Irina Fedulova

According to our database, Irina Fedulova authored at least 13 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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, 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

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

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, 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

IEEE Trans. Medical Imaging, 2022

Medical Image Captioning via Generative Pretrained Transformers.

Alexander Selivanov, Oleg Y. Rogov, Daniil Chesakov, Artem Shelmanov, Irina Fedulova, Dmitry V. Dylov

CoRR, 2022

2021

Anomaly Detection in Medical Imaging With Deep Perceptual Autoencoders.

Nina Shvetsova, Bart Bakker, Irina Fedulova, Heinrich Schulz, Dmitry V. Dylov

IEEE Access, 2021

2020

Anomaly Detection with Deep Perceptual Autoencoders.

Nina Tuluptceva, Bart Bakker, Irina Fedulova, Heinrich Schulz, Dmitry V. Dylov

CoRR, 2020

First U-Net Layers Contain More Domain Specific Information Than the Last Ones.

Boris Shirokikh, Ivan Zakazov, Alexey Chernyavskiy, Irina Fedulova, Mikhail Belyaev

Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020

2019

Deep Text Prior: Weakly Supervised Learning for Assertion Classification.

Vadim Liventsev, Irina Fedulova, Dmitry V. Dylov

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 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

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Multitask and Multimodal Neural Network Model for Interpretable Analysis of X-ray Images.

Ivan Rodin, Irina Fedulova, Artem Shelmanov, Dmitry V. Dylov

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Perceptual Image Anomaly Detection.

Nina Tuluptceva, Bart Bakker, Irina Fedulova, Anton Konushin

Proceedings of the Pattern Recognition - 5th Asian Conference, 2019

2012

Low-cost data uncertainty quantification.

Constantine Bekas, Alessandro Curioni, Irina Fedulova

Concurr. Comput. Pract. Exp., 2012

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

Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium, 2012

2009

Low cost high performance uncertainty quantification.

Constantine Bekas, Alessandro Curioni, Irina Fedulova

Proceedings of the 2nd Workshop on High Performance Computational Finance, 2009