| 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 | 3741 | 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 | 2342 | 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 | 2052 | 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 | 823 | 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 | 768 | 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 | 585 | 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 | 580 | 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 | 531 | 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 | 480 | 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 | 426 | 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 | 375 | 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 | 286 | 2016 |
| 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 | 207 | 2022 |
| 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 | 201 | 2019 |
| 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 | 171 | 2015 |
| 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 | 148 | 2020 |
| 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 | 147 | 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 | 140 | 2018 |
| Multiclass semantic segmentation and quantification of traumatic brain injury lesions on head CT using deep learning: an algorithm development and multicentre validation study M Monteiro, VFJ Newcombe, F Mathieu, K Adatia, K Kamnitsas, ... The Lancet Digital Health 2 (6), e314-e322, 2020 | 137 | 2020 |
| 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 | 131 | 2017 |
