Irina Fedulova

15 papers A 1Journal 7Unranked 7
YearRankTypeTitle / Venue / Authors
2023 — conf
Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images.
Bildverarbeitung für die Medizin
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
2022 J jnl
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images.
IEEE Trans. Medical Imaging
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
2022 J jnl
Medical Image Captioning via Generative Pretrained Transformers.
CoRR
Alexander Selivanov, Oleg Y. Rogov, Daniil Chesakov, Artem Shelmanov, Irina Fedulova, Dmitry V. Dylov
2021 J jnl
Anomaly Detection in Medical Imaging With Deep Perceptual Autoencoders.
IEEE Access
Nina Shvetsova, Bart Bakker, Irina Fedulova, Heinrich Schulz, Dmitry V. Dylov
2020 J jnl
Anomaly Detection with Deep Perceptual Autoencoders.
CoRR
Nina Tuluptceva, Bart Bakker, Irina Fedulova, Heinrich Schulz, Dmitry V. Dylov
2020 J jnl
First U-Net Layers Contain More Domain Specific Information Than The Last Ones.
CoRR
Boris Shirokikh, Ivan Zakazov, Alexey Chernyavskiy, Irina Fedulova, Mikhail Belyaev
2020 — conf
First U-Net Layers Contain More Domain Specific Information Than the Last Ones.
DART/DCL@MICCAI
Boris Shirokikh, Ivan Zakazov, Alexey Chernyavskiy, Irina Fedulova, Mikhail Belyaev
2019 — conf
Active Learning with Deep Pre-trained Models for Sequence Tagging of Clinical and Biomedical Texts.
BIBM
Artem Shelmanov, Vadim Liventsev, Danil Kireev, Nikita Khromov, Alexander Panchenko, Irina Fedulova, Dmitry V. Dylov
2019 — conf
Deep Text Prior: Weakly Supervised Learning for Assertion Classification.
ICANN (Workshop)
Vadim Liventsev, Irina Fedulova, Dmitry V. Dylov
2019 — conf
Multitask and Multimodal Neural Network Model for Interpretable Analysis of X-ray Images.
BIBM
Ivan Rodin, Irina Fedulova, Artem Shelmanov, Dmitry V. Dylov
2019 — conf
Perceptual Image Anomaly Detection.
ACPR (1)
Nina Tuluptceva, Bart Bakker, Irina Fedulova, Anton Konushin
2019 J jnl
Perceptual Image Anomaly Detection.
CoRR
Nina Tuluptceva, Bart Bakker, Irina Fedulova, Anton Konushin
2012 J jnl
Low-cost data uncertainty quantification.
Concurr. Comput. Pract. Exp.
Constantine Bekas, Alessandro Curioni, Irina Fedulova
2012 A conf
Reducing Data Movement Costs: Scalable Seismic Imaging on Blue Gene.
IPDPS
Michael Perrone, Lurng-Kuo Liu, Ligang Lu, Karen A. Magerlein, Changhoan Kim, Irina Fedulova, Artyom Semenikhin
2009 — conf
Low cost high performance uncertainty quantification.
SC-WHPCF
Constantine Bekas, Alessandro Curioni, Irina Fedulova