Mr Daniel Al Mouiee
Conjoint Associate Lecturer

Mr Daniel Al Mouiee

Medicine & Health
School of Clinical Medicine

Daniel Al Mouiee is a radiotherapy computer scientist at the Ingham Institute Medical Physics group at Liverpool, Sydney. His role involves developing tools to optimise radiation therapy clinical procedures. He is also a PhD student researching federated learning in radiation therapy and oncology applications.

  • Journal articles | 2023
    Aly F; Hansen CR; Al Mouiee D; Sundaresan P; Haidar A; Vinod S; Holloway L, 2023, 'Outcome prediction models incorporating clinical variables for Head and Neck Squamous cell Carcinoma: A systematic review of methodological conduct and risk of bias', Radiotherapy and Oncology, 183, http://dx.doi.org/10.1016/j.radonc.2023.109629
    Journal articles | 2023
    Haidar A; Field M; Batumalai V; Cloak K; Al Mouiee D; Chlap P; Huang X; Chin V; Aly F; Carolan M; Sykes J; Vinod SK; Delaney GP; Holloway L, 2023, 'Standardising Breast Radiotherapy Structure Naming Conventions: A Machine Learning Approach', Cancers, 15, http://dx.doi.org/10.3390/cancers15030564
    Journal articles | 2022
    Dinarvand M; Koch FC; Mouiee DA; Vuong K; Vijayan A; Tanzim AF; Azad AKM; Penesyan A; Castaño-Rodríguez N; Vafaee F, 2022, 'dRNASb: a systems biology approach to decipher dynamics of host-pathogen interactions using temporal dual RNA-seq data', Microbial Genomics, 8, http://dx.doi.org/10.1099/mgen.0.000862
    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
  • Preprints | 2022
    Dinarvand M; Kock F; Al Mouiee D; Vuong K; Vijayan A; Tanzim AF; Azad AKM; Penesyan A; Castaño-Rodríguez N; Vafaee F, 2022, dSeqSb: A systems biology approach to decipher dynamics of host-pathogen interactions using temporal dual RNA-seq data, , http://dx.doi.org/10.1101/2022.02.28.482417
    Conference Abstracts | 2022
    Haidar A; Field M; Batumalai V; Cloak K; Al Mouiee D; Chlap P; Huang X; Chin V; Carolan M; Sykes J; Vinod S; Delaney G; Holloway L, 2022, 'Standardising Nomenclatures in Breast Radiotherapy Imaging Data using Machine Learning Algorithms', in RADIOTHERAPY AND ONCOLOGY, ELSEVIER IRELAND LTD, Vol. 170, pp. S1406 - S1407, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000806779900438&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1