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

Localization of contrast-enhanced breast lesions in ultrafast screening MRI using deep convolutional neural networks

利用深度卷积神经网络对超快速筛查磁共振成像中增强乳腺病灶进行定位

期刊:European Radiology
影响因子:4.7
doi:10.1007/s00330-023-10184-3
Jing, Xueping; Dorrius, Monique D; Zheng, Sunyi; Wielema, Mirjam; Oudkerk, Matthijs; Sijens, Paul E; van Ooijen, Peter M A
发表日期：2024
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Image quality of DWI at breast MRI depends on the amount of fibroglandular tissue: implications for unenhanced screening

乳腺MRI中DWI的图像质量取决于纤维腺体组织的量：对非增强筛查的意义

期刊:European Radiology
影响因子:4.7
doi:10.1007/s00330-023-10321-y
Wielema, Mirjam; Sijens, Paul E; Pijnappel, Ruud M; De Bock, Geertruida H; Zorgdrager, Marcel; Kok, Marius G J; Rainer, Eva; Varga, Raoul; Clauser, Paola; Oudkerk, Matthijs; Dorrius, Monique D; Baltzer, Pascal A T
发表日期：2024
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Using deep learning to safely exclude lesions with only ultrafast breast MRI to shorten acquisition and reading time

利用深度学习技术，仅使用超快速乳腺磁共振成像即可安全排除病灶，从而缩短采集和读取时间。

期刊:European Radiology
影响因子:4.7
doi:10.1007/s00330-022-08863-8
Jing, Xueping; Wielema, Mirjam; Cornelissen, Ludo J; van Gent, Margo; Iwema, Willie M; Zheng, Sunyi; Sijens, Paul E; Oudkerk, Matthijs; Dorrius, Monique D; van Ooijen, Peter M A
发表日期：2022
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T2* assessment of the three coronary artery territories of the left ventricular wall by different monoexponential truncation methods

采用不同的单指数截断方法对左心室壁三个冠状动脉供血区域进行T2*评估

期刊:Magnetic Resonance Materials in Physics Biology and Medicine
影响因子:2.5
doi:10.1007/s10334-022-01008-4
Triadyaksa, Pandji; Overbosch, Jelle; Oudkerk, Matthijs; Sijens, Paul Eduard
发表日期：2022
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Diffusion weighted imaging of the breast: Performance of standardized breast tumor tissue selection methods in clinical decision making

乳腺弥散加权成像：标准化乳腺肿瘤组织选择方法在临床决策中的应用

期刊:PLoS One
影响因子:2.6
doi:10.1371/journal.pone.0245930
Wielema, M; Sijens, P E; Dijkstra, H; De Bock, G H; van Bruggen, I G; Siegersma, J E; Langius, E; Pijnappel, R M; Dorrius, M D; Oudkerk, M
肿瘤
肿瘤免疫
发表日期：2021
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Early detection of heart function abnormality by native T1: a comparison of two T1 quantification methods

利用原生T1值早期检测心脏功能异常：两种T1定量方法的比较

期刊:European Radiology
影响因子:4.7
doi:10.1007/s00330-019-06364-9
Triadyaksa, Pandji; Kuijpers, Dirkjan; Akinci D'Antonoli, Tugba; Overbosch, Jelle; Rook, Mieneke; van Swieten, J Martijn; Oudkerk, Matthijs; Sijens, Paul E
发表日期：2020
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Diagnostic performance of breast tumor tissue selection in diffusion weighted imaging: A systematic review and meta-analysis

弥散加权成像中乳腺肿瘤组织选择的诊断性能：系统评价和荟萃分析

期刊:PLoS One
影响因子:2.6
doi:10.1371/journal.pone.0232856
Wielema, M; Dorrius, M D; Pijnappel, R M; De Bock, G H; Baltzer, P A T; Oudkerk, M; Sijens, P E
肿瘤
肿瘤免疫
发表日期：2020
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Diagnostic value of MRS-quantified brain tissue lactate level in identifying children with mitochondrial disorders

磁共振波谱定量脑组织乳酸水平在识别线粒体疾病患儿中的诊断价值

期刊:European Radiology
影响因子:4.7
doi:10.1007/s00330-016-4454-8
Lunsing, Roelineke J; Strating, Kim; de Koning, Tom J; Sijens, Paul E
线粒体
神经科学
发表日期：2017
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Diminished liver microperfusion in Fontan patients: A biexponential DWI study

Fontan 患者肝脏微灌注减少：双指数 DWI 研究

期刊:PLoS One
影响因子:2.6
doi:10.1371/journal.pone.0173149
Dijkstra, Hildebrand; Wolff, Djoeke; van Melle, Joost P; Bartelds, Beatrijs; Willems, Tineke P; Oudkerk, Matthijs; Hillege, Hans; van den Berg, Aad P; Ebels, Tjark; Berger, Rolf M F; Sijens, Paul E
发表日期：2017
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Contrast-optimized composite image derived from multigradient echo cardiac magnetic resonance imaging improves reproducibility of myocardial contours and T2* measurement

基于多梯度回波心脏磁共振成像的对比度优化复合图像提高了心肌轮廓和T2*测量的可重复性

期刊:Magnetic Resonance Materials in Physics Biology and Medicine
影响因子:2.5
doi:10.1007/s10334-015-0503-6
Triadyaksa, Pandji; Handayani, Astri; Dijkstra, Hildebrand; Aryanto, Kadek Y E; Pelgrim, Gert Jan; Xie, Xueqian; Willems, Tineke P; Prakken, Niek H J; Oudkerk, Matthijs; Sijens, Paul E
发表日期：2016
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