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Bernhard Kainz

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

Learning normal appearance for fetal anomaly screening: Application to the unsupervised detection of Hypoplastic Left Heart Syndrome

Nov 15, 2020
Elisa Chotzoglou, Thomas Day, Jeremy Tan, Jacqueline Matthew, David Lloyd, Reza Razavi, John Simpson, Bernhard Kainz


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Detecting Outliers with Foreign Patch Interpolation

Nov 09, 2020
Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz


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Mutual Information-based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging

Oct 30, 2020
Qingjie Meng, Jacqueline Matthew, Veronika A. Zimmer, Alberto Gomez, David F. A. Lloyd, Daniel Rueckert, Bernhard Kainz

* arXiv admin note: substantial text overlap with arXiv:2003.00321 

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Surface Agnostic Metrics for Cortical Volume Segmentation and Regression

Oct 04, 2020
Samuel Budd, Prachi Patkee, Ana Baburamani, Mary Rutherford, Emma C. Robinson, Bernhard Kainz

* Best Paper Honourable Mentions @ MLCN 2020 (MICCAI 2020) 

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Causal Future Prediction in a Minkowski Space-Time

Aug 30, 2020
Athanasios Vlontzos, Henrique Bergallo Rocha, Daniel Rueckert, Bernhard Kainz

* Includes supplement 

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Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment

Aug 19, 2020
Qingjie Meng, Daniel Rueckert, Bernhard Kainz


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Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening

Aug 18, 2020
Jeremy Tan, Anselm Au, Qingjie Meng, Sandy FinesilverSmith, John Simpson, Daniel Rueckert, Reza Razavi, Thomas Day, David Lloyd, Bernhard Kainz


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Automated Detection of Congenital HeartDisease in Fetal Ultrasound Screening

Aug 16, 2020
Jeremy Tan, Anselm Au, Qingjie Meng, Sandy FinesilverSmith, John Simpson, Daniel Rueckert, Reza Razavi, Thomas Day, David Lloyd, Bernhard Kainz


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Projective Latent Space Decluttering

Jun 23, 2020
Andreas Hinterreiter, Marc Streit, Bernhard Kainz


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3D Probabilistic Segmentation and Volumetry from 2D projection images

Jun 23, 2020
Athanasios Vlontzos, Samuel Budd, Benjamin Hou, Daniel Rueckert, Bernhard Kainz


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Ultrasound Video Summarization using Deep Reinforcement Learning

May 19, 2020
Tianrui Liu, Qingjie Meng, Athanasios Vlontzos, Jeremy Tan, Daniel Rueckert, Bernhard Kainz

* Accepted by MICCAI'20 

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Divergent Search for Few-Shot Image Classification

Apr 16, 2020
Jeremy Tan, Bernhard Kainz

* Submitted to GECCO2020 for review 

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Geomstats: A Python Package for Riemannian Geometry in Machine Learning

Apr 07, 2020
Nina Miolane, Alice Le Brigant, Johan Mathe, Benjamin Hou, Nicolas Guigui, Yann Thanwerdas, Stefan Heyder, Olivier Peltre, Niklas Koep, Hadi Zaatiti, Hatem Hajri, Yann Cabanes, Thomas Gerald, Paul Chauchat, Christian Shewmake, Bernhard Kainz, Claire Donnat, Susan Holmes, Xavier Pennec


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Learning Cross-domain Generalizable Features by Representation Disentanglement

Feb 29, 2020
Qingjie Meng, Daniel Rueckert, Bernhard Kainz


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A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis

Oct 07, 2019
Samuel Budd, Emma C Robinson, Bernhard Kainz

* submitted to Medical Image Analysis 

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Automatic Detection of Bowel Disease with Residual Networks

Aug 31, 2019
Robert Holland, Uday Patel, Phillip Lung, Elisa Chotzoglou, Bernhard Kainz

* Accepted to PRIME-MICCAI 2019 

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Semi-supervised Learning of Fetal Anatomy from Ultrasound

Aug 30, 2019
Jeremy Tan, Anselm Au, Qingjie Meng, Bernhard Kainz


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Flexible Conditional Image Generation of Missing Data with Learned Mental Maps

Aug 29, 2019
Benjamin Hou, Athanasios Vlontzos, Amir Alansary, Daniel Rueckert, Bernhard Kainz


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Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound

Aug 21, 2019
Qingjie Meng, Nick Pawlowski, Daniel Rueckert, Bernhard Kainz


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Confident Head Circumference Measurement from Ultrasound with Real-time Feedback for Sonographers

Aug 07, 2019
Samuel Budd, Matthew Sinclair, Bishesh Khanal, Jacqueline Matthew, David Lloyd, Alberto Gomez, Nicolas Toussaint, Emma Robinson, Bernhard Kainz

* Accepted at MICCAI 2019; Demo video available on Twitter (@sambuddinc) 

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Multiple Landmark Detection using Multi-Agent Reinforcement Learning

Jul 22, 2019
Athanasios Vlontzos, Amir Alansary, Konstantinos Kamnitsas, Daniel Rueckert, Bernhard Kainz

* Accepted in MICCAI 2019, Camera Ready Version 

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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

* Accepted for the 26th Conference on Information Processing in Medical Imaging (IPMI 2019) 

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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

* 14 pages, 7 figures, Journal of Cardiovascular Magnetic Resonance 

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Weakly Supervised Estimation of Shadow Confidence Maps in Ultrasound Imaging

Nov 21, 2018
Qingjie Meng, Matthew Sinclair, Veronika Zimmer, Benjamin Hou, Martin Rajchl, Nicolas Toussaint, Alberto Gomez, James Housden, Jacqueline Matthew, Daniel Rueckert, Julia Schnabel, Bernhard Kainz


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Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network

Oct 07, 2018
Yuanwei Li, Bishesh Khanal, Benjamin Hou, Amir Alansary, Juan J. Cerrolaza, Matthew Sinclair, Jacqueline Matthew, Chandni Gupta, Caroline Knight, Bernhard Kainz, Daniel Rueckert

* LNCS 11070 (2018) 392-400 
* 8 pages, 2 figures, accepted for MICCAI 2018; Added link to source code 

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Fast Multiple Landmark Localisation Using a Patch-based Iterative Network

Oct 07, 2018
Yuanwei Li, Amir Alansary, Juan J. Cerrolaza, Bishesh Khanal, Matthew Sinclair, Jacqueline Matthew, Chandni Gupta, Caroline Knight, Bernhard Kainz, Daniel Rueckert

* LNCS 11070 (2018) 563-571 
* 8 pages, 4 figures, Accepted for MICCAI 2018 

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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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Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images

Aug 22, 2018
Jo Schlemper, Ozan Oktay, Michiel Schaap, Mattias Heinrich, Bernhard Kainz, Ben Glocker, Daniel Rueckert

* Submitted to Medical Image Analysis (Special Issue on Medical Imaging with Deep Learning). arXiv admin note: substantial text overlap with arXiv:1804.03999, arXiv:1804.05338 

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