Automatic Brain Localization in Fetal MRI Using Superpixel Graphs. - Amir Alansary; Matthew C. H. Lee; Kevin Keraudren; Bernhard Kainz; Christina Malamateniou; Mary A. Rutherford; Joseph V. Hajnal; Ben Glocker; Daniel Rueckert (MLMMI@ICML, 2015)

Multi-input Cardiac Image Super-Resolution Using Convolutional Neural Networks. - Ozan Oktay; Wenjia Bai; Matthew C. H. Lee; Ricardo Guerrero; Konstantinos Kamnitsas; Jose Caballero; Antonio de Marvao; Stuart A. Cook; Declan P. O'Regan; Daniel Rueckert (MICCAI (3), 2016)

Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders. - Nat Dilokthanakul; Pedro A. M. Mediano; Marta Garnelo; Matthew C. H. Lee; Hugh Salimbeni; Kai Arulkumaran; Murray Shanahan (CoRR, 2016)

DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks. - Martin Rajchl; Matthew C. H. Lee; Ozan Oktay; Konstantinos Kamnitsas; Jonathan Passerat-Palmbach; Wenjia Bai; Bernhard Kainz; Daniel Rueckert (CoRR, 2016)

Learning under Distributed Weak Supervision. - Martin Rajchl; Matthew C. H. Lee; Franklin Schrans; Alice Davidson; Jonathan Passerat-Palmbach; Giacomo Tarroni; Amir Alansary; Ozan Oktay; Bernhard Kainz; Daniel Rueckert (CoRR, 2016)

Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation. - Konstantinos Kamnitsas; Wenjia Bai; Enzo Ferrante; Steven McDonagh 001; Matthew Sinclair; Nick Pawlowski; Martin Rajchl; Matthew C. H. Lee; Bernhard Kainz; Daniel Rueckert; Ben Glocker (BrainLes@MICCAI, 2017)

Distance Metric Learning Using Graph Convolutional Networks: Application to Functional Brain Networks. - Sofia Ira Ktena; Sarah Parisot; Enzo Ferrante; Martin Rajchl; Matthew C. H. Lee; Ben Glocker; Daniel Rueckert (MICCAI (1), 2017)

Spectral Graph Convolutions for Population-Based Disease Prediction. - Sarah Parisot; Sofia Ira Ktena; Enzo Ferrante; Matthew C. H. Lee; Ricardo Guerrero Moreno; Ben Glocker; Daniel Rueckert (MICCAI (3), 2017)

DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images. - Nick Pawlowski; Sofia Ira Ktena; Matthew C. H. Lee; Bernhard Kainz; Daniel Rueckert; Ben Glocker; Martin Rajchl (CoRR, 2017)

DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks. - Martin Rajchl; Matthew C. H. Lee; Ozan Oktay; Konstantinos Kamnitsas; Jonathan Passerat-Palmbach; Wenjia Bai; Mellisa Damodaram; Mary A. Rutherford; Joseph V. Hajnal; Bernhard Kainz; Daniel Rueckert (IEEE Trans. Medical Imaging, 2017)

Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry. - Benjamin Hou; Nina Miolane; Bishesh Khanal; Matthew C. H. Lee; Amir Alansary; Steven McDonagh 001; Joseph V. Hajnal; Daniel Rueckert; Ben Glocker; Bernhard Kainz (MICCAI (1), 2018)

Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors. - Katarína Tóthová; Sarah Parisot; Matthew C. H. Lee; Esther Puyol-Antón; Lisa M. Koch; Andrew P. King; Ender Konukoglu; Marc Pollefeys (ShapeMI@MICCAI, 2018)

Attention U-Net: Learning Where to Look for the Pancreas. - Ozan Oktay; Jo Schlemper; Loïc Le Folgoc; Matthew C. H. Lee; Mattias P. Heinrich; Kazunari Misawa; Kensaku Mori; Steven G. McDonagh 001; Nils Y. Hammerla; Bernhard Kainz; Ben Glocker; Daniel Rueckert (CoRR, 2018)

Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer's disease. - Sarah Parisot; Sofia Ira Ktena; Enzo Ferrante; Matthew C. H. Lee; Ricardo Guerrero; Ben Glocker; Daniel Rueckert (Medical Image Anal., 2018)

Metric learning with spectral graph convolutions on brain connectivity networks. - Sofia Ira Ktena; Sarah Parisot; Enzo Ferrante; Martin Rajchl; Matthew C. H. Lee; Ben Glocker; Daniel Rueckert (NeuroImage, 2018)

Image-and-Spatial Transformer Networks for Structure-Guided Image Registration. - Matthew C. H. Lee; Ozan Oktay; Andreas Schuh; Michiel Schaap; Ben Glocker (MICCAI (2), 2019)

TeTrIS: Template Transformer Networks for Image Segmentation With Shape Priors. - Matthew C. H. Lee; Kersten Petersen; Nick Pawlowski; Ben Glocker; Michiel Schaap (IEEE Trans. Medical Imaging, 2019)

Probabilistic 3D Surface Reconstruction from Sparse MRI Information. - Katarína Tóthová; Sarah Parisot; Matthew C. H. Lee; Esther Puyol-Antón; Andrew P. King; Marc Pollefeys; Ender Konukoglu (MICCAI (1), 2020)

Virchow: A Million-Slide Digital Pathology Foundation Model. - Eugene Vorontsov; Alican Bozkurt; Adam Casson; George Shaikovski; Michal Zelechowski; Siqi Liu; Philippe Mathieu; Alexander van Eck; Donghun Lee; Julian Viret; Eric Robert; Yi Kan Wang; et al. (CoRR, 2023)

Screen Them All: High-Throughput Pan-Cancer Genetic and Phenotypic Biomarker Screening from H&E Whole Slide Images. - Yi Kan Wang; Ludmila Tydlitatova; Jeremy D. Kunz; Gerard Oakley; Ran A. Godrich; Matthew C. H. Lee; Chad Vanderbilt; Razik Yousfi; Thomas J. Fuchs; David S. Klimstra; Siqi Liu (CoRR, 2024)

Surfer-H Meets Holo1: Cost-Efficient Web Agent Powered by Open Weights. - Mathieu Andreux; Breno Baldas Skuk; Hamza Benchekroun; Emilien Biré; Antoine Bonnet; Riaz Bordie; Nathan Bout; Matthias Brunel; Pierre-Louis Cedoz; Antoine Chassang; Mickaël Chen; Alexandra D. Constantinou; et al. (CoRR, 2025)