| Deep learning–based automatic segmentation of lumbosacral nerves on CT for spinal Intervention: a translational Study G Fan, H Liu, Z Wu, Y Li, C Feng, D Wang, J Luo, WM Wells, S He American Journal of Neuroradiology 40 (6), 1074-1081, 2019 | 35 | 2019 |
| Mixed reality− based preoperative planning for training of percutaneous transforaminal endoscopic discectomy: a feasibility study H Yu, Z Zhou, X Lei, H Liu, G Fan, S He World neurosurgery 129, e767-e775, 2019 | 28 | 2019 |
| Deep learning-based lumbosacral reconstruction for difficulty prediction of percutaneous endoscopic transforaminal discectomy at L5/S1 level: A retrospective cohort study G Fan, H Liu, D Wang, C Feng, Y Li, B Yin, Z Zhou, X Gu, H Zhang, Y Lu, ... International Journal of Surgery 82, 162-169, 2020 | 23 | 2020 |
| Machine learning-based prediction of prolonged intensive care unit stay for critical patients with spinal cord injury G Fan, S Yang, H Liu, N Xu, Y Chen, J He, X Su, M Pang, B Liu, L Han, ... Spine 47 (9), E390-E398, 2022 | 18 | 2022 |
| Automated breast volume scanner (ABVS)-based radiomic nomogram: a potential tool for reducing unnecessary biopsies of BI-RADS 4 lesions SJ Wang, HQ Liu, T Yang, MQ Huang, BW Zheng, T Wu, C Qiu, LQ Han, ... Diagnostics 12 (1), 172, 2022 | 12 | 2022 |
| Research topics and hotspot trends of lumbar spondylolisthesis: a text-mining study with machine learning G Fan, Y Li, S Yang, J Qin, L Huang, H Liu, S He, X Liao Frontiers in Surgery 9, 1037978, 2023 | 8 | 2023 |
| Accuracy and reliability analysis of a machine learning based segmentation tool for intertrochanteric femoral fracture CT D Wang, Z Wu, G Fan, H Liu, X Liao, Y Chen, H Zhang Frontiers in Surgery 9, 913385, 2022 | 7 | 2022 |
| Machine learning predict survivals of spinal and pelvic Ewing’s sarcoma with the SEER Database G Fan, S Yang, J Qin, L Huang, Y Li, H Liu, X Liao Global Spine Journal 14 (4), 1125-1136, 2024 | 5 | 2024 |
| Semi-supervised semantic segmentation of multiple lumbosacral structures on ct H Liu, H Xiao, L Luo, C Feng, B Yin, D Wang, Y Li, S He, G Fan Computational Methods and Clinical Applications for Spine Imaging: 6th …, 2020 | 5 | 2020 |
| Deep learning based on susceptibility-weighted MR sequence for detecting cerebral microbleeds and classifying cerebral small vessel disease R Wu, H Liu, H Li, L Chen, L Wei, X Huang, X Liu, X Men, X Li, L Han, ... BioMedical Engineering OnLine 22 (1), 99, 2023 | 4 | 2023 |
| Commentary: Radiomics in oncology: A 10-year bibliometric analysis G Fan, J Qin, H Liu, X Liao Frontiers in Oncology 12, 891056, 2022 | 4 | 2022 |
| Deep learning based automatic segmentation of lumbosacral nerves on non-contrast CT for radiographic evaluation: a pilot study G Fan, H Liu, Z Wu, Y Li, C Feng, D Wang, J Luo, X Guan, WM Wells III, ... arXiv preprint arXiv:1811.11843, 2018 | 4 | 2018 |
| Discharge prediction of critical patients with spinal cord injury: a machine learning study with 1485 cases G Fan, H Liu, S Yang, L Luo, L Wang, M Pang, B Liu, L Zhang, L Han, ... medRxiv, 2021.06. 26.21259569, 2021 | 3 | 2021 |
| Exploring Genomic Large Language Models: Bridging the Gap between Natural Language and Gene Sequences H Liu, S Zhou, P Chen, J Liu, KG Huo, L Han bioRxiv, 2024.02. 26.581496, 2024 | 2 | 2024 |
| Machine Learning Predicts Decompression Levels for Lumbar Spinal Stenosis Using Canal Radiomic Features from Computed Tomography Myelography G Fan, D Wang, Y Li, Z Xu, H Wang, H Liu, X Liao Diagnostics 14 (1), 53, 2023 | 2 | 2023 |
| Early Prognostication of Critical Patients With Spinal Cord Injury: A Machine Learning Study With 1485 Cases G Fan, H Liu, S Yang, L Luo, M Pang, B Liu, L Zhang, L Han, L Rong, ... Spine 49 (11), 754-762, 2024 | 1 | 2024 |
| PPB-Affinity: Protein-Protein Binding Affinity dataset for AI-based protein drug discovery H Liu, P Chen, X Zhai, KG Huo, S Zhou, L Han, G Fan Scientific Data 11 (1), 1-11, 2024 | | 2024 |
| Multiview deep learning networks based on automated breast volume scanner images for identifying breast cancer in BI-RADS 4 Y Li, C Li, T Yang, L Chen, M Huang, L Yang, S Zhou, H Liu, J Xia, ... Frontiers in Oncology 14, 1399296, 2024 | | 2024 |
| Automatic segmentation of dura for quantitative analysis of lumbar stenosis: A deep learning study with 518 CT myelograms G Fan, Y Li, D Wang, J Zhang, X Du, H Liu, X Liao Journal of Applied Clinical Medical Physics 25 (7), e14378, 2024 | | 2024 |
| Research topics and trends of lumbar spondylolisthesis: a bibliometric study with machine-learning based text mining G Fan, J Qin, Y Li, S Yang, L Huang, H Liu, S He, X Liao medRxiv, 2022.05. 25.22275576, 2022 | | 2022 |
