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Martin Rajchl
Martin Rajchl
Research Fellow, Dept. of Computing, Imperial College London
Bestätigte E-Mail-Adresse bei imperial.ac.uk - Startseite
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Zitiert von
Zitiert von
Jahr
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
11402018
Automated cardiovascular magnetic resonance image analysis with fully convolutional networks
W Bai, M Sinclair, G Tarroni, O Oktay, M Rajchl, G Vaillant, AM Lee, ...
Journal of Cardiovascular Magnetic Resonance 20 (1), 1-12, 2018
4622018
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
4382018
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
3322016
Semi-supervised learning for network-based cardiac MR image segmentation
W Bai, O Oktay, M Sinclair, H Suzuki, M Rajchl, G Tarroni, B Glocker, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2017
2932017
MRBrainS challenge: online evaluation framework for brain image segmentation in 3T MRI scans
AM Mendrik, KL Vincken, HJ Kuijf, M Breeuwer, WH Bouvy, J De Bresser, ...
Computational intelligence and neuroscience 2015, 2015
2332015
Right ventricle segmentation from cardiac MRI: a collation study
C Petitjean, MA Zuluaga, W Bai, JN Dacher, D Grosgeorge, J Caudron, ...
Medical image analysis 19 (1), 187-202, 2015
2182015
Metric learning with spectral graph convolutions on brain connectivity networks
SI Ktena, S Parisot, E Ferrante, M Rajchl, M Lee, B Glocker, D Rueckert
NeuroImage 169, 431-442, 2018
2132018
Distance metric learning using graph convolutional networks: Application to functional brain networks
SI Ktena, S Parisot, E Ferrante, M Rajchl, M Lee, B Glocker, D Rueckert
International Conference on Medical Image Computing and Computer-Assisted …, 2017
1602017
Implicit Weight Uncertainty in Neural Networks
N Pawlowski, A Brock, MCH Lee, M Rajchl, B Glocker
arXiv preprint arXiv:1711.01297, 2018
902018
Prostate Segmentation: An Efficient Convex Optimization Approach with Axial Symmetry Using 3D TRUS and MR Images
W Qiu, J Yuan, E Ukwatta, Y Sun, M Rajchl, A Fenster
IEEE Transactions on Medical Imaging 33 (4), 947 - 960, 2014
902014
Active Cardiac Sarcoidosis: First Clinical Experience of Simultaneous Positron Emission Tomography–Magnetic Resonance Imaging for the Diagnosis of Cardiac Disease
JA White, M Rajchl, J Butler, RT Thompson, FS Prato, G Wisenberg
Circulation 127 (22), e639-e641, 2013
902013
Accuracy and reproducibility of semi-automated late gadolinium enhancement quantification techniques in patients with hypertrophic cardiomyopathy
Y Mikami, L Kolman, SX Joncas, J Stirrat, D Scholl, M Rajchl, CP Lydell, ...
Journal of Cardiovascular Magnetic Resonance 16 (1), 1-9, 2014
872014
Multi-modal learning from unpaired images: Application to multi-organ segmentation in CT and MRI
VV Valindria, N Pawlowski, M Rajchl, I Lavdas, EO Aboagye, AG Rockall, ...
2018 IEEE winter conference on applications of computer vision (WACV), 547-556, 2018
832018
Dltk: State of the art reference implementations for deep learning on medical images
N Pawlowski, SI Ktena, MCH Lee, B Kainz, D Rueckert, B Glocker, ...
arXiv preprint arXiv:1711.06853, 2017
822017
Left Ventricle Segmentation in MRI via Convex Relaxed Distribution Matching
C Nambakhsh, J Yuan, K Punithakumar, A Goela, M Rajchl, TM Peters, ...
Medical Image Analysis 17 (8), 1010–-1024, 2013
812013
Interactive Hierarchical Max-Flow Segmentation of Scar Tissue from Late-Enhancement Cardiac MR Images
M Rajchl, J Yuan, J White, E Ukwatta, J Stirrat, C Nambakhsh, F Li, ...
IEEE Transactions on Medical Imaging 33 (1), 159 - 172, 2014
752014
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
722016
Stratified decision forests for accurate anatomical landmark localization in cardiac images
O Oktay, W Bai, R Guerrero, M Rajchl, A de Marvao, DP O’Regan, ...
IEEE transactions on medical imaging 36 (1), 332-342, 2016
692016
Unsupervised lesion detection in brain CT using bayesian convolutional autoencoders
N Pawlowski, MCH Lee, M Rajchl, S McDonagh, E Ferrante, K Kamnitsas, ...
642018
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