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2020 – today
- 2023
[c8]David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz
, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein:
Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. Bildverarbeitung für die Medizin 2023: 312- 2022
- [j3]David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein:
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. IEEE Trans. Medical Imaging 41(10): 2728-2738 (2022) - [i4]Alexander Selivanov, Oleg Y. Rogov, Daniil Chesakov, Artem Shelmanov, Irina Fedulova, Dmitry V. Dylov:
Medical Image Captioning via Generative Pretrained Transformers. CoRR abs/2209.13983 (2022) - 2021
- [j2]Nina Shvetsova, Bart Bakker, Irina Fedulova, Heinrich Schulz, Dmitry V. Dylov:
Anomaly Detection in Medical Imaging With Deep Perceptual Autoencoders. IEEE Access 9: 118571-118583 (2021) - 2020
- [c7]Boris Shirokikh, Ivan Zakazov, Alexey Chernyavskiy, Irina Fedulova, Mikhail Belyaev:
First U-Net Layers Contain More Domain Specific Information Than the Last Ones. DART/DCL@MICCAI 2020: 117-126 - [i3]Nina Tuluptceva, Bart Bakker, Irina Fedulova, Heinrich Schulz, Dmitry V. Dylov:
Anomaly Detection with Deep Perceptual Autoencoders. CoRR abs/2006.13265 (2020) - [i2]Boris Shirokikh, Ivan Zakazov, Alexey Chernyavskiy, Irina Fedulova, Mikhail Belyaev:
First U-Net Layers Contain More Domain Specific Information Than The Last Ones. CoRR abs/2008.07357 (2020)
2010 – 2019
- 2019
- [c6]Nina Tuluptceva, Bart Bakker, Irina Fedulova, Anton Konushin:
Perceptual Image Anomaly Detection. ACPR (1) 2019: 164-178 - [c5]Artem Shelmanov, Vadim Liventsev, Danil Kireev, Nikita Khromov, Alexander Panchenko, Irina Fedulova, Dmitry V. Dylov:
Active Learning with Deep Pre-trained Models for Sequence Tagging of Clinical and Biomedical Texts. BIBM 2019: 482-489 - [c4]Ivan Rodin, Irina Fedulova, Artem Shelmanov, Dmitry V. Dylov:
Multitask and Multimodal Neural Network Model for Interpretable Analysis of X-ray Images. BIBM 2019: 1601-1604 - [c3]Vadim Liventsev, Irina Fedulova, Dmitry V. Dylov:
Deep Text Prior: Weakly Supervised Learning for Assertion Classification. ICANN (Workshop) 2019: 243-257 - [i1]Nina Tuluptceva, Bart Bakker, Irina Fedulova, Anton Konushin:
Perceptual Image Anomaly Detection. CoRR abs/1909.05904 (2019) - 2012
- [j1]Constantine Bekas, Alessandro Curioni, Irina Fedulova:
Low-cost data uncertainty quantification. Concurr. Comput. Pract. Exp. 24(8): 908-920 (2012) - [c2]Michael Perrone, Lurng-Kuo Liu, Ligang Lu, Karen A. Magerlein, Changhoan Kim, Irina Fedulova, Artyom Semenikhin:
Reducing Data Movement Costs: Scalable Seismic Imaging on Blue Gene. IPDPS 2012: 320-329
2000 – 2009
- 2009
- [c1]Constantine Bekas, Alessandro Curioni, Irina Fedulova:
Low cost high performance uncertainty quantification. SC-WHPCF 2009
Coauthor Index
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