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

Artificial intelligence-based prediction of neurocardiovascular risk score from retinal swept-source optical coherence tomography-angiography

基于人工智能的视网膜扫频源光学相干断层扫描血管成像技术预测神经心血管风险评分

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-024-78587-w
Germanese, C; Anwer, A; Eid, P; Steinberg, L-A; Guenancia, C; Gabrielle, P-H; Creuzot-Garcher, C; Meriaudeau, F; Arnould, L
发表日期：2024
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Enhancing COVID-19 CT Image Segmentation: A Comparative Study of Attention and Recurrence in UNet Models

增强 COVID-19 CT 图像分割：UNet 模型中注意力机制和循环机制的比较研究

期刊:Journal of Imaging
影响因子:3.3
doi:10.3390/jimaging9120283
Buongiorno, Rossana; Del Corso, Giulio; Germanese, Danila; Colligiani, Leonardo; Python, Lorenzo; Romei, Chiara; Colantonio, Sara
发表日期：2023
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Using Artificial Intelligence to Analyse the Retinal Vascular Network: The Future of Cardiovascular Risk Assessment Based on Oculomics? A Narrative Review

利用人工智能分析视网膜血管网络：基于眼组学的心血管风险评估的未来？一篇叙述性综述

期刊:Ophthalmology and Therapy
影响因子:3.2
doi:10.1007/s40123-022-00641-5
Arnould, Louis; Meriaudeau, Fabrice; Guenancia, Charles; Germanese, Clément; Delcourt, Cécile; Kawasaki, Ryo; Cheung, Carol Y; Creuzot-Garcher, Catherine; Grzybowski, Andrzej
发表日期：2023
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Can Magnetic Resonance Radiomics Analysis Discriminate Parotid Gland Tumors? A Pilot Study

磁共振放射组学分析能否鉴别腮腺肿瘤？一项初步研究

期刊:Diagnostics
影响因子:3.3
doi:10.3390/diagnostics10110900
Gabelloni, Michela; Faggioni, Lorenzo; Attanasio, Simona; Vani, Vanina; Goddi, Antonio; Colantonio, Sara; Germanese, Danila; Caudai, Claudia; Bruschini, Luca; Scarano, Mariella; Seccia, Veronica; Neri, Emanuele
肿瘤
肿瘤免疫
发表日期：2020
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