| Sch-net: a deep learning architecture for automatic detection of schizophrenia J Fu, S Yang, F He, L He, Y Li, J Zhang, X Xiong BioMedical Engineering OnLine 20 (1), 75, 2021 | 18 | 2021 |
| Automatic detection of negative symptoms in schizophrenia via acoustically measured features associated with affective flattening F He, J Fu, L He, Y Li, X Xiong IEEE Transactions on Automation Science and Engineering 18 (2), 586-602, 2020 | 9 | 2020 |
| Automatic detection of pharyngeal fricatives in cleft palate speech using acoustic features based on the vocal tract area spectrum J Fu, F He, H Yin, L He Computer Speech & Language 68, 101203, 2021 | 3 | 2021 |
| Automatic Detection Algorithm of Pharyngeal Fricatives in Cleft Palate Speech Based on LPIF and Feature Selection J Fu, X Mo, S Huang, Y Meng, H Yin, L He 2018 International Conference on Electrical, Control, Automation and Robotic …, 2018 | 2 | 2018 |
| Segrap2023: A benchmark of organs-at-risk and gross tumor volume segmentation for radiotherapy planning of nasopharyngeal carcinoma X Luo, J Fu, Y Zhong, S Liu, B Han, M Astaraki, S Bendazzoli, ... arXiv preprint arXiv:2312.09576, 2023 | 1 | 2023 |
| Wnsa-net: An axial-attention-based network for schizophrenia detection using wideband and narrowband spectrograms L He, J Fu, Y Li, X Xiong, J Zhang IEEE/ACM Transactions on Audio, Speech, and Language Processing 31, 721-733, 2022 | 1 | 2022 |
| Automatic assessment of consonant omission and speech intelligibility in cleft palate speech X Wang, H Huang, J Fu, H Yin, L He Signal and Acoustic Modeling for Speech and Communication Disorders 5, 183, 2018 | 1 | 2018 |
| UM-CAM: Uncertainty-weighted Multi-resolution Class Activation Maps for Weakly-supervised Fetal Brain Segmentation J Fu, T Lu, S Zhang, G Wang International Conference on Medical Image Computing and Computer-Assisted …, 2023 | | 2023 |
Fei He (何飞)PhD, University of Electronic Science and Technology of ChinaEmail verificata su std.uestc.edu.cn
