Jeremy Tan
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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
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
Detecting outliers with foreign patch interpolation
J Tan, B Hou, J Batten, H Qiu, B Kainz
arXiv preprint arXiv:2011.04197, 2020
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
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
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
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
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
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
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
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
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
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
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
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
MetaDetector: Detecting Outliers by Learning to Learn from Self-supervision
J Tan, T Kart, B Hou, J Batten, B Kainz
International Conference on Medical Image Computing and Computer-Assisted …, 2021
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
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
5th International Symposium on Focused Ultrasound: North Bethesda, MD, USA. 28 August-1 September 2016
M Zaaroor, A Sinai, D Goldsher, A Eran, M Nassar, I Schlesinger, J Parker, ...
Journal of Therapeutic Ultrasound 4, 1-113, 2016
Motion Compensation using Principal Component Analysis and Projection onto Dipole Fields for Abdominal Magnetic Resonance Thermometry
University of Toronto (Canada), 2016
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