Anvar Kurmukov

According to our database1, Anvar Kurmukov authored at least 16 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-Level Representations in Medical Images.
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.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Neglectable effect of brain MRI data prepreprocessing for tumor segmentation.
CoRR, 2022

2021
CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification.
Medical Image Anal., 2021

Challenges in Building of Deep Learning Models for Glioblastoma Segmentation: Evidence from Clinical Data.
Proceedings of the Public Health and Informatics, 2021

Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection Augmentation.
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

Spatially Adaptive Morphometric Knowledge Transfer Across Neurodegenerative Diseases.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

BRATS2021: Exploring Each Sequence in Multi-modal Input for Baseline U-net Performance.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020
Optimizing Connectivity-Driven Brain Parcellation Using Ensemble Clustering.
Brain Connect., 2020

Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation.
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.
Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019

Constraining Disease Progression Models Using Subject Specific Connectivity Priors.
Proceedings of the Connectomics in NeuroImaging - Third International Workshop, 2019

2018
Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms.
Proceedings of the Shape in Medical Imaging, 2018

Connectivity-Driven Brain Parcellation via Consensus Clustering.
Proceedings of the Connectomics in NeuroImaging - Second International Workshop, 2018

2017
Classifying Phenotypes Based on the Community Structure of Human Brain Networks.
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.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016


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