MRI Augmentation via Elastic Registration for Brain Lesions Segmentation. - Egor Krivov; Maxim Pisov; Mikhail Belyaev (BrainLes@MICCAI, 2017)

Ensembling Neural Networks for Digital Pathology Images Classification and Segmentation. - Artem Pimkin; Gleb Makarchuk; Vladimir Kondratenko; Maxim Pisov; Egor Krivov; Mikhail Belyaev (ICIAR, 2018)

Brain Tumor Image Retrieval via Multitask Learning. - Maxim Pisov; Gleb Makarchuk; Valery Kostjuchenko; Alexandra Dalechina; Andrey Golanov; Mikhail Belyaev (CoRR, 2018)

Diffeomorphic Metric Learning and Template Optimization for Registration-Based Predictive Models. - Ayagoz Mussabayeva; Maxim Pisov; Anvar Kurmukov; Alexey Kroshnin; Yulia Denisova; Li Shen 001; Shan Cong; Lei Wang 032; Boris Gutman (MBIA/MFCA@MICCAI, 2019)

Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection. - Maxim Pisov; Mikhail Goncharov; Nadezhda Kurochkina; Sergey Morozov 002; Victor Gombolevskiy; Valeria Chernina; Anton Vladzymyrskyy; Ksenia Zamyatina; Anna Chesnokova; Igor Pronin; Michael Shifrin; Mikhail Belyaev (iMIMIC/ML-CDS@MICCAI, 2019)

Keypoints Localization for Joint Vertebra Detection and Fracture Severity Quantification. - Maxim Pisov; Vladimir Kondratenko; Alexey Zakharov; Alexey Petraikin; Victor Gombolevskiy; Sergey Morozov 002; Mikhail Belyaev (MICCAI (6), 2020)

Quantification of Epicardial Adipose Tissue in Low-Dose Computed Tomography Images. - Mikhail Goncharov; Valeria Chernina; Maxim Pisov; Victor Gombolevskiy; Sergey Morozov 002; Mikhail Belyaev (MICAD, 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)

vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-Level Representations in Medical Images. - Mikhail Goncharov; Vera Soboleva; Anvar Kurmukov; Maxim Pisov; Mikhail Belyaev (MICCAI (1), 2023)

Interpretable vertebral fracture quantification via anchor-free landmarks localization. - Alexey Zakharov; Maxim Pisov; Alim Bukharaev; Alexey Petraikin; Sergey Morozov 002; Victor Gombolevskiy; Mikhail Belyaev (Medical Image Anal., 2023)

Hierarchical Loss and Geometric Mask Refinement for Multilabel Ribs Segmentation. - Aleksei Leonov; Aleksei Zakharov; Sergey Koshelev; Maxim Pisov; Anvar Kurmukov; Mikhail Belyaev (ISBI, 2024)

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)

Robust Curve Detection in Volumetric Medical Imaging via Attraction Field. - Farukh Yaushev; Daria Nogina; Valentin Samokhin; Mariya Dugova; Ekaterina Petrash; Dmitry Sevryukov; Mikhail Belyaev; Maxim Pisov (ShapeMI@MICCAI, 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)