4 papers
FedKPer: Tackling Generalization and Personalization in Medical Federated Learning via Knowledge Personalization
Zoe Fowler, Ghassan AlRegib
Federated learning (FL) holds great potential for medical applications. However, statistical heterogeneity across healthcare institutions poses a major challenge for FL, as the glo…
Benchmarking Human and Automated Prompting in the Segment Anything Model
Jorge Quesada, Zoe Fowler, Mohammad Alotaibi +2
The remarkable capabilities of the Segment Anything Model (SAM) for tackling image segmentation tasks in an intuitive and interactive manner has sparked interest in the design of e…
Ophthalmic Biomarker Detection: Highlights from the IEEE Video and Image Processing Cup 2023 Student Competition
Ghassan AlRegib, Mohit Prabhushankar, Kiran Kokilepersaud +5
The VIP Cup offers a unique experience to undergraduates, allowing students to work together to solve challenging, real-world problems with video and image processing techniques. I…
Clinical Trial Active Learning
Zoe Fowler, Kiran Kokilepersaud, Mohit Prabhushankar +1
This paper presents a novel approach to active learning that takes into account the non-independent and identically distributed (non-i.i.d.) structure of a clinical trial setting.…