Anvar Kurmukov

32 papers Journal 16Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image Segmentation. CoRR Boris Shirokikh, Anvar Kurmukov, Maria Donskova, Valentin Samokhin, Mikhail Belyaev, Ivan V. Oseledets
2025	J	`jnl`	Medical Semantic Segmentation with Diffusion Pretrain. CoRR David Li, Anvar Kurmukov, Mikhail Goncharov, Roman Sokolov, Mikhail Belyaev
2024	—	`conf`	Anatomical Positional Embeddings. MICCAI (10) Mikhail Goncharov, Valentin Samokhin, Eugenia Soboleva, Roman Sokolov, Boris Shirokikh, Mikhail Belyaev, Anvar Kurmukov, Ivan V. Oseledets
2024	J	`jnl`	Anatomical Positional Embeddings. CoRR Mikhail Goncharov, Valentin Samokhin, Eugenia Soboleva, Roman Sokolov, Boris Shirokikh, Mikhail Belyaev, Anvar Kurmukov, Ivan V. Oseledets
2024	J	`jnl`	Hierarchical Loss And Geometric Mask Refinement For Multilabel Ribs Segmentation. CoRR Aleksei Leonov, Aleksei Zakharov, Sergey Koshelev, Maxim Pisov, Anvar Kurmukov, Mikhail Belyaev
2024	—	`conf`	Hierarchical Loss and Geometric Mask Refinement for Multilabel Ribs Segmentation. ISBI Aleksei Leonov, Aleksei Zakharov, Sergey Koshelev, Maxim Pisov, Anvar Kurmukov, Mikhail Belyaev
2024	J	`jnl`	Negligible effect of brain MRI data preprocessing for tumor segmentation. Biomed. Signal Process. Control. Ekaterina Kondrateva, Polina Druzhinina, Alexandra Dalechina, Svetlana Zolotova, Andrey Golanov, Boris Shirokikh, Mikhail Belyaev, Anvar Kurmukov
2024	J	`jnl`	The Effect of Lossy Compression on 3D Medical Images Segmentation with Deep Learning. CoRR Anvar Kurmukov, Bogdan D. Zavolovich, Aleksandra Dalechina, Vladislav Proskurov, Boris Shirokikh
2024	—	`conf`	The Impact of Deep Learning Aid on the Workload and Interpretation Accuracy of Radiologists on Chest Computed Tomography. MICAD 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 Goncharov, Eugenia Soboleva, Maria Donskova, Farukh Yaushev, Alexey Shevtsov, Alexey Zakharov, Talgat Saparov, Victor Gombolevskiy, Mikhail Belyaev
2024	J	`jnl`	The impact of deep learning aid on the workload and interpretation accuracy of radiologists on chest computed tomography: a cross-over reader study. CoRR 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
2023	—	`conf`	RheumaVIT: transformer-based model for Automated Scoring of Hand Joints in Rheumatoid Arthritis. ICCV (Workshops) Alexander Stolpovsky, Elizaveta Dakhova, Polina Druzhinina, Polina Postnikova, Daniil Kudinsky, Alexander Smirnov, Anastasia Sukhinina, Alexander Lila, Anvar Kurmukov
2023	—	`conf`	vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-Level Representations in Medical Images. MICCAI (1) Mikhail Goncharov, Vera Soboleva, Anvar Kurmukov, Maxim Pisov, Mikhail Belyaev
2023	J	`jnl`	vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-level Representations in Medical Images. CoRR Mikhail Goncharov, Vera Soboleva, Anvar Kurmukov, Maxim Pisov, Mikhail Belyaev
2022	J	`jnl`	Neglectable effect of brain MRI data prepreprocessing for tumor segmentation. CoRR Ekaterina Kondrateva, Polina Druzhinina, Alexandra Dalechina, Boris Shirokikh, Mikhail Belyaev, Anvar Kurmukov
2021	—	`conf`	BRATS2021: Exploring Each Sequence in Multi-modal Input for Baseline U-net Performance. BrainLes@MICCAI (1) Polina Druzhinina, Ekaterina Kondrateva, Arseny Bozhenko, Vyacheslav Yarkin, Maxim Sharaev, Anvar Kurmukov
2021	J	`jnl`	CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification. Medical Image Anal. Mikhail Goncharov, Maxim Pisov, Alexey Shevtsov, Boris Shirokikh, Anvar Kurmukov, Ivan A. Blokhin, Valeria Chernina, Alexander Solovev, Victor Gombolevskiy, Sergey Morozov, Mikhail Belyaev
2021	—	`conf`	Challenges in Building of Deep Learning Models for Glioblastoma Segmentation: Evidence from Clinical Data. MIE Anvar Kurmukov, Aleksandra Dalechina, Talgat Saparov, Mikhail Belyaev, Svetlana Zolotova, Andrey Golanov, Anna Nikolaeva
2021	—	`conf`	Spatially Adaptive Morphometric Knowledge Transfer Across Neurodegenerative Diseases. ISBI Yuji Zhao, Anvar Kurmukov, Boris A. Gutman
2021	—	`conf`	Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection Augmentation. DGM4MICCAI/DALI@MICCAI Talgat Saparov, Anvar Kurmukov, Boris Shirokikh, Mikhail Belyaev
2021	J	`jnl`	Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection Augmentation. CoRR Talgat Saparov, Anvar Kurmukov, Boris Shirokikh, Mikhail Belyaev
2020	J	`jnl`	CT-based COVID-19 Triage: Deep Multitask Learning Improves Joint Identification and Severity Quantification. CoRR Mikhail Goncharov, Maxim Pisov, Alexey Shevtsov, Boris Shirokikh, Anvar Kurmukov, Ivan A. Blokhin, Valeria Chernina, Alexander Solovev, Victor Gombolevskiy, Sergey Morozov, Mikhail Belyaev
2020	J	`jnl`	Optimizing Connectivity-Driven Brain Parcellation Using Ensemble Clustering. Brain Connect. Anvar Kurmukov, Ayagoz Mussabaeva, Yulia Denisova, Daniel Moyer, Neda Jahanshad, Paul M. Thompson, Boris A. Gutman
2020	—	`conf`	Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation. MICCAI (4) Boris Shirokikh, Alexey Shevtsov, Anvar Kurmukov, Alexandra Dalechina, Egor Krivov, Valery Kostjuchenko, Andrey Golanov, Mikhail Belyaev
2020	J	`jnl`	Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation. CoRR Boris Shirokikh, Alexey Shevtsov, Anvar Kurmukov, Alexandra Dalechina, Egor Krivov, Valery Kostjuchenko, Andrey Golanov, Mikhail Belyaev
2019	—	`conf`	Constraining Disease Progression Models Using Subject Specific Connectivity Priors. CNI@MICCAI Anvar Kurmukov, Yuji Zhao, Ayagoz Mussabaeva, Boris Gutman
2019	—	`conf`	Diffeomorphic Metric Learning and Template Optimization for Registration-Based Predictive Models. MBIA/MFCA@MICCAI Ayagoz Mussabayeva, Maxim Pisov, Anvar Kurmukov, Alexey Kroshnin, Yulia Denisova, Li Shen, Shan Cong, Lei Wang, Boris Gutman
2018	—	`conf`	Connectivity-Driven Brain Parcellation via Consensus Clustering. CNI@MICCAI Anvar Kurmukov, Ayagoz Musabayeva, Yulia Denisova, Daniel Moyer, Boris Gutman
2018	J	`jnl`	Connectivity-Driven Brain Parcellation via Consensus Clustering. CoRR Anvar Kurmukov, Ayagoz Mussabayeva, Yulia Denisova, Daniel Moyer, Boris Gutman
2018	—	`conf`	Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms. ShapeMI@MICCAI Ayagoz Mussabayeva, Alexey Kroshnin, Anvar Kurmukov, Yulia Denisova, Li Shen, Shan Cong, Lei Wang, Boris A. Gutman
2018	J	`jnl`	Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms. CoRR Ayagoz Mussabayeva, Alexey Kroshnin, Anvar Kurmukov, Yulia Dodonova, Li Shen, Shan Cong, Lei Wang, Boris A. Gutman
2017	—	`conf`	Classifying Phenotypes Based on the Community Structure of Human Brain Networks. GRAIL/MFCA/MICGen@MICCAI Anvar Kurmukov, Marina Ananyeva, Yulia Dodonova, Boris Gutman, Joshua Faskowitz, Neda Jahanshad, Paul M. Thompson, Leonid Zhukov
2016	—	`conf`	Classification of Normal and Pathological Brain Networks Based on Similarity in Graph Partitions. ICDM Workshops Anvar Kurmukov, Yulia Dodonova, Leonid Zhukov