I am the artificial intelligence engineer at Cocone M.
Before joining Cocone M, I worked on contour tracking of live cells at KAIST
supervised by
Dr. Tae-kyun Kim.
Before joining KAIST, I worked as a research assistant for Dr. Kwonmoo Lee at Boston Children's Hospital to develop a deep learning-based segmentation pipeline.
At Worcester Polytechnic Institute, I worked on "Bioinformatics Approach to Diagnose Mental Disorders" for my thesis project, supervised by
Dr. Dmitry Korkin
My research interests are Computer Vision and Generative AI.
FourierHandFlow: Neural 4D Hand Representation Using Fourier Query Flow
Jihyun Lee, Junbong Jang, Donghwan Kim, Minhyuk Sung, Tae-Kyun Kim
NeurIPS 2023
Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses
Junbong Jang, Kwonmoo Lee, Tae-Kyun Kim
Computer Vision and Pattern Recognition (CVPR), 2023
Project Page / Paper / Code
Deep Learning-Based Triage of Acute Gallbladder Pathologies Using Ultrasound Cine Video Clips
Connie Ge*, Junbong Jang*, Patrick Svrcek, Victoria Fleming, Young Hwan Kim
*equal contribution
Korean Society of Ultrasound in Medicine (KSUM), 2023
Unravelling psychiatric heterogeneity and predicting suicide attempts in women with trauma-related dissociation using artificial intelligence
Suhas Srinivasan, Nathaniel G. Harnett, Liang Zhang, M. Kathryn Dahlgren, Junbong Jang, Senbao Lu, Benjamin C Nephew, Cori A Palermo, Xi Pan, Mohamed Y Eltabakh, Blaise B. Frederick, Staci A. Gruber, Milissa L. Kaufman, Jean King, Kerry J. Ressler, Sherry Winternitz, Dmitry Korkin, and Lauren A. M. Lebois.
European Journal of Psychotraumatology, 2022
A deep learning-based segmentation pipeline for profiling cellular morphodynamics using multiple types of live cell microscopy
Junbong Jang, Chuangqi Wang, Xitong Zhang, Hee June Choi, Xiang Pan, Bolun Lin, Yudong Yu, Carly Whittle, Madison Ryan, Yenyu Chen, Kwonmoo Lee
Cell Reports Methods, 2021
Copyright © Junbong Jang
