Tumor Delineation for Brain Radiosurgery by a ConvNet and Non-uniform Patch Generation. - Egor Krivov; Valery Kostjuchenko; Alexandra Dalechina; Boris Shirokikh; Gleb Makarchuk; Alexander Denisenko; Andrey Golanov; Mikhail Belyaev (Patch-MI@MICCAI, 2018)

Sparse Group Inductive Matrix Completion. - Ivan Nazarov; Boris Shirokikh; Maria Burkina; Gennady Fedonin; Maxim Panov (CoRR, 2018)

Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective Clinical Evaluation. - Boris Shirokikh; Alexandra Dalechina; Alexey Shevtsov; Egor Krivov; Valery Kostjuchenko; Amayak Durgaryan; Mikhail Galkin 002; Ivan Osinov; Andrey Golanov; Mikhail Belyaev (BrainLes@MICCAI (1), 2019)

Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation. - Boris Shirokikh; Alexey Shevtsov; Anvar Kurmukov; Alexandra Dalechina; Egor Krivov; Valery Kostjuchenko; Andrey Golanov; Mikhail Belyaev (MICCAI (4), 2020)

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)

Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection Augmentation. - Talgat Saparov; Anvar Kurmukov; Boris Shirokikh; Mikhail Belyaev (DGM4MICCAI/DALI@MICCAI, 2021)

Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation. - Ivan Zakazov; Boris Shirokikh; Alexey Chernyavskiy; Mikhail Belyaev (MICCAI (3), 2021)

Accelerating 3D Medical Image Segmentation by Adaptive Small-Scale Target Localization. - Boris Shirokikh; Alexey Shevtsov; Alexandra Dalechina; Egor Krivov; Valery Kostjuchenko; Andrey Golanov; Victor Gombolevskiy; Sergey Morozov 002; Mikhail Belyaev (J. Imaging, 2021)

CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification. - Mikhail Goncharov; Maxim Pisov; Alexey Shevtsov; Boris Shirokikh; Anvar Kurmukov; Ivan A. Blokhin; Valeria Chernina; Alexander Solovev; Victor Gombolevskiy; Sergey Morozov 002; Mikhail Belyaev (Medical Image Anal., 2021)

Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation. - Anton Vasiliuk; Daria Frolova; Mikhail Belyaev; Boris Shirokikh (MICAD, 2022)

CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation. - Reuben Dorent; Aaron Kujawa; Marina Ivory; Spyridon Bakas; Nicola Rieke; Samuel Joutard; Ben Glocker; Jorge Cardoso 002; Marc Modat; Kayhan Batmanghelich; Arseniy Belkov; Maria G. Baldeon Calisto; et al. (CoRR, 2022)

Neglectable effect of brain MRI data prepreprocessing for tumor segmentation. - Ekaterina Kondrateva; Polina Druzhinina; Alexandra Dalechina; Boris Shirokikh; Mikhail Belyaev; Anvar Kurmukov (CoRR, 2022)

Adaptation to CT Reconstruction Kernels by Enforcing Cross-Domain Feature Maps Consistency. - Stanislav Shimovolos; Andrey Shushko; Mikhail Belyaev; Boris Shirokikh (J. Imaging, 2022)

Systematic Clinical Evaluation of a Deep Learning Method for Medical Image Segmentation: Radiosurgery Application. - Boris Shirokikh; Alexandra Dalechina; Alexey Shevtsov; Egor Krivov; Valery Kostjuchenko; Amayak Durgaryan; Mikhail Galkin 002; Andrey Golanov; Mikhail Belyaev (IEEE J. Biomed. Health Informatics, 2022)

Redesigning Out-of-Distribution Detection on 3D Medical Images. - Anton Vasiliuk; Daria Frolova; Mikhail Belyaev; Boris Shirokikh (UNSURE@MICCAI, 2023)

Limitations of Out-of-Distribution Detection in 3D Medical Image Segmentation. - Anton Vasiliuk; Daria Frolova; Mikhail Belyaev; Boris Shirokikh (J. Imaging, 2023)

CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation. - Reuben Dorent; Aaron Kujawa; Marina Ivory; Spyridon Bakas; Nicola Rieke; Samuel Joutard; Ben Glocker; M. Jorge Cardoso; Marc Modat; Kayhan Batmanghelich; Arseniy Belkov; Maria G. Baldeon Calisto; et al. (Medical Image Anal., 2023)

The Impact of Deep Learning Aid on the Workload and Interpretation Accuracy of Radiologists on Chest Computed Tomography. - Anvar Kurmukov; Valeria Chernina; Regina Gareeva; Maria Dugova; Ekaterina Petrash; Olga Aleshina; Maxim Pisov; Boris Shirokikh; Valentin Samokhin; Vladislav Proskurov; Stanislav Shimovolos; Maria Basova; et al. (MICAD, 2024)

Anatomical Positional Embeddings. - Mikhail Goncharov; Valentin Samokhin; Eugenia Soboleva; Roman Sokolov; Boris Shirokikh; Mikhail Belyaev; Anvar Kurmukov; Ivan V. Oseledets (MICCAI (10), 2024)

Negligible effect of brain MRI data preprocessing for tumor segmentation. - Ekaterina Kondrateva; Polina Druzhinina; Alexandra Dalechina; Svetlana Zolotova; Andrey Golanov; Boris Shirokikh; Mikhail Belyaev; Anvar Kurmukov (Biomed. Signal Process. Control., 2024)

The impact of deep learning aid on the workload and interpretation accuracy of radiologists on chest computed tomography: a cross-over reader study. - Anvar Kurmukov; Valeria Chernina; Regina Gareeva; Maria Dugova; Ekaterina Petrash; Olga Aleshina; Maxim Pisov; Boris Shirokikh; Valentin Samokhin; Vladislav Proskurov; Stanislav Shimovolos; Maria Basova; et al. (CoRR, 2024)

The Effect of Lossy Compression on 3D Medical Images Segmentation with Deep Learning. - Anvar Kurmukov; Bogdan D. Zavolovich; Aleksandra Dalechina; Vladislav Proskurov; Boris Shirokikh (CoRR, 2024)

M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image Segmentation. - Boris Shirokikh; Anvar Kurmukov; Maria Donskova; Valentin Samokhin; Mikhail Belyaev; Ivan V. Oseledets (CoRR, 2025)