Gaussian Process Regression for Structured Data Sets. - Mikhail Belyaev; Evgeny Burnaev; Yermek Kapushev (SLDS, 2015)

Dimensionality reduction with isomap algorithm for EEG covariance matrices. - Egor Krivov; Mikhail Belyaev (BCI, 2016)

Classification of structural brain networks based on information divergence of graph spectra. - Yulia Dodonova; Sergey Korolev; Anna Tkachev; Dmitry Petrov; Leonid Zhukov; Mikhail Belyaev (MLSP, 2016)

Filter bank extension for neural network-based motor imagery classification. - Pavel Merinov; Mikhail Belyaev; Egor Krivov (MLSP, 2016)

Boosting connectome classification via combination of geometric and topological normalizations. - Dmitry Petrov; Yulia Dodonova; Leonid Zhukov; Mikhail Belyaev (PRNI, 2016)

GTApprox: Surrogate modeling for industrial design. - Mikhail Belyaev; Evgeny Burnaev; Ermek Kapushev; Maxim Panov; Pavel V. Prikhodko; Dmitry P. Vetrov; Dmitry Yarotsky (Adv. Eng. Softw., 2016)

Kernel classification of connectomes based on earth mover's distance between graph spectra. - Yulia Dodonova; Mikhail Belyaev; Anna Tkachev; Dmitry Petrov; Leonid Zhukov (CoRR, 2016)

Residual and plain convolutional neural networks for 3D brain MRI classification. - Sergey Korolev; Amir Safiullin; Mikhail Belyaev; Yulia Dodonova (ISBI, 2017)

Structural connectome validation using pairwise classification. - Dmitry Petrov; Boris Gutman; Alexander Ivanov 003; Joshua Faskowitz; Neda Jahanshad; Mikhail Belyaev; Paul M. Thompson (ISBI, 2017)

MRI Augmentation via Elastic Registration for Brain Lesions Segmentation. - Egor Krivov; Maxim Pisov; Mikhail Belyaev (BrainLes@MICCAI, 2017)

Ensembling Neural Networks for Digital Pathology Images Classification and Segmentation. - Artem Pimkin; Gleb Makarchuk; Vladimir Kondratenko; Maxim Pisov; Egor Krivov; Mikhail Belyaev (ICIAR, 2018)

Tumor Delineation for Brain Radiosurgery by a ConvNet and Non-uniform Patch Generation. - Egor Krivov; Valery Kostjuchenko; Alexandra Dalechina; Boris Shirokikh; Gleb Makarchuk; Alexander Denisenko; Andrey Golanov; Mikhail Belyaev (Patch-MI@MICCAI, 2018)

Predicting Conversion of Mild Cognitive Impairments to Alzheimer's Disease and Exploring Impact of Neuroimaging. - Yaroslav Shmulev; Mikhail Belyaev (GRAIL/Beyond-MIC@MICCAI, 2018)

Brain Tumor Image Retrieval via Multitask Learning. - Maxim Pisov; Gleb Makarchuk; Valery Kostjuchenko; Alexandra Dalechina; Andrey Golanov; Mikhail Belyaev (CoRR, 2018)

Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective Clinical Evaluation. - Boris Shirokikh; Alexandra Dalechina; Alexey Shevtsov; Egor Krivov; Valery Kostjuchenko; Amayak Durgaryan; Mikhail Galkin 002; Ivan Osinov; Andrey Golanov; Mikhail Belyaev (BrainLes@MICCAI (1), 2019)

Segthor: Segmentation of Thoracic Organs at Risk in CT Images. - Vladimir Kondratenko; Dmitry Denisenko; Artem Pimkin; Mikhail Belyaev (SegTHOR@ISBI, 2019)

Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection. - Maxim Pisov; Mikhail Goncharov; Nadezhda Kurochkina; Sergey Morozov 002; Victor Gombolevskiy; Valeria Chernina; Anton Vladzymyrskyy; Ksenia Zamyatina; Anna Chesnokova; Igor Pronin; Michael Shifrin; Mikhail Belyaev (iMIMIC/ML-CDS@MICCAI, 2019)

Multi-domain CT metal artifacts reduction using partial convolution based inpainting. - Artem Pimkin; Alexander Samoylenko; Natalia Antipina; Anna Ovechkina; Andrey Golanov; Alexandra Dalechina; Mikhail Belyaev (CoRR, 2019)

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. - Hugo J. Kuijf; Adrià Casamitjana; D. Louis Collins; Mahsa Dadar; Achilleas Georgiou; Mohsen Ghafoorian; Dakai Jin; April Khademi; Jesse Knight; Hongwei Li 004; Xavier Lladó; J. Matthijs Biesbroek; et al. (IEEE Trans. Medical Imaging, 2019)

Multidomain CT Metal Artifacts Reduction Using Partial Convolution Based Inpainting. - Artem Pimkin; Alexander Samoylenko; Natalia Antipina; Anna Ovechkina; Andrey Golanov; Alexandra Dalechina; Mikhail Belyaev (IJCNN, 2020)

Keypoints Localization for Joint Vertebra Detection and Fracture Severity Quantification. - Maxim Pisov; Vladimir Kondratenko; Alexey Zakharov; Alexey Petraikin; Victor Gombolevskiy; Sergey Morozov 002; Mikhail Belyaev (MICCAI (6), 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 (MICCAI (4), 2020)

First U-Net Layers Contain More Domain Specific Information Than the Last Ones. - Boris Shirokikh; Ivan Zakazov; Alexey Chernyavskiy; Irina Fedulova; Mikhail Belyaev (DART/DCL@MICCAI, 2020)

Quantification of Epicardial Adipose Tissue in Low-Dose Computed Tomography Images. - Mikhail Goncharov; Valeria Chernina; Maxim Pisov; Victor Gombolevskiy; Sergey Morozov 002; Mikhail Belyaev (MICAD, 2021)

Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection Augmentation. - Talgat Saparov; Anvar Kurmukov; Boris Shirokikh; Mikhail Belyaev (DGM4MICCAI/DALI@MICCAI, 2021)

Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation. - Ivan Zakazov; Boris Shirokikh; Alexey Chernyavskiy; Mikhail Belyaev (MICCAI (3), 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 (MIE, 2021)

Accelerating 3D Medical Image Segmentation by Adaptive Small-Scale Target Localization. - Boris Shirokikh; Alexey Shevtsov; Alexandra Dalechina; Egor Krivov; Valery Kostjuchenko; Andrey Golanov; Victor Gombolevskiy; Sergey Morozov 002; Mikhail Belyaev (J. Imaging, 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 002; Mikhail Belyaev (Medical Image Anal., 2021)

Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation. - Anton Vasiliuk; Daria Frolova; Mikhail Belyaev; Boris Shirokikh (MICAD, 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)

Adaptation to CT Reconstruction Kernels by Enforcing Cross-Domain Feature Maps Consistency. - Stanislav Shimovolos; Andrey Shushko; Mikhail Belyaev; Boris Shirokikh (J. Imaging, 2022)

Systematic Clinical Evaluation of a Deep Learning Method for Medical Image Segmentation: Radiosurgery Application. - Boris Shirokikh; Alexandra Dalechina; Alexey Shevtsov; Egor Krivov; Valery Kostjuchenko; Amayak Durgaryan; Mikhail Galkin 002; Andrey Golanov; Mikhail Belyaev (IEEE J. Biomed. Health Informatics, 2022)

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 (MICCAI (1), 2023)

Redesigning Out-of-Distribution Detection on 3D Medical Images. - Anton Vasiliuk; Daria Frolova; Mikhail Belyaev; Boris Shirokikh (UNSURE@MICCAI, 2023)

Limitations of Out-of-Distribution Detection in 3D Medical Image Segmentation. - Anton Vasiliuk; Daria Frolova; Mikhail Belyaev; Boris Shirokikh (J. Imaging, 2023)

Interpretable vertebral fracture quantification via anchor-free landmarks localization. - Alexey Zakharov; Maxim Pisov; Alim Bukharaev; Alexey Petraikin; Sergey Morozov 002; Victor Gombolevskiy; Mikhail Belyaev (Medical Image Anal., 2023)

Hierarchical Loss and Geometric Mask Refinement for Multilabel Ribs Segmentation. - Aleksei Leonov; Aleksei Zakharov; Sergey Koshelev; Maxim Pisov; Anvar Kurmukov; Mikhail Belyaev (ISBI, 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; et al. (MICAD, 2024)

Anatomical Positional Embeddings. - Mikhail Goncharov; Valentin Samokhin; Eugenia Soboleva; Roman Sokolov; Boris Shirokikh; Mikhail Belyaev; Anvar Kurmukov; Ivan V. Oseledets (MICCAI (10), 2024)

Robust Curve Detection in Volumetric Medical Imaging via Attraction Field. - Farukh Yaushev; Daria Nogina; Valentin Samokhin; Mariya Dugova; Ekaterina Petrash; Dmitry Sevryukov; Mikhail Belyaev; Maxim Pisov (ShapeMI@MICCAI, 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)

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; et al. (CoRR, 2024)

Medical Semantic Segmentation with Diffusion Pretrain. - David Li 004; Anvar Kurmukov; Mikhail Goncharov; Roman Sokolov; Mikhail Belyaev (CoRR, 2025)

M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image Segmentation. - Boris Shirokikh; Anvar Kurmukov; Maria Donskova; Valentin Samokhin; Mikhail Belyaev; Ivan V. Oseledets (CoRR, 2025)