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

Enhancing cancer differentiation with synthetic MRI examinations via generative models: a systematic review

利用生成模型增强合成磁共振成像检查的癌症分化能力：系统性综述

期刊:Insights into Imaging
影响因子:4.5
doi:10.1186/s13244-022-01315-3
Dimitriadis, Avtantil; Trivizakis, Eleftherios; Papanikolaou, Nikolaos; Tsiknakis, Manolis; Marias, Kostas
肿瘤
肿瘤免疫
发表日期：2022
文献求助 收藏

A neural pathomics framework for classifying colorectal cancer histopathology images based on wavelet multi-scale texture analysis

基于小波多尺度纹理分析的结直肠癌组织病理图像分类神经病理组学框架

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-021-94781-6
Trivizakis, Eleftherios; Ioannidis, Georgios S; Souglakos, Ioannis; Karantanas, Apostolos H; Tzardi, Maria; Marias, Kostas
肿瘤
肠癌
肿瘤免疫
发表日期：2021
文献求助 收藏

Emerging deep learning techniques using magnetic resonance imaging data applied in multiple sclerosis and clinical isolated syndrome patients (Review)

利用磁共振成像数据进行深度学习的新兴技术在多发性硬化症和临床孤立综合征患者中的应用（综述）

期刊:
影响因子:
doi:10.3892/etm.2021.10583
Kontopodis, Eleftherios E; Papadaki, Efrosini; Trivizakis, Eleftherios; Maris, Thomas G; Simos, Panagiotis; Papadakis, Georgios Z; Tsatsakis, Aristidis; Spandidos, Demetrios A; Karantanas, Apostolos; Marias, Kostas
神经科学
多发性硬化症
发表日期：2021
文献求助 收藏

Artificial intelligence radiogenomics for advancing precision and effectiveness in oncologic care (Review)

人工智能放射基因组学在提高肿瘤治疗精准性和有效性方面的应用（综述）

期刊:International Journal of Oncology
影响因子:4.9
doi:10.3892/ijo.2020.5063
Trivizakis, Eleftherios; Papadakis, Georgios Z; Souglakos, Ioannis; Papanikolaou, Nikolaos; Koumakis, Lefteris; Spandidos, Demetrios A; Tsatsakis, Aristidis; Karantanas, Apostolos H; Marias, Kostas
肿瘤
肿瘤免疫
发表日期：2020
文献求助 收藏

Interpretable artificial intelligence framework for COVID-19 screening on chest X-rays

用于胸部X光片COVID-19筛查的可解释人工智能框架

期刊:Experimental and Therapeutic Medicine
影响因子:2.3
doi:10.3892/etm.2020.8797
Tsiknakis, Nikos; Trivizakis, Eleftherios; Vassalou, Evangelia E; Papadakis, Georgios Z; Spandidos, Demetrios A; Tsatsakis, Aristidis; Sánchez-García, Jose; López-González, Rafael; Papanikolaou, Nikolaos; Karantanas, Apostolos H; Marias, Kostas
发表日期：2020
文献求助 收藏

Advancing COVID-19 differentiation with a robust preprocessing and integration of multi-institutional open-repository computer tomography datasets for deep learning analysis

利用强大的预处理和整合多机构开放存储库计算机断层扫描数据集，推进 COVID-19 的区分，以进行深度学习分析。

期刊:Experimental and Therapeutic Medicine
影响因子:2.3
doi:10.3892/etm.2020.9210
Trivizakis, Eleftherios; Tsiknakis, Nikos; Vassalou, Evangelia E; Papadakis, Georgios Z; Spandidos, Demetrios A; Sarigiannis, Dimosthenis; Tsatsakis, Aristidis; Papanikolaou, Nikolaos; Karantanas, Apostolos H; Marias, Kostas
发表日期：2020
文献求助 收藏

A novel deep learning architecture outperforming 'off‑the‑shelf' transfer learning and feature‑based methods in the automated assessment of mammographic breast density

一种新型深度学习架构在乳腺X线摄影密度自动评估方面优于“现成的”迁移学习和基于特征的方法。

期刊:Oncology Reports
影响因子:3.9
doi:10.3892/or.2019.7312
Trivizakis, Eleftherios; Ioannidis, Georgios S; Melissianos, Vasileios D; Papadakis, Georgios Z; Tsatsakis, Aristidis; Spandidos, Demetrios A; Marias, Kostas
发表日期：2019
文献求助 收藏