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)

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)

A Python software to evaluate geometric discrepancies between stereotactic CT and MR images in radiosurgery. - Bogdan D. Zavolovich; Irina I. Bannikova; Aleksandra Dalechina; Valery Kostjuchenko; Pavel N. Ryabov (BICA*AI, 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)

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)

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)