collaborators

5 papers

eess.IV2025

crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023

Navodini Wijethilake, Reuben Dorent, Marina Ivory +39

The cross-Modality Domain Adaptation (crossMoDA) challenge series, initiated in 2021 in conjunction with the International Conference on Medical Image Computing and Computer Assist…

cs.CV2025

All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages

Ashmal Vayani, Dinura Dissanayake, Hasindri Watawana +66

Existing Large Multimodal Models (LMMs) generally focus on only a few regions and languages. As LMMs continue to improve, it is increasingly important to ensure they understand cul…

cs.CV2025

MedMerge: Merging Models for Effective Transfer Learning to Medical Imaging Tasks

Ibrahim Almakky, Santosh Sanjeev, Anees Ur Rehman Hashmi +3

Transfer learning has become a powerful tool to initialize deep learning models to achieve faster convergence and higher performance. This is especially useful in the medical imagi…

eess.IV2024

XReal: Realistic Anatomy and Pathology-Aware X-ray Generation via Controllable Diffusion Model

Anees Ur Rehman Hashmi, Ibrahim Almakky, Mohammad Areeb Qazi +4

Large-scale generative models have demonstrated impressive capabilities in producing visually compelling images, with increasing applications in medical imaging. However, they cont…

cs.CV2024

Continual Learning in Medical Imaging: A Survey and Practical Analysis

Mohammad Areeb Qazi, Anees Ur Rehman Hashmi, Santosh Sanjeev +4

Deep Learning has shown great success in reshaping medical imaging, yet it faces numerous challenges hindering widespread application. Issues like catastrophic forgetting and distr…