Scholarworks@UNIST

UNIST Library
Search

이지민
Lee, Jimin

이지민

원자력공학과

  • Radiation & Medical Intelligence Lab.
  • Website
Research Interests
Radiation Medicine;Radiation Physics;Artificial Intelligence in Medicine;AI;Computer Vision;Medical Imaging;방사선의료학;방사선물리;의료인공지능;컴퓨터 비전
Lab Description
Radiation & Medical Intelligence Lab (RAMI Lab) has conducted various research applying artificial intelligence (AI) technology into medical, radiation, and nuclear engineering domain. The research has been mainly focused on computer vision tasks applied to medical images. We aim to develop various AI technologies, which would be practically helpful in clinical practice, such as metal artifact reduction or multi-organ segmentation in computed tomography (CT). Currently, we are conducting collaborative research with Seoul National University, Department of Radiology in Seoul National University Hospital, and Department of Radiation Oncology in Samsung Medical Center.
Research Keywords and Topics• Physics-informed Artificial Intelligence• Classification and Segmentation Technologies for Medical Images• Image-to-Image Translation and Generation Technologies for Medical Images
Researcher ID Research Gate ORCiD Scopus Google Scholar
Previous
Deep learning-based metal artifact reduction in CT for total knee arthroplasty File File

Lee, Jimin , Chae, Hee-Dong , Cho, Hyungjoo , Kim, Jae Min , Hong, Sung Hwan , Choi, Ja-Young , Yoo, Hye Jin , Ye, Sung-Joon

Article Issue Date2025-11 View37
Laplacian filter attention with style transfer GAN for brain tumor MRI imputation File File

Na Yoonho , Kim Kyuri , Cho Hyungjoo , Ye Sung-Joon , Kim Hwiyoung , Ahn Sung Soo , Park Ji Eun , Lee, Jimin

Article Issue Date2025-10 View35
Robustness evaluation against corruptions for Optical Diffraction Tomography-based classifiers File

Cho, Hyungjoo , Lee, Jimin , Ryu, Dongmin , Ki, Juhyeong , Ye, Sung-Joon

Article Issue Date2025-09 View85
Deep learning-based restoration of noise-corrupted and saturated beam profiles for real-time proton beam monitoring and quality assurance File

Jung, Gwang-il , Hwang, Young Seok , Kim, Yu Mi , Lee, Chan Young , Ha, Jun Mok , Oh, Eun Joo , Lee, Jae Hyun , Lee, Jimin

Article Issue Date2025-08 View124
A tumor inpainting framework for MRI using automated masks based on channel-specific conditions across the volume File

Kim, Kyuri , Cho, Hyungjoo , Na, Yoonho , Ye, Sung-Joon , Lee, Jimin , Ahn, Sung Soo , Park, Ji Eun , Kim, Hwiyoung

Article Issue Date2025-07 View103
Deep Learning-Based Metal Artifact Reduction With Masked Mean Squared Error Loss Function in Simulation CT for Radiation Therapy for Head and Neck Cancer File

Ki, Juhyeong , Lee, Wonjin , Kim, Bitbyeol , Kim, Dukju , Jung, Seongmoon , Lee, Jimin

Article Issue Date2025-06 View71
FPL-net: A deep learning framework for solving the nonlinear Fokker-Planck-Landau collision operator for anisotropic temperature relaxation File File

Noh, Hyeongjun , Lee, Jimin , Yoon, Eisung

Article Issue Date2025-02 View126
Generation of Deep Learning Based Virtual Non-contrast CT Using Dual-layer Dual-Energy CT and its Application to Planning CT for Radiotherapy File File

Kim, Jungye , Lee, Jimin , Kim, Bitbyeol , Kim, Sangwook , Jin, Hyeongmin , Jung, Seongmoon

Article Issue Date2024-12 View117
Resolution-dependent MRI-to-CT translation for orthotopic breast cancer models using deep learning File

Tessema, Abel Worku , Ambaye, Dagnachew Tessema , Ryu, Jiwon , Jeong. Jiwoo , Yu, Tosol , Lee, Jimin , Cho, Hyungjoon

Article Issue Date2024-12 View123
Two-stage deep learning framework for occlusal crown depth image generation File

Roh, Junghyun , Kim, Junwhi , Lee, Jimin

Article Issue Date2024-12 View116
CT synthesis with deep learning for MR-only radiotherapy planning: a review File

Roh, Junghyun , Ryu, Dongmin , Lee, Jimin

Article Issue Date2024-11 View145
Dual-encoder architecture for metal artifact reduction for kV-cone-beam CT images in head and neck cancer radiotherapy File File

Ki, Juhyeong , Lee, Jung Mok , Lee, Wonjin , Kim, Jin Ho , Jin, Hyeongmin , Jung, Seongmoon , Lee, Jimin

Article Issue Date2024-11 View99
Extraction and evaluation of features of preterm patent ductus arteriosus in chest X-ray images using deep learning File File

Chang, Phillip , Choi, Hyeon Sung , Lee, Jimin , Kim, Hyun Ho

Article Issue Date2024-11 View114
Machine learning-based evaluation technology of 3D spatial distribution of residual radioactivity in large-scale radioactive structures File File

Lee, Ukjae , Chang, Phillip , Jung, Nam-Suk , Jang, Jonghun , Lee, Jimin , Lee, Hee-Seock

Article Issue Date2024-08 View115
Conversion of single-energy CT to parametric maps of dual-energy CT using convolutional neural network File

Kim, Sangwook , Lee, Jimin , Kim, Jungye , Kim, Bitbyeol , Choi, Chang Heon , Jung, Seongmoon

Article Issue Date2024-06 View118
Deep learning-based label-free hematology analysis framework using optical diffraction tomography File File

Ryu, Dongmin , Bak, Taeyoung , Ahn, Daewoong , Kang, Hayoung , Oh, Sanggeun , Min, Hyun-seok , Lee, Sumin , Lee, Jimin

Article Issue Date2023-08 View241
TS-Net: A Deep Learning Framework for Automated Assessment of Longitudinal Tumor Volume Changes in an Orthotopic Breast Cancer Model using MRI File File

Jun, Yunkyoung , Jin ,Seokha , Myung, Noehyun , Jeong, Jiwoo , Lee, Jimin , Cho, Hyungjoon

Article Issue Date2023-06 View154
Deep Radiomics–based Approach to the Diagnosis of Osteoporosis Using Hip Radiographs File

Kim, Sangwook , Kim, Bo Ram , Chae, Hee-Dong , Lee, Jimin , Ye, Sung-Joon , Kim, Dong Hyun , Hong, Sung Hwan , Choi, Ja-Young , Yoo, Hye Jin

Article Issue Date2022-05 View118
Compton Background Elimination for in Vivo X-Ray Fluorescence Imaging of Gold Nanoparticles Using Convolutional Neural Network File

Jung, Seongmoon , Lee, Jimin , Cho, Hyungjoo , Kim, Taeyun , Ye, Sung-Joon

Article Issue Date2020-11 View102
Deep-Learning-Based Label-Free Segmentation of Cell Nuclei in Time-Lapse Refractive Index Tomograms File

Lee, Jimin , Kim, Hyejin , Cho, Hyungjoo , Jo, Youngju , Song, Yujin , Ahn, Daewoong , Lee, Kangwon , Park, Yongkeun , Ye, Sung-Joon

Article Issue Date2019-06 View103
1 2 >>

RSS 1.0 RSS 2.0

CONTACT US

UNIST | Library

Tel : 052-217-1403 / Email : scholarworks@unist.ac.kr

Copyright (c) 2023 by UNIST LIBRARY. All rights reserved.

ScholarWorks@UNIST was established as an OAK Project for the National Library of Korea.