Junbong Jang

Robot Vision Engineer

I am a Robot Vision Engineer at Livsmed, in South Korea.
I am developing a vision-based system to estimate the 6D pose of surgical instruments and robots using computer vision.
At KAIST, I developed a deep learning model for contour tracking of live cells, supervised by Dr. Tae-kyun Kim.
At Boston Children's Hospital, I worked as a research assistant, supervised by Dr. Kwonmoo Lee, developing a deep learning-based pipeline for live cell segmentation.
At Worcester Polytechnic Institute, I conducted a research on predicting suicide attempts among women for my thesis project, supervised by Dr. Dmitry Korkin

My research interest is in Computer Vision for Healthcare.

Education

M.S. in Artificial Intelligence

Korea Advanced Institute of Science and Technology (KAIST)
Aug 2021 - Aug 2023
B.S. in Computer Science

Worcester Polytechnic Institute (WPI)
Aug 2016 - Dec 2019

Contact

junbongjang@kaist.ac.kr

Projects

Combined Application of Deep Learning and Conventional Computer Vision for Kidney Ultrasound Image Classification in Chronic Kidney Disease: Preliminary Study.
Patrick Svrcek*, Junbong Jang*, Connie Ge, Hajeong Lee, Young Hwan Kim
*equal contribution

Ultrasonography, 2025

Accepted (Not yet published)

Medical Label Tool website for cropping ultrasound videos to anonymize patient data
Junbong Jang

Label Tool Website / Tutorial Video

Exploring Deep Learning Applications using Ultrasound Single View Cines in Acute Gallbladder Pathologies: Preliminary results
Connie Ge*, Junbong Jang*, Patrick Svrcek, Victoria Fleming, Young Hwan Kim
*equal contribution

Academic Radiology, 2024

Paper / KSUM 2023 Oral

FourierHandFlow: Neural 4D Hand Representation Using Fourier Query Flow
Jihyun Lee, Junbong Jang, Donghwan Kim, Minhyuk Sung, Tae-Kyun Kim

NeurIPS 2023

Paper / Code

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

Screening adequacy of unstained thyroid fine needle aspiration samples using a deep learning-based classifier
Junbong Jang, Young Kim, Brian Westgate, Yang Zong, Caleb Hallinan, Ali Akalin, Kwonmoo Lee

Scientific Reports, 2023

Paper / Code

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

Paper

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

Paper / Code

Junbong Jang

Education

M.S. in Artificial Intelligence

B.S. in Computer Science

Contact

junbongjang@kaist.ac.kr

Projects

Talks