1 citations · 2 across the 4 of their papers we have counts for
5 papers
Event Detection in Videos: A Framework for the Development of New Methods
Anastasia Zakharova, Thierry Bouwmans, Anthony Cioppa +13
Event detection tasks in videos, the most important aspect of video surveillance, aim to detect events either at the pixel-level, frame-level, or clip-level. Plenty of methods inte…
MedDChest: A Content-Aware Multimodal Foundational Vision Model for Thoracic Imaging
Mahmoud Soliman, Islam Osman, Mohamed S. Shehata +1
The performance of vision models in medical imaging is often hindered by the prevailing paradigm of fine-tuning backbones pre-trained on out-of-domain natural images. To address th…
MedMAE: A Self-Supervised Backbone for Medical Imaging Tasks
Anubhav Gupta, Islam Osman, Mohamed S. Shehata +1
Medical imaging tasks are very challenging due to the lack of publicly available labeled datasets. Hence, it is difficult to achieve high performance with existing deep-learning mo…
Universal Medical Imaging Model for Domain Generalization with Data Privacy
Ahmed Radwan, Islam Osman, Mohamed S. Shehata
Achieving domain generalization in medical imaging poses a significant challenge, primarily due to the limited availability of publicly labeled datasets in this domain. This limita…
Lifelong Learning Using a Dynamically Growing Tree of Sub-networks for Domain Generalization in Video Object Segmentation
Islam Osman, Mohamed S. Shehata
Current state-of-the-art video object segmentation models have achieved great success using supervised learning with massive labeled training datasets. However, these models are tr…