Junbong Jang

Computer Vision Engineer

I am the robot software engineer at Livsmed.
I plan to empower the surgical robot with an intelligent perception using artificial intelligence.
Before joining Livsmed, I worked as an artificial intelligence engineer at Cocone.
I developed the designer assistment system that generates avatar items using Diffusion models and created recommendation API for Pokecolo app using NLP.
Before joining Cocone, I researched 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 researched predicting suicide attempts among women for my thesis project, supervised by Dr. Dmitry Korkin

My research interests are Computer Vision in 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

Experiences

experience_timeline_2024

Projects

medical label tool 2025

Medical Label Tool website for cropping ultrasound videos to exclude patient information
Junbong Jang

Label Tool Website / Tutorial Video

Gallblader 2024

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

2023 project

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

NeurIPS 2023

Paper / Code

CVPR 2023 project

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

project FNA

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

project MQP 2022

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

marsnet

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

Copyright © Junbong Jang