Publications

Neuroscience, Machine Learning, Development

"Awe is characterized as an ambivalent experience in the human behavior and cortex: integrated virtual reality-electroencephalogram study", Jinwoo Yi, Danny DY Han, Seung Yeop Oh, Jiook Cha, BioRxiv [paper]

QML

Over the Quantum Rainbow: Explaining Hybrid Quantum Reinforcement Learning. Park, J., Cha, J., Chen, S. Y. C., Yoo, S., & Tseng, H. H. (2024, September), IEEE International Conference on Quantum Computing and Engineering (QCE). [paper]

QML

Watkins, W., Wang, H., Bae, S., Tseng, H. H., Cha, J., Chen, S. Y. C., & Yoo, S. (2024, April). Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy Preserving Quantum Machine Learning. 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). [paper]

Neuroscience, Machine Learning  

"Predicting task-related brain activity from resting-state brain dynamics with fMRI Transformer", Junbeom Kwon, Jungwoo Seo, Heehwan Wang, Taesup Moon, Shinjae Yoo, Jiook Cha, Imaging Neuroscience [paper]

Neuroscience, Machine Learning  

"Stress vulnerability and resilience in children facing COVID-19-related discrimination: a quasi-experimental study using polygenic, brain, and sociodemographic data", Jinwoo Yi, Eunji Lee, Bo-Gyeom Kim, Gakyung Kim, Yoonjung Yoonie Joo, Jiook Cha, MedRxiv [paper]

Machine Learning  

"White matter diffusion estimates in obsessive-compulsive disorder across 1653 individuals: machine learning findings from the ENIGMA OCD Working Group", Bo-Gyeom Kim*, Gakyung Kim*, ... , Jiook Cha, Molecular Psychiatry (*co-first author)

Machine Learning  

"AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style Transfer", Joonwoo Kwon*, Sooyoung Kim*, Yuewei Lin, Shinjae Yoo, Jiook Cha, AAAI (*co-first author) [paper] [code]

Neuroscience, Genetics, Development

"Early life stress modulates the genetic influence on brain structure and cognitive function in children" Wang, H. H., Moon, S. Y., Kim, H., Kim, G., Ahn, W. Y., Joo, Y. Y., & Cha, J. (2024) Heliyon.

Neuroscience, Machine Learning  "SwiFT: Swin 4D fMRI Transformer", Peter Yongho Kim*, Junbeom Kwon*, Sunghwan Joo, Sangyoon Bae, Donggyu Lee, Yoonho Jung, Shinjae Yoo, Jiook Cha, Taesup Moon, Neurips (*co-first author) [paper] [code]

Gene, Development  "Gene-Environment Pathways to Cognitive Development and Psychotic-Like Experiences in Children", Park, J., Lee, E., Cho, G., Hwang, H., Joo, Y. Y., & Cha, J, eLife. [paper] [code]

Neuroscience, Gene, Machine Learning   "Multivariate patterns between brain network properties, polygenic scores, phenotypes, and environment in preadolescents", Jungwoo Seo, Eunji Lee, Bo-gyeom Kim, Gakyung Kim, Yoonjung Yoonie Joo, Jiook Cha, medRxiv. [paper] [code]

Neuro, Gene "Identifying Gene, the Sexual Brain, and Cognition: Machine-Predicted Brain Sex Score Explains Individual Differences in Cognitive Development and Genetic Influence." Kim K, Joo YY, Ahn G, Wang HH, Moon SY, Kim H, Ahn WY, Cha J*. Human Brain Mapping. 2022. [paper]  

Gene "Association of genome-wide polygenic scores for multiple psychiatric and common traits in preadolescent youths at risk of suicide." Joo YY, Moon SY, Wang HH, Kim H, Lee EJ, Kim JH, Posner J, Ahn WY, Choi I, Kim JW, Cha J*. JAMA network open. 2022. PDF 

Gene "Cognitive Capacity Genome-Wide Polygenic Scores Identify Individuals with Slower Cognitive Decline in Aging." Joo YY, Cha J, Freese J, Hayes MG. Genes 2022. PDF

Neuroscience, Genetics, Machine Learning, Development "Heterogeneity in the Effects of Neighborhood Deprivation on Economic Decision Making and Mental Health in Children" Park, J., Cho, M., Lee, E., Kim, B.G., Kim, G., Joo, Y.Y. and Cha, J., 2023. medRxiv PDF

Neuro, ML "Maturity of gray matter structures and white matter connectomes, and their relationship with psychiatric symptoms in youth." Luna A, Bernanke J, Kim K, Aw N, Dworkin JD, Cha J*, Posner J. Human Brain Mapping. 2021. PDF

Neuro, ML "Identifying prepubertal children with risk for suicide using deep neural network trained on multimodal brain imaging." Ahn, G., Kim, B., Kim, K. K., Kim, H., Lee, E., Ahn, W. Y., ... & Cha, J. In AI for Disease Surveillance and Pandemic Intelligence: Intelligent Disease Detection in Action. 2022 Cham: Springer International Publishing. PDF

Neuro, ML "Alzheimer’s Disease Neuroimaging Initiative. GANBERT: Generative Adversarial Networks with Bidirectional Encoder Representations from Transformers for MRI to PET synthesis."  Shin HC, Ihsani A, Mandava S, Sreenivas ST, Forster C, Cha J, arXiv preprint arXiv:2008.04393. 2020 Aug 10. PDF

Neuro, ML "Alzheimer’s Disease Neuroimaging Initiative. GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-Tuning for Alzheimer’s Disease Diagnosis from MRI." Shin HC, Ihsani A, Xu Z, Mandava S, Sreenivas ST, Forster C, Cha J, InInternational Conference on Medical Image Computing and Computer-Assisted Intervention 2020 Oct 4 (pp. 688-697). Springer, Cham. PDF

Neuro "Altered dentate gyrus microstructure in individuals at high familial risk for depression predicts future symptoms." van Dijk MT, Cha J, Semanek D, Aw N, Gameroff MJ, Abraham E, Wickramaratne PJ, Weissman MM, Posner J, Talati A. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging (2020). PDF 

ML "Machine Learning Prediction of Incidence of Alzheimer’s Disease Using Large-Scale Administrative Health Data." Park JH, Cho HE, Kim JH, Wall M, Stern Y, Lim H, Yoo S, Kim HS, Cha J*. npj Digital Medicine (accepted) PDF

Neuro, Genetics "Differences in brain structure and function in children with the FTO obesity risk allele." Lugo‐Candelas, C., Pang, Y., Lee, S., Cha, J., Hong, S., Ranzenhofer, L., ... & Chung, W. K. (2020). Obesity Science & Practice, 6(4), 409-424. PDF

Neuro, Dev "Concordance in parent and offspring cortico-basal ganglia white matter connectivity varies by parental history of major depressive disorder and early parental care." Abraham, E., Posner, J., Wickramaratne, P. J., Aw, N., van Dijk, M. T., Cha, J., ... & Talati, A. (2020). Social Cognitive and Affective Neuroscience, 15(8), 889-903. PDF

Neuro, ML "Diagnosis and prognosis of Alzheimer's disease using brain morphometry and white matter connectomes", Wang Y, Xu C, Park J-H, Lee S, Stern Y, Yoo S, Kim JH, Kim HS, Cha J*. NeuroImage: Clinical. 2019.

Neuro, ML "Structural neural markers of response to cognitive behavioral therapy in pediatric obsessive compulsive disorder.", Pagliaccio D, Cha J, He X, Cyr M, Yanes‐Lukin P, Goldberg P, Fontaine M, Rynn MA, Marsh R. Journal of Child Psychology and Psychiatry. 2019. PDF

Neuro "Altered white matter microstructural organization in posttraumatic stress disorder across 3047 adults: results from the PGC-ENIGMA PTSD" , Dennis EL, Disner SG, Fani N, Salminen LE, Logue M, Clarke EK, Haswell CC, Averill CL, Baugh LA, Bomyea J, ..., Bruce SE. "consortium." Molecular Psychiatry. 2019. PDF

Neuro, Dev "Associations between brain structure and connectivity in infants and exposure to selective serotonin reuptake inhibitors during pregnancy.", Lugo-Candelas C, Cha J*, Hong S, Bastidas V, Weissman M, Fifer WP, Myers M, Talati A, Bansal R, Peterson BS. JAMA pediatrics. 2018 .

Neuro, Dev "Effects of serotonin transporter gene variation on impulsivity mediated by default mode network: a family study of depression.", Cha J*, Guffanti G, Gingrich J, Talati A, Wickramaratne P, Weissman M, Posner J. Cerebral Cortex. 2018 

Neuro "From anxious to reckless: a control systems approach unifies prefrontal-limbic regulation across the spectrum of threat detection", Mujica-Parodi LR, Cha J, Gao J. Frontiers in systems neuroscience. 2017 

Neuro, Dev "Effects of serotonin transporter gene variation on impulsivity mediated by default mode network: a family study of depression.", Cha J*, Guffanti G, Gingrich J, Talati A, Wickramaratne P, Weissman M, Posner J. Cerebral Cortex. 2018 

Neuro Posner J, Cha J, Wang Z, Talati A, Warner V, Gerber A, Peterson BS, Weissman M. "Increased default mode network connectivity in individuals at high familial risk for depression". Neuropsychopharmacology. 2016

Neuro, Dev Posner J, Cha J, Roy A, Peterson B, Bansal R, Gustafsson H, Raffanello E, Gingrich J, Monk C. "Alterations in amygdala–prefrontal circuits in infants exposed to prenatal maternal depression". Translational psychiatry. 2016 

Neuro Cha J*, Ide JS, Bowman FD, Simpson HB, Posner J, Steinglass JE. "Abnormal reward circuitry in anorexia nervosa: A longitudinal, multimodal MRI study". Human brain mapping. 2016 

Neuro Cha J, Greenberg T, Song I, Blair Simpson H, Posner J, Mujica‐Parodi LR. "Abnormal hippocampal structure and function in clinical anxiety and comorbid depression". Hippocampus. 2016 

Neuro Cha J, DeDora D, Nedic S, Ide J, Greenberg T, Hajcak G, Mujica-Parodi LR. "Clinically anxious individuals show disrupted feedback between inferior frontal gyrus and prefrontal-limbic control circuit". Journal of Neuroscience. 2016