| Natural synthetic anomalies for self-supervised anomaly detection and localization HM Schlüter, J Tan, B Hou, B Kainz European Conference on Computer Vision, 474-489, 2022 | 115 | 2022 |
| Morpho-MNIST: Quantitative assessment and diagnostics for representation learning DC Castro, J Tan, B Kainz, E Konukoglu, B Glocker Journal of Machine Learning Research 20 (178), 1-29, 2019 | 69 | 2019 |
| Detecting outliers with foreign patch interpolation J Tan, B Hou, J Batten, H Qiu, B Kainz arXiv preprint arXiv:2011.04197, 2020 | 56 | 2020 |
| Detecting outliers with poisson image interpolation J Tan, B Hou, T Day, J Simpson, D Rueckert, B Kainz Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 54 | 2021 |
| Improving ultrasound video classification: an evaluation of novel deep learning methods in echocardiography JP Howard, J Tan, MJ Shun-Shin, D Mahdi, AN Nowbar, AD Arnold, ... Journal of medical artificial intelligence 3, 2020 | 54 | 2020 |
| Self-supervised out-of-distribution detection and localization with natural synthetic anomalies (nsa) HM Schlüter, J Tan, B Hou, B Kainz arXiv preprint arXiv:2109.15222 2 (5), 2021 | 41 | 2021 |
| Cardiac tissue-mimicking ballistic gel phantom for ultrasound imaging in clinical and research applications N Alves, A Kim, J Tan, G Hwang, T Javed, B Neagu, BK Courtney Ultrasound in medicine & biology 46 (8), 2057-2069, 2020 | 39 | 2020 |
| Mood 2020: A public benchmark for out-of-distribution detection and localization on medical images D Zimmerer, PM Full, F Isensee, P Jäger, T Adler, J Petersen, G Köhler, ... IEEE Transactions on Medical Imaging 41 (10), 2728-2738, 2022 | 38 | 2022 |
| Ultrasound video summarization using deep reinforcement learning T Liu, Q Meng, A Vlontzos, J Tan, D Rueckert, B Kainz Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 38 | 2020 |
| Deep adversarial context-aware landmark detection for ultrasound imaging A Tuysuzoglu, J Tan, K Eissa, AP Kiraly, M Diallo, A Kamen Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 34 | 2018 |
| Motion compensation using principal component analysis and projection onto dipole fields for abdominal magnetic resonance thermometry J Tan, C Mougenot, S Pichardo, JM Drake, AC Waspe Magnetic Resonance in Medicine 81 (1), 195-207, 2019 | 27 | 2019 |
| Automated detection of congenital heart disease in fetal ultrasound screening J Tan, A Au, Q Meng, S FinesilverSmith, J Simpson, D Rueckert, R Razavi, ... Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis …, 2020 | 17 | 2020 |
| Automatic shadow detection in 2d ultrasound images Q Meng, C Baumgartner, M Sinclair, J Housden, M Rajchl, A Gomez, ... Data Driven Treatment Response Assessment and Preterm, Perinatal, and …, 2018 | 16 | 2018 |
| Detecting hypo-plastic left heart syndrome in fetal ultrasound via disease-specific atlas maps S Budd, M Sinclair, T Day, A Vlontzos, J Tan, T Liu, J Matthew, E Skelton, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 12 | 2021 |
| Semi-supervised learning of fetal anatomy from ultrasound J Tan, A Au, Q Meng, B Kainz Domain Adaptation and Representation Transfer and Medical Image Learning …, 2019 | 11 | 2019 |
| Learning normal appearance for fetal anomaly screening: Application to the unsupervised detection of Hypoplastic Left Heart Syndrome E Chotzoglou, T Day, J Tan, J Matthew, D Lloyd, R Razavi, J Simpson, ... arXiv preprint arXiv:2012.03679, 2020 | 7 | 2020 |
| Many tasks make light work: Learning to localise medical anomalies from multiple synthetic tasks M Baugh, J Tan, JP Müller, M Dombrowski, J Batten, B Kainz International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 5 | 2023 |
| Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, and Klaus Maier-Hein. Mood 2020 … D Zimmerer, PM Full, F Isensee, P Jäger, T Adler, J Petersen, G Köhler, ... IEEE Transactions on Medical Imaging 41 (10), 2728-2738, 2022 | 5 | 2022 |
| Prenatal diagnosis of hypoplastic left heart syndrome on ultrasound using artificial intelligence: How does performance compare to a current screening programme? TG Day, S Budd, J Tan, J Matthew, E Skelton, V Jowett, D Lloyd, A Gomez, ... Prenatal Diagnosis 44 (6-7), 717-724, 2024 | 3 | 2024 |
| nnOOD: A framework for benchmarking self-supervised anomaly localisation methods M Baugh, J Tan, A Vlontzos, JP Müller, B Kainz International Workshop on Uncertainty for Safe Utilization of Machine …, 2022 | 3 | 2022 |
