| 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 | 507 | 2018 |
| 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 | 379 | 2018 |
| Deep unsupervised clustering with gaussian mixture variational autoencoders N Dilokthanakul, PAM Mediano, M Garnelo, MCH Lee, H Salimbeni, ... arXiv preprint arXiv:1611.02648, 2016 | 273 | 2016 |
| 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 | 238 | 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 | 170 | 2016 |
| 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 | 150 | 2016 |
| 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 | 97 | 2018 |
| 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 | 85 | 2017 |
| 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 | 81 | 2017 |
| 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 | 78 | 2018 |
| Implicit weight uncertainty in neural networks N Pawlowski, A Brock, MCH Lee, M Rajchl, B Glocker arXiv preprint arXiv:1711.01297, 2017 | 53 | 2017 |
| 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 | 48 | 2017 |
| Unsupervised lesion detection in brain CT using bayesian convolutional autoencoders N Pawlowski, MCH Lee, M Rajchl, S McDonagh, E Ferrante, K Kamnitsas, ... | 29 | 2018 |
| 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 | 21 | 2019 |
| Learning under distributed weak supervision M Rajchl, MCH Lee, F Schrans, A Davidson, J Passerat-Palmbach, ... arXiv preprint arXiv:1606.01100, 2016 | 19 | 2016 |
| Attention u-net: Learning where to look for the pancreas. arXiv 2018 O Oktay, J Schlemper, LL Folgoc, M Lee, M Heinrich, K Misawa, K Mori, ... arXiv preprint arXiv:1804.03999, 0 | 19 | |
| 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 | 17 | 2019 |
| 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 | 10 | 2015 |
| 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 | 8 | 2018 |
| 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 | 5 | 2018 |
