1、神经影像：利用多模影像、图像分析统计以及机器学习等技术，研究神经精神疾病、代谢性脑病、脑损伤等神经相关疾病的发生、发展以及转归的影像学标记物。

2、医学影像大数据：建立医学影像数据的标准化处理流程，构建心脑血管以及肿瘤等疾病的影像大数据平台。

3、影像组学及人工智能：融合临床指标、影像数据以及遗传学等大数据资源，形成影像组学大数据，应用深度学习等人工智能算法，建立相关疾病早期诊断模型及预后模型。

联系方式：

Email：yunjiao#seu.edu.cn (将“#”替换为“@”)

荣誉奖励：

1、教育部科学技术进步一等奖：磁共振分子影像和功能影像研究和应用，2012（排名第七）

2、江苏省科学技术三等奖：儿童孤独症诊断有效性指标的筛选与早期干预，2012（排名第四）

3、江苏省科学技术二等奖：功能磁共振新技术的研究及其在脑疾病中的应用，2014（排名第四）

4、国家科学技术进步二等奖：基于磁共振成像的多模态分子影像与功能影像的研究与应用，2016（排名第五）

发表文章列表：

SCI:

1. Jiao Y, Chen R, Ke XY, Chu KK, Lu ZH, Herskovits EH. Predictive models of autism spectrum disorder based on brain regional cortical thickness. Neuroimage. 2010;50(2):589-99. doi:10.1016/j.neuroimage.2009.12.047.

2. Jiao Y, Chen R, Ke X, Cheng L, Chu K, Lu Z, et al. Predictive models for subtypes of autism spectrum disorder based on single-nucleotide polymorphisms and magnetic resonance imaging. Advances in Medical Sciences. 2011;56(2):334-42. doi:10.2478/v10039-011-0042-y. PubMed PMID: WOS:000300097400031.

3. ChenHJ, Zhu XQ, Jiao Y, Li PC, Wang Y,Teng GJ. Abnormal baseline brain activity in low-grade hepatic encephalopathy: A resting-state fMRI study. Journal ofthe Neurological Sciences. 2012;318(1-2):140-5. doi: 10.1016/j.jns.2012.02.019.

4. Jiao Y, Chen R, Ke XY, Cheng L, Chu KK, Lu ZH, et al. Single Nucleotide Polymorphisms Predict Symptom Severity of Autism Spectrum Disorder. J Autism Dev Disord. 2012;42(6):971-83.doi: 10.1007/s10803-011-1327-5.

5. Chen HJ, Jiao Y, Zhu XQ, Zhang HY, Liu JC, Wen S, et al. Brain Dysfunction Primarily Related to Previous Overt Hepatic Encephalopathy Compared with Minimal Hepatic Encephalopathy: Resting-State Functional MR Imaging Demonstration. Radiology. 2013;266(1):261-70. doi: 10.1148/radiol.12120026.

6. Tang TY, Jiao Y*（通讯）, Wang XH, Lu ZH. Gender versus brainsize effects on subcortical gray matter volumes in the human brain. Neuroscience Letters. 2013;556:79-83.doi: 10.1016/j.neulet.2013.09.060.

7. , Tang T, Wang H, Lu Z. Investigating univariate temporal patterns for intrinsic connectivity networks based on complexity and low-frequency oscillation: a test-retest reliability study. Neuroscience. 2013;254:404-26. doi:10.1016/j.neuroscience.2013.09.009.

8. Wang XH, Jiao Y*（通讯）, Tang TY, Wang H, Lu ZH. Altered regional homogeneity patterns in adults with attention-deficit hyperactivity disorder. European Journal of Radiology. 2013;82(9):1552-7. doi: 10.1016/j.ejrad.2013.04.009.

9. Chen YC, Jiao Y, Cui Y, Shang SA, Ding J, Feng Y, et al. Aberrant Brain Functional Connectivity Related to Insulin Resistance in Type 2 Diabetes: A Resting-State fMRI Study. Diabetes Care. 2014;37(6):1689-96. doi: 10.2337/dc13-2127.

10. Cui Y, Jiao Y, Chen YC, Wang K, Gao B, Wen S, et al. Altered Spontaneous Brain Activity in Type 2 Diabetes: A Resting-State Functional MRI Study. Diabetes.2014;63(2):749-60. doi: 10.2337/db13-0519.

11. Cui Y, Jiao Y, Chen HJ, Ding J, Luo B, Peng CY, et al. Aberrant functional connectivity of default-mode network in type 2 diabetes patients. European Radiology. 2015;25(11):3238-46. doi: 10.1007/s00330-015-3746-8.

12. Li PC, Jiao Y, Ding J, Chen YC, Cui Y, Qian C, et al. Cystamine Improves Functional Recovery via Axon Remodeling and Neuroprotection after Stroke in Mice. Cns Neuroscience & Therapeutics. 2015;21(3):231-40. doi: 10.1111/cns.12343.

13. Li B, Jiao Y（共同一作）, Fu C, Xie B, Ma GS, Teng GJ, et al. Contralateralartery enlargement predicts carotid plaque progression based on machine learning algorithm models in apoE(-/-) mice. Biomedical Engineering Online. 2016;15. doi:10.1186/s12938-016-0265-z.

14. Peng CY, Chen YC, Cui Y, Zhao DL, Jiao Y, Tang TY, et al. Regional Coherence Alterations Revealed by Resting-State fMRI in Post-Stroke Patients with Cognitive Dysfunction. Plos One. 2016;11(7). doi: 10.1371/journal.pone.0159574.

15. Qian C, Li PC, Jiao Y, Yao HH, Chen YC,Yang J, et al. Precise Characterization of the Penumbra Revealed by MRI: A Modified Photothrombotic Stroke Model Study. Plos One. 2016;11(4). doi: 10.1371/journal.pone.0153756.

16. Zhang X, Wu F, Jiao Y, Tang T, Yang L, Lu C, Zhang Y, Zhang Y, Bai Y, Chao J, Teng G, Yao H. An Increase of Sigma-1 Receptor in the Penumbra Neuron after Acute Ischemic Stroke. J Stroke Cerebrovasc Dis. 2017 Sep;26(9):1981-1987. doi: 10.1016/j.jstrokecerebrovasdis.2017.06.013.

17. Wang XH, Jiao Y, Li L,  Predicting clinical symptoms of attention deficit hyperactivity disorder based on temporal patterns between and within intrinsic connectivity networks. Neuroscience. 2017 Oct 24;362:60-69. doi: 10.1016/j.neuroscience.2017.08.038.

18. Jiao Y, Wang XH, Chen R, Tang TY, Zhu XQ, Teng GJ, Predictive models of minimal hepatic encephalopathy for cirrhotic patients based on large-scale brain intrinsic connectivity networks. Sci Rep. 2017 Sep 14;7(1):11512. doi: 10.1038/s41598-017-11196-y.

19. Tang TY, Jiao Y（共同一作）, Cui Y, Zeng CH, et al. Development and validation of a penumbra-based predictive model for thrombolysis outcome in acute ischemic stroke patients. EBioMedicine. 2018 Sep;35:251-259. doi: 10.1016/j.ebiom.2018.07.028.

20. Lu CQ, Jiao Y （共同一作）, Meng XP, Cai Y, et al. Structural change of thalamus in cirrhotic patients with or without minimal hepatic encephalopathy and the relationship between thalamus volume and clinical indexes related to cirrhosis. Neuroimage Clin. 2018;20:800-807. doi: 10.1016/j.nicl.2018.09.015.

21. Wang XH, Jiao Y, Li L. Identifying individuals with attention deficit hyperactivity disorder based on temporal variability of dynamic functional connectivity. Sci Rep. 2018 Aug 7;8(1):11789. doi: 10.1038/s41598-018-30308-w.

22. Wang XH, Jiao Y, Li L. Mapping individual voxel-wise morphological connectivity using wavelet transform of voxel-based morphology. PLoS One. 2018 Jul 24;13(7):e0201243. doi: 10.1371/journal.pone.0201243.

23. Wang XH, Jiao Y, Li L. Diagnostic model for attention-deficit hyperactivity disorder based on interregional morphological connectivity. Neurosci Lett. 2018 Oct 15;685:30-34. doi: 10.1016/j.neulet.2018.07.029

24. Luan Y, Wang C, Jiao Y, Tang T, Zhang J, Lu C, Salvi R, Teng GJ. Abnormal functional connectivity and degree centrality in anterior cingulate cortex in patients with long-term sensorineural hearing loss. Brain Imaging Behav. 2018 Dec 3. doi: 10.1007/s11682-018-0004-0.

25. Xu XM, Jiao Y, Tang TY, Lu CQ, Zhang J, Salvi R, Teng GJ. Altered Spatial and Temporal Brain Connectivity in the Salience Network of Sensorineural Hearing Loss and Tinnitus. Front Neurosci. 2019 Mar 19;13:246. doi: 10.3389/fnins.2019.00246.

26. Xu XM, Jiao Y, Tang TY, Zhang J, Salvi R, Teng GJ. Inefficient Involvement of Insula in Sensorineural Hearing Loss. Front Neurosci. 2019 Feb 20;13:133. doi: 10.3389/fnins.2019.00133.

27. Luan Y, Wang C, Jiao Y, Tang T, Zhang J, Teng GJ. Prefrontal-Temporal Pathway Mediates the Cross-Modal and Cognitive Reorganization in Sensorineural Hearing Loss With or Without Tinnitus: A Multimodal MRI Study. Front Neurosci. 2019 Mar 12;13:222. doi: 10.3389/fnins.2019.00222

28. Luan Y, Wang C, Jiao Y, Tang T, Zhang J, Teng GJ. Dysconnectivity of Multiple Resting-State Networks Associated With Higher-Order Functions in Sensorineural Hearing Loss. Front Neurosci. 2019 Feb 5;13:55. doi: 10.3389/fnins.2019.00055.

29.  Xu XM, Jiao Y, Tang TY, Zhang J, Lu CQ, Salvi R, Teng GJ. Sensorineural hearing loss and cognitive impairments: Contributions of thalamus using multiparametric MRI. J Magn Reson Imaging. 2019 Jan 29. doi: 10.1002/jmri.26665.

EI:

1. Jiao Y, Wang X, Tang T, Zhu X, Teng G. Discrimination forminimal hepatic encephalopathy based on Bayesian modeling of default modenetwork. Journal of Southeast University (English Edition). 2015;31(4):582-7. doi: 10.3969/j.issn.1003-7985.2015.04.026.

2. Jiao Y, Teng G-J, Wang X. Predictive model for minimalhepatic encephalopathy based on cerebral functional connectivity. 2013 6th International Conference on Biomedical Engineering and Informatics, BMEI 2013, December 16, 2013 - December 18,2013; 2013; Hangzhou, China: IEEE Computer Society.

核心：

1. 焦蕴, 汤天宇, 王训恒, 朱西琪, 滕皋军. 轻微型肝性脑病患者前后默认网络改变与神经认知损伤的关系. 中华医学杂志. 2016;96(5):334-8.DOI: 10.3760/cma.j.issn.0376-2491.2016.05.004

主持项目：

课程教学：

1、《成像原理》，本科生专业必修课

2、《医学影像图像处理》，本科生专业选修课

3、《医学信息学》，本科生选修课

4、《分子影像与功能影像》，研究生专业必修课

5、《人工智能与影像组学》，本科生专业必修课

社会兼职：

1、2017-今：中华医学会放射学分会磁共振物理和工程学组委员

2、2018-今：中国电子学会生物医学电子学分会委员

3、2019-今：中国医学装备协会人工智能学组委员