Konstantinos Kamnitsas
Konstantinos Kamnitsas
Associate Professor of Biomedical Imaging @ University of Oxford
Verified email at - Homepage
Cited by
Cited by
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation
K Kamnitsas, C Ledig, VFJ Newcombe, JP Simpson, AD Kane, DK Menon, ...
Medical Image Analysis 36, 61--78, 2016
Traumatic brain injury: integrated approaches to improve prevention, clinical care, and research
AIR Maas, DK Menon, PD Adelson, N Andelic, MJ Bell, A Belli, P Bragge, ...
The Lancet Neurology 16 (12), 987-1048, 2017
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
S Bakas, B Menze, M Reyes, et al
arXiv preprint arXiv:1811.02629, 2018
Anatomically constrained neural networks (ACNNs): application to cardiac image enhancement and segmentation
O Oktay, E Ferrante, K Kamnitsas, M Heinrich, W Bai, J Caballero, ...
IEEE transactions on medical imaging 37 (2), 384-395, 2017
Domain generalization via model-agnostic learning of semantic features
Q Dou, D Coelho de Castro, K Kamnitsas, B Glocker
Advances in neural information processing systems 32, 2019
Unsupervised domain adaptation in brain lesion segmentation with adversarial networks
K Kamnitsas, C Baumgartner, C Ledig, VFJ Newcombe, JP Simpson, ...
Information Processing in Medical Imaging (Erbsmann Prize Runner-Up), 597--609, 2017
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation
K Kamnitsas, W Bai, E Ferrante, S McDonagh, M Sinclair, N Pawlowski, ...
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018
ISLES 2015-A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI
O Maier, BH Menze, J Von der Gablentz, L Häni, MP Heinrich, M Liebrand, ...
Medical image analysis 35, 250-269, 2017
Deepcut: Object segmentation from bounding box annotations using convolutional neural networks
M Rajchl, MCH Lee, O Oktay, K Kamnitsas, J Passerat-Palmbach, W Bai, ...
IEEE transactions on medical imaging 36 (2), 674-683, 2016
DeepMedic for Brain Tumor Segmentation
K Kamnitsas, E Ferrante, S Parisot, C Ledig, A Nori, A Criminisi, ...
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2016
SonoNet: real-time detection and localisation of fetal standard scan planes in freehand ultrasound
CF Baumgartner, K Kamnitsas, J Matthew, TP Fletcher, S Smith, LM Koch, ...
IEEE transactions on medical imaging 36 (11), 2204-2215, 2017
Multi-input cardiac image super-resolution using convolutional neural networks
O Oktay, W Bai, M Lee, R Guerrero, K Kamnitsas, J Caballero, ...
Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th …, 2016
Evaluating reinforcement learning agents for anatomical landmark detection
A Alansary, O Oktay, Y Li, L Le Folgoc, B Hou, G Vaillant, K Kamnitsas, ...
Medical image analysis 53, 156-164, 2019
Federated learning enables big data for rare cancer boundary detection
S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ...
Nature communications 13 (1), 7346, 2022
Multi-scale 3D convolutional neural networks for lesion segmentation in brain MRI
K Kamnitsas, L Chen, C Ledig, D Rueckert, B Glocker
Ischemic Stroke Lesion Segmentation - MICCAI, 13--16, 2015
Reverse classification accuracy: predicting segmentation performance in the absence of ground truth
VV Valindria, I Lavdas, W Bai, K Kamnitsas, EO Aboagye, AG Rockall, ...
IEEE transactions on medical imaging 36 (8), 1597-1606, 2017
Autofocus Layer for Semantic Segmentation
Y Qin, K Kamnitsas, S Ancha, J Nanavati, G Cottrell, A Criminisi, A Nori
International Conference on Medical Image Computing and Computer-Assisted …, 2018
Variation in monitoring and treatment policies for intracranial hypertension in traumatic brain injury: a survey in 66 neurotrauma centers participating in the CENTER-TBI study
MC Cnossen, JA Huijben, M Van der Jagt, V Volovici, T Van Essen, ...
Critical Care 21, 1-12, 2017
Analyzing overfitting under class imbalance in neural networks for image segmentation
Z Li, K Kamnitsas, B Glocker
IEEE transactions on medical imaging 40 (3), 1065-1077, 2020
Data efficient unsupervised domain adaptation for cross-modality image segmentation
C Ouyang, K Kamnitsas, C Biffi, J Duan, D Rueckert
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
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