii, presented at 3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, 2006., http://dx.doi.org/10.1109/isbi.2006.1624830