I'm a final-year PhD candidate at the University of Oxford. My research focuses on advancing Computer Vision for Medical Imaging, with a special interest in making AI models more reliable and adaptable for real-world healthcare challenges.
Before starting my PhD, I completed my Master's and Bachelor's degrees at Vienna University of Technology (TU Wien) and was a visiting student at the University of Illinois at Urbana-Champaign (UIUC) 🇺🇸🌽.
- Federated Learning
- Test-Time Adaptation
- Multi-Modal Models
- Parameter-Efficient Fine-Tuning
- Out-of-Distribution Detection
- 3D Segmentation
Here are some of my recent publications. For a full list, please see my Google Scholar.
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Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities
Felix Wagner, Wentian Xu, Pramit Saha, Ziyun Liang, Daniel Whitehouse, David Menon, Virginia Newcombe, Natalie Voets, J Alison Noble, Konstantinos Kamnitsas
Accepted for an Oral Presentation at WACV 2025 Code below 👇 - 📄 Paper
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F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics
Pramit Saha, Felix Wagner, Divyanshu Mishra, Can Peng, Anshul Thakur, David Clifton, Konstantinos Kamnitsas, J Alison Noble
Accepted at CVPR 2025 (Highlights) 📄 Paper