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

Frequency and management of non-cardiac incidental findings on cardiac CT in patients with a suspected stroke

疑似卒中患者心脏CT检查中非心脏意外发现的发生频率及处理方法

Beemsterboer, Chiel F P; Nio, Shan Sui; Bouma, Berto J; Boekholdt, S Matthijs; Beenen, Ludo F M; Marquering, Henk A; Majoie, Charles B L M; van Randen, Adrienne; Planken, R Nils; Rinkel, Leon A; Coutinho, Jonathan M

CTP-Free Method for Automated Lesion Water Uptake in Acute Ischemic Stroke

无需CTP的急性缺血性卒中病灶自动吸水率测定方法

van Poppel, Laura M; de Vries, Lucas; Mojtahedi, Mahsa; van Voorst, Henk; Kappelhof, Manon; Olthuis, Susanne G H; van Oostenbrugge, Robert J; van Zwam, Wim H; van Doormaal, Pieter; Beenen, Ludo F M; Roos, Yvo B W E M; Majoie, Charles B L M; Marquering, Henk A; Emmer, Bart J

From Development to Implementation: A Systematic Review on the Current Maturity Status of Artificial Intelligence Models for Patients with Colorectal Cancer Liver Metastases

从开发到实施:结直肠癌肝转移患者人工智能模型当前成熟度的系统性综述

Kemna, Ruby; Zeeuw, J Michiel; Ziesemer, Kirsten A; Ali, Mahsoem; Bereska, Jacqueline I; Marquering, Henk; Stoker, Jaap; Verpalen, Inez M; Swijnenburg, Rutger-Jan; Huiskens, Joost; Kazemier, Geert

Left Atrial Diverticula Detected on Cardiac CT in Patients With Acute Ischemic Stroke: A Substudy of Mind the Heart

急性缺血性卒中患者心脏CT检查发现左心房憩室:一项“关注心脏”研究的子研究

Nio, Shan Sui; Rinkel, Leon A; Cramer, Olivia N; Özata, Z Beyda; Beemsterboer, Chiel F P; Guglielmi, Valeria; Bouma, Berto J; Boekholdt, S Matthijs; Lobé, Nick H J; Beenen, Ludo F M; Arrarte Terreros, Nerea; Marquering, Henk A; Majoie, Charles B L M; Roos, Yvo B W E M; van Randen, Adrienne; Planken, R Nils; Coutinho, Jonathan M

Normative amygdala fMRI response during emotional processing as a trait of depressive symptoms in the UK Biobank

英国生物银行中,情绪加工过程中杏仁核功能磁共振成像(fMRI)反应的正常值作为抑郁症状的特征。

van den Berg, Jerke J; Ruhé, Henricus G; Marquering, Henk A; Reneman, Liesbeth; Caan, Matthan W A

Evaluation of a deep-learning segmentation model for patients with colorectal cancer liver metastases (COALA) in the radiological workflow

在放射学工作流程中评估用于结直肠癌肝转移患者的深度学习分割模型(COALA)

Zeeuw, Michiel; Bereska, Jacqueline; Strampel, Marius; Wagenaar, Luuk; Janssen, Boris; Marquering, Henk; Kemna, Ruby; van Waesberghe, Jan Hein; van den Bergh, Janneke; Nota, Irene; Moos, Shira; Nio, Yung; Kop, Marnix; Kist, Jakob; Struik, Femke; Wesdorp, Nina; Nelissen, Jules; Rus, Katinka; de Sitter, Alexandra; Stoker, Jaap; Huiskens, Joost; Verpalen, Inez; Kazemier, Geert

Prediction of methylphenidate treatment response for ADHD using conventional and radiomics T1 and DTI features: Secondary analysis of a randomized clinical trial

利用常规和放射组学T1和DTI特征预测哌甲酯治疗ADHD的反应:一项随机临床试验的二次分析

Chen, Mingshi; van der Pal, Zarah; Poirot, Maarten G; Schrantee, Anouk; Bottelier, Marco; Kooij, Sandra J J; Marquering, Henk A; Reneman, Liesbeth; Caan, Matthan W A

Accuracy of deep learning-based AI models for early caries lesion detection: the influence of annotation quality and reference choice

基于深度学习的AI模型在早期龋损检测中的准确性:标注质量和参考选择的影响

Gonzalez-Valenzuela, Ricardo E; Mettes, Pascal; Loos, Bruno G; Marquering, Henk; Berkhout, Erwin

Deep learning for efficient reconstruction of highly accelerated 3D FLAIR MRI in neurological deficits

利用深度学习高效重建神经功能缺损中的高加速3D FLAIR MRI图像

Liebrand, Luka C; Karkalousos, Dimitrios; Poirion, Émilie; Emmer, Bart J; Roosendaal, Stefan D; Marquering, Henk A; Majoie, Charles B L M; Savatovsky, Julien; Caan, Matthan W A

Turbulent-like Dynamics Predict Treatment Outcome in Major Depressive Disorder

湍流样动力学可预测重度抑郁症的治疗结果

Ruhe, Henricus; Poirot, Maarten; Perl, Yonatan Sanz; Caan, Matthan; Marquering, Henk; Deco, Gustavo; Kringelbach, Morten; Reneman, Liesbeth