日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Traditional machine learning in biomedical image analysis: before you go too deep

传统机器学习在生物医学图像分析中的应用:深入探讨之前

Chechekhina, Elizaveta; Voloshin, Nikita; Solopov, Maksim; Tyurin-Kuzmin, Pyotr; Kulebyakin, Konstantin

Comparative Study of Deep Transfer Learning Models for Semantic Segmentation of Human Mesenchymal Stem Cell Micrographs

深度迁移学习模型在人类间充质干细胞显微图像语义分割中的比较研究

Solopov, Maksim; Chechekhina, Elizaveta; Kavelina, Anna; Akopian, Gulnara; Turchin, Viktor; Popandopulo, Andrey; Filimonov, Dmitry; Ishchenko, Roman

Extracellular Vesicles of Adipose Multipotent Mesenchymal Stromal Cells Propagate Senescent Phenotype by Affecting PTEN Nuclear Import.

脂肪多能间充质基质细胞的细胞外囊泡通过影响 PTEN 核输入来传播衰老表型

Chechekhina Elizaveta, Kamenkov Semyon, Chechekhin Vadim, Zinoveva Anna, Bakhchinyan Elizaveta, Efimenko Anastasia, Kalinina Natalia, Tkachuk Vsevolod, Kulebyakin Konstantin, Tyurin-Kuzmin Pyotr

Current Trends and Future Opportunities of AI-Based Analysis in Mesenchymal Stem Cell Imaging: A Scoping Review

人工智能在间充质干细胞成像分析中的现状与未来机遇:范围综述

Solopov, Maksim; Chechekhina, Elizaveta; Turchin, Viktor; Popandopulo, Andrey; Filimonov, Dmitry; Burtseva, Anzhelika; Ishchenko, Roman

Evaluation of Transfer Learning Efficacy for Surgical Suture Quality Classification on Limited Datasets

基于有限数据集的外科缝合线质量分类迁移学习效果评估

Ishchenko, Roman; Solopov, Maksim; Popandopulo, Andrey; Chechekhina, Elizaveta; Turchin, Viktor; Popivnenko, Fedor; Ermak, Aleksandr; Ladyk, Konstantyn; Konyashin, Anton; Golubitskiy, Kirill; Burtsev, Aleksei; Filimonov, Dmitry