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Self-Supervised Out-of-Distribution Detection and Localization with Natural Synthetic Anomalies (NSA)


Sep 30, 2021
Hannah M. Schlüter, Jeremy Tan, Benjamin Hou, Bernhard Kainz


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Estimating the probabilities of causation via deep monotonic twin networks


Sep 07, 2021
Athanasios Vlontzos, Bernhard Kainz, Ciaran M. Gilligan-Lee

* 7 pages + appendix 

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PialNN: A Fast Deep Learning Framework for Cortical Pial Surface Reconstruction


Sep 06, 2021
Qiang Ma, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert, Amir Alansary

* Accepted in The 4th International Workshop on Machine Learning in Clinical Neuroimaging (MLCN2021) 

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Contrastive Learning for View Classification of Echocardiograms


Aug 06, 2021
Agisilaos Chartsias, Shan Gao, Angela Mumith, Jorge Oliveira, Kanwal Bhatia, Bernhard Kainz, Arian Beqiri

* Accepted in ASMUS workshop of MICCAI 2021 

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Can non-specialists provide high quality gold standard labels in challenging modalities?


Jul 30, 2021
Samuel Budd, Thomas Day, John Simpson, Karen Lloyd, Jacqueline Matthew, Emily Skelton, Reza Razavi, Bernhard Kainz

* Accepted at the FAIR workshop in conjunction with MICCAI'21 

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Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps


Jul 06, 2021
Samuel Budd, Matthew Sinclair, Thomas Day, Athanasios Vlontzos, Jeremy Tan, Tianrui Liu, Jaqueline Matthew, Emily Skelton, John Simpson, Reza Razavi, Ben Glocker, Daniel Rueckert, Emma C. Robinson, Bernhard Kainz

* MICCAI'21 Main Conference 

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Detecting Outliers with Poisson Image Interpolation


Jul 06, 2021
Jeremy Tan, Benjamin Hou, Thomas Day, John Simpson, Daniel Rueckert, Bernhard Kainz

* MICCAI 2021 

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RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting


Jul 05, 2021
Benjamin Hou, Georgios Kaissis, Ronald Summers, Bernhard Kainz


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Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation


Jul 02, 2021
Hadrien Reynaud, Athanasios Vlontzos, Benjamin Hou, Arian Beqiri, Paul Leeson, Bernhard Kainz

* Accepted for MICCAI 2021 

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Video Summarization through Reinforcement Learning with a 3D Spatio-Temporal U-Net


Jun 19, 2021
Tianrui Liu, Qingjie Meng, Jun-Jie Huang, Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz


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Unsupervised Human Pose Estimation through Transforming Shape Templates


May 10, 2021
Luca Schmidtke, Athanasios Vlontzos, Simon Ellershaw, Anna Lukens, Tomoki Arichi, Bernhard Kainz

* CVPR 2021 (poster). Project page: https://infantmotion.github.io/ 

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Topological Data Analysis of Database Representations for Information Retrieval


Apr 04, 2021
Athanasios Vlontzos, Yueqi Cao, Luca Schmidtke, Bernhard Kainz, Anthea Monod

* 15 pages, 7 figures 

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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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