Kamnitsas, Konstantinos

10 publications

NeurIPS 2025 DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging Felix Wagner, Pramit Saha, Harry Anthony, Alison Noble, Konstantinos Kamnitsas

CVPR 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

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

AAAI 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

AAAI 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

ICCV 2025 SPA: Efficient User-Preference Alignment Against Uncertainty in Medical Image Segmentation Jiayuan Zhu, Junde Wu, Cheng Ouyang, Konstantinos Kamnitsas, J. Alison Noble

MIDL 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 Menon, Virginia Newcombe, Natalie Voets, Abhirup Banerjee, Konstantinos Kamnitsas

NeurIPS 2020 Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty Miguel Monteiro, Loic Le Folgoc, Daniel Coelho de Castro, Nick Pawlowski, Bernardo Marques, Konstantinos Kamnitsas, Mark van der Wilk, Ben Glocker

NeurIPS 2019 Domain Generalization via Model-Agnostic Learning of Semantic Features Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Ben Glocker

ICML 2018 Semi-Supervised Learning via Compact Latent Space Clustering Konstantinos Kamnitsas, Daniel Castro, Loic Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya Nori