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

SFX-01 is therapeutic against myeloproliferative disorders caused by activating mutations in Shp2

SFX-01 是一种治疗由 Shp2 基因激活突变引起的骨髓增生性疾病的药物。

Hyun-Ju Cho # ,Joy Smith # ,Christopher H Switzer # ,Eleni Louka ,Rebecca L Charles ,Oleksandra Prysyazhna ,Ewald Schroder ,Mariana Fernandez-Caggiano ,Daniel Simoes de Jesus ,Seda Eminaga ,Xiaoke Yin ,Xiaoping Yang ,Steven Lynham ,Manuel Mayr ,Valle Morales ,Katiuscia Bianchi ,Vinothini Rajeeve ,Pedro R Cutillas ,Adam J Mead ,Philip Eaton

Electronic Documentation of Intraoperative Observation of Cystoscopic Procedures Using the cMDX Information System

利用cMDX信息系统对膀胱镜手术过程中的观察进行电子记录

Eminaga, Okyaz; Lee, Timothy Jiyong; La, Vinh; Breil, Bernhard; Xing, Lei; Liao, Joseph C

Deep learning identifies histopathologic changes in bladder cancers associated with smoke exposure status

深度学习识别与吸烟暴露状态相关的膀胱癌组织病理学变化

Eminaga, Okyaz; Lau, Hubert; Shkolyar, Eugene; Wardelmann, Eva; Abbas, Mahmoud

Author Correction: Artificial intelligence unravels interpretable malignancy grades of prostate cancer on histology images

作者更正:人工智能能够解读组织学图像中前列腺癌的恶性程度分级

Gnanapragasam, Vincent J; Eminaga, Okyaz; Saad, Fred; Tian, Zhe; Wolffgang, Ulrich; Karakiewicz, Pierre I; Ouellet, Véronique; Azzi, Feryel; Spieker, Tilmann; Helmke, Burkhard M; Graefen, Markus; Jiang, Xiaoyi; Xing, Lei; Witt, Jorn H; Trudel, Dominique; Leyh-Bannurah, Sami-Ramzi

Artificial intelligence unravels interpretable malignancy grades of prostate cancer on histology images

人工智能能够解读组织学图像中前列腺癌的恶性程度分级

Eminaga, Okyaz; Saad, Fred; Tian, Zhe; Wolffgang, Ulrich; Karakiewicz, Pierre I; Ouellet, Véronique; Azzi, Feryel; Spieker, Tilmann; Helmke, Burkhard M; Graefen, Markus; Jiang, Xiaoyi; Xing, Lei; Witt, Jorn H; Trudel, Dominique; Leyh-Bannurah, Sami-Ramzi

Critical evaluation of artificial intelligence as a digital twin of pathologists for prostate cancer pathology

对人工智能作为前列腺癌病理学中病理学家数字孪生体的批判性评估

Eminaga, Okyaz; Abbas, Mahmoud; Kunder, Christian; Tolkach, Yuri; Han, Ryan; Brooks, James D; Nolley, Rosalie; Semjonow, Axel; Boegemann, Martin; West, Robert; Long, Jin; Fan, Richard E; Bettendorf, Olaf

Tumor detection under cystoscopy with transformer-augmented deep learning algorithm

基于Transformer增强型深度学习算法的膀胱镜肿瘤检测

Jia, Xiao; Shkolyar, Eugene; Laurie, Mark A; Eminaga, Okyaz; Liao, Joseph C; Xing, Lei

Efficient Augmented Intelligence Framework for Bladder Lesion Detection

用于膀胱病变检测的高效增强智能框架

Eminaga, Okyaz; Lee, Timothy Jiyong; Laurie, Mark; Ge, T Jessie; La, Vinh; Long, Jin; Semjonow, Axel; Bogemann, Martin; Lau, Hubert; Shkolyar, Eugene; Xing, Lei; Liao, Joseph C

Inhibition of miR-199a-3p in a murine hypertrophic cardiomyopathy (HCM) model attenuates fibrotic remodeling

在小鼠肥厚性心肌病 (HCM) 模型中抑制 miR-199a-3p 可减轻纤维化重塑

Irina Zalivina, Temo Barwari, Xiaoke Yin, Sarah R Langley, Javier Barallobre-Barreiro, Hiroko Wakimoto, Anna Zampetaki, Manuel Mayr, Metin Avkiran, Seda Eminaga

Explainable artificial intelligence (XAI): closing the gap between image analysis and navigation in complex invasive diagnostic procedures

可解释人工智能(XAI):弥合复杂侵入性诊断程序中图像分析与导航之间的差距

O'Sullivan, S; Janssen, M; Holzinger, Andreas; Nevejans, Nathalie; Eminaga, O; Meyer, C P; Miernik, Arkadiusz