Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI. - Ziyun Liang; Harry Anthony; Felix Wagner 001; Konstantinos Kamnitsas (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment. - Felix Wagner 001; Zeju Li; Pramit Saha; Konstantinos Kamnitsas (MLMI@MICCAI (2), 2023)

Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation. - Wentian Xu; Matthew Moffat; Thalia Seale; Ziyun Liang; Felix Wagner 001; Daniel Whitehouse; David K. Menon; Virginia F. J. Newcombe; Natalie Voets; Abhirup Banerjee; Konstantinos Kamnitsas (MIDL, 2024)

Examining Modality Incongruity in Multimodal Federated Learning for Medical Vision and Language-based Disease Detection. - Pramit Saha; Divyanshu Mishra; Felix Wagner 001; Konstantinos Kamnitsas; J. Alison Noble (CoRR, 2024)

Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities. - Felix Wagner 001; Wentian Xu; Pramit Saha; Ziyun Liang; Daniel Whitehouse; David K. Menon; Natalie Voets; J. Alison Noble; Konstantinos Kamnitsas (CoRR, 2024)

F3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics. - Pramit Saha; Felix Wagner 001; Divyanshu Mishra; Can Peng; Anshul Thakur; David A. Clifton; Konstantinos Kamnitsas; J. Alison Noble (CoRR, 2024)

FedPIA - Permuting and Integrating Adapters Leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning. - Pramit Saha; Divyanshu Mishra; Felix Wagner 001; Konstantinos Kamnitsas; J. Alison Noble (AAAI, 2025)

Incongruent Multimodal Federated Learning for Medical Vision and Language-based Multi-label Disease Detection. - Pramit Saha; Divyanshu Mishra; Felix Wagner 001; Konstantinos Kamnitsas; J. Alison Noble (AAAI, 2025)

F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics. - Pramit Saha; Felix Wagner 001; Divyanshu Mishra; Can Peng; Anshul Thakur; David A. Clifton; Konstantinos Kamnitsas; J. Alison Noble (CVPR, 2025)

Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities. - Felix Wagner 001; Wentian Xu; Pramit Saha; Ziyun Liang; Daniel Whitehouse; David K. Menon; Virginia F. J. Newcombe; Natalie Voets; J. Alison Noble; Konstantinos Kamnitsas (WACV, 2025)

DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging. - Felix Wagner 001; Pramit Saha; Harry Anthony; J. Alison Noble; Konstantinos Kamnitsas (CoRR, 2025)