| Enhancing psychological counseling with large language model: A multifaceted decision-support system for non-professionals G Fu, Q Zhao, J Li, D Luo, C Song, W Zhai, S Liu, F Wang, Y Wang, ... arXiv preprint arXiv:2308.15192, 2023 | 19 | 2023 |
| Distant supervision for mental health management in social media: suicide risk classification system development study G Fu, C Song, J Li, Y Ma, P Chen, R Wang, BX Yang, Z Huang Journal of medical internet research 23 (8), e26119, 2021 | 19 | 2021 |
| An unsupervised domain adaptation brain CT segmentation method across image modalities and diseases D Dong, G Fu, J Li, Y Pei, Y Chen Expert Systems with Applications 207, 118016, 2022 | 18 | 2022 |
| Attention-based full slice brain CT image diagnosis with explanations G Fu, J Li, R Wang, Y Ma, Y Chen Neurocomputing 452, 263-274, 2021 | 18 | 2021 |
| A multi-label classification model for full slice brain computerised tomography image J Li, G Fu, Y Chen, P Li, B Liu, Y Pei, H Feng BMC bioinformatics 21, 1-18, 2020 | 13 | 2020 |
| Towards a psychological generalist ai: A survey of current applications of large language models and future prospects T He, G Fu, Y Yu, F Wang, J Li, Q Zhao, C Song, H Qi, D Luo, H Zou, ... arXiv preprint arXiv:2312.04578, 2023 | 12 | 2023 |
| Characteristics of high suicide risk messages from users of a social network—sina weibo “tree hole” BX Yang, P Chen, XY Li, F Yang, Z Huang, G Fu, D Luo, XQ Wang, W Li, ... Frontiers in psychiatry 13, 789504, 2022 | 11 | 2022 |
| Diagnosis after zooming in: A multilabel classification model by imitating doctor reading habits to diagnose brain diseases R Wang, G Fu, J Li, Y Pei Medical physics 49 (11), 7054-7070, 2022 | 7 | 2022 |
| Supervised Learning and Large Language Model Benchmarks on Mental Health Datasets: Cognitive Distortions and Suicidal Risks in Chinese Social Media H Qi, Q Zhao, J Li, C Song, W Zhai, L Dan, S Liu, YJ Yu, F Wang, H Zou, ... | 6 | 2023 |
| Evaluating the efficacy of supervised learning vs large language models for identifying cognitive distortions and suicidal risks in chinese social media H Qi, Q Zhao, C Song, W Zhai, D Luo, S Liu, YJ Yu, F Wang, H Zou, ... arXiv preprint arXiv:2309.03564, 2023 | 6 | 2023 |
| Classification and recognition of computed tomography images using image reconstruction and information fusion methods P Li, J Li, Y Chen, Y Pei, G Fu, H Xie The Journal of Supercomputing 77, 2645-2666, 2021 | 6 | 2021 |
| Me-NDT: Neural-backed Decision Tree for Visual Explainability of Deep Medical Models FU Guanghui, R Wang, J Li, M Vakalopoulou, V Kalogeiton Medical Imaging with Deep Learning 2021, 2021 | 4 | 2021 |
| An Explainable Multi-Instance Multi-Label Classification Model for Full Slice Brain CT Images C Song, G Fu, J Li, Y Pei IFAC-PapersOnLine 53 (5), 780-785, 2020 | 4 | 2020 |
| Chinese MentalBERT: Domain-Adaptive Pre-training on Social Media for Chinese Mental Health Text Analysis W Zhai, H Qi, Q Zhao, J Li, Z Wang, H Wang, BX Yang, G Fu arXiv preprint arXiv:2402.09151, 2024 | 3 | 2024 |
| Introducing soft topology constraints in deep learning-based segmentation using projected pooling loss G Fu, R El Jurdi, L Chougar, D Dormont, R Valabregue, S Lehéricy, ... Medical Imaging 2023: Image Processing 12464, 359-364, 2023 | 3 | 2023 |
| Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging Classification Y Huang, J Zou, L Meng, X Yue, Q Zhao, J Li, C Song, G Jimenez, S Li, ... arXiv preprint arXiv:2402.07595, 2024 | 2 | 2024 |
| A Generic Review of Integrating Artificial Intelligence in Cognitive Behavioral Therapy M Jiang, Q Zhao, J Li, F Wang, T He, X Cheng, BX Yang, GWK Ho, G Fu arXiv preprint arXiv:2407.19422, 2024 | 1 | 2024 |
| AI-Enhanced Cognitive Behavioral Therapy: Deep Learning and Large Language Models for Extracting Cognitive Pathways from Social Media Texts M Jiang, YJ Yu, Q Zhao, J Li, C Song, H Qi, W Zhai, D Luo, X Wang, G Fu, ... arXiv preprint arXiv:2404.11449, 2024 | 1 | 2024 |
| Border irregularity loss for automated segmentation of primary brain lymphomas on post-contrast MRI R El Jurdi, L Nichelli, A Alentorn, G Vaillant, G Fu, K Hoang-Xuan, ... Medical Imaging 2024: Image Processing 12926, 430-437, 2024 | 1 | 2024 |
| Comparing foundation models and nnu-net for segmentation of primary brain lymphoma on clinical routine post-contrast t1-weighted MRI FU Guanghui, L Nichelli, D Herran, R Valabregue, A Alentorn, ... Medical Imaging with Deep Learning, 2024 | 1 | 2024 |
Jianqiang LiBeijing University of TechnologyVerified email at bjut.edu.cn
