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Jinpei Han

Showing results (1-10 of 8) with videos related to

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Journal of Neural Engineering|November 6, 2023
EEG decoding for datasets with heterogenous electrode configurations using transfer learning graph neural networksJinpei Han, Xiaoxi Wei, A Aldo Faisal
IEEE Journal of Biomedical and Health Informatics|November 27, 2023
Noise-Factorized Disentangled Representation Learning for Generalizable Motor Imagery EEG ClassificationJinpei Han, Xiao Gu, Guang-Zhong Yang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Identifying the Nature of Grip Force Signals in EEG & fNIRS with Multi-Modal Graph Fusion NetworkZiyue Zhu, Jinpei Han, Ziyan Zhang, et al.
The International Journal of Medical Robotics + Computer Assisted Surgery : MRCAS|December 25, 2021
A systematic review of robotic surgery: From supervised paradigms to fully autonomous robotic approachesJinpei Han, Joseph Davids, Hutan Ashrafian, et al.
IEEE Reviews in Biomedical Engineering|July 20, 2023
Beyond Supervised Learning for Pervasive HealthcareXiao Gu, Fani Deligianni, Jinpei Han, et al.
Communications Engineering|July 27, 2025
Transforming label-efficient decoding of healthcare wearables with self-supervised learning and "embedded" medical domain expertiseXiao Gu, Zhangdaihong Liu, Jinpei Han, et al.
Nature Machine Intelligence|February 27, 2026
Cardiac health assessment across scenarios and devices using a multimodal foundation model pretrained on data from 1.7 million individualsXiao Gu, Wei Tang, Jinpei Han, et al.
The Journal of Physiology|July 6, 2024
Bridging the gap between experimental control and ecological validity in human sensorimotor scienceJonathan Tsay, Nathan Steadman, Melanie Fleming, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Journal of Neural Engineering|November 6, 2023
EEG decoding for datasets with heterogenous electrode configurations using transfer learning graph neural networksJinpei Han, Xiaoxi Wei, A Aldo Faisal
IEEE Journal of Biomedical and Health Informatics|November 27, 2023
Noise-Factorized Disentangled Representation Learning for Generalizable Motor Imagery EEG ClassificationJinpei Han, Xiao Gu, Guang-Zhong Yang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Identifying the Nature of Grip Force Signals in EEG & fNIRS with Multi-Modal Graph Fusion NetworkZiyue Zhu, Jinpei Han, Ziyan Zhang, et al.
The International Journal of Medical Robotics + Computer Assisted Surgery : MRCAS|December 25, 2021
A systematic review of robotic surgery: From supervised paradigms to fully autonomous robotic approachesJinpei Han, Joseph Davids, Hutan Ashrafian, et al.
IEEE Reviews in Biomedical Engineering|July 20, 2023
Beyond Supervised Learning for Pervasive HealthcareXiao Gu, Fani Deligianni, Jinpei Han, et al.
Communications Engineering|July 27, 2025
Transforming label-efficient decoding of healthcare wearables with self-supervised learning and "embedded" medical domain expertiseXiao Gu, Zhangdaihong Liu, Jinpei Han, et al.
Nature Machine Intelligence|February 27, 2026
Cardiac health assessment across scenarios and devices using a multimodal foundation model pretrained on data from 1.7 million individualsXiao Gu, Wei Tang, Jinpei Han, et al.
The Journal of Physiology|July 6, 2024
Bridging the gap between experimental control and ecological validity in human sensorimotor scienceJonathan Tsay, Nathan Steadman, Melanie Fleming, et al.
Pageof 1