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MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images.

D. Zimmerer, P. Full, F. Isensee, P. Jäger, T. Adler, J. Petersen, G. Köhler, T. Roß, A. Reinke, A. Kascenas, B. Jensen, A. O'Neil, J. Tan, B. Hou, J. Batten, H. Qiu, B. Kainz, N. Shvetsova, I. Fedulova, D. Dylov, B. Yu, J. Zhai, J. Hu, R. Si, S. Zhou, S. Wang, X. Li, X. Chen, Y. Zhao, S. Marimont, G. Tarroni, V. Saase, L. Maier-Hein, and K. Maier-Hein. IEEE Trans. Medical Imaging, 41 (10): 2728-2738 (2022)

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Jeremy Cohen

Jérémy Bluteau

Jeremy Debattista

Jérémy Fix

Jeremy Lau

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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, and B. Kainz. CoRR, (2020)Deep Adversarial Context-Aware Landmark Detection for Ultrasound Imaging.A. Tuysuzoglu, J. Tan, K. Eissa, A. Kiraly, M. Diallo, and A. Kamen. MICCAI (4), volume 11073 of Lecture Notes in Computer Science, page 151-158. Springer, (2018)Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing.L. Folgoc, D. de Castro, J. Tan, B. Khanal, K. Kamnitsas, I. Walker, A. Alansary, and B. Glocker. IPMI, volume 11492 of Lecture Notes in Computer Science, page 221-234. Springer, (2019)Detecting Outliers with Poisson Image Interpolation.J. Tan, B. Hou, T. Day, J. Simpson, D. Rueckert, and B. Kainz. MICCAI (5), volume 12905 of Lecture Notes in Computer Science, page 581-591. Springer, (2021)Semi-supervised Learning of Fetal Anatomy from Ultrasound.J. Tan, A. Au, Q. Meng, and B. Kainz. DART/MIL3ID@MICCAI, volume 11795 of Lecture Notes in Computer Science, page 157-164. Springer, (2019)nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods.M. Baugh, J. Tan, A. Vlontzos, J. Müller, and B. Kainz. UNSURE@MICCAI, volume 13563 of Lecture Notes in Computer Science, page 103-112. Springer, (2022)Many Tasks Make Light Work: Learning to Localise Medical Anomalies from Multiple Synthetic Tasks.M. Baugh, J. Tan, J. Müller, M. Dombrowski, J. Batten, and B. Kainz. MICCAI (1), volume 14220 of Lecture Notes in Computer Science, page 162-172. Springer, (2023)Detecting Outliers with Foreign Patch Interpolation.J. Tan, B. Hou, J. Batten, H. Qiu, and B. Kainz. CoRR, (2020)Divergent Search for Few-Shot Image Classification.J. Tan, and B. Kainz. CoRR, (2020)Adnexal Mass Segmentation with Ultrasound Data Synthesis.C. Lebbos, J. Barcroft, J. Tan, J. Müller, M. Baugh, A. Vlontzos, S. Saso, and B. Kainz. ASMUS@MICCAI, volume 13565 of Lecture Notes in Computer Science, page 106-116. Springer, (2022)

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Disambiguation of "Tan, Jeremy"

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MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images.

Please choose a person to relate this publication to

Jeremy Cohen

Jérémy Bluteau

Jeremy Debattista

Jérémy Fix

Jeremy Lau

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Tan, Jeremy"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images.

Please choose a person to relate this publication to

Jeremy Cohen

Jérémy Bluteau

Jeremy Debattista

Jérémy Fix

Jeremy Lau

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
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MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images.