Low cost high performance uncertainty quantification. - Constantine Bekas; Alessandro Curioni; Irina Fedulova (SC-WHPCF, 2009)

Reducing Data Movement Costs: Scalable Seismic Imaging on Blue Gene. - Michael Perrone; Lurng-Kuo Liu; Ligang Lu; Karen A. Magerlein; Changhoan Kim; Irina Fedulova; Artyom Semenikhin (IPDPS, 2012)

Low-cost data uncertainty quantification. - Constantine Bekas; Alessandro Curioni; Irina Fedulova (Concurr. Comput. Pract. Exp., 2012)

Perceptual Image Anomaly Detection. - Nina Tuluptceva; Bart Bakker; Irina Fedulova; Anton Konushin (ACPR (1), 2019)

Multitask and Multimodal Neural Network Model for Interpretable Analysis of X-ray Images. - Ivan Rodin; Irina Fedulova; Artem Shelmanov; Dmitry V. Dylov (BIBM, 2019)

Active Learning with Deep Pre-trained Models for Sequence Tagging of Clinical and Biomedical Texts. - Artem Shelmanov; Vadim Liventsev; Danil Kireev; Nikita Khromov; Alexander Panchenko; Irina Fedulova; Dmitry V. Dylov (BIBM, 2019)

Deep Text Prior: Weakly Supervised Learning for Assertion Classification. - Vadim Liventsev; Irina Fedulova; Dmitry V. Dylov (ICANN (Workshop), 2019)

First U-Net Layers Contain More Domain Specific Information Than the Last Ones. - Boris Shirokikh; Ivan Zakazov; Alexey Chernyavskiy; Irina Fedulova; Mikhail Belyaev (DART/DCL@MICCAI, 2020)

Anomaly Detection with Deep Perceptual Autoencoders. - Nina Tuluptceva; Bart Bakker; Irina Fedulova; Heinrich Schulz; Dmitry V. Dylov (CoRR, 2020)

Anomaly Detection in Medical Imaging With Deep Perceptual Autoencoders. - Nina Shvetsova; Bart Bakker; Irina Fedulova; Heinrich Schulz; Dmitry V. Dylov (IEEE Access, 2021)

Medical Image Captioning via Generative Pretrained Transformers. - Alexander Selivanov; Oleg Y. Rogov; Daniil Chesakov; Artem Shelmanov; Irina Fedulova; Dmitry V. Dylov (CoRR, 2022)

MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. - David Zimmerer; Peter M. Full; Fabian Isensee; Paul Jäger 002; Tim Adler; Jens Petersen; Gregor Köhler; Tobias Roß; Annika Reinke; Antanas Kascenas; Bjørn Sand Jensen; Alison Q. O'Neil; et al. (IEEE Trans. Medical Imaging, 2022)

Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. - David Zimmerer; Peter M. Full; Fabian Isensee; Paul Jäger 002; Tim Adler; Jens Petersen; Gregor Köhler; Tobias Roß; Annika Reinke; Antanas Kascenas; Bjørn Sand Jensen; Alison Q. O'Neil; et al. (Bildverarbeitung für die Medizin, 2023)