Classification of Normal and Pathological Brain Networks Based on Similarity in Graph Partitions. - Anvar Kurmukov; Yulia Dodonova; Leonid Zhukov (ICDM Workshops, 2016)

Classifying Phenotypes Based on the Community Structure of Human Brain Networks. - Anvar Kurmukov; Marina Ananyeva; Yulia Dodonova; Boris Gutman; Joshua Faskowitz; Neda Jahanshad; Paul M. Thompson; Leonid Zhukov (GRAIL/MFCA/MICGen@MICCAI, 2017)

Connectivity-Driven Brain Parcellation via Consensus Clustering. - Anvar Kurmukov; Ayagoz Musabayeva; Yulia Denisova; Daniel Moyer; Boris Gutman (CNI@MICCAI, 2018)

Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms. - Ayagoz Mussabayeva; Alexey Kroshnin; Anvar Kurmukov; Yulia Denisova; Li Shen 001; Shan Cong; Lei Wang 032; Boris A. Gutman (ShapeMI@MICCAI, 2018)

Constraining Disease Progression Models Using Subject Specific Connectivity Priors. - Anvar Kurmukov; Yuji Zhao; Ayagoz Mussabaeva; Boris Gutman (CNI@MICCAI, 2019)

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)

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)

Optimizing Connectivity-Driven Brain Parcellation Using Ensemble Clustering. - Anvar Kurmukov; Ayagoz Mussabaeva; Yulia Denisova; Daniel Moyer; Neda Jahanshad; Paul M. Thompson; Boris A. Gutman (Brain Connect., 2020)

BRATS2021: Exploring Each Sequence in Multi-modal Input for Baseline U-net Performance. - Polina Druzhinina; Ekaterina Kondrateva; Arseny Bozhenko; Vyacheslav Yarkin; Maxim Sharaev; Anvar Kurmukov (BrainLes@MICCAI (1), 2021)

Spatially Adaptive Morphometric Knowledge Transfer Across Neurodegenerative Diseases. - Yuji Zhao; Anvar Kurmukov; Boris A. Gutman (ISBI, 2021)

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

Challenges in Building of Deep Learning Models for Glioblastoma Segmentation: Evidence from Clinical Data. - Anvar Kurmukov; Aleksandra Dalechina; Talgat Saparov; Mikhail Belyaev; Svetlana Zolotova; Andrey Golanov; Anna Nikolaeva (MIE, 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)

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

RheumaVIT: transformer-based model for Automated Scoring of Hand Joints in Rheumatoid Arthritis. - Alexander Stolpovsky; Elizaveta Dakhova; Polina Druzhinina; Polina Postnikova; Daniil Kudinsky; Alexander Smirnov; Anastasia Sukhinina; Alexander Lila; Anvar Kurmukov (ICCV (Workshops), 2023)

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)

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)

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)

Medical Semantic Segmentation with Diffusion Pretrain. - David Li 004; Anvar Kurmukov; Mikhail Goncharov; Roman Sokolov; Mikhail Belyaev (CoRR, 2025)

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)