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Xueqing Peng
Xueqing Peng
在 yale.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
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), 2021
802021
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
702023
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
432019
Large language models in biomedical natural language processing: benchmarks, baselines, and recommendations
Q Chen, J Du, Y Hu, VK Keloth, X Peng, K Raja, R Zhang, Z Lu, H Xu
arXiv preprint arXiv:2305.16326, 2023
352023
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, ocad259, 2024
332024
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
312020
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
242019
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
192022
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
182021
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
172021
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
172021
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
112019
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
112019
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, ...
arXiv preprint arXiv:2402.12749, 2024
102024
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
72021
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
52024
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
32023
Twenty metabolic genes based signature predicts survival of glioma patients
W Xu, Z Liu, H Ren, X Peng, A Wu, D Ma, G Liu, L Liu
Journal of Cancer 11 (2), 441, 2020
32020
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
arXiv preprint arXiv:2404.05415, 2024
12024
Single-cell transcriptome profiling simulation reveals the impact of sequencing parameters and algorithms on clustering
Y Liu, A Wu, X Peng, X Liu, G Liu, L Liu
Life 11 (7), 716, 2021
12021
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