Konstantinos Kamnitsas

113 papers A* 6A 2Journal 65Unranked 34

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FedExIT - missing class-agnostic semi-supervised federated learning with extreme imbalance tackling scheme. Inf. Fusion Pramit Saha, Divyanshu Mishra, Felix Wagner, Konstantinos Kamnitsas, J. Alison Noble
2026	J	`jnl`	IterMask3D: Unsupervised anomaly detection and segmentation with test-time iterative mask refinement in 3D brain MRI. Medical Image Anal. Ziyun Liang, Xiaoqing Guo, Wentian Xu, Yasin Ibrahim, Natalie Voets, Pieter M. Pretorius, J. Alison Noble, Konstantinos Kamnitsas
2026	J	`jnl`	The Invisible Gorilla Effect in Out-of-distribution Detection. CoRR Harry Anthony, Ziyun Liang, Hermione Warr, Konstantinos Kamnitsas
2025	J	`jnl`	Continuous Online Adaptation Driven by User Interaction for Medical Image Segmentation. CoRR Wentian Xu, Ziyun Liang, Harry Anthony, Yasin Ibrahim, Felix Cohen, Guang Yang, Daniel Whitehouse, David K. Menon, Virginia F. J. Newcombe, Konstantinos Kamnitsas
2025	J	`jnl`	DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging. CoRR Felix Wagner, Pramit Saha, Harry Anthony, J. Alison Noble, Konstantinos Kamnitsas
2025	A*	`conf`	F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics. CVPR Pramit Saha, Felix Wagner, Divyanshu Mishra, Can Peng, Anshul Thakur, David A. Clifton, Konstantinos Kamnitsas, J. Alison Noble
2025	A	`conf`	Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities. WACV Felix Wagner, Wentian Xu, Pramit Saha, Ziyun Liang, Daniel Whitehouse, David K. Menon, Virginia F. J. Newcombe, Natalie Voets, J. Alison Noble, Konstantinos Kamnitsas
2025	A*	`conf`	FedPIA - Permuting and Integrating Adapters Leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning. AAAI Pramit Saha, Divyanshu Mishra, Felix Wagner, Konstantinos Kamnitsas, J. Alison Noble
2025	A*	`conf`	Incongruent Multimodal Federated Learning for Medical Vision and Language-based Multi-label Disease Detection. AAAI Pramit Saha, Divyanshu Mishra, Felix Wagner, Konstantinos Kamnitsas, J. Alison Noble
2025	J	`jnl`	IterMask3D: Unsupervised Anomaly Detection and Segmentation with Test-Time Iterative Mask Refinement in 3D Brain MR. CoRR Ziyun Liang, Xiaoqing Guo, Wentian Xu, Yasin Ibrahim, Natalie Voets, Pieter M. Pretorius, J. Alison Noble, Konstantinos Kamnitsas
2025	J	`jnl`	Modality-Agnostic Input Channels Enable Segmentation of Brain lesions in Multimodal MRI with Sequences Unavailable During Training. CoRR Anthony P. Addison, Felix Wagner, Wentian Xu, Natalie Voets, Konstantinos Kamnitsas
2025	—	`conf`	Specialised or Generic? Tokenization Choices for Radiology Language Models. ELAMI@MICCAI Hermione Warr, Wentian Xu, Harry Anthony, Yasin Ibrahim, Daniel R. McGowan, Konstantinos Kamnitsas
2025	J	`jnl`	Specialised or Generic? Tokenization Choices for Radiology Language Models. CoRR Hermione Warr, Wentian Xu, Harry Anthony, Yasin Ibrahim, Daniel R. McGowan, Konstantinos Kamnitsas
2025	—	`conf`	Unsupervised Domain Adaptation via Content Alignment for Hippocampus Segmentation. ICCVW Hoda Kalabizadeh, Ludovica Griffanti, Pak-Hei Yeung, Ana I. L. Namburete, Nicola K. Dinsdale, Konstantinos Kamnitsas
2025	J	`jnl`	Unsupervised Domain Adaptation via Content Alignment for Hippocampus Segmentation. CoRR Hoda Kalabizadeh, Ludovica Griffanti, Pak-Hei Yeung, Ana I. L. Namburete, Nicola K. Dinsdale, Konstantinos Kamnitsas
2024	—	`conf`	$\mathrm {IterMask^2}$: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI. MICCAI (8) Ziyun Liang, Xiaoqing Guo, J. Alison Noble, Konstantinos Kamnitsas
2024	—	`conf`	An Organism Starts with a Single Pix-Cell: A Neural Cellular Diffusion for High-Resolution Image Synthesis. MICCAI (1) Marawan Elbatel, Konstantinos Kamnitsas, Xiaomeng Li
2024	J	`jnl`	An Organism Starts with a Single Pix-Cell: A Neural Cellular Diffusion for High-Resolution Image Synthesis. CoRR Marawan Elbatel, Konstantinos Kamnitsas, Xiaomeng Li
2024	J	`jnl`	As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks? CoRR Anjun Hu, Jindong Gu, Francesco Pinto, Konstantinos Kamnitsas, Philip Torr
2024	A	`conf`	As Firm As Their Foundations: Creating Transferable Adversarial Examples Across Downstream Tasks with CLIP. BMVC Anjun Hu, Jindong Gu, Francesco Pinto, Konstantinos Kamnitsas, Philip Torr
2024	—	`ed.`	Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, DART 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings DART@MICCAI Lisa M. Koch, M. Jorge Cardoso, Enzo Ferrante, Konstantinos Kamnitsas, Mobarakol Islam, Meirui Jiang, Nicola Rieke, Sotirios A. Tsaftaris, Dong Yang
2024	—	`conf`	Evaluating Reliability in Medical DNNs: A Critical Analysis of Feature and Confidence-Based OOD Detection. UNSURE@MICCAI Harry Anthony, Konstantinos Kamnitsas
2024	J	`jnl`	Evaluating Reliability in Medical DNNs: A Critical Analysis of Feature and Confidence-Based OOD Detection. CoRR Harry Anthony, Konstantinos Kamnitsas
2024	J	`jnl`	Examining Modality Incongruity in Multimodal Federated Learning for Medical Vision and Language-based Disease Detection. CoRR Pramit Saha, Divyanshu Mishra, Felix Wagner, Konstantinos Kamnitsas, J. Alison Noble
2024	J	`jnl`	F CoRR Pramit Saha, Felix Wagner, Divyanshu Mishra, Can Peng, Anshul Thakur, David A. Clifton, Konstantinos Kamnitsas, J. Alison Noble
2024	—	`conf`	Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation. MIDL 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
2024	J	`jnl`	Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation. CoRR 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
2024	J	`jnl`	Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities. CoRR Felix Wagner, Wentian Xu, Pramit Saha, Ziyun Liang, Daniel Whitehouse, David K. Menon, Natalie Voets, J. Alison Noble, Konstantinos Kamnitsas
2024	J	`jnl`	FedPIA - Permuting and Integrating Adapters leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning. CoRR Pramit Saha, Divyanshu Mishra, Felix Wagner, Konstantinos Kamnitsas, J. Alison Noble
2024	—	`conf`	Is Your Style Transfer Doing Anything Useful? An Investigation into Hippocampus Segmentation and the Role of Preprocessing. MLCN@MICCAI Hoda Kalabizadeh, Ludovica Griffanti, Pak-Hei Yeung, Natalie Voets, Grace Gillis, Clare Mackay, Ana I. L. Namburete, Nicola K. Dinsdale, Konstantinos Kamnitsas
2024	J	`jnl`	IterMask2: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI. CoRR Ziyun Liang, Xiaoqing Guo, J. Alison Noble, Konstantinos Kamnitsas
2024	—	`conf`	Quality Control for Radiology Report Generation Models via Auxiliary Auditing Components. UNSURE@MICCAI Hermione Warr, Yasin Ibrahim, Daniel R. McGowan, Konstantinos Kamnitsas
2024	J	`jnl`	Quality Control for Radiology Report Generation Models via Auxiliary Auditing Components. CoRR Hermione Warr, Yasin Ibrahim, Daniel R. McGowan, Konstantinos Kamnitsas
2024	J	`jnl`	SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation. CoRR Jiayuan Zhu, Junde Wu, Cheng Ouyang, Konstantinos Kamnitsas, Julia Alison Noble
2024	—	`conf`	Semi-Supervised Learning for Deep Causal Generative Models. MICCAI (12) Yasin Ibrahim, Hermione Warr, Konstantinos Kamnitsas
2024	J	`jnl`	Semi-Supervised Learning for Deep Causal Generative Models. CoRR Yasin Ibrahim, Hermione Warr, Konstantinos Kamnitsas
2023	J	`jnl`	Context Label Learning: Improving Background Class Representations in Semantic Segmentation. IEEE Trans. Medical Imaging Zeju Li, Konstantinos Kamnitsas, Cheng Ouyang, Chen Chen, Ben Glocker
2023	J	`jnl`	Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation. CoRR Zeju Li, Konstantinos Kamnitsas, Qi Dou, Chen Qin, Ben Glocker
2023	J	`jnl`	Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation. IEEE Trans. Medical Imaging Zeju Li, Konstantinos Kamnitsas, Qi Dou, Chen Qin, Ben Glocker
2023	—	`conf`	Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI Ziyun Liang, Harry Anthony, Felix Wagner, Konstantinos Kamnitsas
2023	J	`jnl`	Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI. CoRR Ziyun Liang, Harry Anthony, Felix Wagner, Konstantinos Kamnitsas
2023	—	`conf`	On the Use of Mahalanobis Distance for Out-of-distribution Detection with Neural Networks for Medical Imaging. UNSURE@MICCAI Harry Anthony, Konstantinos Kamnitsas
2023	J	`jnl`	On the use of Mahalanobis distance for out-of-distribution detection with neural networks for medical imaging. CoRR Harry Anthony, Konstantinos Kamnitsas
2023	—	`conf`	Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment. MLMI@MICCAI (2) Felix Wagner, Zeju Li, Pramit Saha, Konstantinos Kamnitsas
2023	J	`jnl`	Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment. CoRR Felix Wagner, Zeju Li, Pramit Saha, Konstantinos Kamnitsas
2022	J	`jnl`	Context Label Learning: Improving Background Class Representations in Semantic Segmentation. CoRR Zeju Li, Konstantinos Kamnitsas, Cheng Ouyang, Chen Chen, Ben Glocker
2022	J	`jnl`	Distributional Gaussian Processes Layers for Out-of-Distribution Detection. CoRR Sebastian G. Popescu, David J. Sharp, James H. Cole, Konstantinos Kamnitsas, Ben Glocker
2022	—	`ed.`	Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, DART 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings DART@MICCAI Konstantinos Kamnitsas, Lisa M. Koch, Mobarakol Islam, Ziyue Xu, Manuel Jorge Cardoso, Qi Dou, Nicola Rieke, Sotirios A. Tsaftaris
2022	—	`conf`	Estimating Model Performance Under Domain Shifts with Class-Specific Confidence Scores. MICCAI (8) Zeju Li, Konstantinos Kamnitsas, Mobarakol Islam, Chen Chen, Ben Glocker
2022	J	`jnl`	Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores. CoRR Zeju Li, Konstantinos Kamnitsas, Mobarakol Islam, Chen Chen, Ben Glocker
2021	J	`jnl`	Analyzing Overfitting Under Class Imbalance in Neural Networks for Image Segmentation. IEEE Trans. Medical Imaging Zeju Li, Konstantinos Kamnitsas, Ben Glocker
2021	J	`jnl`	Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation. CoRR Zeju Li, Konstantinos Kamnitsas, Ben Glocker
2021	—	`conf`	Confidence-Based Out-of-Distribution Detection: A Comparative Study and Analysis. UNSURE/PIPPI@MICCAI Christoph Berger, Magdalini Paschali, Ben Glocker, Konstantinos Kamnitsas
2021	J	`jnl`	Confidence-based Out-of-Distribution Detection: A Comparative Study and Analysis. CoRR Christoph Berger, Magdalini Paschali, Ben Glocker, Konstantinos Kamnitsas
2021	—	`conf`	Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation. IPMI Sebastian G. Popescu, David J. Sharp, James H. Cole, Konstantinos Kamnitsas, Ben Glocker
2021	J	`jnl`	Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation. CoRR Sebastian G. Popescu, David J. Sharp, James H. Cole, Konstantinos Kamnitsas, Ben Glocker
2021	—	`ed.`	Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health - Third MICCAI Workshop, DART 2021, and First MICCAI Workshop, FAIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings DART/FAIR@MICCAI Shadi Albarqouni, Manuel Jorge Cardoso, Qi Dou, Konstantinos Kamnitsas, Bishesh Khanal, Islem Rekik, Nicola Rieke, Debdoot Sheet, Sotirios A. Tsaftaris, Daguang Xu, Ziyue Xu
2021	—	`conf`	Learning from Partially Overlapping Labels: Image Segmentation Under Annotation Shift. DART/FAIR@MICCAI Gregory Filbrandt, Konstantinos Kamnitsas, David Bernstein, Alexandra Taylor, Ben Glocker
2021	J	`jnl`	Learning from Partially Overlapping Labels: Image Segmentation under Annotation Shift. CoRR Gregory Filbrandt, Konstantinos Kamnitsas, David Bernstein, Alexandra Taylor, Ben Glocker
2021	—	`conf`	Transductive Image Segmentation: Self-training and Effect of Uncertainty Estimation. DART/FAIR@MICCAI 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
2021	J	`jnl`	Transductive image segmentation: Self-training and effect of uncertainty estimation. CoRR 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	—	`conf`	A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling. MIDL 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
2020	—	`—`	Advancing efficiency and robustness of neural networks for imaging. Konstantinos Kamnitsas
2020	—	`ed.`	Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning - Second MICCAI Workshop, DART 2020, and First MICCAI Workshop, DCL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings DART/DCL@MICCAI Shadi Albarqouni, Spyridon Bakas, Konstantinos Kamnitsas, M. Jorge Cardoso, Bennett A. Landman, Wenqi Li, Fausto Milletari, Nicola Rieke, Holger Roth, Daguang Xu, Ziyue Xu
2020	J	`jnl`	Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models. IEEE Trans. Medical Imaging 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
2020	—	`conf`	Image-Level Harmonization of Multi-site Data Using Image-and-Spatial Transformer Networks. MICCAI (7) Robert Robinson, Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Marius de Groot, Ronald M. Summers, Daniel Rueckert, Ben Glocker
2020	J	`jnl`	Image-level Harmonization of Multi-Site Data using Image-and-Spatial Transformer Networks. CoRR Robert Robinson, Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Marius de Groot, Ronald M. Summers, Daniel Rueckert, Benjamin M. Glocker
2020	A*	`conf`	Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty. NeurIPS Miguel Monteiro, Loïc Le Folgoc, Daniel Coelho de Castro, Nick Pawlowski, Bernardo Marques, Konstantinos Kamnitsas, Mark van der Wilk, Ben Glocker
2020	J	`jnl`	Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty. CoRR Miguel Monteiro, Loïc Le Folgoc, Daniel Coelho de Castro, Nick Pawlowski, Bernardo Marques, Konstantinos Kamnitsas, Mark van der Wilk, Ben Glocker
2019	—	`conf`	Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing. IPMI Loïc Le Folgoc, Daniel Coelho de Castro, Jeremy Tan, Bishesh Khanal, Konstantinos Kamnitsas, Ian Walker, Amir Alansary, Ben Glocker
2019	J	`jnl`	Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing. CoRR Loïc Le Folgoc, Daniel Coelho de Castro, Jeremy Tan, Bishesh Khanal, Konstantinos Kamnitsas, Ian Walker, Amir Alansary, Ben Glocker
2019	—	`conf`	Data Efficient Unsupervised Domain Adaptation For Cross-modality Image Segmentation. MICCAI (2) Cheng Ouyang, Konstantinos Kamnitsas, Carlo Biffi, Jinming Duan, Daniel Rueckert
2019	J	`jnl`	Data Efficient Unsupervised Domain Adaptation for Cross-Modality Image Segmentation. CoRR Cheng Ouyang, Konstantinos Kamnitsas, Carlo Biffi, Jinming Duan, Daniel Rueckert
2019	—	`ed.`	Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data - First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings DART/MIL3ID@MICCAI Qian Wang, Fausto Milletari, Hien Van Nguyen, Shadi Albarqouni, M. Jorge Cardoso, Nicola Rieke, Ziyue Xu, Konstantinos Kamnitsas, Vishal Patel, Badri Roysam, Steve B. Jiang, S. Kevin Zhou, Khoa Luu, Ngan Le
2019	A*	`conf`	Domain Generalization via Model-Agnostic Learning of Semantic Features. NeurIPS Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Ben Glocker
2019	J	`jnl`	Domain Generalization via Model-Agnostic Learning of Semantic Features. CoRR Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Ben Glocker
2019	J	`jnl`	Evaluating reinforcement learning agents for anatomical landmark detection. Medical Image Anal. Amir Alansary, Ozan Oktay, Yuanwei Li, Loïc Le Folgoc, Benjamin Hou, Ghislain Vaillant, Konstantinos Kamnitsas, Athanasios Vlontzos, Ben Glocker, Bernhard Kainz, Daniel Rueckert
2019	J	`jnl`	Explainable Shape Analysis through Deep Hierarchical Generative Models: Application to Cardiac Remodeling. CoRR 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
2019	—	`conf`	Multiple Landmark Detection Using Multi-agent Reinforcement Learning. MICCAI (4) Athanasios Vlontzos, Amir Alansary, Konstantinos Kamnitsas, Daniel Rueckert, Bernhard Kainz
2019	J	`jnl`	Multiple Landmark Detection using Multi-Agent Reinforcement Learning. CoRR Athanasios Vlontzos, Amir Alansary, Konstantinos Kamnitsas, Daniel Rueckert, Bernhard Kainz
2019	—	`conf`	Overfitting of Neural Nets Under Class Imbalance: Analysis and Improvements for Segmentation. MICCAI (3) Zeju Li, Konstantinos Kamnitsas, Ben Glocker
2019	J	`jnl`	Overfitting of neural nets under class imbalance: Analysis and improvements for segmentation. CoRR Zeju Li, Konstantinos Kamnitsas, Ben Glocker
2019	—	`conf`	TBI Lesion Segmentation in Head CT: Impact of Preprocessing and Data Augmentation. BrainLes@MICCAI (1) 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
2018	J	`jnl`	Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation. IEEE Trans. Medical Imaging 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
2018	—	`conf`	Autofocus Layer for Semantic Segmentation. MICCAI (3) Yao Qin, Konstantinos Kamnitsas, Siddharth Ancha, Jay Nanavati, Garrison W. Cottrell, Antonio Criminisi, Aditya V. Nori
2018	J	`jnl`	Autofocus Layer for Semantic Segmentation. CoRR Yao Qin, Konstantinos Kamnitsas, Siddharth Ancha, Jay Nanavati, Garrison W. Cottrell, Antonio Criminisi, Aditya V. Nori
2018	—	`conf`	Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents. MICCAI (1) Amir Alansary, Loïc 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	J	`jnl`	Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents. CoRR 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
2018	J	`jnl`	Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy. CoRR Vanya V. Valindria, Ioannis Lavdas, Wenjia Bai, Konstantinos Kamnitsas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker
2018	J	`jnl`	Generative adversarial networks and adversarial methods in biomedical image analysis. CoRR Jelmer M. Wolterink, Konstantinos Kamnitsas, Christian Ledig, Ivana Isgum
2018	A*	`conf`	Semi-Supervised Learning via Compact Latent Space Clustering. ICML Konstantinos Kamnitsas, Daniel Coelho de Castro, Loïc Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya V. Nori
2018	J	`jnl`	Semi-Supervised Learning via Compact Latent Space Clustering. CoRR Konstantinos Kamnitsas, Daniel Coelho de Castro, Loïc Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya V. Nori
2018	J	`jnl`	Towards continual learning in medical imaging. CoRR Chaitanya Baweja, Ben Glocker, Konstantinos Kamnitsas
2017	J	`jnl`	Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation. CoRR 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
2017	—	`conf`	Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging. CMMI/RAMBO/SWITCH@MICCAI Steven McDonagh, Benjamin Hou, Amir Alansary, Ozan Oktay, Konstantinos Kamnitsas, Mary A. Rutherford, Joseph V. Hajnal, Bernhard Kainz
2017	J	`jnl`	Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging. CoRR Steven G. McDonagh, Benjamin Hou, Konstantinos Kamnitsas, Ozan Oktay, Amir Alansary, Mary A. Rutherford, Joseph V. Hajnal, Bernhard Kainz
2017	J	`jnl`	DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks. IEEE Trans. Medical Imaging 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
2017	J	`jnl`	Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation. Medical Image Anal. Konstantinos Kamnitsas, Christian Ledig, Virginia F. J. Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Daniel Rueckert, Ben Glocker
2017	—	`conf`	Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation. BrainLes@MICCAI 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	J	`jnl`	Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation. CoRR 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
2017	J	`jnl`	Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth. CoRR Vanya V. Valindria, Ioannis Lavdas, Wenjia Bai, Konstantinos Kamnitsas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker
2017	J	`jnl`	Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth. IEEE Trans. Medical Imaging Vanya V. Valindria, Ioannis Lavdas, Wenjia Bai, Konstantinos Kamnitsas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker
2017	J	`jnl`	SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound. IEEE Trans. Medical Imaging Christian F. Baumgartner, Konstantinos Kamnitsas, Jacqueline Matthew, Tara P. Fletcher, Sandra Smith, Lisa M. Koch, Bernhard Kainz, Daniel Rueckert
2017	—	`conf`	Unsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial Networks. IPMI 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
2016	J	`jnl`	DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks. CoRR Martin Rajchl, Matthew C. H. Lee, Ozan Oktay, Konstantinos Kamnitsas, Jonathan Passerat-Palmbach, Wenjia Bai, Bernhard Kainz, Daniel Rueckert
2016	—	`conf`	DeepMedic for Brain Tumor Segmentation. BrainLes@MICCAI Konstantinos Kamnitsas, Enzo Ferrante, Sarah Parisot, Christian Ledig, Aditya V. Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker
2016	J	`jnl`	Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation. CoRR Konstantinos Kamnitsas, Christian Ledig, Virginia F. J. Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Daniel Rueckert, Ben Glocker
2016	—	`conf`	Fast Fully Automatic Segmentation of the Human Placenta from Motion Corrupted MRI. MICCAI (2) 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	—	`conf`	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 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
2016	—	`conf`	Multi-input Cardiac Image Super-Resolution Using Convolutional Neural Networks. MICCAI (3) 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
2016	J	`jnl`	Real-Time Detection and Localisation of Fetal Standard Scan Planes in 2D Freehand Ultrasound. CoRR Christian F. Baumgartner, Konstantinos Kamnitsas, Jacqueline Matthew, Tara P. Fletcher, Sandra Smith, Lisa M. Koch, Bernhard Kainz, Daniel Rueckert
2016	—	`conf`	Real-Time Standard Scan Plane Detection and Localisation in Fetal Ultrasound Using Fully Convolutional Neural Networks. MICCAI (2) Christian F. Baumgartner, Konstantinos Kamnitsas, Jacqueline Matthew, Sandra Smith, Bernhard Kainz, Daniel Rueckert
2016	J	`jnl`	Unsupervised domain adaptation in brain lesion segmentation with adversarial networks. CoRR 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