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

Applying Quantitative Radiographic Image Markers to Predict Clinical Complications After Aneurysmal Subarachnoid Hemorrhage: A Pilot Study

应用定量放射影像标志物预测动脉瘤性蛛网膜下腔出血后的临床并发症：一项初步研究

期刊:Annals of Biomedical Engineering
影响因子:5.4
doi:10.1007/s10439-022-02926-z
Danala, Gopichandh; Desai, Masoom; Ray, Bappaditya; Heidari, Morteza; Maryada, Sai Kiran R; Prodan, Calin I; Zheng, Bin
心血管
动脉瘤
发表日期：2022
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A Comparison of Computer-Aided Diagnosis Schemes Optimized Using Radiomics and Deep Transfer Learning Methods

基于放射组学和深度迁移学习方法的计算机辅助诊断方案比较

期刊:Bioengineering-Basel
影响因子:3.8
doi:10.3390/bioengineering9060256
Danala, Gopichandh; Maryada, Sai Kiran; Islam, Warid; Faiz, Rowzat; Jones, Meredith; Qiu, Yuchen; Zheng, Bin
发表日期：2022
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Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images

应用随机投影算法优化机器学习模型，利用CT图像预测胃癌患者的腹膜转移。

期刊:Computer Methods and Programs in Biomedicine
影响因子:4.8
doi:10.1016/j.cmpb.2021.105937
Mirniaharikandehei, Seyedehnafiseh; Heidari, Morteza; Danala, Gopichandh; Lakshmivarahan, Sivaramakrishnan; Zheng, Bin
胃癌
肿瘤
肿瘤免疫
发表日期：2021
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Developing global image feature analysis models to predict cancer risk and prognosis

开发全球图像特征分析模型以预测癌症风险和预后

期刊:Visual Computing for Industry, Biomedicine, and Art
影响因子:3.2
doi:10.1186/s42492-019-0026-5
Zheng, Bin; Qiu, Yuchen; Aghaei, Faranak; Mirniaharikandehei, Seyedehnafiseh; Heidari, Morteza; Danala, Gopichandh
肿瘤
肿瘤免疫
发表日期：2019
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Systemic response of coated-platelet and peripheral blood inflammatory cell indices after aneurysmal subarachnoid hemorrhage and long-term clinical outcome

动脉瘤性蛛网膜下腔出血后血小板涂层和外周血炎症细胞指标的系统性反应及长期临床结局

期刊:Journal of Critical Care
影响因子:2.9
doi:10.1016/j.jcrc.2019.03.003
Ray, Bappaditya; Ross, Stephen R; Danala, Gopichand; Aghaei, Faranak; Nouh, Claire Delpirou; Ford, Lance; Hollabaugh, Kimberly M; Karfonta, Brittany N; Santucci, Joshua A; Cornwell, Benjamin O; Bohnstedt, Bradley N; Zheng, Bin; Dale, George L; Prodan, Calin I
血小板
炎症
炎症/感染
心血管
细胞生物学
动脉瘤
发表日期：2019
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Prediction of breast cancer risk using a machine learning approach embedded with a locality preserving projection algorithm

利用嵌入局部保持投影算法的机器学习方法预测乳腺癌风险

期刊:Physics in Medicine and Biology
影响因子:3.4
doi:10.1088/1361-6560/aaa1ca
Heidari, Morteza; Khuzani, Abolfazl Zargari; Hollingsworth, Alan B; Danala, Gopichandh; Mirniaharikandehei, Seyedehnafiseh; Qiu, Yuchen; Liu, Hong; Zheng, Bin
肿瘤免疫
肿瘤
乳腺癌
发表日期：2018
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Applying Quantitative CT Image Feature Analysis to Predict Response of Ovarian Cancer Patients to Chemotherapy.

应用定量CT图像特征分析预测卵巢癌患者对化疗的反应

期刊:Academic Radiology
影响因子:3.9
doi:10.1016/j.acra.2017.04.014
Danala Gopichandh, Thai Theresa, Gunderson Camille C, Moxley Katherine M, Moore Kathleen, Mannel Robert S, Liu Hong, Zheng Bin, Qiu Yuchen
肿瘤
卵巢癌
发表日期：2017
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