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Yee Ling Chan

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

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Functional Connectivity Analysis on Mild Alzheimer's Disease, Mild Cognitive Impairment and Normal Aging using fNIRSTong Boon Tang, Yee Ling Chan
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Characterizing Functional Near Infrared Spectroscopy (fNIRS)-based Connectivity as Cost-effective Small World Network using Orthogonal Minimal Spanning Trees (OMSTs)Yee Ling Chan, Tong Boon Tang
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|August 4, 2020
Automated Thresholding Method for fNIRS-Based Functional Connectivity Analysis: Validation With a Case Study on Alzheimer's DiseaseYee Ling Chan, Wei Chun Ung, Lam Ghai Lim, et al.
Journal of Affective Disorders|May 24, 2024
MicroRNA classification and discovery for major depressive disorder diagnosis: Towards a robust and interpretable machine learning approachYee Ling Chan, Cyrus S H Ho, Gabrielle W N Tay, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|February 24, 2021
Optimizing Mental Workload Estimation by Detecting Baseline State Using Vector Phase Analysis ApproachLam Ghai Lim, Wei Chun Ung, Yee Ling Chan, et al.
IEEE Journal of Translational Engineering in Health and Medicine|February 6, 2025
Antidepressant Treatment Response Prediction With Early Assessment of Functional Near-Infrared Spectroscopy and Micro-RNALok Hua Lee, Cyrus Su Hui Ho, Yee Ling Chan, et al.
Scientific Reports|December 17, 2020
fNIRS-based functional connectivity estimation using semi-metric analysis to study decision making by nursing students and registered nursesJie Sheng Chong, Yee Ling Chan, Esther G M Ebenezer, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|September 28, 2020
A Unified Analytical Framework With Multiple fNIRS Features for Mental Workload Assessment in the Prefrontal CortexLam Ghai Lim, Wei Chun Ung, Yee Ling Chan, et al.
Journal of Clinical Medicine|April 9, 2024
Using an Interpretable Amino Acid-Based Machine Learning Method to Enhance the Diagnosis of Major Depressive DisorderCyrus Su Hui Ho, Trevor Wei Kiat Tan, Howard Cai Hao Khoe, et al.
Neurophotonics|January 22, 2019
Denoising of neuronal signal from mixed systemic low-frequency oscillation using peripheral measurement as noise regressor in near-infrared imagingStephanie Sutoko, Yee Ling Chan, Akiko Obata, et al.
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Showing results (1-10 of 10) with videos related to

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Pageof 1
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Functional Connectivity Analysis on Mild Alzheimer's Disease, Mild Cognitive Impairment and Normal Aging using fNIRSTong Boon Tang, Yee Ling Chan
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Characterizing Functional Near Infrared Spectroscopy (fNIRS)-based Connectivity as Cost-effective Small World Network using Orthogonal Minimal Spanning Trees (OMSTs)Yee Ling Chan, Tong Boon Tang
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|August 4, 2020
Automated Thresholding Method for fNIRS-Based Functional Connectivity Analysis: Validation With a Case Study on Alzheimer's DiseaseYee Ling Chan, Wei Chun Ung, Lam Ghai Lim, et al.
Journal of Affective Disorders|May 24, 2024
MicroRNA classification and discovery for major depressive disorder diagnosis: Towards a robust and interpretable machine learning approachYee Ling Chan, Cyrus S H Ho, Gabrielle W N Tay, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|February 24, 2021
Optimizing Mental Workload Estimation by Detecting Baseline State Using Vector Phase Analysis ApproachLam Ghai Lim, Wei Chun Ung, Yee Ling Chan, et al.
IEEE Journal of Translational Engineering in Health and Medicine|February 6, 2025
Antidepressant Treatment Response Prediction With Early Assessment of Functional Near-Infrared Spectroscopy and Micro-RNALok Hua Lee, Cyrus Su Hui Ho, Yee Ling Chan, et al.
Scientific Reports|December 17, 2020
fNIRS-based functional connectivity estimation using semi-metric analysis to study decision making by nursing students and registered nursesJie Sheng Chong, Yee Ling Chan, Esther G M Ebenezer, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|September 28, 2020
A Unified Analytical Framework With Multiple fNIRS Features for Mental Workload Assessment in the Prefrontal CortexLam Ghai Lim, Wei Chun Ung, Yee Ling Chan, et al.
Journal of Clinical Medicine|April 9, 2024
Using an Interpretable Amino Acid-Based Machine Learning Method to Enhance the Diagnosis of Major Depressive DisorderCyrus Su Hui Ho, Trevor Wei Kiat Tan, Howard Cai Hao Khoe, et al.
Neurophotonics|January 22, 2019
Denoising of neuronal signal from mixed systemic low-frequency oscillation using peripheral measurement as noise regressor in near-infrared imagingStephanie Sutoko, Yee Ling Chan, Akiko Obata, et al.
Pageof 1