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

Artificial Intelligence Assistive Software Tool for Automated Detection and Quantification of Amyloid-Related Imaging Abnormalities

用于自动检测和量化淀粉样蛋白相关影像异常的人工智能辅助软件工具

Sima, Diana M; Phan, Thanh Vân; Van Eyndhoven, Simon; Vercruyssen, Sophie; Magalhães, Ricardo; Liseune, Arno; Brys, Arne; Frenyo, Peter; Terzopoulos, Vasilis; Maes, Celine; Guo, Joshua; Hughes, Richard; Gabr, Refaat E; Huijbers, Willem; Saha-Chaudhuri, Paramita; Curiale, Gioacchino G; Becker, Andrew; Belachew, Shibeshih; Van Hecke, Wim; Ribbens, Annemie; Smeets, Dirk

Functional assessment of the dural lymphatic vessels using dynamic contrast MRI in multiple sclerosis

利用动态对比磁共振成像对多发性硬化症患者的硬脑膜淋巴管进行功能评估

Gabr, Refaat E; Lincoln, John A; Hasan, Khader M; Kramer, Larry A

Identifying the white matter pathways involved in multiple sclerosis-related tremor using diffusion tensor imaging.

利用弥散张量成像技术识别与多发性硬化症相关震颤有关的白质通路

Bayoumi Ahmed, Hasan Khader M, Patino Jorge, Keser Zafer, Thomas Joseph A, Gabr Refaat E, Pedroza Claudia, Kamali Arash, Schiess Mya C, Wolinsky Jerry S, Lincoln John A

Characterizing the time course of cerebrovascular reactivity in multiple sclerosis

多发性硬化症脑血管反应性的时间进程特征

Lincoln, John A; Hasan, Khader M; Gabr, Refaat E; Wolinsky, Jerry S

Deep Learning for Predicting Enhancing Lesions in Multiple Sclerosis from Noncontrast MRI

利用深度学习从非增强磁共振成像预测多发性硬化症的增强病灶

Narayana, Ponnada A; Coronado, Ivan; Sujit, Sheeba J; Wolinsky, Jerry S; Lublin, Fred D; Gabr, Refaat E

Brain and lesion segmentation in multiple sclerosis using fully convolutional neural networks: A large-scale study

利用全卷积神经网络对多发性硬化症的脑组织和病灶进行分割:一项大规模研究

Gabr, Refaat E; Coronado, Ivan; Robinson, Melvin; Sujit, Sheeba J; Datta, Sushmita; Sun, Xiaojun; Allen, William J; Lublin, Fred D; Wolinsky, Jerry S; Narayana, Ponnada A

Platform for Automated Real-Time High Performance Analytics on Medical Image Data

用于医学图像数据自动化实时高性能分析的平台

Allen, William J; Gabr, Refaat E; Tefera, Getaneh B; Pednekar, Amol S; Vaughn, Matthew W; Narayana, Ponnada A

Serial quantitative neuroimaging of iron in the intracerebral hemorrhage pig model

脑出血猪模型中铁的连续定量神经影像学研究

Haque, Muhammad E; Gabr, Refaat E; Zhao, Xiurong; Hasan, Khader M; Valenzuela, Andrew; Narayana, Ponnada A; Ting, Shun-Ming; Sun, Guanghua; Savitz, Sean I; Aronowski, Jaroslaw

Prospective in silico study of the feasibility and dosimetric advantages of MRI-guided dose adaptation for human papillomavirus positive oropharyngeal cancer patients compared with standard IMRT

前瞻性计算机模拟研究:比较磁共振引导剂量调整与标准调强放射治疗在人乳头瘤病毒阳性口咽癌患者中的可行性和剂量学优势。

Mohamed, Abdallah S R; Bahig, Houda; Aristophanous, Michalis; Blanchard, Pierre; Kamal, Mona; Ding, Yao; Cardenas, Carlos E; Brock, Kristy K; Lai, Stephen Y; Hutcheson, Katherine A; Phan, Jack; Wang, Jihong; Ibbott, Geoffrey; Gabr, Refaat E; Narayana, Ponnada A; Garden, Adam S; Rosenthal, David I; Gunn, G Brandon; Fuller, Clifton D

GRAPE: a graphical pipeline environment for image analysis in adaptive magnetic resonance imaging

GRAPE:用于自适应磁共振成像图像分析的图形化流程环境

Gabr, Refaat E; Tefera, Getaneh B; Allen, William J; Pednekar, Amol S; Narayana, Ponnada A