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Image-and-Spatial Transformer Networks for Structure-Guided Image Registration

Jul 22, 2019
Matthew C. H. Lee, Ozan Oktay, Andreas Schuh, Michiel Schaap, Ben Glocker

* Accepted at MICCAI 2019. Code available on 

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Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors

Jul 30, 2018
Katar铆na T贸thov谩, Sarah Parisot, Matthew C. H. Lee, Esther Puyol-Ant贸n, Lisa M. Koch, Andrew P. King, Ender Konukoglu, Marc Pollefeys

* Accepted to ShapeMI MICCAI 2018: Workshop on Shape in Medical Imaging 

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Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry

Jul 17, 2018
Benjamin Hou, Nina Miolane, Bishesh Khanal, Matthew C. H. Lee, Amir Alansary, Steven McDonagh, Jo V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz

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Implicit Weight Uncertainty in Neural Networks

May 25, 2018
Nick Pawlowski, Andrew Brock, Matthew C. H. Lee, Martin Rajchl, Ben Glocker

* Submitted to NIPS 2018, under review 

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DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images

Nov 18, 2017
Nick Pawlowski, Sofia Ira Ktena, Matthew C. H. Lee, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Martin Rajchl

* Submitted to Medical Imaging Meets NIPS 2017, Code at 

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Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders

Jan 13, 2017
Nat Dilokthanakul, Pedro A. M. Mediano, Marta Garnelo, Matthew C. H. Lee, Hugh Salimbeni, Kai Arulkumaran, Murray Shanahan

* 12 pages, 6 figures, Under review as a conference paper at ICLR 2017 

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DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks

Jun 05, 2016
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

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Learning under Distributed Weak Supervision

Jun 03, 2016
Martin Rajchl, Matthew C. H. Lee, Franklin Schrans, Alice Davidson, Jonathan Passerat-Palmbach, Giacomo Tarroni, Amir Alansary, Ozan Oktay, Bernhard Kainz, Daniel Rueckert

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