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

Towards deep-learning based detection and quantification of intestinal metaplasia on digitized gastric biopsies: a multi-expert comparative study

基于深度学习的数字化胃活检肠化生检测与定量：一项多专家比较研究

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-025-32737-w
Cano, Fabian; Caviedes, Mauricio; Siabatto, Andres; Villarreal, Jesus; Quijano, Jose; Bedoya-Urresta, Álvaro; Bedoya, Marino Coral; Caicedo, Yomaira Yepez; Cruz-Roa, Angel; González, Fabio A; Viswanath, Satish E; Romero, Eduardo
发表日期：2026
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Interpretable weakly-supervised learning through kernel density matrices: A digital pathology use case

基于核密度矩阵的可解释弱监督学习：数字病理学应用案例

期刊:PLoS One
影响因子:2.6
doi:10.1371/journal.pone.0335826
Medina, Sebastian; Romero, Eduardo; Cruz-Roa, Angel; González, Fabio A
发表日期：2025
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Metabolic and Low-Grade Inflammation Risk in Young Adults with a History of Extrauterine Growth Restriction

有宫外生长受限史的年轻成人的代谢和低度炎症风险

期刊:Nutrients
影响因子:5
doi:10.3390/nu16111608
Palomino-Fernández, Laura; Pastor-Villaescusa, Belén; Velasco, Inmaculada; Rico, María de la Cruz; Roa, Juan; Gil, Ángel; Gil-Campos, Mercedes
炎症/感染
Immunology/Inflammation
炎症
代谢
发表日期：2024
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High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection

基于卷积神经网络的高通量自适应采样全切片组织病理图像分析（HASHI）：在浸润性乳腺癌检测中的应用

期刊:PLoS One
影响因子:2.6
doi:10.1371/journal.pone.0196828
Cruz-Roa, Angel; Gilmore, Hannah; Basavanhally, Ajay; Feldman, Michael; Ganesan, Shridar; Shih, Natalie; Tomaszewski, John; Madabhushi, Anant; González, Fabio
肿瘤
肿瘤免疫
乳腺癌
发表日期：2018
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Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent

在全切片图像中准确且可重复地检测浸润性乳腺癌：一种用于量化肿瘤范围的深度学习方法

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/srep46450
Cruz-Roa, Angel; Gilmore, Hannah; Basavanhally, Ajay; Feldman, Michael; Ganesan, Shridar; Shih, Natalie N C; Tomaszewski, John; González, Fabio A; Madabhushi, Anant
肿瘤
肿瘤免疫
乳腺癌
发表日期：2017
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Automatic annotation of histopathological images using a latent topic model based on non-negative matrix factorization

基于非负矩阵分解的潜在主题模型对组织病理学图像进行自动标注

期刊:Journal of Pathology Informatics
影响因子:
doi:10.4103/2153-3539.92031
Cruz-Roa, Angel; Díaz, Gloria; Romero, Eduardo; González, Fabio A
发表日期：2011
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