Automatic Shadow Detection in 2D Ultrasound Images. - Qingjie Meng; Christian F. Baumgartner; Matthew Sinclair; James Housden; Martin Rajchl; Alberto Gómez 002; Benjamin Hou; Nicolas Toussaint; Veronika A. M. Zimmer; Jeremy Tan; Jacqueline Matthew; Daniel Rueckert; et al. (DATRA/PIPPI@MICCAI, 2018)

Deep Adversarial Context-Aware Landmark Detection for Ultrasound Imaging. - Ahmet Tuysuzoglu; Jeremy Tan; Kareem Eissa; Atilla P. Kiraly; Mamadou Diallo; Ali Kamen (MICCAI (4), 2018)

Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing. - Loïc Le Folgoc; Daniel Coelho de Castro; Jeremy Tan; Bishesh Khanal; Konstantinos Kamnitsas; Ian Walker; Amir Alansary; Ben Glocker (IPMI, 2019)

Semi-supervised Learning of Fetal Anatomy from Ultrasound. - Jeremy Tan; Anselm Au; Qingjie Meng; Bernhard Kainz (DART/MIL3ID@MICCAI, 2019)

Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning. - Daniel Coelho de Castro; Jeremy Tan; Bernhard Kainz; Ender Konukoglu; Ben Glocker (J. Mach. Learn. Res., 2019)

Divergent search for image classification behaviors. - Jeremy Tan; Bernhard Kainz (GECCO Companion, 2020)

Ultrasound Video Summarization Using Deep Reinforcement Learning. - Tianrui Liu; Qingjie Meng; Athanasios Vlontzos; Jeremy Tan; Daniel Rueckert; Bernhard Kainz (MICCAI (3), 2020)

Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening. - Jeremy Tan; Anselm Au; Qingjie Meng; Sandy FinesilverSmith; John M. Simpson; Daniel Rueckert; Reza Razavi; Thomas G. Day; David Lloyd 003; Bernhard Kainz (ASMUS/PIPPI@MICCAI, 2020)

Divergent Search for Few-Shot Image Classification. - Jeremy Tan; Bernhard Kainz (CoRR, 2020)

Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics. - Payel Das; Tom Sercu; Kahini Wadhawan; Inkit Padhi; Sebastian Gehrmann; Flaviu S. Cipcigan; Vijil Chenthamarakshan; Hendrik Strobelt; Cícero Nogueira dos Santos; Pin-Yu Chen; Yi Yan Yang; Jeremy Tan; et al. (CoRR, 2020)

Detecting Outliers with Foreign Patch Interpolation. - Jeremy Tan; Benjamin Hou; James Batten; Huaqi Qiu; Bernhard Kainz (CoRR, 2020)

Learning normal appearance for fetal anomaly screening: Application to the unsupervised detection of Hypoplastic Left Heart Syndrome. - Elisa Chotzoglou; Thomas G. Day; Jeremy Tan; Jacqueline Matthew; David Lloyd 003; Reza Razavi; John M. Simpson; Bernhard Kainz (CoRR, 2020)

Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps. - Samuel Budd; Matthew Sinclair; Thomas G. Day; Athanasios Vlontzos; Jeremy Tan; Tianrui Liu 001; Jacqueline Matthew; Emily Skelton; John M. Simpson; Reza Razavi; Ben Glocker; Daniel Rueckert; et al. (MICCAI (7), 2021)

Detecting Outliers with Poisson Image Interpolation. - Jeremy Tan; Benjamin Hou; Thomas G. Day; John M. Simpson; Daniel Rueckert; Bernhard Kainz (MICCAI (5), 2021)

MetaDetector: Detecting Outliers by Learning to Learn from Self-supervision. - Jeremy Tan; Turkay Kart; Benjamin Hou; James Batten; Bernhard Kainz (MIDOG/MOOD/Learn2Reg@MICCAI, 2021)

Self-Supervised Out-of-Distribution Detection and Localization with Natural Synthetic Anomalies (NSA). - Hannah M. Schlüter; Jeremy Tan; Benjamin Hou; Bernhard Kainz (CoRR, 2021)

Natural Synthetic Anomalies for Self-supervised Anomaly Detection and Localization. - Hannah M. Schlüter; Jeremy Tan; Benjamin Hou; Bernhard Kainz (ECCV (31), 2022)

nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods. - Matthew Baugh; Jeremy Tan; Athanasios Vlontzos; Johanna P. Müller; Bernhard Kainz (UNSURE@MICCAI, 2022)

Adnexal Mass Segmentation with Ultrasound Data Synthesis. - Clara Lebbos; Jen Barcroft; Jeremy Tan; Johanna P. Müller; Matthew Baugh; Athanasios Vlontzos; Srdjan Saso; Bernhard Kainz (ASMUS@MICCAI, 2022)

MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. - David Zimmerer; Peter M. Full; Fabian Isensee; Paul Jäger 002; Tim Adler; Jens Petersen; Gregor Köhler; Tobias Roß; Annika Reinke; Antanas Kascenas; Bjørn Sand Jensen; Alison Q. O'Neil; et al. (IEEE Trans. Medical Imaging, 2022)

Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. - David Zimmerer; Peter M. Full; Fabian Isensee; Paul Jäger 002; Tim Adler; Jens Petersen; Gregor Köhler; Tobias Roß; Annika Reinke; Antanas Kascenas; Bjørn Sand Jensen; Alison Q. O'Neil; et al. (Bildverarbeitung für die Medizin, 2023)

Many Tasks Make Light Work: Learning to Localise Medical Anomalies from Multiple Synthetic Tasks. - Matthew Baugh; Jeremy Tan; Johanna P. Müller; Mischa Dombrowski; James Batten; Bernhard Kainz (MICCAI (1), 2023)

Confidence-Aware and Self-supervised Image Anomaly Localisation. - Johanna P. Müller; Matthew Baugh; Jeremy Tan; Mischa Dombrowski; Bernhard Kainz (UNSURE@MICCAI, 2023)