Tachos相关文献与解析，生知库 | 链接生命科学的每一步

Kalokyri, Varvara; Tachos, Nikolaos S; Kalantzopoulos, Charalampos N; Sfakianakis, Stelios; Kondylakis, Haridimos; Zaridis, Dimitrios I; Colantonio, Sara; Regge, Daniele; Papanikolaou, Nikolaos; Marias, Konstantinos; Fotiadis, Dimitrios I; Tsiknakis, Manolis

发表日期：2025

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Simplatab: An Automated Machine Learning Framework for Radiomics-Based Bi-Parametric MRI Detection of Clinically Significant Prostate Cancer

Simplatab：一种基于放射组学的双参数磁共振成像检测临床显著性前列腺癌的自动化机器学习框架

期刊:Bioengineering-Basel

影响因子:3.8

doi:10.3390/bioengineering12030242

Zaridis, Dimitrios I; Pezoulas, Vasileios C; Mylona, Eugenia; Kalantzopoulos, Charalampos N; Tachos, Nikolaos S; Tsiknakis, Nikos; Matsopoulos, George K; Regge, Daniele; Papanikolaou, Nikolaos; Tsiknakis, Manolis; Marias, Kostas; Fotiadis, Dimitrios I

Exploring New Tools in Upper Limb Rehabilitation After Stroke Using an Exoskeletal Aid: A Pilot Randomized Control Study

利用外骨骼辅助设备探索中风后上肢康复的新方法：一项初步随机对照研究

期刊:Healthcare

影响因子:2.7

doi:10.3390/healthcare13010091

Syringas, Pantelis; Potsika, Vassiliki; Tachos, Nikolaos; Pardalis, Athanasios; Papaioannou, Christoforos; Mitsis, Alexandros; Pakos, Emilios E; Zestas, Orestis N; Papagiannis, Georgios; Triantafyllou, Athanasios; Tselikas, Nikolaos D; Yiannopoulou, Konstantina G; Papathanasiou, George; Georgoudis, George; Bakalidou, Daphne; Kyriakidou, Maria; Gkrilias, Panagiotis; Kakkos, Ioannis; Matsopoulos, George K; Fotiadis, Dimitrios I

ProLesA-Net: A multi-channel 3D architecture for prostate MRI lesion segmentation with multi-scale channel and spatial attentions

ProLesA-Net：一种用于前列腺MRI病灶分割的多通道3D架构，具有多尺度通道和空间注意力机制

期刊:Patterns

影响因子:7.4

doi:10.1016/j.patter.2024.100992

Zaridis, Dimitrios I; Mylona, Eugenia; Tsiknakis, Nikos; Tachos, Nikolaos S; Matsopoulos, George K; Marias, Kostas; Tsiknakis, Manolis; Fotiadis, Dimitrios I

3D/类器官

发表日期：2024

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Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences

优化放射组学在前列腺癌诊断中的应用：特征选择策略、机器学习分类器和MRI序列

期刊:Insights into Imaging

影响因子:4.5

doi:10.1186/s13244-024-01783-9

Mylona, Eugenia; Zaridis, Dimitrios I; Kalantzopoulos, Charalampos Ν; Tachos, Nikolaos S; Regge, Daniele; Papanikolaou, Nikolaos; Tsiknakis, Manolis; Marias, Kostas; Fotiadis, Dimitrios I

Synthetic data generation methods in healthcare: A review on open-source tools and methods

医疗保健领域的合成数据生成方法：开源工具和方法综述

期刊:Computational and Structural Biotechnology Journal

影响因子:4.1

doi:10.1016/j.csbj.2024.07.005

Pezoulas, Vasileios C; Zaridis, Dimitrios I; Mylona, Eugenia; Androutsos, Christos; Apostolidis, Kosmas; Tachos, Nikolaos S; Fotiadis, Dimitrios I

发表日期：2024

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Ηand dexterities assessment in stroke patients based on augmented reality and machine learning through a box and block test

基于增强现实和机器学习的方块积木测试在卒中患者手部灵巧性评估中的应用

期刊:Scientific Reports

影响因子:3.9

doi:10.1038/s41598-024-61070-x

Papagiannis, Georgios; Triantafyllou, Αthanasios; Yiannopoulou, Konstantina G; Georgoudis, George; Kyriakidou, Maria; Gkrilias, Panagiotis; Skouras, Apostolos Z; Bega, Xhoi; Stasinopoulos, Dimitrios; Matsopoulos, George; Syringas, Pantelis; Tselikas, Nikolaos; Zestas, Orestis; Potsika, Vassiliki; Pardalis, Athanasios; Papaioannou, Christoforos; Protopappas, Vasilios; Malizos, Nikolas; Tachos, Nikolaos; Fotiadis, Dimitrios I

发表日期：2024

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Multimodal automatic assessment of acute pain through facial videos and heart rate signals utilizing transformer-based architectures

利用基于Transformer架构的面部视频和心率信号进行急性疼痛的多模态自动评估

期刊:Frontiers in Pain Research

影响因子:2.7

doi:10.3389/fpain.2024.1372814

Gkikas, Stefanos; Tachos, Nikolaos S; Andreadis, Stelios; Pezoulas, Vasileios C; Zaridis, Dimitrios; Gkois, George; Matonaki, Anastasia; Stavropoulos, Thanos G; Fotiadis, Dimitrios I

信号转导

发表日期：2024

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MI-Common Data Model: Extending Observational Medical Outcomes Partnership-Common Data Model (OMOP-CDM) for Registering Medical Imaging Metadata and Subsequent Curation Processes

MI通用数据模型：扩展观察性医学结果合作通用数据模型（OMOP-CDM），用于注册医学影像元数据和后续管理流程

期刊:JCO Clinical Cancer Informatics

影响因子:2.8

doi:10.1200/CCI.23.00101

Kalokyri, Varvara; Kondylakis, Haridimos; Sfakianakis, Stelios; Nikiforaki, Katerina; Karatzanis, Ioannis; Mazzetti, Simone; Tachos, Nikolaos; Regge, Daniele; Fotiadis, Dimitrios I; Marias, Konstantinos; Tsiknakis, Manolis

发表日期：2023

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Can Gait Features Help in Differentiating Parkinson's Disease Medication States and Severity Levels? A Machine Learning Approach

步态特征能否帮助区分帕金森病药物治疗状态和严重程度？一种机器学习方法

期刊:Sensors

影响因子:3.5

doi:10.3390/s22249937

Chatzaki, Chariklia; Skaramagkas, Vasileios; Kefalopoulou, Zinovia; Tachos, Nikolaos; Kostikis, Nicholas; Kanellos, Foivos; Triantafyllou, Eleftherios; Chroni, Elisabeth; Fotiadis, Dimitrios I; Tsiknakis, Manolis

AI Model Passport: Data and system traceability framework for transparent AI in health

AI模型护照：面向医疗领域透明AI的数据和系统可追溯性框架

Simplatab: An Automated Machine Learning Framework for Radiomics-Based Bi-Parametric MRI Detection of Clinically Significant Prostate Cancer

Simplatab：一种基于放射组学的双参数磁共振成像检测临床显著性前列腺癌的自动化机器学习框架

Exploring New Tools in Upper Limb Rehabilitation After Stroke Using an Exoskeletal Aid: A Pilot Randomized Control Study

利用外骨骼辅助设备探索中风后上肢康复的新方法：一项初步随机对照研究

ProLesA-Net: A multi-channel 3D architecture for prostate MRI lesion segmentation with multi-scale channel and spatial attentions

ProLesA-Net：一种用于前列腺MRI病灶分割的多通道3D架构，具有多尺度通道和空间注意力机制

Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences

优化放射组学在前列腺癌诊断中的应用：特征选择策略、机器学习分类器和MRI序列

Synthetic data generation methods in healthcare: A review on open-source tools and methods

医疗保健领域的合成数据生成方法：开源工具和方法综述

Ηand dexterities assessment in stroke patients based on augmented reality and machine learning through a box and block test

基于增强现实和机器学习的方块积木测试在卒中患者手部灵巧性评估中的应用

Multimodal automatic assessment of acute pain through facial videos and heart rate signals utilizing transformer-based architectures

利用基于Transformer架构的面部视频和心率信号进行急性疼痛的多模态自动评估

MI-Common Data Model: Extending Observational Medical Outcomes Partnership-Common Data Model (OMOP-CDM) for Registering Medical Imaging Metadata and Subsequent Curation Processes

MI通用数据模型：扩展观察性医学结果合作通用数据模型（OMOP-CDM），用于注册医学影像元数据和后续管理流程

Can Gait Features Help in Differentiating Parkinson's Disease Medication States and Severity Levels? A Machine Learning Approach

步态特征能否帮助区分帕金森病药物治疗状态和严重程度？一种机器学习方法