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Transfer of a skilled motor learning task between virtual and conventional environments.

, , , and . VR, page 401-402. IEEE Computer Society, (2017)

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Multimodal Head-Mounted Virtual-Reality Brain-Computer Interface for Stroke Rehabilitation - A Clinical Case Study with REINVENT., , , , , and . HCI (9), volume 11574 of Lecture Notes in Computer Science, page 165-179. Springer, (2019)Can we predict real-time fMRI neurofeedback learning success from pretraining brain activity?, , , , , , , , , and 29 other author(s). Human Brain Mapping, 41 (14): 3839-3854 (July 2020)REINVENT: A low-cost, virtual reality brain-computer interface for severe stroke upper limb motor recovery., , , and . VR, page 385-386. IEEE Computer Society, (2017)Electromyography as a Suitable Input for Virtual Reality-Based Biofeedback in Stroke Rehabilitation., , , , , and . HCI (33), volume 1032 of Communications in Computer and Information Science, page 274-281. Springer, (2019)Transfer of a skilled motor learning task between virtual and conventional environments., , , and . VR, page 401-402. IEEE Computer Society, (2017)Predictors of real-time fMRI neurofeedback performance and improvement – A machine learning mega-analysis, , , , , , , , , and 38 other author(s). NeuroImage, (August 2021)Editorial: Collaborative Efforts for Understanding the Human Brain., , and . Frontiers Neuroinformatics, (2019)A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge., , , , , , , , , and 48 other author(s). CoRR, (2024)