Martin Rajchl
Martin Rajchl
Research Fellow, Dept. of Computing, Imperial College London
Verified email at imperial.ac.uk - Homepage
TitleCited byYear
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, 1, 2015
1152015
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
1062018
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
1002016
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
1002015
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
972018
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), 65, 2018
782018
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
722013
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
652014
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
602017
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
562013
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), 85, 2014
532014
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
532014
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
522017
3D Carotid Multi-Region MRI Segmentation by Globally Optimal Evolution of Coupled Surfaces
E Ukwatta, J Yuan, M Rajchl, W Qiu, D Tessier, A Fenster
IEEE Transactions on Medical Imaging 32 (4), 770 - 785, 2013
482013
Dual optimization based prostate zonal segmentation in 3D MR images
W Qiu, J Yuan, E Ukwatta, Y Sun, M Rajchl, A Fenster
Medical image analysis 18 (4), 660-673, 2014
402014
Efficient convex optimization approach to 3D non-rigid MR-TRUS registration
Y Sun, J Yuan, M Rajchl, W Qiu, C Romagnoli, A Fenster
International Conference on Medical Image Computing and Computer-Assisted …, 2013
352013
Hierarchical max-flow segmentation framework for multi-atlas segmentation with Kohonen self-organizing map based Gaussian mixture modeling
M Rajchl, JSH Baxter, AJ McLeod, J Yuan, W Qiu, TM Peters, AR Khan
Medical image analysis 27, 45-56, 2016
342016
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
322017
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
302018
Three-Dimensional Non-Rigid MR-TRUS Registration Using Dual Optimization.
Y Sun, J Yuan, W Qiu, M Rajchl, C Romagnoli, A Fenster
IEEE Transactions on Medical Imaging 34 (5), 1085-1095, 2014
302014
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