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Timo Hamalainen

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

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IEEE Transactions on Bio-Medical Engineering|February 18, 2022
Exploring Oscillatory Dysconnectivity Networks in Major Depression During Resting State Using Coupled Tensor DecompositionWenya Liu, Xiulin Wang, Timo Hamalainen, et al.
Frontiers in Neuroscience|June 17, 2024
Effects of different speed-accuracy instructions on perception in psychology experiments: evidence from event-related potential and oscillationHaijian Li, Xiaoshuang Wang, Timo Hamalainen, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 3, 2025
Channel Stacking: A Rapid Classification Method for Parkinson's Disease Based on EEG DataMingliang Zhang, Timo Hamalainen, Fengyu Cong, 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
Immunohistochemical information integrated pre-training improves HER2 status prediction from whole slide images of breast cancerXinyu Hao, Hongming Xu, Hongbo Liu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|September 9, 2021
Identifying Oscillatory Hyperconnectivity and Hypoconnectivity Networks in Major Depression Using Coupled Tensor DecompositionWenya Liu, Xiulin Wang, Jing Xu, 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 12, 2023
Predicting pathological complete response based on weakly and semi-supervised joint learning from breast cancer MRIXinyu Hao, Hongming Xu, Nannan Zhao, et al.
Medical & Biological Engineering & Computing|July 9, 2025
Brain region localization: a rapid Parkinson's disease detection method based on EEG signalsMingliang Zhang, Hang Liu, Zhenghao Guo, et al.
Frontiers in Cardiovascular Medicine|October 31, 2022
Comparison of machine learning and logistic regression as predictive models for adverse maternal and neonatal outcomes of preeclampsia: A retrospective studyDongying Zheng, Xinyu Hao, Muhanmmad Khan, et al.
Pageof 1

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

Sort By:
Pageof 1
IEEE Transactions on Bio-Medical Engineering|February 18, 2022
Exploring Oscillatory Dysconnectivity Networks in Major Depression During Resting State Using Coupled Tensor DecompositionWenya Liu, Xiulin Wang, Timo Hamalainen, et al.
Frontiers in Neuroscience|June 17, 2024
Effects of different speed-accuracy instructions on perception in psychology experiments: evidence from event-related potential and oscillationHaijian Li, Xiaoshuang Wang, Timo Hamalainen, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 3, 2025
Channel Stacking: A Rapid Classification Method for Parkinson's Disease Based on EEG DataMingliang Zhang, Timo Hamalainen, Fengyu Cong, 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
Immunohistochemical information integrated pre-training improves HER2 status prediction from whole slide images of breast cancerXinyu Hao, Hongming Xu, Hongbo Liu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|September 9, 2021
Identifying Oscillatory Hyperconnectivity and Hypoconnectivity Networks in Major Depression Using Coupled Tensor DecompositionWenya Liu, Xiulin Wang, Jing Xu, 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 12, 2023
Predicting pathological complete response based on weakly and semi-supervised joint learning from breast cancer MRIXinyu Hao, Hongming Xu, Nannan Zhao, et al.
Medical & Biological Engineering & Computing|July 9, 2025
Brain region localization: a rapid Parkinson's disease detection method based on EEG signalsMingliang Zhang, Hang Liu, Zhenghao Guo, et al.
Frontiers in Cardiovascular Medicine|October 31, 2022
Comparison of machine learning and logistic regression as predictive models for adverse maternal and neonatal outcomes of preeclampsia: A retrospective studyDongying Zheng, Xinyu Hao, Muhanmmad Khan, et al.
Pageof 1