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Journal Articles
- 2024
[j3]Ekaterina Kondrateva
, Polina Druzhinina, Alexandra Dalechina, Svetlana Zolotova, Andrey Golanov, Boris Shirokikh, Mikhail Belyaev, Anvar Kurmukov:
Negligible effect of brain MRI data preprocessing for tumor segmentation. Biomed. Signal Process. Control. 96: 106599 (2024)- 2021
- [j2]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) - 2020
- [j1]Anvar Kurmukov, Ayagoz Mussabaeva, Yulia Denisova, Daniel Moyer, Neda Jahanshad, Paul M. Thompson, Boris A. Gutman:
Optimizing Connectivity-Driven Brain Parcellation Using Ensemble Clustering. Brain Connect. 10(4): 183-194 (2020)
Conference and Workshop Papers
- 2024
- [c15]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 - [c14]Mikhail Goncharov, Valentin Samokhin, Eugenia Soboleva, Roman Sokolov, Boris Shirokikh, Mikhail Belyaev, Anvar Kurmukov, Ivan V. Oseledets:
Anatomical Positional Embeddings. MICCAI (10) 2024: 68-77 - 2023
- [c13]Alexander Stolpovsky, Elizaveta Dakhova, Polina Druzhinina, Polina Postnikova, Daniil Kudinsky, Alexander Smirnov, Anastasia Sukhinina, Alexander Lila, Anvar Kurmukov:
RheumaVIT: transformer-based model for Automated Scoring of Hand Joints in Rheumatoid Arthritis. ICCV (Workshops) 2023: 2514 - [c12]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 - 2021
- [c11]Polina Druzhinina, Ekaterina Kondrateva, Arseny Bozhenko, Vyacheslav Yarkin, Maxim Sharaev, Anvar Kurmukov:
BRATS2021: Exploring Each Sequence in Multi-modal Input for Baseline U-net Performance. BrainLes@MICCAI (1) 2021: 194-203 - [c10]Yuji Zhao, Anvar Kurmukov, Boris A. Gutman:
Spatially Adaptive Morphometric Knowledge Transfer Across Neurodegenerative Diseases. ISBI 2021: 845-849 - [c9]Talgat Saparov, Anvar Kurmukov, Boris Shirokikh, Mikhail Belyaev:
Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection Augmentation. DGM4MICCAI/DALI@MICCAI 2021: 243-250 - [c8]Anvar Kurmukov, Aleksandra Dalechina, Talgat Saparov, Mikhail Belyaev, Svetlana Zolotova, Andrey Golanov, Anna Nikolaeva:
Challenges in Building of Deep Learning Models for Glioblastoma Segmentation: Evidence from Clinical Data. MIE 2021: 298-302 - 2020
- [c7]Boris Shirokikh, Alexey Shevtsov, Anvar Kurmukov, Alexandra Dalechina, Egor Krivov, Valery Kostjuchenko, Andrey Golanov, Mikhail Belyaev:
Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation. MICCAI (4) 2020: 523-532 - 2019
- [c6]Anvar Kurmukov, Yuji Zhao, Ayagoz Mussabaeva, Boris Gutman:
Constraining Disease Progression Models Using Subject Specific Connectivity Priors. CNI@MICCAI 2019: 106-116 - [c5]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 - 2018
- [c4]Anvar Kurmukov, Ayagoz Musabayeva, Yulia Denisova, Daniel Moyer, Boris Gutman:
Connectivity-Driven Brain Parcellation via Consensus Clustering. CNI@MICCAI 2018: 117-126 - [c3]Ayagoz Mussabayeva, Alexey Kroshnin, Anvar Kurmukov, Yulia Denisova, Li Shen, Shan Cong, Lei Wang, Boris A. Gutman:
Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms. ShapeMI@MICCAI 2018: 160-168 - 2017
- [c2]Anvar Kurmukov, Marina Ananyeva, Yulia Dodonova, Boris Gutman, Joshua Faskowitz, Neda Jahanshad, Paul M. Thompson, Leonid Zhukov:
Classifying Phenotypes Based on the Community Structure of Human Brain Networks. GRAIL/MFCA/MICGen@MICCAI 2017: 3-11 - 2016
- [c1]Anvar Kurmukov, Yulia Dodonova, Leonid Zhukov:
Classification of Normal and Pathological Brain Networks Based on Similarity in Graph Partitions. ICDM Workshops 2016: 107-112
Informal and Other Publications
- 2024
- [i11]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) - [i10]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) - [i9]Mikhail Goncharov, Valentin Samokhin, Eugenia Soboleva, Roman Sokolov, Boris Shirokikh, Mikhail Belyaev, Anvar Kurmukov, Ivan V. Oseledets:
Anatomical Positional Embeddings. CoRR abs/2409.10291 (2024) - [i8]Anvar Kurmukov, Bogdan D. Zavolovich, Aleksandra Dalechina, Vladislav Proskurov, Boris Shirokikh:
The Effect of Lossy Compression on 3D Medical Images Segmentation with Deep Learning. CoRR abs/2409.16733 (2024) - 2023
- [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]Ekaterina Kondrateva, Polina Druzhinina, Alexandra Dalechina, Boris Shirokikh, Mikhail Belyaev, Anvar Kurmukov:
Neglectable effect of brain MRI data prepreprocessing for tumor segmentation. CoRR abs/2204.05278 (2022) - 2021
- [i5]Talgat Saparov, Anvar Kurmukov, Boris Shirokikh, Mikhail Belyaev:
Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection Augmentation. CoRR abs/2107.08543 (2021) - 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) - [i3]Boris Shirokikh, Alexey Shevtsov, Anvar Kurmukov, Alexandra Dalechina, Egor Krivov, Valery Kostjuchenko, Andrey Golanov, Mikhail Belyaev:
Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation. CoRR abs/2007.10033 (2020) - 2018
- [i2]Anvar Kurmukov, Ayagoz Mussabayeva, Yulia Denisova, Daniel Moyer, Boris Gutman:
Connectivity-Driven Brain Parcellation via Consensus Clustering. CoRR abs/1808.04262 (2018) - [i1]Ayagoz Mussabayeva, Alexey Kroshnin, Anvar Kurmukov, Yulia Dodonova, Li Shen, Shan Cong, Lei Wang, Boris A. Gutman:
Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms. CoRR abs/1808.04439 (2018)
Coauthor Index
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