Maxim Pisov

According to our database, Maxim Pisov authored at least 10 papers between 2017 and 2023.

Collaborative distances:

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

2023

Interpretable vertebral fracture quantification via anchor-free landmarks localization.

Alexey Zakharov, Maxim Pisov, Alim Bukharaev, Alexey Petraikin, Sergey Morozov, Victor Gombolevskiy, Mikhail Belyaev

Medical Image Anal., 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

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

2020

Keypoints Localization for Joint Vertebra Detection and Fracture Severity Quantification.

Maxim Pisov, Vladimir Kondratenko, Alexey Zakharov, Alexey Petraikin, Victor Gombolevskiy, Sergey Morozov, Mikhail Belyaev

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

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

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

2018

Brain Tumor Image Retrieval via Multitask Learning.

Maxim Pisov, Gleb Makarchuk, Valery Kostjuchenko, Alexandra Dalechina, Andrey Golanov, Mikhail Belyaev

CoRR, 2018

Ensembling Neural Networks for Digital Pathology Images Classification and Segmentation.

Artem Pimkin, Gleb Makarchuk, Vladimir Kondratenko, Maxim Pisov, Egor Krivov, Mikhail Belyaev

Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

2017

MRI Augmentation via Elastic Registration for Brain Lesions Segmentation.

Egor Krivov, Maxim Pisov, Mikhail Belyaev

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017