| Improving large language models for clinical named entity recognition via prompt engineering Y Hu, Q Chen, J Du, X Peng, VK Keloth, X Zuo, Y Zhou, Z Li, X Jiang, Z Lu, ... Journal of the American Medical Informatics Association 31 (9), 1812-1820, 2024 | 134 | 2024 |
| Zero-shot clinical entity recognition using chatgpt Y Hu, I Ameer, X Zuo, X Peng, Y Zhou, Z Li, Y Li, J Li, X Jiang, H Xu arXiv preprint arXiv:2303.16416, 2023 | 90 | 2023 |
| A deep learning-based quantitative computed tomography model for predicting the severity of COVID-19: a retrospective study of 196 patients W Shi, X Peng, T Liu, Z Cheng, H Lu, S Yang, J Zhang, M Wang, Y Gao, ... Annals of Translational Medicine 9 (3), 216, 2021 | 85 | 2021 |
| Attenuation and morphologic characteristics distinguishing a ground-glass nodule measuring 5–10 mm in diameter as invasive lung adenocarcinoma on thin-slice CT Y Zhan, X Peng, F Shan, M Feng, Y Shi, L Liu, Z Zhang American Journal of Roentgenology 213 (4), W162-W170, 2019 | 49 | 2019 |
| Large language models in biomedical natural language processing: benchmarks, baselines, and recommendations Q Chen, J Du, Y Hu, V Kuttichi Keloth, X Peng, K Raja, R Zhang, Z Lu, ... arXiv e-prints, arXiv: 2305.16326, 2023 | 48 | 2023 |
| Me-llama: Foundation large language models for medical applications Q Xie, Q Chen, A Chen, C Peng, Y Hu, F Lin, X Peng, J Huang, J Zhang, ... Research square, rs. 3. rs-4240043, 2024 | 45 | 2024 |
| Advancing entity recognition in biomedicine via instruction tuning of large language models VK Keloth, Y Hu, Q Xie, X Peng, Y Wang, A Zheng, M Selek, K Raja, ... Bioinformatics 40 (4), btae163, 2024 | 36 | 2024 |
| An unsupervised semi-automated pulmonary nodule segmentation method based on enhanced region growing H Ren, L Zhou, G Liu, X Peng, W Shi, H Xu, F Shan, L Liu Quantitative Imaging in Medicine and Surgery 10 (1), 233, 2020 | 35 | 2020 |
| Repeatability and reproducibility of computed tomography radiomics for pulmonary nodules: a multicenter phantom study X Peng, S Yang, L Zhou, Y Mei, L Shi, R Zhang, F Shan, L Liu Investigative radiology 57 (4), 242-253, 2022 | 31 | 2022 |
| HIV-infected patients with opportunistic pulmonary infections misdiagnosed as lung cancers: the clinicoradiologic features and initial application of CT radiomics W Shi, L Zhou, X Peng, H Ren, Q Wang, F Shan, Z Zhang, L Liu, Y Shi Journal of thoracic disease 11 (6), 2274, 2019 | 27 | 2019 |
| Development and Validation a Nomogram Incorporating CT Radiomics Signatures and Radiological Features for Differentiating Invasive Adenocarcinoma From Adenocarcinoma In Situ … L Shi, W Shi, X Peng, Y Zhan, L Zhou, Y Wang, M Feng, J Zhao, F Shan, ... Frontiers in oncology 11, 618677, 2021 | 24 | 2021 |
| CT-based radiomics for differentiating invasive adenocarcinomas from indolent lung adenocarcinomas appearing as ground-glass nodules: A systematic review L Shi, J Zhao, X Peng, Y Wang, L Liu, M Sheng European Journal of Radiology 144, 109956, 2021 | 19 | 2021 |
| DeepSDM: Boundary-aware pneumothorax segmentation in chest X-ray images Y Wang, K Wang, X Peng, L Shi, J Sun, S Zheng, F Shan, W Shi, L Liu Neurocomputing 454, 201-211, 2021 | 18 | 2021 |
| Cancer stem cell associated eight gene‑based signature predicts clinical outcomes of colorectal cancer C Dong, D Cui, G Liu, H Xu, X Peng, J Duan, L Liu Oncology letters 17 (1), 442-449, 2019 | 11 | 2019 |
| One-lincRNA and five-mRNA based signature for prognosis of multiple myeloma patients undergoing proteasome inhibitors therapy Y Liu, N Yang, X Peng, G Liu, H Zhong, L Liu Biomedicine & Pharmacotherapy 118, 109254, 2019 | 10 | 2019 |
| Attention-Based Deep Multiple-Instance Learning for Classifying Circular RNA and Other Long Non-Coding RNA Y Liu, Q Fu, X Peng, C Zhu, G Liu, L Liu Genes 12 (12), 2018, 2021 | 9 | 2021 |
| Development of a Natural Language Processing Tool to Extract Acupuncture Point Location Terms Y Li, X Peng, J Li, S Peng, D Pei, C Tao, H Xu, N Hong 2023 IEEE 11th International Conference on Healthcare Informatics (ICHI …, 2023 | 8 | 2023 |
| Zero-shot clinical entity recognition using ChatGPT. arXiv Y Hu, I Ameer, X Zuo, X Peng, Y Zhou, Z Li, Y Li, J Li, X Jinag, H Xu arXiv preprint arXiv:2303.16416, 2023 | 7 | 2023 |
| Large language models in biomedical natural language processing: benchmarks, baselines, and recommendations. 2023 Q Chen, J Du, Y Hu, VK Keloth, X Peng, K Raja, R Zhang, X Lu, H Xu arXiv preprint arXiv:2305.16326, 0 | 7 | |
| Relation extraction using large language models: a case study on acupuncture point locations Y Li, X Peng, J Li, X Zuo, S Peng, D Pei, C Tao, H Xu, N Hong Journal of the American Medical Informatics Association 31 (11), 2622-2631, 2024 | 6 | 2024 |
Lei LiuFudan Universityبريد إلكتروني تم التحقق منه على fudan.edu.cn