Structural and diffusion MRI based schizophrenia classification using 2D pretrained and 3D naive Convolutional Neural Networks M Hu, X Qian, S Liu, AJ Koh, K Sim, X Jiang, C Guan, JH Zhou Schizophrenia research 243, 330-341, 2022 | 45 | 2022 |
Brain MRI-based 3D convolutional neural networks for classification of schizophrenia and controls M Hu, K Sim, JH Zhou, X Jiang, C Guan 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 38 | 2020 |
Brain functional changes in stroke following rehabilitation using brain-computer interface-assisted motor imagery with and without tDCS: a pilot study M Hu, HJ Cheng, F Ji, JSX Chong, Z Lu, W Huang, KK Ang, KS Phua, ... Frontiers in Human Neuroscience 15, 692304, 2021 | 17 | 2021 |
Differential amplitude of low-frequency fluctuations in brain networks after BCI training with and without tDCS in stroke M Hu, F Ji, Z Lu, W Huang, R Khosrowabadi, L Zhao, KK Ang, KS Phua, ... 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 5 | 2018 |
Applications of Deep Learning to Neurodevelopment in Pediatric Imaging: Achievements and Challenges M Hu, C Nardi, H Zhang, KK Ang Applied Sciences 13 (4), 2302, 2023 | 2 | 2023 |
Brain Criticality EEG analysis for tracking neurodevelopment from Childhood to Adolescence M Hu, H Zhang, KK Ang 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | | 2023 |
Decomposing 3D Neuroimaging into 2+ 1D Processing for Schizophrenia Recognition M Hu, X Jiang, K Sim, JH Zhou, C Guan arXiv preprint arXiv:2211.11557, 2022 | | 2022 |
Statistical analysis and machine learning in multimodal brain imaging of neuropsychiatric disorders M Hu Nanyang Technological University, 2021 | | 2021 |