Matthew Chung Hai Lee
TitleCited byYear
Deep unsupervised clustering with gaussian mixture variational autoencoders
N Dilokthanakul, PAM Mediano, M Garnelo, MCH Lee, H Salimbeni, ...
arXiv preprint arXiv:1611.02648, 2016
1572016
Attention u-net: Learning where to look for the pancreas
O Oktay, J Schlemper, LL Folgoc, M Lee, M Heinrich, K Misawa, K Mori, ...
arXiv preprint arXiv:1804.03999, 2018
1252018
Ensembles of multiple models and architectures for robust brain tumour segmentation
K Kamnitsas, W Bai, E Ferrante, S McDonagh, M Sinclair, N Pawlowski, ...
International MICCAI Brainlesion Workshop, 450-462, 2017
1172017
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
1152018
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
1042016
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
1032016
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
572017
Spectral graph convolutions for population-based disease prediction
S Parisot, SI Ktena, E Ferrante, M Lee, RG Moreno, B Glocker, D Rueckert
International Conference on Medical Image Computing and Computer-Assisted …, 2017
512017
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
332018
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
332017
Implicit weight uncertainty in neural networks
N Pawlowski, A Brock, MCH Lee, M Rajchl, B Glocker
arXiv preprint arXiv:1711.01297, 2017
332017
Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer’s disease
S Parisot, SI Ktena, E Ferrante, M Lee, R Guerrero, B Glocker, D Rueckert
Medical image analysis 48, 117-130, 2018
322018
Learning under distributed weak supervision
M Rajchl, MCH Lee, F Schrans, A Davidson, J Passerat-Palmbach, ...
arXiv preprint arXiv:1606.01100, 2016
132016
Unsupervised lesion detection in brain CT using bayesian convolutional autoencoders
N Pawlowski, MCH Lee, M Rajchl, S McDonagh, E Ferrante, K Kamnitsas, ...
102018
Automatic brain localization in fetal MRI using superpixel graphs
A Alansary, M Lee, K Keraudren, B Kainz, C Malamateniou, M Rutherford, ...
Medical Learning Meets Medical Imaging, 13-22, 2015
82015
TETRIS: Template transformer networks for image segmentation with shape priors
MCH Lee, K Petersen, N Pawlowski, B Glocker, M Schaap
IEEE transactions on medical imaging 38 (11), 2596-2606, 2019
72019
Deep pose estimation for image-based registration
B Hou, N Miolane, B Khanal, M Lee, A Alansary, S McDonagh, J Hajnal, ...
42018
Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry
B Hou, N Miolane, B Khanal, MCH Lee, A Alansary, S McDonagh, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2018
32018
Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors
K Tóthová, S Parisot, MCH Lee, E Puyol-Antón, LM Koch, AP King, ...
International Workshop on Shape in Medical Imaging, 300-310, 2018
12018
Image-and-Spatial Transformer Networks for Structure-Guided Image Registration
MCH Lee, O Oktay, A Schuh, M Schaap, B Glocker
International Conference on Medical Image Computing and Computer-Assisted …, 2019
2019
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