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

CT-derived Body Composition Radiomics to Predict Early Recurrence in Intrahepatic Cholangiocarcinoma

CT衍生体成分放射组学预测肝内胆管癌早期复发

期刊:Radiology-Imaging Cancer
影响因子:6.3
doi:10.1148/rycan.259039
Singh, Yashbir
肿瘤
胆管癌
肿瘤免疫
发表日期：2026
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Impact of Upfront PSMA PET/CT Staging on Real-World Treatment Selection in High-Risk Prostate Cancer

PSMA PET/CT 早期分期对高危前列腺癌患者真实世界治疗选择的影响

期刊:Radiology-Imaging Cancer
影响因子:6.3
doi:10.1148/rycan.269002
Nikanpour, Yalda; Singh, Yashbir
肿瘤
前列腺癌
肿瘤免疫
发表日期：2026
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AI Do's and Don'ts in Cancer Imaging: Remembering the Patient Behind the Pixel

癌症影像中的人工智能应用指南：像素背后的患者

期刊:Radiology-Imaging Cancer
影响因子:6.3
doi:10.1148/rycan.260002
Zandieh, Ghazal; Singh, Yashbir; DeSilvio, Thomas; Flannery, Brennan
肿瘤
肿瘤免疫
发表日期：2026
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Beyond the Black Box: Explainable AI Transforms Hepatocellular Carcinoma Diagnosis at MRI

突破黑箱：可解释人工智能革新磁共振成像肝细胞癌诊断

期刊:Radiology-Imaging Cancer
影响因子:6.3
doi:10.1148/rycan.250198
Singh, Yashbir; Gores, Gregory J; Erickson, Bradley J
细胞生物学
肿瘤
肿瘤免疫
发表日期：2025
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Large-Scale CT Dataset with Complete Phase Coverage Advances Primary Liver Cancer AI Diagnostics

具有完整相位覆盖的大规模CT数据集推动了原发性肝癌人工智能诊断的发展

期刊:Radiology-Imaging Cancer
影响因子:6.3
doi:10.1148/rycan.259021
Singh, Yashbir
肿瘤
肝癌
肿瘤免疫
发表日期：2025
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Critical dialogue: Can AI-based imaging predict tumor biology? Infer metastasis, microvascular invasion, and growth patterns from pixels

关键对话：基于人工智能的成像技术能否预测肿瘤生物学特性？从像素推断转移、微血管侵袭和生长模式

期刊:Insights into Imaging
影响因子:4.5
doi:10.1186/s13244-025-02136-w
Singh, Yashbir; Gores, Gregory J; Andersen, Jesper B; Salehi, Sara; Erickson, Bradley J
肿瘤
肿瘤免疫
发表日期：2025
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Nano DAP augments productivity, phosphorus use efficiency, and profitability of spring wheat

纳米磷酸二铵可提高春小麦的产量、磷肥利用效率和盈利能力。

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-025-92364-3
Reddy, Kadapa Sreenivasa; Shivay, Yashbir Singh; Kumar, Dinesh; Parida, Binaya Kumar; Bora, Ramakrishna; Borate, Rohit Bapurao; Das, Kajal; Mandi, Sunil; Nayak, Somanath; Baral, Kirttiranjan; Alekhya, Gunturi
发表日期：2025
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Beyond Post hoc Explanations: A Comprehensive Framework for Accountable AI in Medical Imaging Through Transparency, Interpretability, and Explainability

超越事后解释：通过透明度、可解释性和可解释性构建医学影像领域负责任人工智能的综合框架

期刊:Bioengineering-Basel
影响因子:3.8
doi:10.3390/bioengineering12080879
Singh, Yashbir; Hathaway, Quincy A; Keishing, Varekan; Salehi, Sara; Wei, Yujia; Horvat, Natally; Vera-Garcia, Diana V; Choudhary, Ashok; Mula Kh, Almurtadha; Quaia, Emilio; Andersen, Jesper B
发表日期：2025
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Beyond Single Systems: How Multi-Agent AI Is Reshaping Ethics in Radiology

超越单一系统：多智能体人工智能如何重塑放射学伦理

期刊:Bioengineering-Basel
影响因子:3.8
doi:10.3390/bioengineering12101100
Salehi, Sara; Singh, Yashbir; Habibi, Parnian; Erickson, Bradley J
发表日期：2025
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Agentic AI and Large Language Models in Radiology: Opportunities and Hallucination Challenges

放射学中的智能体人工智能和大型语言模型：机遇与挑战

期刊:Bioengineering-Basel
影响因子:3.8
doi:10.3390/bioengineering12121303
Salehi, Sara; Singh, Yashbir; Horst, Kelly K; Hathaway, Quincy A; Erickson, Bradley J
发表日期：2025
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