Mikhail Goncharov

According to our database, Mikhail Goncharov authored at least 10 papers between 2019 and 2025.

Collaborative distances:

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

2025

Screener: Self-supervised Pathology Segmentation Model for 3D Medical Images.

Mikhail Goncharov, Eugenia Soboleva, Maria Donskova, Ivan V. Oseledets, Marina Munkhoeva, Maxim Panov

CoRR, February, 2025

Medical Semantic Segmentation with Diffusion Pretrain.

David Li, Anvar Kurmukov, Mikhail Goncharov, Roman Sokolov, Mikhail Belyaev

CoRR, January, 2025

Cirbo: A New Tool for Boolean Circuit Analysis and Synthesis.

Daniil Averkov, Tatiana Belova, Gregory Emdin, Mikhail Goncharov, Viktoriia Krivogornitsyna, Alexander S. Kulikov, Fedor Kurmazov, Daniil Levtsov, Georgie Levtsov, Vsevolod Vaskin, Aleksey Vorobiev

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Anatomical Positional Embeddings.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 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, Mikhail Goncharov, Eugenia Soboleva, Maria Donskova, Farukh Yaushev, Alexey Shevtsov, Alexey Zakharov, Talgat Saparov, Victor Gombolevskiy, Mikhail Belyaev

Proceedings of 2024 International Conference on Medical Imaging and Computer-Aided Diagnosis, 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

2022

CLEF: Contrastive Learning of Equivariant Features in CT Images.

Ilya Kuleshov, Mikhail Goncharov, Vera Soboleva

Proceedings of the Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation, 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

Quantification of Epicardial Adipose Tissue in Low-Dose Computed Tomography Images.

Mikhail Goncharov, Valeria Chernina, Maxim Pisov, Victor Gombolevskiy, Sergey Morozov, Mikhail Belyaev

Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2021

2019

Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection.

Maxim Pisov, Mikhail Goncharov, Nadezhda Kurochkina, Sergey Morozov, Victor Gombolevskiy, Valeria Chernina, Anton Vladzymyrskyy, Ksenia Zamyatina, Anna Chesnokova, Igor Pronin, Michael Shifrin, Mikhail Belyaev

Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support, 2019