Generative models and model interpretability/modularization for medical and computer vision. Current Interests: Diffusion Model, Domain Generalization, Large Vision-language Models
Research Intern, Hyundai Motor Group (Robotics Vision Team)
Feb, 2023 - Sep, 20237 months
Developed a counterfactual image generation technique for visualizing errors and augmenting data in long-tailed instance segmentation (see Final Presentation in Korean - Overleaf)
Developed a counterfactual image generation technique for visualizing errors and augmenting data in long-tailed instance segmentation
Research Intern, Kakao Enterprise (AI Laboratory)
Mar, 2021 - Sep, 20216 months
Developed a diffusion model conditioned on transformer temporal embeddings for longitudinal medical image synthesis. Example: Brain MRI inter-/extra-polation w.r.t. age (partial work for [16])
Developed a diffusion model conditioned on transformer temporal embeddings for longitudinal medical image synthesis.
Research Intern, Kakao Corp. (Computer Vision Team)
Jun, 2018 - Aug, 20182 months
Developed a plug-and-play image generator using off-the-shelf classifiers. Utilized mutual information estimation to factorize an entangled feature into factor of variations (produced [6])
Developed a plug-and-play image generator using off-the-shelf classifiers.
Utilized mutual information estimation to factorize an entangled feature into factor of variations
Co-founder, CTO, Backend Developer, Startup Company
Mar, 2013 - May, 20141 year 2 months
Developed the backend for a mobile dating service (Java+Netty) (currently out of business...!)
Developed the backend for a mobile dating service (Java+Netty)
Ischemic Stroke Lesion Segmentation Challenge 2016
Jan, 2016 - Jan, 20161 day
9th place
9th place in Ischemic Stroke Lesion Segmentation Challenge 2016 (Official Leaderboard, [21])
Brain Tumor Image Segmentation Challenge 2016
Jan, 2016 - Jan, 20161 day
10th place
10th place in Brain Tumor Image Segmentation Challenge 2016 ([27], [28], unofficial)
Jan, 2016 - Jan, 20161 day
4th place
4th place in Lung Nodule Analysis 2016 (Official Leaderboard, under the name MILAB, [15])
Carrot Insurance PhoneCare LCD Insurance
- Present
LCD CRACK Detection
Developed smartphone LCD crack detector (News)
- Present
FIBROSIS DIAGNOSIS
Fully automated liver, spleen segmentation and liver fibrosis diagnosis system (News, [14])
Python
Tensorflow
PyTorch
Java (Rusty)
C# (Rusty)
C++ (Rusty)
AWS
GCP
SLURM
PBS
GPU Clusters Management
Few-shot
1D (signal)
2D
3D (2D+time, 2D+depth)
4D (3D+time)
Brain and Cognitive Engineering (College of Informatics), Ph.D. candidate, Korea University
Sep, 2018 - Aug, 2025
4.18/4.5 (96.3 / 100)Coursework and Quals Completed
Electrical and Computer Engineering, Visiting Research Student, University of British Columbia
Aug, 2022 - Aug, 2023
Computer Science and Engineering (College of Informatics), B.S., Korea University
Mar, 2012 - Aug, 2018
Talent Award of Korea , Deputy Prime Minister of the Republic of Korea
Awarded on: Dec 01, 2024
International Research Grant ($39,000) , Korea University
Awarded on: Aug 12, 2022
Qualcomm Innovation Fellowship Korea (Finalist) , Qualcomm Korea
Awarded on: May 01, 2022
Naver Ph.D. Fellowship , Naver Corp.
Awarded on: Dec 01, 2021
Research Scholarship , Korea University
Awarded on: Oct 01, 2021
Junior Fellow Research Grant , Korea University
Awarded on: Invalid date
Fundamental Scientist Scholarship ($22,000) , JW Foundation
Awarded on: Jan 01, 2021
Student Travel Award , Medical Image Computing and Computer Assisted Intervention Conference (MICCAI)
Awarded on: Sep 01, 2017
Best Paper Award , Korean Institute of Information Scientists and Engineers (KIISE) Korea Computer Congress (KCC)
Awarded on: Jun 01, 2017
Best Undergraduate Student Paper Award , Korean Institute of Information Scientists and Engineers (KIISE) Winter Conference
Awarded on: Dec 01, 2016
ExpertDiff: Head-less Model Reprogramming with Diffusion Classifiers for Out-of-Distribution Generalization, Work in Process
Published on: null
A Plug-in Method for Representation Factorization in Connectionist Models , IEEE Transactions on Neural Networks and Learning Systems
Published on: Jan 01, 2021
IF 10.451, cited by 5
Learn-Explain-Reinforce: Counterfactual Reasoning and Its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model , IEEE Transactions on Pattern Analysis and Machine Intelligence
Published on: Jan 01, 2022
IF 16.389, cited by 387
SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation , IPMI
Published on: Jan 01, 2023
cited by 41
Domain Generalization for Medical Image Analysis: A Review , Proceedings of the IEEE
Published on: Jan 01, 2024
IF 23.2, cited by 16
Domain Generalization for Medical Image Analysis: A Review , Proceedings of the IEEE
Published on: Jan 01, 2024
IF 23.2
Estimating Explainable Alzheimer's Disease Likelihood Map via Clinically-guided Prototype Learning , NeuroImage
Published on: Jan 01, 2023
IF 7.4
The Effect of Hepatic Steatosis on Liver Volume Determined by Proton Density Fat Fraction and Deep Learning-Measured Liver Volume , European Radiology
Published on: Jan 01, 2023
IF 7.034
Prediction of Decompensation and Death in Advanced Chronic Liver Disease Using Deep Learning Analysis of Gadoxetic Acid-Enhanced MRI , Korean Journal of Radiology
Published on: Jan 01, 2022
IF 3.179
Learn-Explain-Reinforce: Counterfactual Reasoning and Its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model , IEEE Transactions on Pattern Analysis and Machine Intelligence
Published on: Jan 01, 2022
IF 16.389
A Plug-in Method for Representation Factorization in Connectionist Models , IEEE Transactions on Neural Networks and Learning Systems
Published on: Jan 01, 2022
IF 10.451
Deep Learning-Based Assessment of Functional Liver Capacity Using Gadoxetic Acid-Enhanced Hepatobiliary Phase Magnetic Resonance Imaging , Korean Journal of Radiology
Published on: Jan 01, 2022
IF 3.179
Semi-Supervised Generative and Discriminative Adversarial Learning for Motor Imagery-based Brain-Computer Interface , Scientific Reports
Published on: Jan 01, 2022
IF 4.380
Published on: Jan 01, 2022
IF 3.706
Mutual Information-driven Subject-invariant and Class-relevant Deep Representation Learning in BCI , IEEE Transactions on Neural Networks and Learning Systems
Published on: Jan 01, 2021
IF 10.451
Published on: Jan 01, 2021
IF 11.105
Liver-to-Spleen Volume Ratio Automatically Measured on CT Predicts Decompensation in Patients with B Viral Compensated Cirrhosis , Korean Journal of Radiology
Published on: Jan 01, 2021
IF 3.179
An index based on deep learning-measured spleen volume on CT for the assessment of high-risk varix in B-viral compensated cirrhosis , European Radiology
Published on: Jan 01, 2020
IF 5.315
Deep Learning Algorithm for Automated Segmentation and Volume Measurement of the Liver and Spleen Using Portal Venous Phase Computed Tomography Images , Korean Journal of Radiology
Published on: Jan 01, 2020
IF 3.179
Multi-scale Gradual Integration Convolutional Neural Network for False Positive Reduction in Pulmonary Nodule Detection , Neural Networks
Published on: Jan 01, 2019
IF 8.050
SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation , IPMI
Published on: Jan 01, 2023
Clinically-guided Prototype Learning and Its Use for Explanation in Alzheimer's Disease Identification , Medical Imaging meets NeurIPS
Published on: Jan 01, 2022
A Plug-in Factorizer for Disentangling a Latent Representation , ICCV Workshop on Interpreting and Explaining Visual Artificial Intelligence Models
Published on: Jan 01, 2019
Poster Spotlight
Towards Reducing Calibration in BCI: Artificial EEGs Generation by Deep Learning , International Brain-Computer Interface Meeting
Published on: Jan 01, 2018
Student Award, Poster
Deep Recurrent Spatio-Temporal Neural Network for Motor Imagery based BCI , IEEE International Winter Conference on Brain-Computer Interface
Published on: Jan 01, 2018
Gated Two-Stage Convolutional Neural Network for Ischemic Stroke Lesion Segmentation , MICCAI Workshop on Ischemic Stroke Lesion Segmentation Challenge (ISLES)
Published on: Jan 01, 2017
Student Travel Award
ExpertDiff: Head-less Model Reprogramming with Diffusion Classifiers for Out-of-Distribution Generalization, Work in Progress
Published on: null
Published on: Jan 01, 2022
Born Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifier's Decision , arXiv
Published on: Jan 01, 2020
Chapter 1 - An introduction to neural networks and deep learning , Deep Learning for Medical Image Analysis (Second Edition)
Published on: Jan 01, 2024
Topological-aware Prototype Learning for Estimating Explainable Alzheimer's Disease Likelihood Map , KIISE Winter Conference
Published on: Jan 01, 2023
Auto-context Bagging for Brain Tumor Automatic Segmentation , KIISE Korea Computer Congress (KCC)
Published on: Jan 01, 2017
Best Paper Award, oral
Deep Learning-based Brain Tumor Segmentation from Multi-modal MRI , KIISE Winter Conference
Published on: Jan 01, 2016
Best Paper Award, poster
AI-based Computer Vision Uses in Kakao Corp. , Communications of the Korean Institute of Information Scientists and Engineers
Published on: Feb 01, 2019
Vol. 37, No. 2, pp. 52-55, Feb 2019
Generative Models
Model Interpretability/Modularization
Domain Generalization
Large Vision-language Models
Medical Vision
Computer Vision
