최종학력

Ph.D. in Electrical and Computer Engineering, Purdue University

전공분야

Machine Learning

주요 연구

• Machine Learning
• Medical Imaging
• Neurodegenerative Disease

주요 강의

• Deep Learning
• Natural Language Processing
• Big Data Processing
• Computational Thinking
• Electric Circuits

주요 논문/저서

• Jang et al., 2023. Brain structural indicators of β-amyloid neuropathology. Neurobiology of Aging. under review 
• Xu & Jang et al., 2023. Cortical gray to white matter signal intensity ratio as a sign of neurodegeneration and cognition independent of β-amyloid in dementia. Human Brain Mapping. under review 
• Eisenmann et al., 2023, Jun. Why is the winner the best? CVPR. p. 19955-19966. 
• Ryu et al., 2023. Multi-planar 2.5D U-Net for image quality enhancement of dental cone-beam CT. PLoS ONE. 18(5), p. e0285608 
• Jang et al., 2022. Multiscale structural mapping of Alzheimer’s disease neurodegeneration. Neuroimage: Clinical, 33, p. 102948 
• Choi et al. 2022. Reconfigurable heterogeneous integration using stackable chips with embedded artificial intelligence. Nature Electronics, pp.1-8. 
• Patel et al. 2022, Jul. Opportunities and Challenges for Deep Learning in Brain Lesions. International MICCAI Brainlesion Workshop (pp. 25-36). Springer, Cham. 
• Eisenmann et al. 2022. Biomedical image analysis competitions: The state of the current participation practice. arXiv preprint arXiv:2212.08568 
• Jang et al., 2021, Dec. Decreasing Annotation Burden of Pairwise Comparisons with Human-in-the-Loop Sorting: Application in Medical Image Artifact Rating. NeurIPS Data-Centric AI Workshop. Oral. 
• Zou & Jang, 2021, Dec. Engineering AI Tools for Systematic and Scalable Quality Assessment in Magnetic Resonance Imaging. NeurIPS Data-Centric AI Workshop. Oral. 
• Ryu et al., 2021, Oct. K-space refinement in deep learning MR reconstruction via regularizing scan specific SPIRiT-based self consistency. ICCV 2nd Learning for Computational Imaging Workshop. Oral. 
• Li et al., 2021. Identifying individuals at risk for Alzheimer’s disease based on structural imaging in the Human Connectome Project Aging Cohort. Human Brain Mapping. 1-12. 
• Li et al., 2021. Amyloid-Beta Influences Memory via Functional Connectivity During Memory Retrieval in Alzheimer’s Disease. Frontiers in Aging Neuroscience, 13, p.557. 
• Zou et al., 2021. Development of brain atlases for early-to-middle adolescent collision-sport athletes. Scientific reports, 11, 6440. 
• Yao et al., 2021. A novel method of quantifying hemodynamic delays to improve hemodynamic response, and CVR estimates in CO2 challenge fMRI. Journal of Cerebral Blood Flow & Metabolism, p.0271678X20978582.