Konstantinos Kamnitsas
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
33
Venues
7
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
33 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | 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 |
| 2025 | AAAI | 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 |
| 2025 | CVPR | 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 |
| 2025 | ICCV | Unsupervised Domain Adaptation via Content Alignment for Hippocampus Segmentation. | Hoda Kalabizadeh, Ludovica Griffanti, Pak-Hei Yeung, Ana I. L. Namburete, Nicola K. Dinsdale, Konstantinos Kamnitsas |
| 2025 | ICCV | SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation. | Jiayuan Zhu, Junde Wu, Cheng Ouyang, Konstantinos Kamnitsas, J. Alison Noble |
| 2025 | MICCAI | Specialised or Generic? Tokenization Choices for Radiology Language Models. | Hermione Warr, Wentian Xu, Harry Anthony, Yasin Ibrahim, Daniel R. McGowan, Konstantinos Kamnitsas |
| 2025 | WACV | 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 |
| 2024 | BMVC | As Firm As Their Foundations: Creating Transferable Adversarial Examples Across Downstream Tasks with CLIP. | Anjun Hu, Jindong Gu, Francesco Pinto, Konstantinos Kamnitsas, Philip Torr |
| 2024 | MICCAI | Evaluating Reliability in Medical DNNs: A Critical Analysis of Feature and Confidence-Based OOD Detection. | Harry Anthony, Konstantinos Kamnitsas |
| 2024 | MICCAI | An Organism Starts with a Single Pix-Cell: A Neural Cellular Diffusion for High-Resolution Image Synthesis. | Marawan Elbatel, Konstantinos Kamnitsas, Xiaomeng Li |
| 2024 | MICCAI | Semi-Supervised Learning for Deep Causal Generative Models. | Yasin Ibrahim, Hermione Warr, Konstantinos Kamnitsas |
| 2024 | MICCAI | Is Your Style Transfer Doing Anything Useful? An Investigation into Hippocampus Segmentation and the Role of Preprocessing. | Hoda Kalabizadeh, Ludovica Griffanti, Pak-Hei Yeung, Natalie Voets, Grace Gillis, Clare Mackay, Ana I. L. Namburete, Nicola K. Dinsdale, Konstantinos Kamnitsas |
| 2024 | MICCAI | $\mathrm {IterMask^2}$: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI. | Ziyun Liang, Xiaoqing Guo, J. Alison Noble, Konstantinos Kamnitsas |
| 2024 | MICCAI | Quality Control for Radiology Report Generation Models via Auxiliary Auditing Components. | Hermione Warr, Yasin Ibrahim, Daniel R. McGowan, Konstantinos Kamnitsas |
| 2023 | MICCAI | On the Use of Mahalanobis Distance for Out-of-distribution Detection with Neural Networks for Medical Imaging. | Harry Anthony, Konstantinos Kamnitsas |
| 2023 | MICCAI | Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI. | Ziyun Liang, Harry Anthony, Felix Wagner, Konstantinos Kamnitsas |
| 2022 | MICCAI | Estimating Model Performance Under Domain Shifts with Class-Specific Confidence Scores. | Zeju Li, Konstantinos Kamnitsas, Mobarakol Islam, Chen Chen, Ben Glocker |
| 2021 | MICCAI | Confidence-Based Out-of-Distribution Detection: A Comparative Study and Analysis. | Christoph Berger, Magdalini Paschali, Ben Glocker, Konstantinos Kamnitsas |
| 2021 | MICCAI | Learning from Partially Overlapping Labels: Image Segmentation Under Annotation Shift. | Gregory Filbrandt, Konstantinos Kamnitsas, David Bernstein, Alexandra Taylor, Ben Glocker |
| 2021 | MICCAI | Transductive Image Segmentation: Self-training and Effect of Uncertainty Estimation. | Konstantinos Kamnitsas, Stefan Winzeck, Evgenios N. Kornaropoulos, Daniel Whitehouse, Cameron Englman, Poe Phyu, Norman Pao, David K. Menon, Daniel Rueckert, Tilak Das, Virginia F. J. Newcombe, Ben Glocker |
| 2020 | MICCAI | Image-Level Harmonization of Multi-site Data Using Image-and-Spatial Transformer Networks. | Robert Robinson, Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Marius de Groot, Ronald M. Summers, Daniel Rueckert, Ben Glocker |
| 2019 | MICCAI | Overfitting of Neural Nets Under Class Imbalance: Analysis and Improvements for Segmentation. | Zeju Li, Konstantinos Kamnitsas, Ben Glocker |
| 2019 | MICCAI | Data Efficient Unsupervised Domain Adaptation For Cross-modality Image Segmentation. | Cheng Ouyang, Konstantinos Kamnitsas, Carlo Biffi, Jinming Duan, Daniel Rueckert |
| 2019 | MICCAI | Multiple Landmark Detection Using Multi-agent Reinforcement Learning. | Athanasios Vlontzos, Amir Alansary, Konstantinos Kamnitsas, Daniel Rueckert, Bernhard Kainz |
| 2018 | ICML | Semi-Supervised Learning via Compact Latent Space Clustering. | Konstantinos Kamnitsas, Daniel Coelho de Castro, Loc Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya V. Nori |
| 2018 | MICCAI | Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents. | Amir Alansary, Loc Le Folgoc, Ghislain Vaillant, Ozan Oktay, Yuanwei Li, Wenjia Bai, Jonathan Passerat-Palmbach, Ricardo Guerrero, Konstantinos Kamnitsas, Benjamin Hou, Steven McDonagh, Ben Glocker, Bernhard Kainz, Daniel Rueckert |
| 2018 | MICCAI | Autofocus Layer for Semantic Segmentation. | Yao Qin, Konstantinos Kamnitsas, Siddharth Ancha, Jay Nanavati, Garrison W. Cottrell, Antonio Criminisi, Aditya V. Nori |
| 2017 | MICCAI | Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation. | Konstantinos Kamnitsas, Wenjia Bai, Enzo Ferrante, Steven McDonagh, Matthew Sinclair, Nick Pawlowski, Martin Rajchl, Matthew C. H. Lee, Bernhard Kainz, Daniel Rueckert, Ben Glocker |
| 2017 | MICCAI | Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging. | Steven McDonagh, Benjamin Hou, Amir Alansary, Ozan Oktay, Konstantinos Kamnitsas, Mary A. Rutherford, Joseph V. Hajnal, Bernhard Kainz |
| 2016 | MICCAI | Fast Fully Automatic Segmentation of the Human Placenta from Motion Corrupted MRI. | Amir Alansary, Konstantinos Kamnitsas, Alice Davidson, Rostislav Khlebnikov, Martin Rajchl, Christina Malamateniou, Mary A. Rutherford, Joseph V. Hajnal, Ben Glocker, Daniel Rueckert, Bernhard Kainz |
| 2016 | MICCAI | Real-Time Standard Scan Plane Detection and Localisation in Fetal Ultrasound Using Fully Convolutional Neural Networks. | Christian F. Baumgartner, Konstantinos Kamnitsas, Jacqueline Matthew, Sandra Smith, Bernhard Kainz, Daniel Rueckert |
| 2016 | MICCAI | DeepMedic for Brain Tumor Segmentation. | Konstantinos Kamnitsas, Enzo Ferrante, Sarah Parisot, Christian Ledig, Aditya V. Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker |
| 2016 | MICCAI | Multi-input Cardiac Image Super-Resolution Using Convolutional Neural Networks. | Ozan Oktay, Wenjia Bai, Matthew C. H. Lee, Ricardo Guerrero, Konstantinos Kamnitsas, Jose Caballero, Antonio de Marvao, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert |