论文
Yuan, J., Siakallis, L., Li, H.B. et al. Structural- and DTI- MRI enable automated prediction of IDH Mutation Status in CNS WHO Grade 2–4 glioma patients: a deep Radiomics Approach. BMC Med Imaging 24, 104 (2024). https://doi.org/10.1186/s12880-024-01274-9
Li L, Lin X, Liao T, Ouyang R, Li M, Yuan J, Ma J. Clinical application of convolutional neural network for mass analysis on mammograms. Quant Imaging Med Surg. 2023 Dec 1;13(12):8413-8422. doi: 10.21037/qims-23-642. Epub 2023 Oct 27. PMID: 38106316; PMCID: PMC10722008.
Liu X, Xu T, Peng Y, Yuan J, Wang S, Xu W, Gong J. Non-contrast cine cardiovascular magnetic resonance-based radiomics nomogram for predicting microvascular obstruction after reperfusion in ST-segment elevation myocardial infarction. Front Cardiovasc Med. 2023 Nov 3;10:1274267. doi: 10.3389/fcvm.2023.1274267. PMID: 38028453; PMCID: PMC10655024.
Changsi Jiang;Yan Luo;Jialin Yuan;Shuyuan You;Zhiqiang Chen;Mingxiang Wu;Guangsuo Wang;Jingshan Gong. CT-based radiomics and machine learning to predict spread through air space in lung adenocarcinoma. European Radiology, Volume 30, pages 4050–4057, (2020). DOI.10.1007/s00330-020-06694-z
Mingxiang Wu, Xiaoling Zhong, Quanzhou Peng, Mei Xu, Shelei Huang, Jialin Yuan, Jie Ma, Tao Tan. Prediction of molecular subtypes of breast cancer using BI-RADS features based on a "white box" machine learning approach in a multi-modal imaging setting. European Journal of Radiology, Volume 114, May 2019, Pages 175-184.
Yuan J, Gong J. CT features of metanephric adenoma: a case report and review of the literature[J]. Quant Imaging Med Surg, 2014, 4(6):505-508.
Diana Roettger;Jialin Yuan;Laura Mancini;Steffi Thust;Sebastian Brandner;Jeremy Rees;Andrew McEvoy;Sotirios Bisdas. The role of diffusion tensor imaging for non-invasive IDH phenotyping in gliomas. Journal of Clinical Oncology, 2018. DOI.10.1200/jco.2018.36.15_suppl.e24174
袁东, 龚静山, 袁家琳,等. 卵巢表面浆液性交界性乳头状瘤MRI表现及临床病理对照[J]. 中国CT和MRI杂志,2020, 18(8):3.
刘永光, 罗益贤, 袁家琳,等. 功能磁共振成像评估乳腺癌新辅助化疗疗效的应用效果[J]. 现代医用影像学, 2019, 028(012):2610-2611,2625.
罗益贤,马捷,刘永光,袁家琳,钟小玲,弋春燕,许梅DWI及DCE-MRI评价新辅助化疗对不同分子分型乳腺癌的疗效. 医学影像学杂志.2019,6:962-968
罗燕,唐雪,龚静山,梅东东,吴明祥,袁家琳,徐坚民. 脑胶质瘤放射基因组学研究进展[J]. 国际医学放射学杂志,2018,41(5):554-557
刘波,李龙,冯婕,袁家琳,李红. (2018).成人心肺复苏后缺血缺氧脑病的MRI表现与分型. 临床放射学杂志, 37（1）,28-32
龚静山, 凌人男, 周阳泱, 朱进, 贾桂静, 袁家琳, 王毅祥. (2016). 采用3.0t MRI t2和t2* mapping评价下腰痛患者腰椎间盘退变. 中国CT和MRI杂志, 14(10), 113-116.
周敬淳, 刘明, 张伟, 鄢敏, 袁家琳, & 张菁菁. (2015). 鼻咽癌动态增强mri相关参数及其与dlc-1表达的关系. 中国老年学, v.35(19), 169-171.
著作及翻译书籍
参与翻译《乳腺影像学：核心复习》第二版 （书名原文：Breast Imaging:A Core Review），天津：天津科技翻译出版有限公司，2020.08出版，ISNB 978-7-543-33990-3。
《乳腺融合影像学》(Multi-modality Fusion Imageology on Breast)，人民卫生出版社，ISBN 978-7-117-24635-4/R.24636
《血管瘤与血管畸形诊疗图谱》（Hemangiomas and Vascular Malformations: An Atlas of Diagnosis and Treatment）,人民军医出版社，ISBN 978-7-5091-4806-8
授权发明专利及计算机软件著作权
马捷,赵乐勇,矫娜,袁家琳,陶红,胡泓,严文辉，一种用于筛查和监测乳腺癌的多模影像学系统，2015.12.16，中国，CN105147398A
深圳市人民医院（深圳市呼吸疾病研究所），袁家琳，马捷，国人乳腺X线BI-RADS分类辅助诊断及结构化报告书写软件，2023.10.27 ，中国，2023SR1324898
于江波，曹圳杰，马捷；袁家琳，一种可视化的乳腺医学影像分析装置，专利申请日：2023年9月11日；授权公告日2024年7月9日，专利号：ZL 2023 2 2467846.3；授权公告号：CN 221303907 U
会议论文
1.Jialin Yuan, Sotirios Bisdas，Laura Mancini，CAN HISTOGRAM ANALYSIS OF DIFFUSION TENSOR IMAGING IDENTIFY GLIOMA IDH MUTATION STATUS?, Asia-Oceanian Congress of Neuroradiology (AOCNR), International Convention Center Taipei, 18-20 March 2018
2. Jialin Yuan, Sotirios Bisdas，Laura Mancini，Association between 1p/19q Co-deletion Status and Diffusion Tensor Imaging Metrics in IDH Mutant Type Gliomas, Symposium Neuroradiologicum (SNR), International Convention Center Taipei, 19-23 March 2018
3. Diana Roettger, Jialin Yuan, Laura Mancini, Steffi Thust, Sebastian Brandner, Jeremy Rees, Andrew McEvoy, Sotirios Bisdas, THE ROLE OF DIFFUSION TENSOR IMAGING FOR NON-INVASIVE IDH PHENOTYPING IN GLIOMAS，American Society of Clinical Oncology (ASCO), June 1-5, 2018 Chicago, USA.
4. Sotirios Bisdas, Jialin Yuan, Laura Mancini, Diana Roettger，CAN DIFFUSION TENSOR MRI IDENTIFY GLIOMA IDH MUTATION STATUS?， European Society for Medical Oncology (ESMO)，Munich, Germany，19-23 Oct 2018
5.J. Yuan, Z. Cao, R. Ouyang, J. Ma, X. Lin, J. Gong，Enhancing Mammographic Calcification Diagnosis: Evaluating the Efficacy of Deep Learning Integration with Junior and Senior Radiologist Readings，European Congress of Radiology 2024, Vienna, Austria, Feb.28 to Mar.3, 2024
Membership
China Association of Cancer Prevention Neurotumor Specialized Committee 中国抗癌协会神经肿瘤分会委员
Guangdong Association of Cancer Tumour Imagings Specialized Committee 广东省抗癌协会肿瘤影像专业委员会第一届青年委员会委员
Member of the Radiologists Branch of Shenzhen Physicians Association Association 深圳市医师协会放射医师分会理事会理事
Member of the Breast Section of the Shenzhen Medical Association深圳市医学会乳腺学组委员
Cancer Imaging and Big Data Special Committee of Guangdong Medical Association 广东省医学会肿瘤影像与大数据专委会青年学组委员
Member of the Shenzhen Alliance Brain Tumor and Brain Metastasis Professional Committee of the China Cancer Prevention and Treatment Alliance中国肿瘤防治联盟深圳市联盟脑瘤和脑转移瘤专业委员会委员
Awards
1. the First Prize of the English Speech Contest at the Academic Conference of the 17th Radiology Congress and the 7th Radiology Technology Congress of Guangdong Medical Association
广东省医学会第十七次放射医学学术会议暨第七次影像技术学学术会议英文演讲比赛一等奖（2018.8.12）
2. the First Prize of the Case Report Contest at the 2018 Shenzhen Medical Doctor Association Radiologist Branch Annual Conference
2018年深圳市医师协会放射分会读片会一等奖（2018.9.15）
3. the First Prize of the 2018 Shenzhen Difficult Cases Final Contest
2018年度深圳市疑难病例读片会总决赛一等奖（2018.12.15）
4. 艾力彼2022创新科技赋能医管案例大赛——影像未来 一等奖（2022.12.26）
5. 深圳2023年度十大健康科普之星（2023.12.26）
6. 深圳市对口帮扶和平县支医工作和平县卫生健康局授予“最美医师”称号（2023.11）
7. 深圳市对口和平县医疗卫生帮扶工作深圳对口帮扶和平工作组“优秀帮扶工作者”称号（2023.11）
8.深圳市人民医院2024年健康教育优秀工作者
