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

Cognition and fatigue in clinically stable multiple sclerosis: EDSS and MRI metrics outperform serum biomarkers

临床稳定期多发性硬化症患者的认知和疲劳:EDSS 和 MRI 指标优于血清生物标志物

Erhart, Deborah K; Balz, Luisa T; Opfer, Roland; Spies, Lothar; Bachhuber, Franziska; Vardakas, Ioannis; Taranu, Daniela; Jung, Stefanie; Fangerau, Tanja; Senel, Makbule; Kreiser, Kornelia; Uttner, Ingo; Lulé, Dorothée; Tumani, Hayrettin

Whole brain volume loss is associated with a short-term disability progression in relapse-activity free multiple sclerosis

全脑容量减少与无复发活动期多发性硬化症的短期残疾进展相关

Opfer, Roland; Spies, Lothar; Krüger, Julia; Buddenkotte, Thomas; Roick, Holger; Jankovic, Manda; Witt, Nicolaj; Domke, Sylke; Kubalek, Ralf; Reifschneider, Gerd; Kunz, Jürgen; Nastos, Ilias; Heidler, Felicita; Trendelenburg, George; Stockert, Andreas; Erhart, Deborah K; Tumani, Hayrettin; Kitzler, Hagen H; Ziemssen, Tjalf

Easy-to-use and easy-to-interpret quality control of 3D gradient echo T1-weighted MR acquisition sequences for improved test-retest stability of MRI-based hippocampus volumetry

易于使用且易于解释的3D梯度回波T1加权MR采集序列质量控制,可提高基于MRI的海马体积测量的重测稳定性

Buchert, Ralph; Suppa, Per; Ardekani, Babak A; Bellvís Bataller, Fuensanta; Bourgeat, Pierrick; Coupé, Pierrick; Dahnke, Robert; Devenyi, Gabriel A; Eskildsen, Simon Fristed; Fischer, Clara; Manjón Herrera, Jose Vincente; Ledig, Christian; Lemke, Andreas; Maréchal, Bénédicte; Opfer, Roland; Sima, Diana M; Spies, Lothar; Ulug, Aziz M; Huppertz, Hans-Jürgen

Intrathecal Anti-Akkermansia muciniphila IgG Responses in Multiple Sclerosis Patients Linked to CSF Immune Cells and Disease Activity

多发性硬化症患者鞘内抗阿克曼氏菌IgG反应与脑脊液免疫细胞和疾病活动性相关

Cruciani, Carolina; Mathé, Camille; Puthenparampil, Marco; Tomas-Ojer, Paula; Docampo, Maria José; Opfer, Roland; Jelcic, Ilijas; Nicot, Arnaud B; Laplaud, David-Axel; Martin, Roland; Sospedra, Mireia; Berthelot, Laureline

An Artificial Intelligence Algorithm Integrated into the Clinical Workflow Can Ensure High Quality Acute Intracranial Hemorrhage CT Diagnostic

将人工智能算法集成到临床工作流程中,可以确保高质量的急性颅内出血CT诊断。

Villringer, K; Sokiranski, R; Opfer, R; Spies, L; Hamann, M; Bormann, A; Brehmer, M; Galinovic, I; Fiebach, J B

Automated identification of uncertain cases in deep learning-based classification of dopamine transporter SPECT to improve clinical utility and acceptance

基于深度学习的多巴胺转运体SPECT分类中不确定病例的自动识别,以提高临床实用性和接受度。

Budenkotte, Thomas; Apostolova, Ivayla; Opfer, Roland; Krüger, Julia; Klutmann, Susanne; Buchert, Ralph

Voxel-based morphometry in single subjects without a scanner-specific normal database using a convolutional neural network

利用卷积神经网络对单个受试者进行基于体素的形态测量,而无需扫描仪特定的正常数据库

Krüger, Julia; Opfer, Roland; Spies, Lothar; Hedderich, Dennis; Buchert, Ralph

Degree of Uncertainty in Reporting Imaging Findings for Necrotizing Enterocolitis: A Secondary Analysis from a Pilot Randomized Diagnostic Trial

坏死性小肠结肠炎影像学检查结果报告的不确定性程度:一项试点随机诊断试验的二次分析

Cuna, Alain; Rathore, Disa; Bourret, Kira; Opfer, Erin; Chan, Sherwin

Cognitive support for political partisans' understanding of policy data

为政治党派人士理解政策数据提供认知支持

Yu, Shuyuan; Opfer, John E

Removing outliers from the normative database improves regional atrophy detection in single-subject voxel-based morphometry

从规范数据库中移除异常值可以提高基于体素的单被试形态测量学中区域萎缩的检测率。

Schultz, Vivian; Hedderich, Dennis M; Schmitz-Koep, Benita; Schinz, David; Zimmer, Claus; Yakushev, Igor; Apostolova, Ivayla; Özden, Cansu; Opfer, Roland; Buchert, Ralph