RESEARCH INTERESTS

AI for medicine

Brain-Machine Interaction

Neuroscience-inspired modeling

Neuroimaging

MEG/EEG/fMRI data analysis

E-learning

AI for Medicine

Transfer learning for COVID-19 CXRs

(collaborate with MIT )

14-day Mortality prediction

Deep learning for Chest X-ray interpretation using Smartphone

(collaborate with MIT )

Transfer learning for TB detection (collaborate with NTU )

Decoding Pain Level from Brain Activity (collaborate with NYMU/NCTU )

(NeuroImage 144 (2017) 1-11)

Significant multiscale sample entropy (MSE) group differences from resting-state MEG brain

signals during pain-free state. MSE values of PDMs were mostly lower than those of CONs.

(Entropy 2017, 19, 680)

Deep Learning for Hydrocephalus

(collaborate with TMU )

Deep Learning for Radiogenomics (collaborate with TMU )

Brain-Machine Interaction

Decoding and Encoding in Human Brain

(NeuroImage 102 (2014) 435–450)

EEG-Based Biometrics

(Chan, Kuo, Cheng, and Chen, 2018, Frontiers in Neuroinformatics)

Brain Computer Interface: Visual Imagery Speller

Fig. 2. Scalp map of the independent components with the highest decoding accuracy for visual and imagery decoding. (OHBM 2016)

Neuroscience-inspired modeling

Supervised LLE Method

Distribution of training and testing data in the space spanned by the predicted and calculated orientation indices using face stimulus set.

(J. Neural Eng. 12 (2015) 066025 (12pp))

DNN Inspired by Visual System

(Chang, Kuo, and Chen, 2017, ISPACS )

Neuroscience by Neuroimaging

Face Representation in the Brain

A two-dimensional subspace associated with information related to face viewpoints, which was obtained from a representative subject using data related to the right OFA. (Hum Brain Mapp. 2018;1–19)

The representation of brain activity in 2-dimensional manifold subspace calculated by the proposed method. (OHBM 2015)

Brain dynamics and connectivity networks under natural auditory stimulation

Kuo et. al., NeuroImage, 2019

Reproducibility networks

Hierarchical cluster analysis for cytoarchitectonic regions in the left hemisphere (OHBM 2017)

Non-stationary fMRI time series

Gene-brain Interactions

(Low, Kuo et al.,, 2018, Frontiers in Neuroscience)

Interaction between BDNF Val66Met polymorphism and long-term menstrual pain experience on brain complexity.

E-learning

EEG-based E-learning (collaborate with Institute for Information Industry )

Hu, Chen, and Kuo, 2018, SMC

Hu and Kuo, 2017, GCCE

Online Game for education (collaborate with NCTU )

(British Journal of Educational Technology Vol 48 No 2 2017)

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