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Ben Glocker

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Biomedical Image Analysis Group, Department of Computing, Imperial College London

Is Texture Predictive for Age and Sex in Brain MRI?

Jul 25, 2019
Nick Pawlowski, Ben Glocker

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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

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Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels

Jun 05, 2019
Martin Zlocha, Qi Dou, Ben Glocker

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Quantitative Error Prediction of Medical Image Registration using Regression Forests

May 18, 2019
Hessam Sokooti, Gorkem Saygili, Ben Glocker, Boudewijn P. F. Lelieveldt, Marius Staring

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Graph Convolutional Gaussian Processes

May 14, 2019
Ian Walker, Ben Glocker

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FastReg: Fast Non-Rigid Registration via Accelerated Optimisation on the Manifold of Diffeomorphisms

Mar 05, 2019
Daniel Grzech, Loïc le Folgoc, Mattias P. Heinrich, Bishesh Khanal, Jakub Moll, Julia A. Schnabel, Ben Glocker, Bernhard Kainz

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Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study

Jan 27, 2019
Robert Robinson, Vanya V. Valindria, Wenjia Bai, Ozan Oktay, Bernhard Kainz, Hideaki Suzuki, Mihir M. Sanghvi, Nay Aung, Jos$é$ Miguel Paiva, Filip Zemrak, Kenneth Fung, Elena Lukaschuk, Aaron M. Lee, Valentina Carapella, Young Jin Kim, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Chris Page, Paul M. Matthews, Daniel Rueckert, Ben Glocker

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PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation

Dec 19, 2018
Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Ben Glocker, Xiahai Zhuang, Pheng-Ann Heng

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Towards continual learning in medical imaging

Nov 06, 2018
Chaitanya Baweja, Ben Glocker, Konstantinos Kamnitsas

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Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning

Sep 27, 2018
Daniel C. Castro, Jeremy Tan, Bernhard Kainz, Ender Konukoglu, Ben Glocker

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