A probabilistic framework for copy-move forgery detection based on Markov Random Field. - Behnaz Elhaminia; Ahad Harati; Amirhossein Taherinia (Multim. Tools Appl., 2019)

Deep learning with visual explanation for radiotherapy-induced toxicity prediction. - Behnaz Elhaminia; Alexandra Gilbert; Alejandro F. Frangi; Andrew F. Scarsbrook; John Lilley; Ane Appelt; Ali Gooya (Computer-Aided Diagnosis, 2023)

Toxicity Prediction in Pelvic Radiotherapy Using Multiple Instance Learning and Cascaded Attention Layers. - Behnaz Elhaminia; Alexandra Gilbert; John Lilley; Moloud Abdar; Alejandro F. Frangi; Andrew F. Scarsbrook; Ane Appelt; Ali Gooya (IEEE J. Biomed. Health Informatics, 2023)

From Traditional to Deep Learning Approaches in Whole Slide Image Registration: A Methodological Review. - Behnaz Elhaminia; Abdullah Alsalemi; Esha Nasir; Mostafa Jahanifar; Ruqayya Awan; Lawrence Young; Nasir M. Rajpoot; Fayyaz Minhas; Shan E Ahmed Raza (CoRR, 2025)