Konstantinos Kamnitsas
Konstantinos Kamnitsas
Verified email at ic.ac.uk
TitleCited byYear
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
9652016
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
2682017
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
1562017
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
1552017
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
1312017
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
1012018
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
932016
Multi-input cardiac image super-resolution using convolutional neural networks
O Oktay, W Bai, M Lee, R Guerrero, K Kamnitsas, J Caballero, ...
International conference on medical image computing and computer-assisted …, 2016
932016
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
892018
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
862016
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
792015
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
492017
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
362017
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), 233, 2017
262017
Real-time standard scan plane detection and localisation in fetal ultrasound using fully convolutional neural networks
CF Baumgartner, K Kamnitsas, J Matthew, S Smith, B Kainz, D Rueckert
International Conference on Medical Image Computing and Computer-Assisted …, 2016
262016
Fast fully automatic segmentation of the human placenta from motion corrupted MRI
A Alansary, K Kamnitsas, A Davidson, R Khlebnikov, M Rajchl, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2016
262016
Semi-Supervised Learning via Compact Latent Space Clustering
K Kamnitsas, DC Castro, LL Folgoc, I Walker, R Tanno, D Rueckert, ...
International Conference on Machine Learning (ICML), 2018
172018
Fully automatic, multiorgan segmentation in normal whole body magnetic resonance imaging (MRI), using classification forests (CF s), convolutional neural networks (CNN s), and …
I Lavdas, B Glocker, K Kamnitsas, D Rueckert, H Mair, A Sandhu, ...
Medical physics 44 (10), 5210-5220, 2017
152017
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
122019
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
122018
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