Anvar Kurmukov

According to our database, Anvar Kurmukov authored at least 21 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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, Mikhail Goncahrov, Eugenia Soboleva, Maria Donskova, Farukh Yaushev, Alexey Shevtsov, Alexey Zakharov, Talgat Saparov, Victor Gombolevskiy, Mikhail Belyaev

CoRR, 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

Anatomical Positional Embeddings.

Mikhail Goncharov, Valentin Samokhin, Eugenia Soboleva, Roman Sokolov, Boris Shirokikh, Mikhail Belyaev, Anvar Kurmukov, Ivan Oseledets

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Hierarchical Loss and Geometric Mask Refinement for Multilabel Ribs Segmentation.

Aleksei Leonov, Aleksei Zakharov, Sergey Koshelev, Maxim Pisov, Anvar Kurmukov, Mikhail Belyaev

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Neglectable effect of brain MRI data prepreprocessing for tumor segmentation.

Ekaterina Kondrateva, Polina Druzhinina, Alexandra Dalechina, Boris Shirokikh, Mikhail Belyaev, Anvar Kurmukov

CoRR, 2022

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, Mikhail Belyaev

Medical Image Anal., 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

Proceedings of the Public Health and Informatics, 2021

Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection Augmentation.

Talgat Saparov, Anvar Kurmukov, Boris Shirokikh, Mikhail Belyaev

Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

Spatially Adaptive Morphometric Knowledge Transfer Across Neurodegenerative Diseases.

Yuji Zhao, Anvar Kurmukov, Boris A. Gutman

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

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

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Diffeomorphic Metric Learning and Template Optimization for Registration-Based Predictive Models.

Ayagoz Mussabayeva, Maxim Pisov, Anvar Kurmukov, Alexey Kroshnin, Yulia Denisova, Li Shen, Shan Cong, Lei Wang, Boris Gutman

Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019

Constraining Disease Progression Models Using Subject Specific Connectivity Priors.

Anvar Kurmukov, Yuji Zhao, Ayagoz Mussabaeva, Boris Gutman

Proceedings of the Connectomics in NeuroImaging - Third International Workshop, 2019

2018

Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms.

Ayagoz Mussabayeva, Alexey Kroshnin, Anvar Kurmukov, Yulia Denisova, Li Shen, Shan Cong, Lei Wang, Boris A. Gutman

Proceedings of the Shape in Medical Imaging, 2018

Connectivity-Driven Brain Parcellation via Consensus Clustering.

Anvar Kurmukov, Ayagoz Musabayeva, Yulia Denisova, Daniel Moyer, Boris Gutman

Proceedings of the Connectomics in NeuroImaging - Second International Workshop, 2018

2017

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

Proceedings of the Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017

2016

Classification of Normal and Pathological Brain Networks Based on Similarity in Graph Partitions.

Anvar Kurmukov, Yulia Dodonova, Leonid Zhukov

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016