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2020 – today
- 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
- [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) - [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 - [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
- [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) - [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 - [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)
2010 – 2019
- 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 - [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) - 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
Coauthor Index
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last updated on 2023-03-26 01:54 CET by the dblp team
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