Behnaz Elhaminia

According to our database, Behnaz Elhaminia authored at least 6 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Deep Learning Framework for Glomeruli Segmentation with Boundary Attention.

Behnaz Elhaminia, Catherine King, Jiaqi Lv, Lorraine Harper, Paul Moss, Owen Cain, Dimitrios Chanouzas, Shan-E-Ahmed Raza

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

CORE - A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment.

Esha Sadia Nasir, Behnaz Elhaminia, Mark Eastwood, Catherine King, Owen Cain, Lorraine Harper, Paul Moss, Dimitrios Chanouzas, David R. J. Snead, Nasir M. Rajpoot, Adam J. Shephard, Shan-E-Ahmed Raza

CoRR, November, 2025

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, February, 2025

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, April, 2023

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

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

2019

A probabilistic framework for copy-move forgery detection based on Markov Random Field.

Behnaz Elhaminia, Ahad Harati, Amirhossein Taherinia

Multim. Tools Appl., 2019