代表性科研项目
1.重庆市技术创新与应用发展专项重大项目，脑肿瘤微环境刻画与智慧诊断，2025.02-2028.02，150万，在研，主持
2.重庆市科技局科技项目，百姓的放射影像专家系列科普活动，2023.09-2024.09，10万元，结题，主持
3.北京巿医学奖励基金会睿影基金资助项目，基于定量CT评估克罗恩病患者的身体成分参数及其与临床预后的相关性研究,2024.02-2027.01，10万元，在研，主持
4.国家工信部、国家卫健委5G+医疗健康应用项目，5G+远程诊断，2021.05-2025.04，600万元，结题，主持
5.重庆市科技局科技项目（重点项目），医学影像助力健康中国，2021.07.01-2022.12.30，20万元，结题，主持
6.重庆市科技局技术创新与应用发展专项，基于临床医学影像数据交换云平台解决方案的国产医疗应用研究，2020.09-2023.08，120万元，结题，主持
7.重庆市科技局卫健委联合医学科研项目（重点项目），急性缺血性脑卒中患者大脑结构-功能特性与临床预后相关性研究，2019.09-2022.08，20万元，结题，主持
8.重庆巿人民医院医学科创项目（重点项目），急性缺血性脑卒中患者大脑结构-功能特性与预后相关性研究，2019.06-2022.05，8万元，结题，主持
9.单侧大脑中动脉重度狭窄或闭塞患者SWI与PWI的对比研究，重庆市渝中区基础研究与前沿探索项目，2018.11-2021.10，10万元，结题，主持
10.重庆市卫计委2017年度科研项目，针刺对缺血中风患者脑局部一致性影响的功能磁共振研究，2017.08-2020.07，4万元，结题，主持
11.重庆市医学科研计划项目，冠状动脉严重钙化性狭窄与心肌缺血的负荷MR灌注成像研究，2014.08-2017.07，4万元，结题，主持
12.重庆巿科学技术委员会科技计划项目，腺苷负荷MR灌注成像评估心肌缺血与冠状动脉狭窄程度间的相关性研究，2014.07-2017.06，10万元，结题，主持
13.重庆市医学科研计划项目，犬急性心肌梗死后早期左室重构及药物干预不同时期MSCT评价，2012.10-2015.09，6万元，结题，主持
荣获奖励
2024年获得重庆巿科技进步三等奖一项
2022年获得中国发明协会一等奖一项
2021年获得重庆巿科技进步三等奖一项
2016年获得重庆巿科技进步三等奖一项
代表性学术论文
1.Tang K, Han L, Li J, et al. Machine learning-driven comprehensive profiling of tumor heterogeneity and sialylation in hepatocellular carcinoma. npj Precis Onc. 2025 Dec 17; 10: 13. doi: 10.1038/s41698-025-01213-z
2.Tang K, Wu X, Li J, Yu L, Yang L, Zhang Y, Zhang L, Wang Y, Li K. Topological Radiomics in Predicting Mucosal Healing and Activity Score of Crohn's Disease Using Multi-Task Deep Learning. J Inflamm Res. 2025 Dec 23; 18: 17895-17910. doi: 10.2147/JIR.S555403
3.Wan B, Xiong S, Tian D J, Liu Y, Li K, He G Q. Assessment of the impact of vaginal delivery on the levator ani muscle using intravoxel incoherent motion MRI. Int Urogynecol J. 2025 Dec 13. doi: 10.1007/s00192-025-06462-x.
4.Chen J, Zhou S Q, Gu M, Li K. Development of a new threshold for pericoronary fat attenuation based on 40 keV virtual monoenergetic images from dual-energy spectral CT. Front Cardiovasc Med. 2025 Nov 19; 12: 1679078. doi: 10.3389/fcvm.2025.1679078.
5.Wu X, Yang L, Yu L, Zhang L, Liu N, Lu X, Li K. Abnormal structural changes and disturbed functional connectivity in patients with Crohn’s disease and abdominal pain: a voxel-based morphometry and functional magnetic resonance imaging study. Quant Imaging Med Surg. 2025 Sep 1; 15(9): 8265-8281. doi: 10.21037/qims-2024-2572
6.Zhang L, Tang W, Yang L, Wu X, Deng X, Yu L, Liu Y, Li K. Changes in white matter microstructure in the brain of patients with inflammatory bowel disease are associated with abdominal pain. Front Neurosci. 2025 Jul 8; 19: 1570425. doi: 10.3389/fnins.2025.1570425
7.吴欣妍，杨玲，余丽，等.基于rs-fMRI图论方法分析克罗恩病伴慢性腹痛患者的脑功能网络特征[J].磁共振成像，2025，16(4): 12-18，113. doi: 10.12015/issn.1674-8034.2025.04.003.
8.余丽，杨玲，吴欣妍，等.克罗恩病伴负面情绪患者的大脑多模态影像技术研究进展[J].磁共振成像，2025，16(04)：132-138. doi: 10.12015/issn.1674-8034.2025.04.021
9.Xie G, Gao J, Liu J, Zhou X, Zhao Z, Tang W, Zhang Y, Zhang L, Li K. Imaging-based machine learning to evaluate the severity of ischemic stroke in the middle cerebral artery territory. BMC Med Imaging. 2025 May 30;25(1):199. doi: 10.1186/s12880-025-01745-7
10.谢刚，高靳，刘建，李娅，张凌峰，张月，李康.基于CT影像组学预测急性缺血性脑卒中的发病时间窗[J].临床放射学杂志，2025，44(12): 2284-2289
11.Zhang L, Zhang Y, Yang C, Zhang Y, Xie G, Wang D, Li K. Predicting malignant cerebral edema after acute ischemic stroke: a machine-learning model with multi-region radiomics. Quant Imaging Med Surg. 2025 Jun 03. doi: 10.21037/qims-2024-2751
12.Li T, Liu H, Wang L J, Su X L, Hu Q L, Li K. Imaging of non-stenotic carotid plaque for embolic stroke of undetermined source. Eur J Radiol. 2025 April 5; 187: 112097. doi: 10.1016/j.ejrad.2025.112097.
13.Yang L, Zhang L, Liu Y, Liu J, Li K, Cai J. The different impacts of pain-related negative emotion and trait negative emotion on brain function in patients with inflammatory bowel disease. Sci Rep. 2024 Oct 12;14(1):23897. doi: 10.1038/s41598-024-75237-z
14.Li J, Xie G, Tang W, Zhang L, Zhang Y, Zhang L, Wang D, Li K. Establishing a machine learning model based on dual-energy CT enterography to evaluate Crohn's disease activity. Insights Imaging. 2024 May 12;15(1):115. doi: 10.1186/s13244-024-01703-
15.Yang L, He P, Zhang L, Li K. Altered resting-state brain functional activities and networks in Crohn's disease: a systematic review. Front Neurosci. 2024 Jan 24;18:1319359. doi: 10.3389/fnins.2024.1319359
16.Tu YB, Gu M, Zhou SQ, Xie G, Liu LL, Deng FB, Li K. Pericoronary adipose tissue attenuation in patients with acute aortic dissection based on coronary computed tomography angiography. Quant Imaging Med Surg. 2024 Jan 3;14(1):31-42. doi: 10.21037/qims-23-253
17.Zhou SQ, Luo F, Ran X, Yang J, Lv FR, Li K. Nonlinear association between lung needle path CT attenuation values and postprocedural immediate pneumothorax following computed tomography-guided lung biopsy: a retrospective cohort study. BMC Pulm Med. 2024 Nov 14;24(1):567. doi: 10.1186/s12890-024-03343-9
18.Li J, Zhang L, Tang W, Zhang Y, Zhang L, Yu M, Li K. Radiomics nomogram based on dual-energy CT-derived iodine maps: evaluation of mucosal healing in patients with Crohn's disease. Abdom Radiol (NY). 2025 Apr;50(4):1524-1532. doi: 10.1007/s00261-024-04598-w
19.Zhang L, Xie G, Zhang Y, Li J, Tang W, Yang L, Li K. A CT-based machine learning model for using clinical-radiomics to predict malignant cerebral edema after stroke: a two-center study. Front Neurosci. 2024 Oct 3;18:1443486. doi: 10.3389/fnins.2024.1443486
20.Yi R, Li T, Xie G, Li K. Diagnosis of benign and malignant thyroid nodules by a dual-layer spectral detector CT-based nomogram. Front Oncol. 2023 Mar 17:13:1132817. doi: 10.3389/fonc.2023.1132817. eCollection 2023.
21.Wan B, Hu B, Zhao M, Li K. Deep learning-based magnetic resonance image segmentation technique for application to glioma. Front. Med. 10:1172767. doi: 10.3389/fmed.2023.1172767. eCollection 2023.
22.Tang W, Xie G, Li J, Tan W, Yi R, Yang L, Zhang L, Deng J, Zhang Y, Li K. Body composition parameters correlate with the endoscopic severity in Crohn's disease patients treated with infliximab. Front Nutr. 2023 Aug 21;10:1251448. doi: 10.3389/fnut.2023.1251448. eCollection 2023.
23.Tang W, Xie G, Wang DN, Li T, Ren Y, Li J, Deng J, Li K. Imaging-based assessment of body composition in patients with Crohn's disease: a systematic review. Int J Colorectal Dis. 2023;38(1):126. doi: 10.1007/s00384-023-04413-w.
24.Xie G, Li T, Ren Y, Wang D, Tang W, Li J, Li K. Radiomics-based infarct features on CT predict hemorrhagic transformation in patients with acute ischemic stroke. Front Neurosci. 2022 Sep 21;16:1002717. doi: 10.3389/fnins.2022.1002717. eCollection 2022.
25.Deng F, Mu C, Yang L, Yi R, Gu M, Li K. The Differentiation in Image Post-processing and 3D Reconstruction During Evaluation of Carotid Plaques From MR and CT Data Sources. Front Physiol. 2021;12:645438. doi: 10.3389/fphys.2021.645438. eCollection 2021.
26.Deng F, Mu C, Yang L, Li H, Xiang X, Li K, Yang Q. Carotid plaque magnetic resonance imaging and recurrent stroke risk: A systematic review and meta-analysis. Medicine (Baltimore). 2020 Mar;99(13):e19377. doi: 10.1097/MD.0000000000019377.
27.Deng F, Hao X, Tang Z, Mu C, Li K, Li H. Carotid plaque magnetic resonance imaging and recurrent stroke risk: A protocol for systematic review and meta-analysis. Medicine (Baltimore). 2019 May;98(18):e15410. doi: 10.1097/MD.0000000000015410.
28.Zhou SQ,Li K. Native T1-mapping detects acute myocardial infarction without application of gadolinium contrast agents. Int J Clin Exp Med.2019;12(2):1888-1896.
29.Li K, Ding D, Zhang M. Neuroprotection of Osthole against Cerebral Ischemia/Reperfusion Injury through an Anti-apoptotic Pathway in Rats. Biol Pharm Bull. 2016;39(3):336-42. doi: 10.1248/bpb.b15-00699.
30.Li K, Liu L, Yin Q, Dun W, Xu X, Liu J, Zhang M. Abnormal rich club organization and impaired correlation between structural and functional connectivity in migraine sufferers. Brain Imaging Behav. 2017 Apr;11(2):526-540. doi: 10.1007/s11682-016-9533-6.
