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2020 – today
- 2024
[c9]Aleksei Leonov, Aleksei Zakharov, Sergey Koshelev, Maxim Pisov, Anvar Kurmukov, Mikhail Belyaev:
Hierarchical Loss and Geometric Mask Refinement for Multilabel Ribs Segmentation. ISBI 2024: 1-5- [c8]Farukh Yaushev, Daria Nogina, Valentin Samokhin, Mariya Dugova, Ekaterina Petrash, Dmitry Sevryukov, Mikhail Belyaev, Maxim Pisov:
Robust Curve Detection in Volumetric Medical Imaging via Attraction Field. ShapeMI@MICCAI 2024: 84-96 - [i10]Aleksei Leonov, Aleksei Zakharov, Sergey Koshelev, Maxim Pisov, Anvar Kurmukov, Mikhail Belyaev:
Hierarchical Loss And Geometric Mask Refinement For Multilabel Ribs Segmentation. CoRR abs/2405.15500 (2024) - [i9]Anvar Kurmukov, Valeria Chernina, Regina Gareeva, Maria Dugova, Ekaterina Petrash, Olga Aleshina, Maxim Pisov, Boris Shirokikh, Valentin Samokhin, Vladislav Proskurov, Stanislav Shimovolos, Maria Basova, Mikhail Goncahrov, Eugenia Soboleva, Maria Donskova, Farukh Yaushev, Alexey Shevtsov, Alexey Zakharov, Talgat Saparov, Victor Gombolevskiy, Mikhail Belyaev:
The impact of deep learning aid on the workload and interpretation accuracy of radiologists on chest computed tomography: a cross-over reader study. CoRR abs/2406.08137 (2024) - [i8]Farukh Yaushev, Daria Nogina, Valentin Samokhin, Mariya Dugova, Ekaterina Petrash, Dmitry Sevryukov, Mikhail Belyaev, Maxim Pisov:
Robust Curve Detection in Volumetric Medical Imaging via Attraction Field. CoRR abs/2408.01159 (2024) - 2023
- [j2]Alexey Zakharov, Maxim Pisov, Alim Bukharaev, Alexey Petraikin, Sergey Morozov, Victor Gombolevskiy, Mikhail Belyaev:
Interpretable vertebral fracture quantification via anchor-free landmarks localization. Medical Image Anal. 83: 102646 (2023) - [c7]Mikhail Goncharov, Vera Soboleva, Anvar Kurmukov
, Maxim Pisov, Mikhail Belyaev:
vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-Level Representations in Medical Images. MICCAI (1) 2023: 605-614 - [i7]Mikhail Goncharov, Vera Soboleva, Anvar Kurmukov, Maxim Pisov, Mikhail Belyaev:
vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-level Representations in Medical Images. CoRR abs/2307.14725 (2023) - 2022
- [i6]Alexey Zakharov, Maxim Pisov, Alim Bukharaev, Alexey Petraikin, Sergey Morozov, Victor Gombolevskiy, Mikhail Belyaev:
Interpretable Vertebral Fracture Quantification via Anchor-Free Landmarks Localization. CoRR abs/2204.06818 (2022) - 2021
- [j1]Mikhail Goncharov, Maxim Pisov, Alexey Shevtsov, Boris Shirokikh, Anvar Kurmukov, Ivan A. Blokhin, Valeria Chernina, Alexander Solovev, Victor Gombolevskiy, Sergey Morozov, Mikhail Belyaev:
CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification. Medical Image Anal. 71: 102054 (2021) - [c6]Mikhail Goncharov, Valeria Chernina, Maxim Pisov, Victor Gombolevskiy, Sergey Morozov, Mikhail Belyaev:
Quantification of Epicardial Adipose Tissue in Low-Dose Computed Tomography Images. MICAD 2021: 98-107 - 2020
- [c5]Maxim Pisov, Vladimir Kondratenko, Alexey Zakharov, Alexey Petraikin, Victor Gombolevskiy, Sergey Morozov, Mikhail Belyaev:
Keypoints Localization for Joint Vertebra Detection and Fracture Severity Quantification. MICCAI (6) 2020: 723-732 - [i5]Maxim Pisov, Vladimir Kondratenko, Alexey Zakharov, Alexey Petraikin, Victor Gombolevskiy, Sergey Morozov, Mikhail Belyaev:
Keypoints Localization for Joint Vertebra Detection and Fracture Severity Quantification. CoRR abs/2005.11960 (2020) - [i4]Mikhail Goncharov, Maxim Pisov, Alexey Shevtsov, Boris Shirokikh, Anvar Kurmukov, Ivan A. Blokhin, Valeria Chernina, Alexander Solovev, Victor Gombolevskiy, Sergey Morozov, Mikhail Belyaev:
CT-based COVID-19 Triage: Deep Multitask Learning Improves Joint Identification and Severity Quantification. CoRR abs/2006.01441 (2020)
2010 – 2019
- 2019
- [c4]Maxim Pisov, Mikhail Goncharov, Nadezhda Kurochkina, Sergey Morozov, Victor Gombolevskiy, Valeria Chernina, Anton Vladzymyrskyy, Ksenia Zamyatina, Anna Chesnokova, Igor Pronin, Michael Shifrin, Mikhail Belyaev:
Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection. iMIMIC/ML-CDS@MICCAI 2019: 30-38 - [c3]Ayagoz Mussabayeva, Maxim Pisov, Anvar Kurmukov, Alexey Kroshnin, Yulia Denisova, Li Shen, Shan Cong, Lei Wang, Boris Gutman:
Diffeomorphic Metric Learning and Template Optimization for Registration-Based Predictive Models. MBIA/MFCA@MICCAI 2019: 151-161 - [i3]Maxim Pisov, Mikhail Goncharov, Nadezhda Kurochkina, Sergey Morozov, Victor Gombolevskiy, Valeria Chernina, Anton Vladzymyrskyy, Ksenia Zamyatina, Anna Chesnokova, Igor Pronin, Michael Shifrin, Mikhail Belyaev:
Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection. CoRR abs/1908.04568 (2019) - 2018
- [c2]Artem Pimkin, Gleb Makarchuk, Vladimir Kondratenko, Maxim Pisov, Egor Krivov, Mikhail Belyaev:
Ensembling Neural Networks for Digital Pathology Images Classification and Segmentation. ICIAR 2018: 877-886 - [i2]Gleb Makarchuk, Vladimir Kondratenko, Maxim Pisov, Artem Pimkin, Egor Krivov, Mikhail Belyaev:
Ensembling Neural Networks for Digital Pathology Images Classification and Segmentation. CoRR abs/1802.00947 (2018) - [i1]Maxim Pisov, Gleb Makarchuk, Valery Kostjuchenko, Alexandra Dalechina, Andrey Golanov, Mikhail Belyaev:
Brain Tumor Image Retrieval via Multitask Learning. CoRR abs/1810.09369 (2018) - 2017
- [c1]Egor Krivov, Maxim Pisov, Mikhail Belyaev:
MRI Augmentation via Elastic Registration for Brain Lesions Segmentation. BrainLes@MICCAI 2017: 369-380
Coauthor Index
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