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Behnaz Elhaminia
Behnaz Elhaminia
Research Fellow at the Tissue Image Analytics (TIA) Centre, University of Warwick
Verified email at warwick.ac.uk
Title
Cited by
Cited by
Year
Deep learning for radiotherapy outcome prediction using dose data–a review
AL Appelt, B Elhaminia, A Gooya, A Gilbert, M Nix
Clinical Oncology 34 (2), e87-e96, 2022
442022
A probabilistic framework for copy-move forgery detection based on Markov Random Field
B Elhaminia, A Harati, A Taherinia
Multimedia Tools and Applications 78, 25591-25609, 2019
162019
Toxicity prediction in pelvic radiotherapy using multiple instance learning and cascaded attention layers
B Elhaminia, A Gilbert, J Lilley, M Abdar, AF Frangi, A Scarsbrook, ...
IEEE Journal of Biomedical and Health Informatics 27 (4), 1958-1966, 2023
32023
Deep learning with visual explanation for radiotherapy-induced toxicity prediction
B Elhaminia, A Gilbert, AF Frangi, A Scarsbrook, J Lilley, A Appelt, ...
Medical Imaging 2023: Computer-Aided Diagnosis 12465, 445-450, 2023
2023
Machine learning for outcome prediction after pelvic radiotherapy
B Elhaminia
University of Leeds, 2023
2023
Deep learning combining imaging, dose and clinical data for predicting bowel toxicity after pelvic radiotherapy
B Elhaminia, A Gilbert, A Scarsbrook, J Lilley, A Appelt, A Gooya
Physics and Imaging in Radiation Oncology, 0
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