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Yisha Zhang

Showing results (1-10 of 19) with videos related to

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Frontiers in Immunology|July 1, 2025
ScRNA-seq combined with ATAC-seq analysis to explore the metabolic balance mechanism of CCl4-induced liver inflammatory injuryHui Liu, Yisha Zhang, Shoubin Ning
Nature Communications|June 30, 2025
EEG-based brain-computer interface enables real-time robotic hand control at individual finger levelYidan Ding, Chalisa Udompanyawit, Yisha Zhang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|September 18, 2025
Continuous Reaching and Grasping With a BCI Controlled Robotic Arm in Healthy and Stroke-Affected IndividualsDylan Forenzo, Yisha Zhang, George F Wittenberg, et al.
Medrxiv : the Preprint Server for Health Sciences|May 5, 2025
Continuous Reaching and Grasping with a BCI Controlled Robotic Arm in Healthy and Stroke-Affected IndividualsDylan Forenzo, Yisha Zhang, George F Wittenberg, et al.
Japanese Journal of Radiology|January 6, 2023
Global research trends in radiotherapy for breast cancer: a systematic bibliometric analysisBeidi Jia, David Lim, Yisha Zhang, et al.
Biorxiv : the Preprint Server for Biology|January 27, 2025
EEG-Informed fMRI Analysis Reveals Neurovascular Coupling in Motor Execution and ImageryElena Bondi, Yidan Ding, Yisha Zhang, et al.
Microbiology Resource Announcements|August 20, 2024
Complete genome sequence of <i>Streptococcus intermedius</i> strain XH2169Yisha Zhang, Yue Yao, Feng Zhao, et al.
World Neurosurgery|February 8, 2022
Global Research Trends in Radiotherapy for Gliomas: A Systematic Bibliometric AnalysisYisha Zhang, David Lim, Yanling Yao, et al.
Neuroimage|June 8, 2025
Investigating the neurovascular coupling across multiple motor execution and imagery conditions: a whole-brain EEG-informed fMRI analysisElena Bondi, Yidan Ding, Yisha Zhang, et al.
Nature Communications|July 15, 2026
Sensory-guided human-machine joint learning accelerates the acquisition of motor imagery brain computer interface controlHanwen Wang, Yisha Zhang, Maxim Karrenbach, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Frontiers in Immunology|July 1, 2025
ScRNA-seq combined with ATAC-seq analysis to explore the metabolic balance mechanism of CCl4-induced liver inflammatory injuryHui Liu, Yisha Zhang, Shoubin Ning
Nature Communications|June 30, 2025
EEG-based brain-computer interface enables real-time robotic hand control at individual finger levelYidan Ding, Chalisa Udompanyawit, Yisha Zhang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|September 18, 2025
Continuous Reaching and Grasping With a BCI Controlled Robotic Arm in Healthy and Stroke-Affected IndividualsDylan Forenzo, Yisha Zhang, George F Wittenberg, et al.
Medrxiv : the Preprint Server for Health Sciences|May 5, 2025
Continuous Reaching and Grasping with a BCI Controlled Robotic Arm in Healthy and Stroke-Affected IndividualsDylan Forenzo, Yisha Zhang, George F Wittenberg, et al.
Japanese Journal of Radiology|January 6, 2023
Global research trends in radiotherapy for breast cancer: a systematic bibliometric analysisBeidi Jia, David Lim, Yisha Zhang, et al.
Biorxiv : the Preprint Server for Biology|January 27, 2025
EEG-Informed fMRI Analysis Reveals Neurovascular Coupling in Motor Execution and ImageryElena Bondi, Yidan Ding, Yisha Zhang, et al.
Microbiology Resource Announcements|August 20, 2024
Complete genome sequence of <i>Streptococcus intermedius</i> strain XH2169Yisha Zhang, Yue Yao, Feng Zhao, et al.
World Neurosurgery|February 8, 2022
Global Research Trends in Radiotherapy for Gliomas: A Systematic Bibliometric AnalysisYisha Zhang, David Lim, Yanling Yao, et al.
Neuroimage|June 8, 2025
Investigating the neurovascular coupling across multiple motor execution and imagery conditions: a whole-brain EEG-informed fMRI analysisElena Bondi, Yidan Ding, Yisha Zhang, et al.
Nature Communications|July 15, 2026
Sensory-guided human-machine joint learning accelerates the acquisition of motor imagery brain computer interface controlHanwen Wang, Yisha Zhang, Maxim Karrenbach, et al.
Pageof 2