个人简历

戚世乐，南京航空航天大学计算机科学与技术学院，研究员。2018年1月博士毕业于中国科学院自动化研究所，模式识别国家重点实验室，脑网络组研究中心；2018年3月—2021年4月先后在美国知名神经影像研究所The Mind Research Network (MRN)和The Center for Translational Research in Neuroimaging and Data Science (TReNDS)任职博士后。主要研究方向：机器学习、多模态脑影像分析、影像-基因关联分析、脑疾病生物标志检测、个体化预测等。已发表学术论文30余篇，包括以第一/共一发表在Brain、Biological Psychiatry、IEEE TMI、Nature Communications等顶级国际期刊。多次获得脑科学领域权威国际会议口头报告，包括国际脑图谱大会OHBM口头报告5次（2017/2019/2020（2个）/2022，top 3%），国际生物医学影像会议IEEE ISBI 2021口头报告。研究成果获得国际脑图谱大会OHBM最佳论文奖3次(2017/2020/2021，top1%)，获得中科院优秀毕业生、北京市优秀毕业生，中国图象图形学会优博提名奖。
专利
[1] 戚世乐.有监督的多模态脑影像融合方法：201610296942.8[p].

研究领域

[1] 机器学习
[2] 多模态脑影像分析
[3] 影像-基因分析
[4] 脑疾病生物标志检测
[5] 个体化预测"机器学习，多模态脑影像分析，影像-基因分析，脑疾病生物标记检测，个体化预测"

近期论文

Shile Qi*, et al., Christopher C Abbott*. Electroconvulsive Therapy Responsive and Cognitive Impairment Multimodal Brain Networks in Depression. 28th Annual Meeting of the Organization for Human Brain Mapping, 2022, Virtual. (国际脑图谱大会, Oral，top 3%).
Shile Qi*, et al., Vince D. Calhoun*. Three‐way parallel group independent component analysis: Fusion of spatial and spatiotemporal magnetic resonance imaging data. Human Brain Mapping, 2022, 43(4): 1280–1294. (中科院二区, IF: 5.038).
Shile Qi, et al., Vince D. Calhoun* and Jing Sui*. Reward processing in novelty seekers: a transdiagnostic psychiatric imaging biomarker. Biological Psychiatry, 2021, 90(8): 529-539. (中科院一区, IF: 13.382, 精神疾病学顶级期刊).
Shile Qi*, et al., Jing Sui*, Vince D. Calhoun*. 3-way parallel fusion of spatial (sMRI/dMRI) and spatio-temporal (fMRI) data with application to schizophrenia. IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021, Virtual. (国际生物医学影像大会, Oral).
Shile Qi, et al., Vince D. Calhoun* and Jing Sui*. Reward processing in novelty seekers: a transdiagnostic psychiatric imaging biomarker. 27th Annual Meeting of the Organization for Human Brain Mapping, 2021, Virtual. (国际脑图谱大会, 最佳论文奖, top 1%).
Kaicheng Li#, Zening Fu#, Shile Qi# (共同一作), et al., Minming Zhang*, Vince D. Calhoun*. Polygenic hazard score associated multimodal brain networks along Alzheimer's disease continuum. Frontiers in Aging Neuroscience, 2021, 13:725246. (中科院二区, IF: 5.75).
Shile Qi, et al., Vince D. Calhoun*, Jing Sui*. Common and unique multimodal covarying patterns in Autism Spectrum Disorder subtypes. Molecular Autism, 2020, 11 (1). (中科院二区, IF: 7.509).
Shile Qi, et al., Vince D. Calhoun*, Jing Sui*. The relevance of transdiagnostic shared networks to the severity of symptoms and cognitive deficits in schizophrenia: a multimodal brain imaging fusion study. Translational Psychiatry, 2020, 10 (1). (中科院二区, IF: 6.222).
Shile Qi, Christopher C Abbott*, et al., Jing Sui*, Vince D. Calhoun. Electroconvulsive therapy treatment responsive multimodal brain networks. Human Brain Mapping, 2020, 41 (7). (中科院二区, IF: 5.038).
Shile Qi, et al., Jing Sui*, Vince D. Calhoun*. The relevance of transdiagnostic shared networks to the severity of symptoms and cognitive deficits in schizophrenia: a multimodal brain imaging fusion study. 26th Annual Meeting of the Organization for Human Brain Mapping, 2020, Virtual. (国际脑图谱大会, 最佳论文奖&Oral, top 1%).
Shile Qi, et al., Jing Sui*. Electroconvulsive therapy treatment responsive multimodal brain networks. 26th Annual Meeting of the Organization for Human Brain Mapping, 2020, Virtual. (国际脑图谱大会, Oral, top 3%).
Shile Qi, Jing Sui*, et al., Vince D. Calhoun*. Parallel Group ICA + ICA: Joint Estimation of Linked Functional Network Variability and Structural Covariation with Application to Schizophrenia. Human Brain Mapping, 2019, 40 (13). (中科院二区, IF: 5.038).
Jing Sui#*, Shile Qi# (共同一作), et al., Vince Calhoun*. Multimodal neuromarkers in schizophrenia via cognition-guided MRI data fusion. 25th Annual Meeting of the Organization for Human Brain Mapping, 2019, Rome (国际脑图谱大会, Oral, top 3%).
Jing Sui#, Shile Qi# (共同一作), et al., Vince Calhoun*. Multimodal neuromarkers in schizophrenia via cognition-guided MRI data fusion. Nature Communications, 2018, 9 (1). (中科院一区, IF: 14.919, 综合性顶级期刊).
Shile Qi, Xiao Yang, et al., Jing Sui*, Xiaohong Ma*. MicroRNA132 Associated Multimodal Neuroimaging Patterns in Unmedicated Major Depressive Disorder. Brain, 2018, 141 (3). (中科院一区, IF: 13.501, 神经科学顶级期刊).
Shile Qi, Vince D. Calhoun, et al., Jing Sui*. Multimodal Fusion with Reference: Searching for Joint Neuromarkers of Working Memory Deficits in Schizophrenia. IEEE Transactions on Medical Imaging, 2018, 37(1). (中科院一区, IF: 10.048, 医学影像方法学顶级期刊).
Shile Qi, et al., Jing Sui*, Xiaohong Ma*. MicroRNA132 Associated Multimodal Neuroimaging Patterns in Unmedicated Major Depressive Disorder. 23th Annual Meeting of the Organization for Human Brain Mapping, 2017, Vancouver. (国际脑图谱大会, 最佳论文奖&Oral, top 1%).
Shile Qi, Vince D. Calhoun, et al., Jing Sui*. Supervised Multimodal Fusion and Its Application in Searching Joint Neuromarkers of Working Memory Deficits in Schizophrenia. 38 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016, Orlando (EMBC, 国际医学与生物学工程大会).
隋婧，戚世乐。有监督的多模态脑影像融合方法，专利号: ZL201610296942.8
[1] 戚世乐.MicroRNA132 Associated Multimodal Neuroimaging Patterns in Unmedicated Major Depressive Disorder[J].Brain,2018
[2] 戚世乐.Reward processing in novelty seekers: a transdiagnostic psychiatric imaging biomarker[J].Biological Psychiatry,2021
[3] 戚世乐.Multimodal Fusion with Reference: Searching for Joint Neuromarkers of Working Memory Deficits in Schizophrenia[J].IEEE Transactions on Medical Imaging,2018
[4] 戚世乐.Multimodal neuromarkers in schizophrenia via cognition-guided MRI data fusion[J].Nature Communications,2018
[5] 戚世乐.Common and unique multimodal covarying patterns in Autism Spectrum Disorder subtypes[J].Molecular Autism,2020
担任IEEE TMI, Schizophrenia Bulletin, Neuropsychopharmacology, EBioMedicine, Psychological Medicine, Human Brain Mapping, Schizophrenia Research等国际期刊审稿人