TMN: An Efficient Robust Aggregator for Federated Learning. - Anees Ur Rehman Hashmi; Mohammed El-Amine Azz (MICAD, 2023)

Advanced Tumor Segmentation in Medical Imaging: An Ensemble Approach for BraTS 2023 Adult Glioma and Pediatric Tumor Tasks. - Fadillah A. Maani; Anees Ur Rehman Hashmi; Mariam Aljuboory; Numan Saeed; Ikboljon Sobirov; Mohammad Yaqub (BraTS/CrossMoDA@MICCAI, 2023)

Envisioning Medclip: A Deep Dive into Explainability for Medical Vision-Language Models. - Anees Ur Rehman Hashmi; Dwarikanath Mahapatra; Mohammad Yaqub (ISBI, 2024)

On Enhancing Brain Tumor Segmentation across Diverse Populations with Convolutional Neural Networks. - Fadillah Adamsyah Maani; Anees Ur Rehman Hashmi; Numan Saeed; Mohammad Yaqub (ISBI, 2024)

FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image Analysis. - Santosh Sanjeev; Nuren Zhaksylyk; Ibrahim Almakky; Anees Ur Rehman Hashmi; Mohammad Areeb Qazi; Mohammad Yaqub (MICCAI (12), 2024)

DynaMMo: Dynamic Model Merging for Efficient Class Incremental Learning for Medical Images. - Mohammad Areeb Qazi; Ibrahim Almakky; Anees Ur Rehman Hashmi; Santosh Sanjeev; Mohammad Yaqub (MIUA (1), 2024)

XReal: Realistic Anatomy and Pathology-Aware X-ray Generation via Controllable Diffusion Model. - Anees Ur Rehman Hashmi; Ibrahim Almakky; Mohammad Areeb Qazi; Santosh Sanjeev; Vijay Ram Papineni; Dwarikanath Mahapatra; Mohammad Yaqub (CoRR, 2024)

MedMerge: Merging Models for Effective Transfer Learning to Medical Imaging Tasks. - Ibrahim Almakky; Santosh Sanjeev; Anees Ur Rehman Hashmi; Mohammad Areeb Qazi; Mohammad Yaqub (CoRR, 2024)

Continual Learning in Medical Imaging from Theory to Practice: A Survey and Practical Analysis. - Mohammad Areeb Qazi; Anees Ur Rehman Hashmi; Santosh Sanjeev; Ibrahim Almakky; Numan Saeed; Mohammad Yaqub (CoRR, 2024)