One paper accepted at NeurIPS 2019

Publications

We will present the following paper at NeurIPS 2019 Qi Dou, Daniel C. Castro, Konstantinos Kamnitsas, Ben Glocker Domain Generalization via Model-Agnostic Learning of Semantic FeaturesGraph Convolutional Gaussian Processes

BioMedIA group is presenting 14 papers at MICCAI 2019

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Members of the BioMedIA group will be presenting 14 papers at this year’s MICCAI in Shenzhen. The full list of papers presented can be found below: Confident Head Circumference Measurement from Ultrasound with Real-time Feedback for Sonographers. Samuel Budd, Matthew Sinclair, Bishesh Khanal, Jacqueline Matthew, David Lloyd, Alberto Gomez, Nicolas Toussaint, Emma Robinson, Bernhard Kainz Complete … Continued

dHCP releases brain MRI from over 500 neonates

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The developing Human Connectome Project (dHCP) has just released brain MRI from over 500 neonates. The imaging data includes structural imaging, structural connectivity data (diffusion MRI) and functional connectivity data (resting-state fMRI). This data release comes with minimal accompanying metadata: sex, age at birth, age at scan, birthweight, head circumference and radiology score. More specific … Continued

MLMIR workshop at MICCAI 2019

Events

The BioMedIA group is co-organising the second workshop on Machine Learning for Medical Image Reconstruction (MLMIR) in conjunction with MICCAI 2019. Please come along and join us in Shenzhen!

Two papers accepted at IPMI 2019

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The BioMedIA Group will present two papers at the 26th International Conference on Information Processing in Medical Imaging (IPMI) in June at The Hong Kong University of Science and Technology. Loic Le Folgoc; Daniel C. Castro; Jeremy Tan; Bishesh Khanal; Konstantinos Kamnitsas; Ian Walker; Amir Alansary; Ben Glocker Controlling Meshes via Curvature: Spin Transformations for … Continued

Philips Impact Award for NeuroNet Paper

News

Our NeuroNet paper received the Philips Impact Award at the 1st International Conference on Medical Imaging with Deep Learning 2018. NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation Pipelines  Martin Rajchl, Nick Pawlowski, Daniel Rueckert, Paul M. Matthews, Ben Glocker Paper: https://arxiv.org/abs/1806.04224 Code & Models: https://github.com/DLTK/models/tree/master/ukbb_neuronet_brain_segmentation

Long oral paper accepted at ICML 2018

Publications

PhD student Kostas Kamnitsas from the BioMedIA Group is the lead author of an ICML 2018 paper that has been accepted as a long oral presentation. Konstantinos Kamnitsas, Daniel C. Castro, Loic Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya Nori Semi-Supervised Learning via Compact Latent Space Clustering