Mikhail Belyaev

Medicine · Health Sciences

3h-index149citations40works0.02yr avg
OpenAlex↗Google Scholar↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Radiomics and Machine Learning in Medical Imaging(14), Medical Imaging Techniques and Applications(9), Brain Tumor Detection and Classification(7), Advanced Neural Network Applications(6), Medical Imaging and Analysis(5)

Publications40 total

M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image Segmentation
arXiv (Cornell University)·2025Open Access
Hierarchical Loss and Geometric Mask Refinement for Multilabel Ribs Segmentation
2024
Hierarchical Loss And Geometric Mask Refinement For Multilabel Ribs Segmentation
arXiv (Cornell University)·2024Open Access
Redesigning Out-of-Distribution Detection on 3D Medical Images
arXiv (Cornell University)·2023Open Access
Limitations of Out-of-Distribution Detection in 3D Medical Image Segmentation
arXiv (Cornell University)·2023Open Access
Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation
Lecture notes in electrical engineering·2023· 3 cited
Negligible Effect of Brain MRI Data Preprocessing for Tumor Segmentation
SSRN Electronic Journal·2023· 1 citedOpen Access
Negligible Effect of Brain MRI Data Preprocessing for Tumor Segmentation
SSRN Electronic Journal·2023· 1 citedOpen Access
Solving Sample-Level Out-of-Distribution Detection on 3D Medical Images
arXiv (Cornell University)·2022· 1 citedOpen Access
Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation
arXiv (Cornell University)·2022· 1 citedOpen Access
Interpretable Vertebral Fracture Quantification via Anchor-Free Landmarks Localization
arXiv (Cornell University)·2022Open Access
Negligible effect of brain MRI data preprocessing for tumor segmentation
arXiv (Cornell University)·2022· 2 citedOpen Access
Adaptation to CT Reconstruction Kernels by Enforcing Cross-domain Feature Maps Consistency
arXiv (Cornell University)·2022Open Access
Biological Earth observation with animal sensors
Trends in Ecology & Evolution·2022· 124 citedOpen Access
Systematic Clinical Evaluation of A Deep Learning Method for Medical Image Segmentation: Radiosurgery Application
arXiv (Cornell University)·2021Open Access
Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back\n Projection Augmentation
arXiv (Cornell University)·2021Open Access
Type-Centric Kotlin Compiler Fuzzing: Preserving Test Program\n Correctness by Preserving Types
arXiv (Cornell University)·2020Open Access
First U-Net Layers Contain More Domain Specific Information Than The\n Last Ones
arXiv (Cornell University)·2020Open Access
VALIDATION OF DIAGNOSTIC ACCURACY OF ANARTIFICIAL INTELLIGENCE ALGORITHM FOR DETECTING MULTIPLE SCLEROSIS IN A CITY POLYCLINIC SETTING
Diagnostic radiology and radiotherapy·2020· 5 citedOpen Access
Universal Loss Reweighting to Balance Lesion Size Inequality in 3D\n Medical Image Segmentation
arXiv (Cornell University)·2020Open Access
page 1 of 2Next →

Frequent Co-authors

Boris Shirokikh(17), Anvar Kurmukov(9), Alexandra Dalechina(8), Maxim Pisov(7), Andrey Golanov(7), Anton Vasiliuk(5), Daria Frolova(5), Egor Krivov(5), Sergey Morozov(4), Victor А. Gombolevskiy(4), Alexey Shevtsov(4), Valery Kostjuchenko(4), Vladimir Itsykson(3), Ekaterina Kondrateva(3), П. С. Дружинина(3), U. Mueller(2), Martin Wikelski(2), L. V. Desinov(2), Mikhail A. Goncharov(2), Valeria Chernina(2)