Multi-Modality Feature Transform: An Interactive Image Segmentation Approach. - Moustafa Meshry; Ahmed Taha 001; Marwan Torki (BMVC, 2015)

Seeded Laplacian: An interactive image segmentation approach using eigenfunctions. - Ahmed Taha 001; Marwan Torki (ICIP, 2015)

Seeded Laplaican: An Eigenfunction Solution for Scribble Based Interactive Image Segmentation. - Ahmed Taha 001; Marwan Torki (CoRR, 2017)

Texture Synthesis with Recurrent Variational Auto-Encoder. - Rohan Chandra; Sachin Grover; Kyungjun Lee 001; Moustafa Meshry; Ahmed Taha 001 (CoRR, 2017)

Segmentation of Renal Structures for Image-Guided Surgery. - Junning Li; Pechin Lo; Ahmed Taha 001; Hang Wu; Tao Zhao (MICCAI (4), 2018)

Kid-Net: Convolution Networks for Kidney Vessels Segmentation from CT-Volumes. - Ahmed Taha 001; Pechin Lo; Junning Li; Tao Zhao (MICCAI (4), 2018)

Two Stream Self-Supervised Learning for Action Recognition. - Ahmed Taha 001; Moustafa Meshry; Xitong Yang; Yi-Ting Chen 001; Larry Davis 001 (CoRR, 2018)

Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems. - Ahmed Taha 001; Yi-Ting Chen 001; Xitong Yang; Teruhisa Misu; Larry Davis 001 (CoRR, 2019)

In Defense of the Triplet Loss for Visual Recognition. - Ahmed Taha 001; Yi-Ting Chen 001; Teruhisa Misu; Larry Davis 001 (CoRR, 2019)

Unsupervised Data Uncertainty Learning in Visual Retrieval Systems. - Ahmed Taha 001; Yi-Ting Chen 001; Teruhisa Misu; Abhinav Shrivastava; Larry Davis 001 (CoRR, 2019)

A Generic Visualization Approach for Convolutional Neural Networks. - Ahmed Taha 001; Xitong Yang; Abhinav Shrivastava; Larry Davis 001 (ECCV (17), 2020)

Boosting Standard Classification Architectures Through a Ranking Regularizer. - Ahmed Taha 001; Yi-Ting Chen 001; Teruhisa Misu; Abhinav Shrivastava; Larry Davis 001 (WACV, 2020)

Knowledge Evolution in Neural Networks. - Ahmed Taha 001; Abhinav Shrivastava; Larry S. Davis (CVPR, 2021)

SVMax: A Feature Embedding Regularizer. - Ahmed Taha 001; Alex Hanson 002; Abhinav Shrivastava; Larry Davis 001 (CoRR, 2021)

Closing the Gap Between Classification and Retrieval Models. - Ahmed Taha 001 (2021)

Deep is a Luxury We Don't Have. - Ahmed Taha 001; Yen Nhi Truong Vu; Brent Mombourquette; Thomas Paul Matthews; Jason Su; Sadanand Singh (MICCAI (3), 2022)

M&M: Tackling False Positives in Mammography with a Multi-view and Multi-instance Learning Sparse Detector. - Yen Nhi Truong Vu; Dan Guo; Ahmed Taha 001; Jason Su; Thomas Paul Matthews (MICCAI (5), 2023)

Problems and shortcuts in deep learning for screening mammography. - Trevor Tsue; Brent Mombourquette; Ahmed Taha 001; Thomas Paul Matthews; Yen Nhi Truong Vu; Jason Su (CoRR, 2023)