Felix Wagner

According to our database, Felix Wagner authored at least 13 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

FedExIT - missing class-agnostic semi-supervised federated learning with extreme imbalance tackling scheme.

Pramit Saha, Divyanshu Mishra, Felix Wagner, Konstantinos Kamnitsas, J. Alison Noble

Inf. Fusion, 2026

2025

Modality-Agnostic Input Channels Enable Segmentation of Brain lesions in Multimodal MRI with Sequences Unavailable During Training.

Anthony P. Addison, Felix Wagner, Wentian Xu, Natalie Voets, Konstantinos Kamnitsas

CoRR, September, 2025

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 K. Menon, Virginia F. J. Newcombe, Natalie Voets, J. Alison Noble, Konstantinos Kamnitsas

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging.

Felix Wagner, Pramit Saha, Harry Anthony, J. Alison Noble, Konstantinos Kamnitsas

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 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, Divyanshu Mishra, Can Peng, Anshul Thakur, David A. Clifton, Konstantinos Kamnitsas, J. Alison Noble

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Incongruent Multimodal Federated Learning for Medical Vision and Language-based Multi-label Disease Detection.

Pramit Saha, Divyanshu Mishra, Felix Wagner, Konstantinos Kamnitsas, J. Alison Noble

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

FedPIA - Permuting and Integrating Adapters Leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning.

Pramit Saha, Divyanshu Mishra, Felix Wagner, Konstantinos Kamnitsas, J. Alison Noble

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

F³OCUS - 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 A. Clifton, Konstantinos Kamnitsas, J. Alison Noble

CoRR, 2024

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 K. Menon, Natalie Voets, J. Alison Noble, Konstantinos Kamnitsas

CoRR, 2024

Examining Modality Incongruity in Multimodal Federated Learning for Medical Vision and Language-based Disease Detection.

Pramit Saha, Divyanshu Mishra, Felix Wagner, Konstantinos Kamnitsas, J. Alison Noble

CoRR, 2024

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, Daniel Whitehouse, David K. Menon, Virginia F. J. Newcombe, Natalie Voets, Abhirup Banerjee, Konstantinos Kamnitsas

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

2023

Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment.

Felix Wagner, Zeju Li, Pramit Saha, Konstantinos Kamnitsas

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI.

Ziyun Liang, Harry Anthony, Felix Wagner, Konstantinos Kamnitsas

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023