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

Brain Tumor Recurrence vs. Radiation Necrosis Classification and Patient Survivability Prediction

脑肿瘤复发与放射性坏死分类及患者生存率预测

期刊:IEEE Journal of Biomedical and Health Informatics
影响因子:6.8
doi:10.1109/JBHI.2024.3406256
Sadique, M S; Farzana, W; Temtam, A; Lappinen, E; Vossough, A; Iftekharuddin, K M
肿瘤
肿瘤免疫
神经科学
发表日期：2024
文献求助 收藏

Prediction of Rapid Early Progression and Survival Risk with Pre-Radiation MRI in WHO Grade 4 Glioma Patients

利用放射治疗前MRI预测WHO 4级胶质瘤患者的早期快速进展和生存风险

期刊:Cancers
影响因子:4.4
doi:10.3390/cancers15184636
Farzana, Walia; Basree, Mustafa M; Diawara, Norou; Shboul, Zeina A; Dubey, Sagel; Lockhart, Marie M; Hamza, Mohamed; Palmer, Joshua D; Iftekharuddin, Khan M
胶质瘤
发表日期：2023
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Special Section Editorial: Artificial Intelligence for Medical Imaging in Clinical Practice

专题社论：人工智能在临床医学影像中的应用

期刊:Journal of Medical Imaging
影响因子:1.7
doi:10.1117/1.JMI.10.5.051801
Mello-Thoms, Claudia; Drukker, Karen; Taylor-Phillips, Sian; Iftekharuddin, Khan; Gavrielides, Marios
发表日期：2023
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Radiation Myelopathy: A Case Report and Literature Review

放射性脊髓病：病例报告及文献综述

期刊:Cureus Journal of Medical Science
影响因子:1.3
doi:10.7759/cureus.41362
Iftekharuddin, Anika; Gospodarev, Vadim; Hussain, Namath S
神经科学
发表日期：2023
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Deep Learning Based Superconducting Radio-Frequency Cavity Fault Classification at Jefferson Laboratory

杰斐逊实验室基于深度学习的超导射频腔故障分类

期刊:Frontiers in Artificial Intelligence
影响因子:4.7
doi:10.3389/frai.2021.718950
Vidyaratne, Lasitha; Carpenter, Adam; Powers, Tom; Tennant, Chris; Iftekharuddin, Khan M; Rahman, Md Monibor; Shabalina, Anna S
发表日期：2021
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Deep Neural Network Analysis of Pathology Images With Integrated Molecular Data for Enhanced Glioma Classification and Grading

结合分子数据的病理图像深度神经网络分析用于增强胶质瘤的分类和分级

期刊:Frontiers in Oncology
影响因子:3.3
doi:10.3389/fonc.2021.668694
Pei, Linmin; Jones, Karra A; Shboul, Zeina A; Chen, James Y; Iftekharuddin, Khan M
胶质瘤
发表日期：2021
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Joint Modeling of RNAseq and Radiomics Data for Glioma Molecular Characterization and Prediction

RNA测序和放射组学数据联合建模用于胶质瘤分子特征分析和预测

期刊:Frontiers in Medicine
影响因子:3
doi:10.3389/fmed.2021.705071
Shboul, Zeina A; Diawara, Norou; Vossough, Arastoo; Chen, James Y; Iftekharuddin, Khan M
胶质瘤
发表日期：2021
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Context aware deep learning for brain tumor segmentation, subtype classification, and survival prediction using radiology images

基于放射影像的上下文感知深度学习在脑肿瘤分割、亚型分类和生存预测中的应用

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-020-74419-9
Pei, Linmin; Vidyaratne, Lasitha; Rahman, Md Monibor; Iftekharuddin, Khan M
肿瘤
肿瘤免疫
神经科学
发表日期：2020
文献求助 收藏

Survey on Deep Neural Networks in Speech and Vision Systems

语音和视觉系统中的深度神经网络综述

期刊:
影响因子:
doi:10.1016/j.neucom.2020.07.053
Alam, M; Samad, M D; Vidyaratne, L; Glandon, A; Iftekharuddin, K M
发表日期：2020
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Glioblastoma and Survival Prediction

胶质母细胞瘤与生存预测

期刊:
影响因子:
doi:10.1007/978-3-319-75238-9_31
Shboul, Zeina; Vidyaratne, Lasitha; Alam, Mahbubul; Reza, Syed M S; Iftekharuddin, Khan M
细胞生物学
发表日期：2018
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