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

A lightweight generative model for interpretable subject-level prediction

一种用于可解释的主体级预测的轻量级生成模型

Mauri, Chiara; Cerri, Stefano; Puonti, Oula; Mühlau, Mark; Van Leemput, Koen

A Contrast-Agnostic Method for Ultra-High Resolution Claustrum Segmentation

一种与对比度无关的超高分辨率屏状核分割方法

Mauri, Chiara; Fritz, Ryan; Mora, Jocelyn; Billot, Benjamin; Iglesias, Juan Eugenio; Van Leemput, Koen; Augustinack, Jean; Greve, Douglas N

RECLAIM-A retrospective, multicenter observational study aimed at enabling the development of artificial intelligence-driven prognostic models for disease progression in multiple sclerosis

RECLAIM——一项回顾性多中心观察性研究,旨在开发人工智能驱动的多发性硬化症疾病进展预后模型。

Praet, Jelle; Anderhalten, Lina; Comi, Giancarlo; Horakova, Dana; Ziemssen, Tjalf; Vermersch, Patrick; Lukas, Carsten; Van Leemput, Koen; Steppe, Marjan; Manero, Noemí; Kadas, Ella; Bernard, Alexis; van Rampelbergh, Jean; de Boer, Erik; Zingler, Vera; Smeets, Dirk; Ribbens, Annemie; Paul, Friedemann

Machine learning of dissection photographs and surface scanning for quantitative 3D neuropathology

利用机器学习对解剖照片和表面扫描进行定量三维神经病理学分析

Gazula, Harshvardhan; Tregidgo, Henry F J; Billot, Benjamin; Balbastre, Yael; Williams-Ramirez, Jonathan; Herisse, Rogeny; Deden-Binder, Lucas J; Casamitjana, Adria; Melief, Erica J; Latimer, Caitlin S; Kilgore, Mitchell D; Montine, Mark; Robinson, Eleanor; Blackburn, Emily; Marshall, Michael S; Connors, Theresa R; Oakley, Derek H; Frosch, Matthew P; Young, Sean I; Van Leemput, Koen; Dalca, Adrian V; Fischl, Bruce; MacDonald, Christine L; Keene, C Dirk; Hyman, Bradley T; Iglesias, Juan E

A future of AI-driven personalized care for people with multiple sclerosis

人工智能驱动的多发性硬化症患者个性化护理的未来

Praet, Jelle; Anderhalten, Lina; Comi, Giancarlo; Horakova, Dana; Ziemssen, Tjalf; Vermersch, Patrick; Lukas, Carsten; van Leemput, Koen; Steppe, Marjan; Aguilera, Cristina; Kadas, Ella Maria; Bertrand, Alexis; van Rampelbergh, Jean; de Boer, Erik; Zingler, Vera; Smeets, Dirk; Ribbens, Annemie; Paul, Friedemann

Intensity scaling of conventional brain magnetic resonance images avoiding cerebral reference regions: A systematic review

避免使用脑参考区域的常规脑磁共振图像强度缩放:系统评价

Wiltgen, Tun; Voon, Cuici; Van Leemput, Koen; Wiestler, Benedikt; Mühlau, Mark

Synthetic data in generalizable, learning-based neuroimaging

可推广的、基于学习的神经影像学中的合成数据

Gopinath, Karthik; Hoopes, Andrew; Alexander, Daniel C; Arnold, Steven E; Balbastre, Yael; Billot, Benjamin; Casamitjana, Adrià; Cheng, You; Chua, Russ Yue Zhi; Edlow, Brian L; Fischl, Bruce; Gazula, Harshvardhan; Hoffmann, Malte; Keene, C Dirk; Kim, Seunghoi; Kimberly, W Taylor; Laguna, Sonia; Larson, Kathleen E; Van Leemput, Koen; Puonti, Oula; Rodrigues, Livia M; Rosen, Matthew S; Tregidgo, Henry F J; Varadarajan, Divya; Young, Sean I; Dalca, Adrian V; Iglesias, Juan Eugenio

Accurate Bayesian segmentation of thalamic nuclei using diffusion MRI and an improved histological atlas

利用扩散磁共振成像和改进的组织学图谱对丘脑核团进行精确的贝叶斯分割

Tregidgo, Henry F J; Soskic, Sonja; Althonayan, Juri; Maffei, Chiara; Van Leemput, Koen; Golland, Polina; Insausti, Ricardo; Lerma-Usabiaga, Garikoitz; Caballero-Gaudes, César; Paz-Alonso, Pedro M; Yendiki, Anastasia; Alexander, Daniel C; Bocchetta, Martina; Rohrer, Jonathan D; Iglesias, Juan Eugenio

Assessing individual variability of the entorhinal subfields in health and disease

评估健康和疾病状态下内嗅皮层亚区的个体差异

Oltmer, Jan; Greve, Douglas N; Cerri, Stefano; Slepneva, Natalya; Llamas-Rodríguez, Josue; Iglesias, Juan Eugenio; Van Leemput, Koen; Champion, Samantha N; Frosch, Matthew P; Augustinack, Jean C

Editorial: Computational Neuroimage Analysis Tools for Brain (Diseases) Biomarkers

社论:用于脑(疾病)生物标志物的计算神经影像分析工具

Sima, Diana M; Bach Cuadra, Meritxell; Dyrby, Tim B; Van Leemput, Koen