Konstantinos Kamnitsas

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 80

Top Topics

Gaussian Process

Reinforcement Learning Agents

Convolutional Neural Networks

Image Segmentation

Top Venues

IEEE Trans. Medical Imaging

Publications

Ziyun Liang, Xiaoqing Guo, J. Alison Noble, Konstantinos Kamnitsas
IterMask2: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI. CoRR (2024)
Anjun Hu, Jindong Gu, Francesco Pinto, Konstantinos Kamnitsas, Philip H. S. Torr
As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks? CoRR (2024)
Pramit Saha, Divyanshu Mishra, Felix Wagner, Konstantinos Kamnitsas, J. Alison Noble
Examining Modality Incongruity in Multimodal Federated Learning for Medical Vision and Language-based Disease Detection. CoRR (2024)
Yasin Ibrahim, Hermione Warr, Konstantinos Kamnitsas
Semi-Supervised Learning for Deep Causal Generative Models. CoRR (2024)
Hermione Warr, Yasin Ibrahim, Daniel R. McGowan, Konstantinos Kamnitsas
Quality Control for Radiology Report Generation Models via Auxiliary Auditing Components. CoRR (2024)
Marawan Elbatel, Konstantinos Kamnitsas, Xiaomeng Li
An Organism Starts with a Single Pix-Cell: A Neural Cellular Diffusion for High-Resolution Image Synthesis. CoRR (2024)
Felix Wagner, Wentian Xu, Pramit Saha, Ziyun Liang, Daniel Whitehouse, David K. Menon, Natalie Voets, J. Alison Noble, Konstantinos Kamnitsas
Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities. CoRR (2024)
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
Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation. CoRR (2024)
Felix Wagner, Zeju Li, Pramit Saha, Konstantinos Kamnitsas
Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment. MLMI@MICCAI (2) (2023)
Felix Wagner, Zeju Li, Pramit Saha, Konstantinos Kamnitsas
Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment. CoRR (2023)
Zeju Li, Konstantinos Kamnitsas, Qi Dou, Chen Qin, Ben Glocker
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation. IEEE Trans. Medical Imaging 42 (11) (2023)
Ziyun Liang, Harry Anthony, Felix Wagner, Konstantinos Kamnitsas
Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI (2023)
Zeju Li, Konstantinos Kamnitsas, Qi Dou, Chen Qin, Ben Glocker
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation. CoRR (2023)
Zeju Li, Konstantinos Kamnitsas, Cheng Ouyang, Chen Chen, Ben Glocker
Context Label Learning: Improving Background Class Representations in Semantic Segmentation. IEEE Trans. Medical Imaging 42 (6) (2023)
Harry Anthony, Konstantinos Kamnitsas
On the Use of Mahalanobis Distance for Out-of-distribution Detection with Neural Networks for Medical Imaging. UNSURE@MICCAI (2023)
Ziyun Liang, Harry Anthony, Felix Wagner, Konstantinos Kamnitsas
Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI. CoRR (2023)
Harry Anthony, Konstantinos Kamnitsas
On the use of Mahalanobis distance for out-of-distribution detection with neural networks for medical imaging. CoRR (2023)
Sebastian G. Popescu, David J. Sharp, James H. Cole, Konstantinos Kamnitsas, Ben Glocker
Distributional Gaussian Processes Layers for Out-of-Distribution Detection. CoRR (2022)
Zeju Li, Konstantinos Kamnitsas, Mobarakol Islam, Chen Chen, Ben Glocker
Estimating Model Performance Under Domain Shifts with Class-Specific Confidence Scores. MICCAI (8) (2022)
Zeju Li, Konstantinos Kamnitsas, Cheng Ouyang, Chen Chen, Ben Glocker
Context Label Learning: Improving Background Class Representations in Semantic Segmentation. CoRR (2022)
Zeju Li, Konstantinos Kamnitsas, Mobarakol Islam, Chen Chen, Ben Glocker
Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores. CoRR (2022)
Sebastian G. Popescu, David J. Sharp, James H. Cole, Konstantinos Kamnitsas, Ben Glocker
Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation. CoRR (2021)
Christoph Berger, Magdalini Paschali, Ben Glocker, Konstantinos Kamnitsas
Confidence-Based Out-of-Distribution Detection: A Comparative Study and Analysis. UNSURE/PIPPI@MICCAI (2021)
Sebastian G. Popescu, David J. Sharp, James H. Cole, Konstantinos Kamnitsas, Ben Glocker
Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation. IPMI (2021)
Zeju Li, Konstantinos Kamnitsas, Ben Glocker
Analyzing Overfitting Under Class Imbalance in Neural Networks for Image Segmentation. IEEE Trans. Medical Imaging 40 (3) (2021)
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
Transductive Image Segmentation: Self-training and Effect of Uncertainty Estimation. DART/FAIR@MICCAI (2021)
Gregory Filbrandt, Konstantinos Kamnitsas, David Bernstein, Alexandra Taylor, Ben Glocker
Learning from Partially Overlapping Labels: Image Segmentation under Annotation Shift. CoRR (2021)
Zeju Li, Konstantinos Kamnitsas, Ben Glocker
Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation. CoRR (2021)
Gregory Filbrandt, Konstantinos Kamnitsas, David Bernstein, Alexandra Taylor, Ben Glocker
Learning from Partially Overlapping Labels: Image Segmentation Under Annotation Shift. DART/FAIR@MICCAI (2021)
Christoph Berger, Magdalini Paschali, Ben Glocker, Konstantinos Kamnitsas
Confidence-based Out-of-Distribution Detection: A Comparative Study and Analysis. CoRR (2021)
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
Transductive image segmentation: Self-training and effect of uncertainty estimation. CoRR (2021)
Miguel Monteiro, Loïc Le Folgoc, Daniel Coelho de Castro, Nick Pawlowski, Bernardo Marques, Konstantinos Kamnitsas, Mark van der Wilk, Ben Glocker
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty. NeurIPS (2020)
Robert Robinson, Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Marius de Groot, Ronald M. Summers, Daniel Rueckert, Benjamin M. Glocker
Image-level Harmonization of Multi-Site Data using Image-and-Spatial Transformer Networks. CoRR (2020)
Carlo Biffi, Juan J. Cerrolaza, Giacomo Tarroni, Wenjia Bai, Antonio de Marvao, Ozan Oktay, Christian Ledig, Loïc Le Folgoc, Konstantinos Kamnitsas, Georgia Doumou, Jinming Duan, Sanjay K. Prasad, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert
Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models. IEEE Trans. Medical Imaging 39 (6) (2020)
Ahmed E. Fetit, Amir Alansary, Lucilio Cordero-Grande, John Cupitt, Alice B. Davidson, A. David Edwards, Joseph V. Hajnal, Emer J. Hughes, Konstantinos Kamnitsas, Vanessa Kyriakopoulou, Antonios Makropoulos, Prachi A. Patkee, Anthony N. Price, Mary A. Rutherford, Daniel Rueckert
A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling. MIDL (2020)
Miguel Monteiro, Loïc Le Folgoc, Daniel Coelho de Castro, Nick Pawlowski, Bernardo Marques, Konstantinos Kamnitsas, Mark van der Wilk, Ben Glocker
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty. CoRR (2020)
Robert Robinson, Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Marius de Groot, Ronald M. Summers, Daniel Rueckert, Ben Glocker
Image-Level Harmonization of Multi-site Data Using Image-and-Spatial Transformer Networks. MICCAI (7) (2020)
Cheng Ouyang, Konstantinos Kamnitsas, Carlo Biffi, Jinming Duan, Daniel Rueckert
Data Efficient Unsupervised Domain Adaptation For Cross-modality Image Segmentation. MICCAI (2) (2019)
Carlo Biffi, Juan J. Cerrolaza, Giacomo Tarroni, Wenjia Bai, Ozan Oktay, Loïc Le Folgoc, Konstantinos Kamnitsas, Antonio de Marvao, Georgia Doumou, Jinming Duan, Sanjay K. Prasad, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert
Explainable Shape Analysis through Deep Hierarchical Generative Models: Application to Cardiac Remodeling. CoRR (2019)
Cheng Ouyang, Konstantinos Kamnitsas, Carlo Biffi, Jinming Duan, Daniel Rueckert
Data Efficient Unsupervised Domain Adaptation for Cross-Modality Image Segmentation. CoRR (2019)
Loïc Le Folgoc, Daniel Coelho de Castro, Jeremy Tan, Bishesh Khanal, Konstantinos Kamnitsas, Ian Walker, Amir Alansary, Ben Glocker
Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing. IPMI (2019)
Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Ben Glocker
Domain Generalization via Model-Agnostic Learning of Semantic Features. CoRR (2019)
Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Ben Glocker
Domain Generalization via Model-Agnostic Learning of Semantic Features. NeurIPS (2019)
Loïc Le Folgoc, Daniel Coelho de Castro, Jeremy Tan, Bishesh Khanal, Konstantinos Kamnitsas, Ian Walker, Amir Alansary, Ben Glocker
Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing. CoRR (2019)
Miguel Monteiro, Konstantinos Kamnitsas, Enzo Ferrante, Francois Mathieu, Steven McDonagh, Sam Cook, Susan Stevenson, Tilak Das, Aneesh Khetani, Tom Newman, Fred Zeiler, Richard Digby, Jonathan P. Coles, Daniel Rueckert, David K. Menon, Virginia F. J. Newcombe, Ben Glocker
TBI Lesion Segmentation in Head CT: Impact of Preprocessing and Data Augmentation. BrainLes@MICCAI (1) (2019)
Zeju Li, Konstantinos Kamnitsas, Ben Glocker
Overfitting of neural nets under class imbalance: Analysis and improvements for segmentation. CoRR (2019)
Amir Alansary, Ozan Oktay, Yuanwei Li, Loïc Le Folgoc, Benjamin Hou, Ghislain Vaillant, Konstantinos Kamnitsas, Athanasios Vlontzos, Ben Glocker, Bernhard Kainz, Daniel Rueckert
Evaluating reinforcement learning agents for anatomical landmark detection. Medical Image Anal. 53 (2019)
Zeju Li, Konstantinos Kamnitsas, Ben Glocker
Overfitting of Neural Nets Under Class Imbalance: Analysis and Improvements for Segmentation. MICCAI (3) (2019)
Athanasios Vlontzos, Amir Alansary, Konstantinos Kamnitsas, Daniel Rueckert, Bernhard Kainz
Multiple Landmark Detection Using Multi-agent Reinforcement Learning. MICCAI (4) (2019)
Athanasios Vlontzos, Amir Alansary, Konstantinos Kamnitsas, Daniel Rueckert, Bernhard Kainz
Multiple Landmark Detection using Multi-Agent Reinforcement Learning. CoRR (2019)
Vanya V. Valindria, Ioannis Lavdas, Wenjia Bai, Konstantinos Kamnitsas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker
Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy. CoRR (2018)
Yao Qin, Konstantinos Kamnitsas, Siddharth Ancha, Jay Nanavati, Garrison W. Cottrell, Antonio Criminisi, Aditya V. Nori
Autofocus Layer for Semantic Segmentation. MICCAI (3) (2018)
Ozan Oktay, Enzo Ferrante, Konstantinos Kamnitsas, Mattias P. Heinrich, Wenjia Bai, Jose Caballero, Stuart A. Cook, Antonio de Marvao, Timothy Dawes, Declan P. O'Regan, Bernhard Kainz, Ben Glocker, Daniel Rueckert
Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation. IEEE Trans. Medical Imaging 37 (2) (2018)
Chaitanya Baweja, Ben Glocker, Konstantinos Kamnitsas
Towards continual learning in medical imaging. CoRR (2018)
Jelmer M. Wolterink, Konstantinos Kamnitsas, Christian Ledig, Ivana Isgum
Generative adversarial networks and adversarial methods in biomedical image analysis. CoRR (2018)
Amir Alansary, Loïc Le Folgoc, Ghislain Vaillant, Ozan Oktay, Yuanwei Li, Wenjia Bai, Jonathan Passerat-Palmbach, Ricardo Guerrero, Konstantinos Kamnitsas, Benjamin Hou, Steven G. McDonagh, Ben Glocker, Bernhard Kainz, Daniel Rueckert
Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents. CoRR (2018)
Amir Alansary, Loïc Le Folgoc, Ghislain Vaillant, Ozan Oktay, Yuanwei Li, Wenjia Bai, Jonathan Passerat-Palmbach, Ricardo Guerrero, Konstantinos Kamnitsas, Benjamin Hou, Steven G. McDonagh, Ben Glocker, Bernhard Kainz, Daniel Rueckert
Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents. MICCAI (1) (2018)
Konstantinos Kamnitsas, Daniel Coelho de Castro, Loïc Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya V. Nori
Semi-Supervised Learning via Compact Latent Space Clustering. CoRR (2018)
Konstantinos Kamnitsas, Daniel Coelho de Castro, Loïc Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya V. Nori
Semi-Supervised Learning via Compact Latent Space Clustering. ICML (2018)
Yao Qin, Konstantinos Kamnitsas, Siddharth Ancha, Jay Nanavati, Garrison W. Cottrell, Antonio Criminisi, Aditya V. Nori
Autofocus Layer for Semantic Segmentation. CoRR (2018)
Konstantinos Kamnitsas, Wenjia Bai, Enzo Ferrante, Steven G. McDonagh, Matthew Sinclair, Nick Pawlowski, Martin Rajchl, Matthew C. H. Lee, Bernhard Kainz, Daniel Rueckert, Ben Glocker
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation. CoRR (2017)
Steven G. McDonagh, Benjamin Hou, Amir Alansary, Ozan Oktay, Konstantinos Kamnitsas, Mary A. Rutherford, Joseph V. Hajnal, Bernhard Kainz
Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging. CMMI/RAMBO/SWITCH@MICCAI (2017)
Christian F. Baumgartner, Konstantinos Kamnitsas, Jacqueline Matthew, Tara P. Fletcher, Sandra Smith, Lisa M. Koch, Bernhard Kainz, Daniel Rueckert
SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound. IEEE Trans. Medical Imaging 36 (11) (2017)
Konstantinos Kamnitsas, Christian F. Baumgartner, Christian Ledig, Virginia F. J. Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Aditya V. Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker
Unsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial Networks. IPMI (2017)
Konstantinos Kamnitsas, Christian Ledig, Virginia F. J. Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Daniel Rueckert, Ben Glocker
Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation. Medical Image Anal. 36 (2017)
Vanya V. Valindria, Ioannis Lavdas, Wenjia Bai, Konstantinos Kamnitsas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth. CoRR (2017)
Ozan Oktay, Enzo Ferrante, Konstantinos Kamnitsas, Mattias P. Heinrich, Wenjia Bai, Jose Caballero, Ricardo Guerrero, Stuart A. Cook, Antonio de Marvao, Timothy Dawes, Declan P. O'Regan, Bernhard Kainz, Ben Glocker, Daniel Rueckert
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation. CoRR (2017)
Martin Rajchl, Matthew C. H. Lee, Ozan Oktay, Konstantinos Kamnitsas, Jonathan Passerat-Palmbach, Wenjia Bai, Mellisa Damodaram, Mary A. Rutherford, Joseph V. Hajnal, Bernhard Kainz, Daniel Rueckert
DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks. IEEE Trans. Medical Imaging 36 (2) (2017)
Vanya V. Valindria, Ioannis Lavdas, Wenjia Bai, Konstantinos Kamnitsas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth. IEEE Trans. Medical Imaging 36 (8) (2017)
Konstantinos Kamnitsas, Wenjia Bai, Enzo Ferrante, Steven G. McDonagh, Matthew Sinclair, Nick Pawlowski, Martin Rajchl, Matthew C. H. Lee, Bernhard Kainz, Daniel Rueckert, Ben Glocker
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation. BrainLes@MICCAI (2017)
Steven G. McDonagh, Benjamin Hou, Konstantinos Kamnitsas, Ozan Oktay, Amir Alansary, Mary A. Rutherford, Joseph V. Hajnal, Bernhard Kainz
Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging. CoRR (2017)
Konstantinos Kamnitsas, Enzo Ferrante, Sarah Parisot, Christian Ledig, Aditya V. Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker
DeepMedic for Brain Tumor Segmentation. BrainLes@MICCAI (2016)
Christian F. Baumgartner, Konstantinos Kamnitsas, Jacqueline Matthew, Sandra Smith, Bernhard Kainz, Daniel Rueckert
Real-Time Standard Scan Plane Detection and Localisation in Fetal Ultrasound Using Fully Convolutional Neural Networks. MICCAI (2) (2016)
Archontis Giannakidis, Konstantinos Kamnitsas, Veronica Spadotto, Jennifer Keegan, Gillian Smith, Ben Glocker, Daniel Rueckert, Sabine Ernst, Michael A. Gatzoulis, Dudley J. Pennell, Sonya Babu-Narayan, David N. Firmin
Fast Fully Automatic Segmentation of the Severely Abnormal Human Right Ventricle from Cardiovascular Magnetic Resonance Images Using a Multi-Scale 3D Convolutional Neural Network. SITIS (2016)
Martin Rajchl, Matthew C. H. Lee, Ozan Oktay, Konstantinos Kamnitsas, Jonathan Passerat-Palmbach, Wenjia Bai, Bernhard Kainz, Daniel Rueckert
DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks. CoRR (2016)
Christian F. Baumgartner, Konstantinos Kamnitsas, Jacqueline Matthew, Tara P. Fletcher, Sandra Smith, Lisa M. Koch, Bernhard Kainz, Daniel Rueckert
Real-Time Detection and Localisation of Fetal Standard Scan Planes in 2D Freehand Ultrasound. CoRR (2016)
Konstantinos Kamnitsas, Christian Ledig, Virginia F. J. Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Daniel Rueckert, Ben Glocker
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation. CoRR (2016)
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
Multi-input Cardiac Image Super-Resolution Using Convolutional Neural Networks. MICCAI (3) (2016)
Konstantinos Kamnitsas, Christian F. Baumgartner, Christian Ledig, Virginia F. J. Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Aditya V. Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker
Unsupervised domain adaptation in brain lesion segmentation with adversarial networks. CoRR (2016)
Amir Alansary, Konstantinos Kamnitsas, Alice Davidson, Rostislav Khlebnikov, Martin Rajchl, Christina Malamateniou, Mary A. Rutherford, Joseph V. Hajnal, Ben Glocker, Daniel Rueckert, Bernhard Kainz
Fast Fully Automatic Segmentation of the Human Placenta from Motion Corrupted MRI. MICCAI (2) (2016)