Metabolic changes after amputation using magnetic resonance spectroscopy. - Zhuo Wang; Xiaoli Guo; Yuanyuan Lyu; Yao Li 010; Jianbo Xiang; Changjie Pan; Shanbao Tong (NER, 2017)

Cortical Characterization of Reverberation Time in Reverberant Speech. - Chengpin Luo; Changjie Pan; Dingchang Zheng; Fei Chen 011 (EMBC, 2020)

Segmentation to Label: Automatic Coronary Artery Labeling from Mask Parcellation. - Zhuowei Li 002; Qing Xia 002; Wenji Wang; Zhennan Yan; Ruohan Yin; Changjie Pan; Dimitris N. Metaxas (MLMI@MICCAI, 2020)

Image Pattern Recognition Combined With Data Mining for Diagnosis and Detection of Myocardial Infarction. - Xiaoqiang Tang; Ming Zhang; Haifeng Shi; Changjie Pan (IEEE Access, 2020)

The Effects of Classification Method and Electrode Configuration on EEG-based Silent Speech Classification. - Changjie Pan; Ying-Hui Lai; Fei Chen 011 (EMBC, 2021)

A Method To Map EEG Signals To Spoken Speech Using Gaussian Process Modeling. - Hongde Wu; Changjie Pan; Mingtao Li; Fei Chen 011 (EUSIPCO, 2021)

Perceptual Contributions of Vowels and Consonant-Vowel Transitions in Understanding Time-Compressed Mandarin Sentences. - Changjie Pan; Feng Yang; Fei Chen 011 (Interspeech, 2021)

Impact of Mismatched Spectral Amplitude Levels on Vowel Identification in Simulated Electric-acoustic Hearing. - Changjie Pan; Fei Chen 011 (ISCSLP, 2021)

Speech Modality Classification with Cortical EEG Signals. - Changjie Pan; Zhixing Liu; Fei Chen 011 (NER, 2021)

Neural Entrainment to Rhythms of Imagined Syllables. - Changjie Pan; Haipeng Liu 001; Dingchang Zheng; Fei Chen 011 (EMBC, 2022)

Upper-Limb Amputation Disrupts the Interhemispheric Structural Rather than Functional Connectivity. - Kexu Zhang; Chaowei Wu; Yuanyuan Lyu; Jianbo Xiang; Changjie Pan; Xiaoli Guo; Shanbao Tong (Brain Connect., 2023)

Estimating Upper-extremity Function with Raw Kinematic Trajectory Data after Stroke using End-to-end Machine Learning Approach. - Wanyi Qing; Changjie Pan; Jianing Zhang; Chun-Yan Chau; Chun-Hin Mui; Xiaoling Hu 003 (EMBC, 2024)

Predicting malignancy in breast lesions: enhancing accuracy with fine-tuned convolutional neural network models. - Li Li; Changjie Pan; Ming Zhang; Dong Shen; Guangyuan He; Mingzhu Meng (BMC Medical Imaging, 2024)