Radiation & Medical Intelligence Lab

Journal Papers (*corresponding)

1. Sangwook Kim, Jimin Lee, Jungye Kim, Bitbyeol Kim, Chang Heon Choi, Seongmoon Jung*, "Conversion of single-energy computed tomography to parametric maps of dual-energy computed tomography using convolutional neural network", The British Journal of Radiology, tqae076, 2024. (cofirst)

2. UkJae Lee, Phillip Chang, Nam-Suk Jung, Jonghun Jang, Jimin Lee, Hee-Seock Lee*, "Machine Learning‐based Evaluation Technology of 3D Spatial Distribution of Residual Radioactivity in Large‐scale Radioactive Structures", Nuclear Engineering and Technology (NET), 2024.

3. Dongmin Ryu, Taeyoung Bak, Daewoong Ahn, Hayoung Kang, Sanggeun Oh, Hyun-seok Min, Sumin Lee*, Jimin Lee*, "Deep learning-based label-free hematology analysis framework using optical diffraction tomography", Heliyon, 9(8), 2023.

4. Yunkyoung Jun, Seokha Jin, Noehyun Myung, Jiwoo Jeong, Jimin Lee*, Hyung Joon Cho*, "TS-Net: A Deep Learning Framework for Automated Assessment of Longitudinal Tumor Volume Changes in an Orthotopic Breast Cancer Model using MRI", IEEE Access, 2023.

5. Sangwook Kim, Bo Ram Kim, Hee-Dong Chae*, Jimin Lee, Sung-Joon Ye, Dong Hyun Kim, Sung Hwan Hong, Ja-Young Choi, Hye Jin Yoo, "Deep-Radiomics-Based Approach to the Diagnosis of Osteoporosis Using Hip Radiographs", Radiology: Artificial Intelligence, 4(4), e210212, 2022. 

6. Seongmoon Jung, Jimin Lee, Hyungjoo Cho, Taeyun Kim, Sung-Joon Ye*, "Compton background elimination for in vivo X-ray fluorescence imaging of gold nanoparticles using convolutional neural network", IEEE Transactions on Nuclear Science 67(11), 2311-2320, 2020. (cofirst)

7. Jimin Lee, Hyejin Kim, Hyungjoo Cho, YoungJu Jo, Yujin Song, Daewoong Ahn, Kangwon Lee, YongKeun Park, Sung-Joon Ye*, "Deep-learning-based label-free segmentation of cell nuclei in time- lapse refractive index tomograms", IEEE Access 7, 83449−83460, 2019.

8. Jaegi Lee, Jimin Lee, Dongmin Ryu, Hochan Lee, Sung-Joon Ye*, "Fano cavity test for electron Monte Carlo transport algorithms in magnetic fields: comparison between EGSnrc, PENELOPE, MCNP6 and Geant4", Physics in Medicine and Biology 63(19), 195013, 2018.

Patents

1. 음성 변환 방법 및 장치, Method and Device for Voice Conversion, Korea, 2023 (10-2023-0187924)

2. 타겟 이미지에 기초하여 얼굴 영역이 보정된 소스 이미지를 제공하는 방법 및 장치, Method and device for providing source image with facial area corrected based on target image, Korea, 2023 (10-2023-0189268)

3. 딥러닝 기반 얼굴 이미지 복원 장치 및 방법, DEVICE AND METHOD FOR DEEP LEARNING BASED FACIAL IMAGE RESTORATION, Korea, 2023 (10-2023-0176894)

4. METHOD FOR CREATING CROWN OCCLUSAL 3D MESH USING DEEP LEARNING AND DEVICE USING THE SAME, PCT, 2023 (PCT/KR2023/016732)

5. METHOD FOR CREATING CROWN SIDE 3D MESH USING DEEP LEARNING AND DEVICE USING THE SAME, PCT, 2023 (PCT/KR2023/016720)

6. 벡터 데이터베이스 기반 연속혈당 데이터 처리 및 헬스케어 서비스 제공 방법, Vector database-based system for processing continuous glucose data and providing health care services, Korea, 2023 (10-2023-0161204)

7. 딥러닝 기반 연속혈당 데이터의 식후혈당 분리 방법 및 시스템, Deep learning-based method for segmenting a continuous glucose data into fasting state and post-meal state and a system thereof, Korea, 2023 (10-2023-0161198)

8. 2개의 얼굴이미지를 이용한 딥러닝 기반 합성얼굴 생성 장치 및 방법, Apparatus for generating a synthesized face image by using two face images based on deep learning and method thereof, Korea, 2023 (10-2023-0029990)

9. 딥러닝 기반 단일종 플라즈마 입자 충돌 모사 장치 및 이의 평가 장치, Deep learning-based single-species plasma particle collision simulation device and its evaluation device, Korea, 2023 (10-2023-0028700)

10. 딥러닝을 이용한 크라운 교합면 3D 메쉬 생성 방법 및 이를 이용하는 장치, METHOD FOR CREATING CROWN OCCLUSAL 3D MESH USING DEEP LEARNING AND DEVICE USING THE SAME, Korea, 2022 (10-2022-0167487)

11. 딥러닝을 이용한 크라운 측면 3D 메쉬 생성 방법 및 이를 이용하는 장치, METHOD FOR CREATING CROWN SIDE 3D MESH USING DEEP LEARNING AND DEVICE USING THE SAME, Korea, 2022 (10-2022-0167486)

12. 결측 자기공명영상 생성 장치 및 방법, APPARATUS AND METHOD FOR GENERATING MISSING MRI, Korea, 2022 (10-2022-0159505)

13. 종양 데이터 생성 장치 및 방법, APPARATUS AND METHOD FOR GENERATING TUMOR DATA, Korea, 2022 (10-2022-0159602)

14. 인공지능 기반 SINUSVIEW 영상에서의 축농증 자동 진단 방법 및 장치, METHOD FOR ESTIMATING SINUSITIS BY LEARNING FACIAL IMAGE BASED ON MACHINE LEARNING AND COMPUTING DEVICE USING THE SAME, Korea, 2022 (10-2022-0096144)

15. SYSTEM AND METHOD FOR SEGMENTING NORMAL ORGAN AND/OR TUMOR STRUCTURE BASED ON ARTIFICIAL INTELLIGENCE FOR RADIATION TREATMENT PLANNING, USA, 2021 (US 2021-0103756 A1)

16. Apparatus and Method for Removing Metal Artifact of Computer Tomography Image Based on Artificial Intelligence, Korea, 2021 (1023429540000)

17. Automatic Multi-Organ and Tumor Contouring System Based on Artificial Intelligence for Radiation Treatment Planning, Korea, 2021 (1023474960000)

International Conferences (O: Oral, P: Poster, *corresponding)

1. [P] Kyuri Kim, Yoonho Na, Sung-Joon Ye, Jimin Lee, Sung Soo Ahn, Ji Eun Park, Hwiyoung Kim*, "Controllable Text-to-Image Synthesis for Multi-Modality MR Images", IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2024, Hawaii, USA, January 4 - 8, 2024.

2. [P] Jung Mok Lee, Wonjin Lee, Juhyeong Ki, Bitbyeol Kim, Seongmoon Jung, Jimin Lee*, "Metal Artifact Reduction for Head and Neck CBCT with Attentional Dual Encoder Fusion UNet", Radiological Society of North America (RSNA), Chicago, USA, November 26 - 30, 2023.

3. [P] Wonjin Lee, Juhyeong Ki, Jung Mok Lee, Bitbyeol Kim, Seongmoon Jung, Jimin Lee*, "CNN-Based Metal Artifact Reduction Method with Mask for Planning CT in Radiation Treatment", Radiological Society of North America (RSNA), Chicago, USA, November 26 - 30, 2023.

4. [P] Junghyun Roh, Yong Bae Kim, Jimin Lee*, "Unpaired MR-CT Translation using Diffusion model and cross-modality structure extractor", Radiological Society of North America (RSNA), Chicago, USA, November 26 - 30, 2023.

5. [P] Dagnachew Ambaye, Ji Woo Jung, Abel Work Tessema, Jimin Lee, Hyungjoon Cho*, "Deep Learning-Based Resolution Dependent MRI-CT Conversion for Orthotopic Breast Cancer Model", 11th International Congress on MRI (ICMRI) 2023, Seoul, Korea, November 3 - 4, 2023.

6. [O] Awais Zahur, Muhammad Rizwan Ali, Jimin Lee, Doekjung Lee*, "Deep Learning Surrogate Model for Fuel Performance Analysis", Reactor Physics Asia Conference (RPHA) 2023, Gyeongju, Korea, October 24 - 26, 2023.

7. [P] Hyungjun Noh, Jimin Lee*, Eisung Yoon*, "Deep Learning-based Acceleration of Multi-species Fokker-Planck-Landau Collision Operator for Fusion Plasma Simulation", 29th IAEA Fusion Energy Conference (FEC 2023), London, UK, October 16 - 20, 2023.

8. [P] Seongmoon Jung, Jungye Kim, Bitbyeol Kim, Jimin Lee*, "Deep Learning Approach to Conversion of Contrast Enhanced Computed Tomography Images to Virtual Non-contrast Images", FARO & KOSRO 2023, Seoul, Korea, Octobor 11 - 13, 2023.

9. [P] Yoonho Na, Kyuri Kim, Sung-Joon Ye, Hwiyoung Kim, Jimin Lee*, "Generation of Multi-modal Brain Tumor MRIs with Disentangled Latent Diffusion Model", Medical Imaging with Deep Learning (MIDL) 2023, Nashville, USA, July 10 - 12, 2023.

10. [P] Yunkyoung Jun, Jiwoo Jeong, Seokha Jin, Noehyun Myung, Jimin Lee, Hyungjoon Cho*, "TS-Net: A Deep Learning Framework for Automated Assessment of Longitudinal Tumor Volume Changes in an Orthotopic Breast Cancer Model using MRI", International Society for Magnetic Resonance in Medicine (ISMRM) annual meeting & exhibition, Toronto, Canada, June 3 - 8, 2023. 

11. [O] Yoonho Na, Kyuri Kim, Sung-Joon Ye, Jimin Lee*, "Generative Adversarial Network for missing brain tumor MRIs", International Forum on Medical Imaging in Asia (IFMIA) 2023, Jeju, Korea, January 10-11, 2023.

12. [O] Kyuri Kim, Yoonho Na, Junghyun Roh, Jimin Lee, Sung-Joon Ye, Hwiyoung Kim*, "Brain Tumor MR Image Inpainting based on Generative Adversarial Networks", International Forum on Medical Imaging in Asia (IFMIA) 2023, Jeju, Korea, January 10-11, 2023.

13. [O] Jungmok Lee, Juhyeong Ki, Wonjin Lee, Bitbyeol Kim, Seongmoon Jung, Jimin Lee*, "Deep Learning-based Metal Artifact Reduction in Cone-Beam CT for Head and Neck Cancer Patients", International Forum on Medical Imaging in Asia (IFMIA) 2023, Jeju, Korea, January 10-11, 2023.

14. [P] Juhyeong Ki, Jungmok Lee, Wonjin Lee, Bitbyeol Kim, Seongmoon Jung, Jimin Lee*, "Metal Artifact Reduction for Planning CT in Radiation Treatment using Convolutional Neural Network", International Forum on Medical Imaging in Asia (IFMIA) 2023, Jeju, Korea, January 10-11, 2023.

15. [O] Jimin Lee, Sangwook Kim, Jungye Kim, Bitbyeol Kim, Seongmoon Jung*, "Deep Learning-based Conversion of Single Energy CT to Parametric Maps of Dual-layer Spectral CT", International Forum on Medical Imaging in Asia (IFMIA) 2023, Jeju, Korea, January 10-11, 2023.

16. [O] Yoonho Na, Kyuri Kim, Hwiyoung Kim, Sung-Joon Ye, Jimin Lee*, "Missing Brain Tumor MRI sequence Imputation with Laplacian filter Attention with Style Transfer Generative Adversarial Network", Radiological Society of North America (RSNA), Chicago, USA, November 27 - December 1, 2022.

17. [O] Kyuri Kim, Yoonho Na, Jimin Lee, Sung-Joon Ye, Hwiyoung Kim*, "Synthesis of brain tumor dataset via free-from mask in normal MRI using Generative Adversarial Networks", Radiological Society of North America (RSNA), Chicago, USA, November 27 - December 1, 2022.

18. [P] Sangwook Kim, Jimin Lee, Jungye Kim, Bitbyeol Kim, Chang Heon Choi, Seongmoon Jung*, "Conversion of single energy computed tomography to parametric map of dual-layer spectral computed tomography using convolutional neural network", 2022 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference (IEEE NSS MIC RTSD), Milano, Italy, November 05 – 12, 2022.

19. [P] Hyungjun Noh, Jimin Lee, Eisung Yoon*, "Simulating Anisotropic Temperature Relaxation by a Neural Net Modeling a Nonlinear Fokker-Planck-Landau Collision Operator", International Fusion and Plasma Conference (iFPC) 2022, Jeju, Korea, August 22 - 26, 2022. 

20. [P] Jimin Lee, Jungmok Lee, Seongmoon Jung*, "Deep Learning-Based Metal Artifact Reduction for Planning CT in Radiation Therapy for Head and Neck Cancer", American Association of Physicists in Medicine (AAPM) 2022 Annual Meeting, Washington DC, USA, July 10 - 14, 2022.

21. [O] Jimin Lee, Dongmin Ryu, Heejung Kim*, "3D Dose Distribution Estimation for Various Treatment Techniques using Deep Learning Framework For Radiation Therapy", Radiological Society of North America (RSNA), Chicago, USA, November 28 - December 2, 2021.

22. [O] Dongmin Ryu, Jimin Lee, Heejung Kim*, "Machine Learning-based Optimal Radiation Treatment Technique Suggestion Using Dosimetric Parameters", Radiological Society of North America (RSNA), Chicago, USA, November 28 - December 2, 2021. (cofirst)

23. [P] Jimin Lee, Sangwook Kim, Bitbyeol Kim, Seongmoon Jung*, "Deep Learning-based Effective Atomic Number Conversion From Single Energy Computed Tomography", Radiological Society of North America (RSNA), Chicago, USA, November 28 - December 2, 2021.

24. [O] Hyoung In Choi, Jimin Lee, Hee-Dong Chae*, Chulkyun Ahn, Hyungjoo Cho, Sung-Joon Ye, Jong Hyo Kim, Sung Hwan Hong, Ja-Young Choi, Hye Jin Yoo, "Deep Learning-based Metal Artifact and Noise Reduction in the Lumbar Spine CT", Radiological Society of North America (RSNA), Chicago, USA, November 28 - December 2, 2021. (cofirst)

25. Deep Learning-based Breast and Organs-at-risk Segmentation in CT with Uncertainty Quantification for Radiation Therapy after Breast-Conserving Surgery, Radiological Society of North America (RSNA), Chicago, USA, 2020.

26. Deep Learning-based CT Metal Artifact Reduction in the Lumbar Spine, Radiological Society of North America (RSNA), Chicago, USA, 2020.

27. Radiomics-based approach for the diagnosis of osteoporosis using hip radiographs, European Congress of Radiology (ECR), 2020.

28. Automatic tumor and multi-organ segmentation technique in CT based on Deep Learning for radiation therapy after breast-conserving surgery, American Association of Physicists in Medicine (AAPM) 2020 Annual Meeting, 2020.

29. Radiomics-based approach for the diagnosis of osteoporosis using hip radiographs, European Society of Radiology, 2020.

30. Deep Learning-based Metal Artifact Reduction in CT for Total Knee Arthroplasty, Radiological Society of North America (RSNA), 2019.

31. Development of a CT metal artifact reduction technique based on Deep Learning, American Association of Physicists in Medicine (AAPM) 2018 Annual Meeting, 2018.

32. Prediction of Multi-Leaf Collimator Positional Error with Multi-Layer Perceptron, 9th Asian Conference on Machine Learning, 2017.

33. Monte Carlo Simulations for Magnetic Field Correction Factors of Plane-Parallel Ionization Chamber, American Association of Physicists in Medicine (AAPM) 2017 Annual Meeting, 2017.

Domestic Conferences (O: Oral, P: Poster, *corresponding)

1. [P] Gwangil Jung,  Eun Joo Oh, Yu Mi Kim, Jun Mok Ha, Young Seok Hwang, Chan Young Lee, Jimin Lee*, "Deep Learning-based Beam Profile Restoration for Real-time Proton Beam Monitoring", Korean Nuclear Society (KNS) 2024 Spring Conference, Jeju, Korea, May 8-10, 2024. 

2. [P] Junghyun Roh, Ho Jin Kim, Yong Bae Kim, Jimin Lee*, "Comparison of MR to CT translation based on Deep Learning", Korean Society of Artificial Intelligence in Medicine (KoSAIM) 2023, Seoul, Korea, October 19 - 21, 2023.

3. [Best Presentation Award] [P] Phillip Chang, Haeun Back, Minjun Kwon, Jiyoon Lim, Jun Woo Seo, Yang Seok Kim, Jimin Lee*, "Transformer based continuous glucose prediction model", Korean Society of Artificial Intelligence in Medicine (KoSAIM) 2023, Seoul, Korea, October 19 - 21, 2023.

4. [O] Kyuri Kim, Yoonho Na, Jimin Lee, Sung-Joon Ye, Sung Soo Ahn, Ji Eun Park, Hwiyoung Kim*, "Modality conditional control of brain tumor MR image synthesis using a latent diffusion model", Korean Congress of Radiology (KCR) 2023, Seoul, Korea, September 20 - 23, 2023.

5. [O] Jiyeon Yim, Minjong Kim , Minwoo Lee , Minsu Kim , Younggyun Yu* , Jimin Lee*, "A Robust Approach for Small Bubble Detection in HANARO Core Using Consecutive Multi-Frames", Korean Nuclear Society (KNS) 2023 Spring Conference, Jeju, Korea, May 17-19, 2023. 

6. [O] Jimin Lee, Sangwook Kim, Jungye Kim, Bitbyeol Kim, Chang Heon Choi, Seongmoon Jung*, "Convolutional Neural Network based Conversion of Single Energy CT to Parametric Maps of Dual-layer Spectral CT", The Korean Society for Radiation Oncology (KOSRO) 2022 Fall Conference, Seoul, Korea, October 13-14, 2022.

7. [O] HyungJun Noh, Jimin Lee*, Eisung Yoon, "Deep Learning-based Fokker-Planck-Landau Collision Operator for Fusion Plasma Simulation: A Preliminary Study", Korean Nuclear Society (KNS) 2022 Spring Conference, Jeju, Korea, May 18-20, 2022. 

8. [Best Presentation Award] [O] Jimin Lee, Sangwook Kim, Jungye Kim, Bitbyeol Kim, Seongmoon Jung*, "Conversion of single energy computed tomography to parametric map of dual energy computed tomography using convolutional neural network", Korean Association of Radiation Protection (KARP) Spring Conference, Yesan, Korea, April 27-29, 2022.  

9. [P] Jimin Lee, Jung Mok Lee, Seongmoon Jung*, "Deep Learning Based Metal Artifact Reduction in CT for Radiation Treatment Planning for Head and Neck Patients", Korean Society of Medical Physics 2022, Jeju, Korea, April 7-9, 2022.

10. [O] Yoonho Na, Kyuri Kim, Junghyun Roh, Hwiyoung Kim, Sung-Joon Ye, Jimin Lee*, "Multimodal brain MRI synthesis using generative models", KoSAIM 2021, Seoul, Korea, October 22-23, 2021.

11. [O] Kyuri Kim, Junghyun Roh, Yoonho Na, Jimin Lee, Sung-Joon Ye, Hwiyoung Kim*, "Generation of Brain MRI with Tumor Local Editing using Generative Models", KoSAIM 2021, Seoul, Korea, October 22-23, 2021.

12. [P] Jungye Kim, Sang Wook Kim, Seongmoon Jung, Bitbyeol Kim, Jimin Lee*, "Deep learning-based generation of electron density and effective atomic number map from single energy computed tomography", BIEN 2021, Daejeon, Korea, August 18-20, 2021.

13. [P] Sang Wook Kim, Jungye Kim, Seongmoon Jung, Bitbyeol Kim, Jimin Lee*, "Deep learning-based synthesis of single-energy CT to virtual monochromatic imaging", BIEN 2021, Daejeon, Korea, August 18-20, 2021.

14. [P] Yoonho Na, Kyuri Kim, Junghyun Roh, Sung-Joon Ye, Jimin Lee*, "Brain MRI synthesis with progressive growing of generative adversarial network: a feasibility study", BIEN 2021, Daejeon, Korea, August 18-20, 2021.

15. [P] Kyuri Kim, Yoonho Na, Junghyun Roh, Sung-Joon Ye, Jimin Lee*, "Generation of Brain MRI with Tumor Local Editing using Generative Models", BIEN 2021, Daejeon, Korea, August 18-20, 2021.

16. [P] Junghyun Roh, Kyuri Kim, Yoonho Na, Jimin Lee*, "Evaluation of Brain MRI Inpainting with Generative Models", BIEN 2021, Daejeon, Korea, August 18-20, 2021.

17. Feasibility Study of X-ray Fluorescence Imaging system: Surface Modification Gold Nanoparticles and 2D Convolutional Neural Network, Korean Nuclear Society Spring Meeting, 2020.

18. Analysis of the Effect of Radiation Doses on UV Transmission of Intraocular Lenses Using a Spectrophotometer, Korean Nuclear Society Spring Meeting, 2017.

19. [ANSTO Experience] Evaluation of filters in RSPCS (Reactor Service Pool Cooling System) and HWL (Hot Water Layer) in OPAL Research reactor at ANSTO (Australian Nuclear Science and Technology Organization), Korean Nuclear Society Spring Meeting, 2016.