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

Self-organization of mouse embryonic stem cells into reproducible pre-gastrulation embryo models via CRISPRa programming.

通过 CRISPRa 编程将小鼠胚胎干细胞自组织成可重复的原肠胚形成前胚胎模型

期刊:Cell Stem Cell
影响因子:20.4
doi:10.1016/j.stem.2025.02.015
Lodewijk Gerrald A, Kozuki Sayaka, Han Clara J, Topacio Benjamin R, Lee Seungho, Nixon Lily, Zargari Abolfazl, Knight Gavin, Ashton Randolph, Qi Lei S, Shariati S Ali
发育与干细胞
细胞生物学
Mouse
肠道菌群
发表日期：2025
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Enhanced cell tracking using a GAN-based super-resolution video-to-video time-lapse microscopy generative model

基于生成对抗网络（GAN）的超分辨率视频到视频延时显微成像生成模型增强细胞追踪

期刊:iScience
影响因子:4.1
doi:10.1016/j.isci.2025.112225
Zargari, Abolfazl; Mashhadi, Najmeh; Shariati, S Ali
GAN
细胞生物学
发表日期：2025
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E2F1 induces a G0-G1 reentry transcriptional program without changing chromatin accessibility.

E2F1 诱导 G0-G1 再入转录程序，而不改变染色质可及性。

期刊:
影响因子:
doi:10.1101/2025.09.23.678145
Lodewijk Gerrald A, Topacio Benjamin R, Lee Seungho, Kozuki Sayaka, Williams Znala, Han Clara J, Zargari Abolfazl, Wijeratne Tilini U, Bidoki Neda, Arabian Silvart, Wu Edward, Malekos Eric, Weiss Joscha, Müller Gerd A, Jonsson Vanessa, Thomä Nicolas H, Rubin Seth M, Shariati S Ali
E2F1
发表日期：2025
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Applying a new quantitative image analysis scheme based on global mammographic features to assist diagnosis of breast cancer

应用基于全局乳腺X线摄影特征的新型定量图像分析方案辅助乳腺癌诊断

期刊:Computer Methods and Programs in Biomedicine
影响因子:4.8
doi:10.1016/j.cmpb.2019.104995
Chen, Xuxin; Zargari, Abolfazl; Hollingsworth, Alan B; Liu, Hong; Zheng, Bin; Qiu, Yuchen
肿瘤
肿瘤免疫
乳腺癌
发表日期：2019
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Classification of Tumor Epithelium and Stroma by Exploiting Image Features Learned by Deep Convolutional Neural Networks

利用深度卷积神经网络学习到的图像特征对肿瘤上皮和间质进行分类

期刊:Annals of Biomedical Engineering
影响因子:5.4
doi:10.1007/s10439-018-2095-6
Du, Yue; Zhang, Roy; Zargari, Abolfazl; Thai, Theresa C; Gunderson, Camille C; Moxley, Katherine M; Liu, Hong; Zheng, Bin; Qiu, Yuchen
肿瘤免疫
肿瘤
发表日期：2018
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Prediction of chemotherapy response in ovarian cancer patients using a new clustered quantitative image marker

利用新型聚类定量图像标记预测卵巢癌患者的化疗反应

期刊:Physics in Medicine and Biology
影响因子:3.4
doi:10.1088/1361-6560/aad3ab
Zargari, Abolfazl; Du, Yue; Heidari, Morteza; Thai, Theresa C; Gunderson, Camille C; Moore, Kathleen; Mannel, Robert S; Liu, Hong; Zheng, Bin; Qiu, Yuchen
卵巢癌
肿瘤
肿瘤免疫
发表日期：2018
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