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

Combined Gastric Electrical Stimulation and Pyloroplasty in Gastroparesis: A Randomized Clinical Trial

胃轻瘫患者接受胃电刺激联合幽门成形术的随机临床试验

Sarosiek, Irene; Bashashati, Mohammad; Davis, Brian R; Espino, Karina; Vasquez, Denise; Torelli, Ryan; Bright, Tamis; Sarosiek, Jerzy; Diaz, Jesus R; Padilla, Osvaldo; Dwivedi, Alok K; McCallum, Richard W

A Deep Learning Framework for Classification of Neuroendocrine Neoplasm Whole Slide Images

一种用于神经内分泌肿瘤全切片图像分类的深度学习框架

Hadjifaradji, Amir; Diaz-Stewart, Michael; Chu, Jenny; Farnell, David; Schaeffer, David; Farahani, Hossein; Bashashati, Ali; Loree, Jonathan M

Benchmarking histopathology foundation models for ovarian cancer bevacizumab treatment response prediction from whole slide images

基于全切片图像对卵巢癌贝伐单抗治疗反应预测的组织病理学基础模型进行基准测试

Mallya, Mayur; Mirabadi, Ali Khajegili; Farnell, David; Farahani, Hossein; Bashashati, Ali

AI-based histopathology image analysis reveals a distinct subset of endometrial cancers

基于人工智能的组织病理学图像分析揭示了子宫内膜癌的一个独特亚群

Darbandsari, Amirali; Farahani, Hossein; Asadi, Maryam; Wiens, Matthew; Cochrane, Dawn; Khajegili Mirabadi, Ali; Jamieson, Amy; Farnell, David; Ahmadvand, Pouya; Douglas, Maxwell; Leung, Samuel; Abolmaesumi, Purang; Jones, Steven J M; Talhouk, Aline; Kommoss, Stefan; Gilks, C Blake; Huntsman, David G; Singh, Naveena; McAlpine, Jessica N; Bashashati, Ali

VOLTA: an enVironment-aware cOntrastive ceLl represenTation leArning for histopathology

VOLTA:一种面向组织病理学的环境感知对比细胞表示学习方法

Nakhli, Ramin; Rich, Katherine; Zhang, Allen; Darbandsari, Amirali; Shenasa, Elahe; Hadjifaradji, Amir; Thiessen, Sidney; Milne, Katy; Jones, Steven J M; McAlpine, Jessica N; Nelson, Brad H; Gilks, C Blake; Farahani, Hossein; Bashashati, Ali

Learning generalizable AI models for multi-center histopathology image classification

学习可泛化的AI模型用于多中心组织病理学图像分类

Asadi-Aghbolaghi, Maryam; Darbandsari, Amirali; Zhang, Allen; Contreras-Sanz, Alberto; Boschman, Jeffrey; Ahmadvand, Pouya; Köbel, Martin; Farnell, David; Huntsman, David G; Churg, Andrew; Black, Peter C; Wang, Gang; Gilks, C Blake; Farahani, Hossein; Bashashati, Ali

Benchmarking bulk and single-cell variant-calling approaches on Chromium scRNA-seq and scATAC-seq libraries

在 Chromium scRNA-seq 和 scATAC-seq 文库上对批量和单细胞变异调用方法进行基准测试

Matthew Wiens, Hossein Farahani, R Wilder Scott, T Michael Underhill #, Ali Bashashati #

Practical Application of Deep Learning in Diagnostic Neuropathology-Reimagining a Histological Asset in the Era of Precision Medicine

深度学习在诊断神经病理学中的实际应用——在精准医疗时代重塑组织学资产

Rich, Katherine; Tosefsky, Kira; Martin, Karina C; Bashashati, Ali; Yip, Stephen

A Deep Learning Approach for the Identification of the Molecular Subtypes of Pancreatic Ductal Adenocarcinoma Based on Whole Slide Pathology Images

基于全切片病理图像的胰腺导管腺癌分子亚型识别的深度学习方法

Ahmadvand, Pouya; Farahani, Hossein; Farnell, David; Darbandsari, Amirali; Topham, James; Karasinska, Joanna; Nelson, Jessica; Naso, Julia; Jones, Steven J M; Renouf, Daniel; Schaeffer, David F; Bashashati, Ali

Prostate Cancer Risk Stratification by Digital Histopathology and Deep Learning

基于数字组织病理学和深度学习的前列腺癌风险分层

Shao, Yanan; Bazargani, Roozbeh; Karimi, Davood; Wang, Jane; Fazli, Ladan; Goldenberg, S Larry; Gleave, Martin E; Black, Peter C; Bashashati, Ali; Salcudean, Septimiu