Yonsei University
Ph.D. in Computer Science
Advisor: Prof. Seong Jae Hwang
Mar 2023 — Present
Kyobin Choo 추교빈
I am a Ph.D. student in Computer Science at Yonsei University, advised by Prof. Seong Jae Hwang in the Medical Imaging & Computer Vision Lab.
My research explores how generative models can offer precise control over visual content and connect heterogeneous medical images. I work on training-free video motion control, Schrödinger bridges, diffusion-like models, and medical image translation and registration.
News
I will join the LEMoN Lab (Harvard Medical School) as a Visiting Student Researcher in March 2027!
Two papers of ours were accepted to ECCV 2026!
Honored to receive the AI Seoul Tech. Scholarship from the Seoul Scholarship Foundation!
I performed as the keyboardist in a band at the MICCAI 2025 Gala Dinner! 🎹 [ATN News]
Two papers of ours were accepted to MICCAI 2025!
Our paper on automated brain PET quantification using CT-to-MR translation was accepted to EJNMMI!
Our paper on MRI-free brain amyloid PET quantification was accepted to Clinical Nuclear Medicine!
Our paper Disentangling Disentangled Representations was accepted to WACV 2025!
Our paper 3D Volumetric CT-to-MRI with 2D BBDM was accepted to MICCAI 2024 as an early accept!
Education
Yonsei University
B.S. in Computer Science
Mar 2017 — Feb 2023
Selected publications
Computer Vision & Machine Learning
* Equal contribution.
ECCV 2026
QWERTY: Training-Free Motion Control via Query-Warped Video Diffusion Transformers
Query warping · Training-free motion control · Video diffusion transformers
ECCV 2026
Controlling Motion Transfer in Diffusion Transformers via Attention Heads
Attention-head specialization · Motion transfer · Structural guidance
MICCAI 2025
Mono-Modalizing Extremely Heterogeneous Multi-Modal Medical Image Registration
Cross-modal registration · Modality translation · Deformable alignment
WACV 2025
Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models
Disentangled representations · Dynamic Gaussian anchoring · Skip dropout
Pattern Recognition 2025IF 9.1
Complementary Branch Fusing Class and Semantic Knowledge for Robust Weakly Supervised Semantic Segmentation
Class-aware CNN · Semantic-aware ViT · Weakly supervised segmentation
MICCAI 2024Early accept
Slice-Consistent 3D Volumetric Brain CT-to-MRI Translation with 2D Brownian Bridge Diffusion Model
CT-to-MRI translation · Brownian bridges · Slice-consistent 3D generation
Clinical & Medical Imaging Journals
* Equal contribution.
Clinical Nuclear Medicine 2025IF 9.6
Deep Learning–Based Precontrast CT Parcellation for MRI-Free Brain Amyloid PET Quantification
Precontrast CT parcellation · MRI-free amyloid quantification · Brain PET/CT
European Journal of Nuclear Medicine and Molecular Imaging 2025IF 7.6
Automated Quantification of Brain PET in PET/CT Using Deep Learning-based CT-to-MR Translation: A Feasibility Study
CT-to-MR synthesis · Regional brain segmentation · Automated PET quantification
Clinical Nuclear Medicine 2025IF 9.6
GAN-based Denoising for Scan Time Reduction and Motion Correction of 18F FP-CIT PET/CT: A Multicenter External Validation Study
PET denoising · Scan-time reduction · Motion correction · Multicenter validation
Alzheimer’s Research & Therapy 2025IF 8.9
Centiloid Values from Deep Learning-based CT Parcellation: A Valid Alternative to FreeSurfer
CT-based brain parcellation · Centiloid quantification · MRI-free amyloid PET
Industry experience
Newcure M Inc.
AI/SW R&D Team Leader (CTO)
Led development of brain PET analysis and CT-based neurological imaging solutions, low-dose PET reconstruction, and PSMA tumor detection. Worked on Korean medical-device regulatory approvals.
Jun 2022 — Jan 2025
Samsung Electronics
Intern · System LSI Division
CPU scheduler optimization for application processors.
Aug 2021 — Dec 2021
Patents
- 2025
Method, Apparatus and Computer Program for 3D Volume Data Conversion Using Multi-Slice Learned 2D Diffusion Models
Kyobin Choo, Youngjun Jun · KR 10-2905764 · Granted · PCT application in progress
- 2025
Method, Apparatus and Computer Program for Medical Image Conversion Using Style-Conditioned Diffusion Models
Kyobin Choo, Youngjun Jun · KR 10-2881752 · Granted · PCT application in progress
- 2024
Method and System for Generating MRI Images Based on CT Images
Kyobin Choo · KR 10-2695718 · Granted
- 2024
Method and System for Brain Structure Segmentation for Parkinson’s Disease Diagnosis
Kyobin Choo, Jihye Lee · KR 10-2644342 · Granted
- 2024
Method and System for Quantitative Analysis of Brain Imaging Based on CT Images
Kyobin Choo · KR 10-2627874 · Granted · PCT application in progress
- 2024
Method and System for Providing Information for Diagnosing Parkinson’s Disease Based on Machine Learning Model
Kyobin Choo · KR 10-2644343 · Granted
- 2024
Method and System for Generating MRI Images Based on CT Images
Kyobin Choo · KR 10-2631389 · Granted
- 2023
Method and System for Generating High-quality Medical Image
Kyobin Choo · KR 10-2593628 · Granted
- 2023
Method and System for Quantitative Analysis of Brain Imaging for Amyloid Measurement
Mijin Yun, Kyobin Choo · KR 10-2023-0084727 · Application