Jing Li

Kunming Medical University — China

Medicine · Health Sciences

16h-index1.4kcitations70works3.12yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Radiomics and Machine Learning in Medical Imaging(52), AI in cancer detection(22), Advanced X-ray and CT Imaging(8), Lung Cancer Diagnosis and Treatment(7), Pancreatic and Hepatic Oncology Research(6)

Publications69 total

Workflow-embedded AI as a cognitive scaffold: A randomized trial on knowledge retention and diagnostic competency in undergraduate radiology education
European Journal of Radiology Open·2026Open Access
Noninvasive evaluation of treatment-related protein expression status in advanced gastric cancer using dynamic nomograms with dual-energy CT: a multicenter study
European Radiology·2025
Abdominal Multi-organ Segmentation based on Multi-scale Convolutional Attention and Dynamic Feature Fusion
2025
SNX10 regulates the proliferation, apoptosis and cell cycle of acute B lymphoblastic leukemia cells via the PI3K/Akt signaling pathway
Oncology Reports·2025Open Access
Chinese Association of Ultrasound in Medicine and Engineering, Superficial Organs and Peripheral Vessels Committee Expert Consensus on Selected Common Clinical Issues in Parathyroid Ultrasound (2024 Edition)
Ultrasound in Medicine & Biology·2025
Knowledge-Informed Machine Learning for Cancer Diagnosis and Prognosis: A Review
IEEE Transactions on Automation Science and Engineering·2024· 7 citedOpen Access
Sub-pixel multi-scale fusion network for medical image segmentation
Multimedia Tools and Applications·2024· 4 cited
Unsupervised stain augmentation enhanced glomerular instance segmentation on pathology images
International Journal of Computer Assisted Radiology and Surgery·2024· 5 cited
Erratum to: Tracheal computed tomography radiomics model for prediction of the Omicron variant of severe acute respiratory syndrome coronavirus 2
Die Radiologie·2024Open Access
Predicting microvascular invasion in small (≤ 5 cm) hepatocellular carcinomas using radiomics-based peritumoral analysis
Insights into Imaging·2024· 18 citedOpen Access
Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm
arXiv (Cornell University)·2023· 1 citedOpen Access
The role of radiomics in computed tomography, magnetic resonance imaging, and ultrasound for renal tumors’ diagnoses: A systematic review
Journal of Radiation Research and Applied Sciences·2023Open Access
Human placental extract suppresses mast cell activation and induces mast cell apoptosis
Allergy Asthma and Clinical Immunology·2023· 5 citedOpen Access
Segmentation and thickness calculation of glomerular basement membrane using RADS-Net in glomerular microscopic images
Biomedical Signal Processing and Control·2023· 5 cited
Supplementary Data-Response Legends from An Unbiased Oncology Compound Screen to Identify Novel Combination Strategies
2023Open Access
Development of a hepatocellular carcinoma imaging database and structured imaging reports based on PACS, HIS, and repository
Frontiers in Oncology·2023· 2 citedOpen Access
Machine learning for predicting accuracy of lung and liver tumor motion tracking using radiomic features
Quantitative Imaging in Medicine and Surgery·2023· 3 citedOpen Access
Automated Detection of Pancreatic Cancer Using Non-Enhanced Computed Tomography with Deep Learning: A Multicenter Study
SSRN Electronic Journal·2023Open Access
Spectral CT for preoperative prediction of lymphovascular invasion in resectable gastric cancer: With external prospective validation
Frontiers in Oncology·2022· 12 citedOpen Access
A CT-based nomogram for differentiating invasive fungal disease of the lung from bacterial pneumonia
BMC Medical Imaging·2022· 5 citedOpen Access
page 1 of 4Next →

Frequent Co-authors

Teresa Wu(7), Chengwei Shao(5), Bhavika Patel(4), Hang Sun(4), Yun Bian(4), Fang Liu(4), Xu Fang(4), Bin Zheng(3), Hong Li(3), Shi Zhou(3), Jieyu Yu(3), Li Wang(3), Jianping Lu(3), Ensheng Xue(3), Nan Bao(3), Leland Hu(3), Kristin R. Swanson(3), Jing Yang(3), Fei Gao(2), Jinzhong Yang(2)