Publications

Journals

*corresponding author(s)

2025

[ International ]

  1. “Recovered graphene-hydrogel nanocomposites for multi-modal human motion recognition via optimized triboelectrification and machine learning“
    Thien Trung Luu, Hai Anh Thi Le, Yoonsang Ra, Teklebrahan Gebrekrstos Weldemhret, Hwiyoung Kim, Kyungwho Choi, Dongwhi Choi*, Dukhyun Choi*, Yong Tae Park*, Composites Part B: Engineering(2025, IF=12.7, in press)

2024

[ International ]

  1. “Predicting Post-Neoadjuvant Chemoradiotherapy PD-L1 expression with Multivariate Radiomics in Esophageal Squamous Cell Carcinoma“
    Hyun Do Jung, Tae Hoon Lee, Byoung Hyuck Kim, Hye Seung Lee, Jaeman Son, Hwiyoung Kim*, Hak Jae Kim, BMC Medical Imaging(2024, IF=2.90, under review)
  2. “Uncertainty Quantification in Automated Detection of Vertebral Metastasis Using Ensemble Monte Carlo Dropout ”
    Sooho Ahn, Seungjin Baek, Jiwoo Park, Jaewon Kim, Hyungjin Rhee, Yong Eun Chung, Hwiyoung Kim*, Young Han Lee*, Journal of Imaging Informatics in Medicine (2024, IF=4.20, in press)

[ Domestic ]

  1. “2023 Survey on User Experience of Artificial Intelligence Software in Radiology by the Korean Society of Radiology”
    Eui Jin Hwang, Ji Eun Park, Kyoung Doo Song, Dong Hyun Yang, Kyung Won Kim, June-Goo Lee, Jung Hyun Yoon, Kyunghwa Han, Dong Hyun Kim, Hwiyoung Kim, Chang Min Park*, Korean Journal of Radiology (2024, IF=7.11)
  2. “Computed Tomography Radiomics for Preoperative Prediction of Spread Through Air Spaces in the Early Stage of Surgically Resected Lung Adenocarcinomas”
    Young Joo Suh*, Kyunghwa Han, Yonghan Kwon, Hwiyoung Kim, Suji Lee, Sung Ho Hwang, Myung Hyun Kim, Hyun Joo Shin, Chang Young Lee, Hyo Sup Shim, Chang Min Park, Yonsei Medical Journal (2024, IF=2.6, in press)

2023

[ International ]

  1. “Identifying major predictors for parenting stress in a caregiver of autism spectrum disorder using machine learning models”
    Hangnyoung Choi, Jae Han Kim, Hwiyoung Kim*, Keun-Ah Cheon*, Frontiers in Neuroscience (2023, IF=5.15, in press)
  2. “Chest Radiography of Tuberculosis: Determination of Activity Using Deep Learning Algorithm”
    Ye Ra Choi, Soon Ho Yoon, Jihang Kim, Jin Young Yoo, Hwiyoung Kim, Kwang Nam Jin*, Tuberculosis and Respiratory Diseases (2023, IF=2.90)
  3. “Development of a deep learning based image processing tool for enhanced organoid analysis”
    Taeyun Park, Taeyul K. Kim, Yoon Dae Han, Kyung-A Kim, Hwiyoung Kim*, Han Sang Kim*, Scientific Reports (2023, IF=4.60, in press)
  4. “Detection of Pacemaker and Identification of MRI-conditional Pacemaker Based on Deep-learning Convolutional Neural Networks to Improve Patient Safety”
    Yoonah Do, Soo Ho Ahn, Sungjun Kim, Jin Kyem Kim, Byoung Wook Choi, Hwiyoung Kim*, Young Han Lee*, Journal of Medical Systems (2023, IF=5.30)
  5. “A machine learning model for predicting hepatocellular carcinoma risk in patients with chronic hepatitis B”
    Hye Won Lee, Hwiyoung Kim*, Taeyun Park, Soo Young Park, Young Eun Chon, Yeon Seok Seo, Jae Seung Lee, Jun Yong Park, Do Young Kim, Sang Hoon Ahn, Beom Kyung Kim, Seung Up Kim, Liver International (2023, IF=8.75)
  6. “Deep-learning-based detection of vertebral fracture and osteoporosis using lateral spine X-ray radiography“
    Namki Hong*, Sang Wouk Cho, Sungjae Shin, Seunghyun Lee, Seol A Jang, Seunghyun Roh, Young Han Lee, Yumie Rhee, Steven R Cummings, Hwiyoung Kim*, and Kyoung Min Kim*, Journal of Bone and Mineral Research (2023, IF=6.39)

[ Domestic ]

  1. “T1 Map-Based Radiomics for Prediction of Left Ventricular Reverse Remodeling in Patients With Nonischemic Dilated Cardiomyopathy”
    Suyon Chang, Kyunghwa Han, Yonghan Kwon, Rina Kim, Seung Hyun Hwang, Hwiyoung Kim, Byoung Wook Choi*, Korean Journal of Radiology (2023, IF=7.11)

2022

[ International ]

  1. “Performance of Deep Learning-based Pulmonary Nodule Detection with Synthetic Bone-suppressed Chest Radiographs“
    Hwiyoung Kim*, Kye Ho Lee*, Kyunghwa Han, Ji Won Lee, Jin Young Kim, Dong Jin Im, Yoo Jin Hong, Byoung Wook Choi, Jin Hur, JAMA Network Open (2022, IF=13.35)
  2. “Influence of computed tomography slice thickness on deep learning-based, automatic coronary artery calcium scoring software performance“
    Suh Young Kim, Young Joo Suh*, Hye-Jeong Lee, Hwiyoung Kim, Hyungi Seo, Hee Jun Park, Dong Hyun Yang ,Quantitative Imaging in Medicine and Surgery (2022, IF=4.63)
  3. “Clinical application of deep learning-based synthetic CT from real MRI to improve dose planning accuracy in Gamma Knife radiosurgery: a proof of concept study“
    So Hee Park, Dong Min Choi, In-ho Jung, Kyung Won Chang, Myung Ji Kim, Hyun Ho Jung, Jin Woo Chang, Hwiyoung Kim*, Won Seok Chang*, Biomedical Engineering Letters (2022, IF=3.92)
  4. “Development and Validation of a Visually Explainable Deep Learning Model for Classification of C-shaped Canals of the Mandibular Second Molars in Periapical and Panoramic Dental Radiographs“
    Yang Sujin, Hagyeong Lee, Byounghan Jang, Kee-Deog Kim, Jaeyeon Kim, Hwiyoung Kim*, Wonse Park,  Journal of Endodontics (2022, IF=4.17)

2021

[ International ]

  1. “A Deep Learning Model with High Standalone Performance for Diagnosis of Unruptured Intracranial Aneurysm“
    Bio Joo, Hyun Seok Choi*, Sung Soo Ahn, Jihoon Cha, So Yeon Won, Beomseok Sohn, Hwiyoung Kim, Kyunghwa Han, Hwa Pyung Kim, Jong Mun Choi, Sang Min Lee, Tae Gyu Kim, Seung-Koo Lee, Yonsei Medical Journal (2021, IF=3.05)
  2. “Radiomics machine learning study with small sample size: single random training-test set split may result in unreliable results”
    Chansik Ahn, Yae Won Park, Sung Soo Ahn, Kyounghwa Han, Hwiyoung Kim, Seung-Koo Lee, PLOS ONE (2021, IF=3.24)
  3. “Bone Radiomics Score Derived From DXA Hip Images Enhances Hip Fracture Prediction in Older Women” 
    Namki Hong, Heajeong Park, Chang Oh Kim, Hyeon Chang Kim, Jin-Young Choi, Hwiyoung Kim, Yumie Rhee*, Journal of Bone and Mineral Research (2021, IF=5.85)
  4. “Radiomics With Ensemble Machine Learning Predicts Dopamine Agonist Response in Patients With Prolactinoma”
    Yae Won Park, Jihwan Eom, Sooyon Kim, Hwiyoung Kim, Sung Soo Ahn, Cheol Ryong Ku, Eui Hyun Kim*, Eun Jig Lee, Sun Ho Kim, Seung-Koo Lee, Journal of Clinical Endocrinology & Metabolism (2021, IF=5.61)
  5. “Development of a deep learning-based algorithm for the automatic detection and quantification of aortic valve calcium”
    Suyon Chang, Hwiyoung Kim, Young Joo Suh, Dong Min Choi, Hyunghu Kim, Dong Kyu Kim, Jin Young Kim, Jin Young Yoo, Byoung Wook Choi, European Journal of Radiology (2021, IF = 4.53)
  6. “Using deep learning to predict temporomandibular joint disc perforation based on magnetic resonance imaging”
    Jae-Young Kim, Dong Wook Kim, Kug-Jin Jeon, Hwiyoung Kim, Jong-Ki Huh*, Scientific Reports (2021, IF=4.01)
  7. “Differentiation of recurrent glioblastoma from radiation necrosis using diffusion radiomics with machine learning model development and external validation”
    Yae Won Park, Dongmin Choi, Sung Soo Ahn*, Ji Eun Park, Hwiyoung Kim; Jong Hee Chang, Se Hoon Kim, Ho Sung Kim, Seung-Koo Lee, Scientific Reports (2021, IF=4.01)

2020

[ International ]

  1. “Development and Validation of a Deep Learning–Based Model to Distinguish Glioblastoma from Solitary Brain Metastasis Using Conventional MR Images“
    Ilah Shin*, Hwiyoung Kim, Chansik An, Sung Soo Ahn*, Kyunghwa Han, Sang Wook Kim, Ji Eun Park, Ho Sung Kim, Seung-Koo Lee, American Journal of Neuroradiology (2020, IF=3.38)
  2. “MRI Features May Predict Molecular Features of Glioblastoma in Isocitrate Dehydrogenase Wild-Type Lower-Grade Gliomas”
    Chaejung Park, Kyunghwa Han, Hwiyoung Kim, Sung Soo Ahn*, Yoon Seung Choi, Yae Won Park, Jong Hee Chang, Se Hoon Kim, Rajan Jain, Seung-Koo Lee, American Journal of Neuroradiology (2020, IF=3.38)
  3. “Radiomics features of hippocampal regions in magnetic resonance imaging can differentiate medial temporal lobe epilepsy patients from healthy controls”
    Yae Won Park, Yun Seo Choi, Song E Kim, Dongmin Choi, Kyunghwa Han, Hwiyoung Kim, Sung Soo Ahn, Sol-Ah Kim, Hyeon Jin Kim, Soo Mee Lim, Hyang Woon Lee*, Scientific Reports (2020, IF=4.01)
  4. “Radiomics risk score may be a potential imaging biomarker for predicting survival in isocitrate dehydrogenase wild-type lower-grade gliomas”
    Chaejung Park, Kyunghwa Han, Hwiyoung Kim, Sung Soo Ahn*, Yoon Seung Choi, Yae Won Park, Jong Hee Chang, Se Hoon Kim, Rajan Jain, Seung-Koo Lee, European Radiology 30:6464–6474 (2020, IF=4.10)
  5. “Diffusion tensor and postcontrast T1-weighted imaging radiomics to differentiate the epidermal growth factor receptor mutation status of brain metastases from non-small cell lung cancer“
    Yae Won Park, Chansik An, Kyunghwa Han, Dongmin Choi; Sung Soo Ahn*, Hwiyoung Kim, Sung Jun Ahn, Jong Hee Chang, Se Hoon Kim, Seung-Koo Lee, Neuroradiology (2020, IF=2.37)
  6. “Deep Learning for Automated Detection of Cyst and Tumors of the Jaw in Panoramic Radiographs”
    Hyunwoo Yang, Eun Jo, Hyung Jun Kim, In-ho Cha, Young-Soo Jung, Woong Nam, Jun-Young Kim, Jin-Kyu Kim, Yoon Hyeon Kim, Tae Gyeong Oh, Sang-Sun Han, Hwiyoung Kim* , Dongwook Kim*, Journal of Clinical Medicine (2020, IF=5.58)
  7. “Robust performance of deep learning for distinguishing glioblastoma from single brain metastasis using radiomic features: model development and validation“
    Sohi Bae, Chansik An, Sung Soo Ahn*, Hwiyoung Kim*, Kyunghwa Han, Sang Wook Kim, Ji Eun Park, Ho Sung Kim, Seung-Koo Lee, Scientific Reports (2020, IF=4.01)
  8. “Machine Learning Based Radiomic HPV Phenotyping of Oropharyngeal SCC: A Feasibility Study Using MRI”
    Beomseok Sohn, Yoon Seong Choi, Sung Soo Ahn, Hwiyoung Kim, Kyunghwa Han, Seung-Koo Lee, Jinna Kim*, Laryngoscope (2020, IF=2.34)

[ Domestic ]

  1. “Artificial Intelligence in Health Care: Current Applications and Issues”
    Chan-Woo Park, Sung Wook Seo, Noeul Kang, BeomSeok Ko, Byung Wook Choi, Chang Min Park, Dong Kyung Chang, Hwiyoung Kim, Hyunchul Kim, Hyunna Lee, Jinhee Jang, Jong Chul Ye, Jong Hong Jeon, Joon Beom Seo, Kwang Joon Kim, Kyu-Hwan Jung, Namkug Kim, Seungwook Paek, Soo-Yong Shin, Soyoung Yoo, Yoon Sup Choi, Youngjun Kim, Hyung-Jin Yoon*, Journal of Korean Medical Science 2:35(42) (2020, IF=1.71)

2019

[ International ]

  1. “Development of a deep neural network for generating synthetic dual-energy chest x-ray images with single x-ray exposure”
    Donghoon Lee, Hwiyoung Kim, Byoung Wook Choi*, Hee-Joung Kim*, Physics in Medicine and Biology (2019, IF=3.03)

[ Domestic ]

  1. “Exploiting the Vulnerability of Deep Learning-Based Artificial Intelligence Models in Medical Imaging: Adversarial Attacks”
    Hwiyoung Kim, Dae Chul Jung, Byoung Wook Choi*, Journal of Korean Society of Radiology 80:2 (2019, review article)

2018

[ International ]

  1. “Machine learning to predict the occurrence of bisphosphonate-related osteonecrosis of the jaw associated with dental extraction: A preliminary report”
    Dong Wook Kim, Hwiyoung Kim, Woong Nam, Hyung Jun Kim, In-Ho Cha*, Bone 116 (2018, IF=4.36)

2017

[ International ]

  1. “Smartphone application for mechanical quality assurance of medical linear accelerators”,
    Hwiyoung Kim, Hyunseok Lee, Jong In Park, Chang Heon Choi, So-Yeon Park, Hee Jung Kim, Young Suk Kim, Sung-Joon Ye, Physics in Medicine and Biology 62:11, N254-270 (2017, IF=2.74)

2013

[ International ]

  1. “Development of real-time motion verification system using in-room optical images for respiratory-gated radiotherapy,”
    Yang-Kyun Park, Tae-geun Son, Hwiyoung Kim, Jaegi Lee, Wonmo Sung, Il Han Kim, Kunwoo Lee, Young-bong Bang,* Sung-Joon Ye, Journal of Applied Clinical Medical Physics 14:5, 25–42 (2013, IF=1.68)

2011

[ International ]

  1. “Qusai-breath-hold technique using personalized audio-visual biofeedback for respiratory motion management in radiotherapy,”
    Yang-Kyun Park, Siyoung Kim,Hwiyoung Kim, Il Han Kim, Kunwoo Lee, Sung-Joon Ye, Medical Physics 38:6, 3114–24 (2011, IF=3.32)
  2. “Development of an optical-based image guidance system: Technique detecting external markers behind a full facemask,”
    Hwiyoung Kim, Yang-kyun Park, Il Han Kim, Kunwoo Lee, Sung-Joon Ye, Medical Physics 38:6, 3006–12 (2011, IF=3.32)
  3. “MOSFET Dosimetry for Evaluation of Gonad Shielding during Radiotherapy,”
    Hwiyoung Kim, Yunseok Choi, So-Yeon Park, Yang-Kyun Park, Sung-Joon Ye, Journal of Radiation Protection 36:1, 23–27 (2011)

Conferences

*corresponding author(s)

2024

[ International ]

  1. “Exploration of multimorbidity patterns of chronic diseases in patients with atrial fibrillation or flutter (AFF) using BEHRT and BERTopic: A feasibility study.“
    Sookyung Bae, Yeonjae Kim, Hwiyoung Kim, Bomi Park, 2024 IEEE First International Conference on Artificial Intelligence for Medicine, Health and Care (AIMHC) (pp. 68-69), Feb 2024 (oral presentation)
  2. “Early Detection of Autism Spectrum Disorder: Deep Learning Analysis of Short Speech Segment for Language Delay Diagnosis“
    Junho Hong, Soo Kyung Bae, Hwiyoung Kim, Keun-Ah Cheon, International Conference of the IEEE Engineering in Medicine and Biology Society(EMBC), Jul 2024 (poster presentation)
  3.  “Autism Spectrum Disorder (ASD) Behavior Patterns Identification Using Summarization and BERTopic from Clinical Notes“
    Sookyung Bae, Hangnyoung Choi, Hwiyoung Kim, Chaewon Lee, and Keun-Ah Cheon, International Conference of the IEEE Engineering in Medicine and Biology Society(EMBC), Jul 2024 (poster presentation)

[ Domestic ]

  1. “Identifying Autism Spectrum Disorder (ASD) Behavior Patterns Using LLM, RAG, and BERTopic from Clinical Notes“
    Sookyung Bae, Hangnyoung Choi, Hwiyoung Kim, Chaewon Lee, Keun-Ah Cheon, Koreas Society of Artificial Intelligence in Medicine, Oct 2024 (poster presentation)

2020

[ International ]

  1. “Deep Learning-based Fully Automated Detection and Quantification of Acute Infarcts”
    Seunghyun Hwang, Hwiyoung Kim, Jihoon Cha, Hyukgi Kim, Kyungmi Lee, Hyunsuk Choi, Seung-Koo Lee, Radiological Society of North America 106th Scientific Assembly and Annual Meeting, Nov 2020 (oral presentation)
  2. “Differentiation of recurrent glioblastoma from radiation necrosis using diffusion radiomics: Machine Learning model development and external validation”
    Yae Won Park, Ji Eun Park, Sung Soo Ahn, Hwiyoung Kim, Ho Sung Kim, Seung-Koo Lee, 23th Medical Image Computing and Computer Assisted Interventions RNO-AI 2020 Workshop, Oct 2020 (oral presentation)
  3. “Radiomics Features of Hippocampal Regions in Conventional and Diffusion Tensor Imagings can Differentiate Temporal Lobe Epilepsy Patients”
    Yae Won Park, Dongmin Choi, Kyunghwa Han, Sung Soo Ahn, Hwiyoung Kim, Hyang Woon Lee, International Society for Magnetic Resonance in Medicine 28th Annual Meeting & Exhibition, Apr 2020 (oral presentation)

2019

[ International ]

  1. “Discrimination Between Glioblastoma and Single Brain Metastasis Using Radiomics and Machine Learning: Model Development and External Validation”
    Sohi Bae, Sung soo Ahn, Chansik An, Hwiyoung Kim, Kyunghwa Han, Bio Joo, Hanbum Jee, Ilah Shin, Soyeon Won, Seung-Koo Lee, Ho Sung Kim, Ji Eun Park, Radiological Society of North America 105th Scientific Assembly and Annual Meeting, Nov 2019 (poster presentation)
  2. “Deep learning-based Discrimination between Glioblastoma versus Single Metastasis on Conventional Magnetic Resonance Images”
    Ilah Shin, Sung soo Ahn, Hwiyoung Kim, Kyunghwa Han, Seung-Koo Lee, Radiological Society of North America 105th Scientific Assembly and Annual Meeting, Nov 2019 (oral presentation)
  3. “Development of Deep Learning-based Algorithm for Automatic Detection and Classification for Aortic Valve Calcium”
    Suyon Chang, Young joo Suh, Hwiyoung Kim, Dongmin Choi, Hyunseok Cho, Byoung Wook Choi, Radiological Society of North America 105th Scientific Assembly and Annual Meeting, Nov 2019 (oral presentation, presenter)
  4. “Determination of Active Tuberculosis and Inactive Fibronodular Opacity on Chest Radiographs using Deep Learning Algorithm”
    Ye Ra Choi, Hwiyoung Kim, Kwang Nam Jin, Radiological Society of North America 105th Scientific Assembly and Annual Meeting, Nov 2019 (poster presentation)
  5. “Development of Synthetic Chest Image Network for Implementing Dual Energy Chest X-ray Image with Single X-ray Exposure”
    Donghoon Lee, Byoung Wook Choi, Hwiyoung Kim, and Hee-Joung Kim, Society for Imaging Informatics in Medicine 2019 Annual Meeting, Jun 2019 (oral presentation)
  6. “Automatic grading of ankle osteoarthritis based on Takakura staging system: a deep learning-based approach”
    Hwiyoung Kim, Jiyun Choi, Chul-Young Jang, Jin Woo Lee, Sungjun Kim, Seung Hwan Han, American Orthopaedic Foot & Ankle Society Annual Meeting 2019 (oral presentation)

[ Domestic ]

  1. “Artificial intelligence-based skull data extraction from brain magnetic resonance imaging to improve dose accuracy of gamma knife stereotactic radiosurgery”
    So Hee Park, Myungji Kim, Hyun Ho Jung, Jin Woo Chang, Hwiyoung Kim, Won Seok Chang, The 59th Annual Meeting of the Korean Neurosurgical Society, Oct 2019 (oral presentation)
  2. “Discrimination between glioblastoma and single brain metastasis using radiomics and machine learning: model development and external validation”
    Sohi Bae, Sung soo Ahn, Chansik An, Hwiyoung Kim, Kyunghwa Han, Bio Joo, Hanbum Jee, Ilah Shin, Soyeon Won, Seung-Koo Lee, Ho Sung Kim, Ji Eun Park, Korea Congress of Radiology 2019, Sep 2019 (oral presentation)
  3. “Deep learning-based discrimination between glioblastoma versus single metastasis on conventional magnetic resonance images”
    Ilah Shin, Sung soo Ahn, Hwiyoung Kim, Kyunghwa Han, Seung-Koo Lee, Korea Congress of Radiology 2019, Sep 2019 (oral presentation)
  4. “Detection of pediatric humerus supracondylar elbow fractures using deep convolutional neural network”
    Hwiyoung Kim, Haesung Yoon, Hyun Joo Shin, Myung-Joon Kim, Taehoon Shin, Mi-Jung Lee, Korea Congress of Radiology 2019, Sep 2019 (oral presentation)
  5. “Development of deep learning-based algorithm for automatic detection and classification for aortic valve calcium”
    Suyon Chang, Young joo Suh, Hwiyoung Kim, Dongmin Choi, Hyunseok Cho, Byoung Wook Choi, Korea Congress of Radiology 2019, Sep 2019 (oral presentation)
  6. “Chest radiographs of tuberculosis: Determination of disease activity using deep learning algorithm”
    Ye Ra Choi, Hwiyoung Kim, Kwang Nam Jin, Korea Congress of Radiology 2019, Sep 2019 (oral presentation)

2018

[ International ]

  1. “Feasibility study of generating virtual contrast-enhanced CT images from noncontrast abdomen CT in patients with hepatocellular carcinoma using conditional generative adversarial networks”
    Jae Seok Bae, Jung Hoon Kim, Hwiyoung Kim, Joon Koo Han, Radiological Society of North America 104th Scientific Assembly and Annual Meeting, Nov 2018 (poster presentation)
  2. “Detection of Pacemaker and Determination of MRI-conditional Pacemaker Based on Deep-learning Convolutional Neural Networks to improve the Patients’ MRI Safety”
    Yoonah Do, Jin Kyem Kim, Young Han Lee, Hwiyoung Kim, Sungjun Kim, Radiological Society of North America 104th Scientific Assembly and Annual Meeting, Nov 2018 (poster presentation)
  3. “Determination of Musculoskeletal Magnetic Resonance Imaging Protocol between Routine Protocol and Radiologist-Tailored Protocol Using Deep-learning Convolutional Neural Networks”
    Jin Kyem Kim,  Yoonah Do, Young Han Lee, Hwiyoung Kim, Sungjun Kim, Radiological Society of North America 104th Scientific Assembly and Annual Meeting, Nov 2018 (poster presentation)
  4. “Factors to evaluate artificial-intelligence-based automation clinical-decision-support-system for diagnosis of pulmonary tuberculosis in chest radiography”
    Byoung Wook Choi, Eun-Young Kang, Myung Jin Chung, Woocheol Kwon, Yookyung Kim, Jung Hwa Hwang, Chul Hwan Park, Soon Ho Yoon, Yoon Ki Cha, Kyunghwa Han, Hwiyoung Kim, Radiological Society of North America 104th Scientific Assembly and Annual Meeting, Nov 2018 (oral presentation)
  5. “MR Image based Pseudo-CT Image Synthesis using Conditional Generative Adversarial Network”
    Hwiyoung Kim, Taeho Kim, Siyong Kim, Sung-Joon Ye, American Association of Physicists in Medicine 60th Annual Meeting, Aug 2018 (oral presentation, presenter)
  6. “Development of a CT Metal Artifact Reduction Technique based on Deep Learning”
    Jimin Lee, Hyungjoo Cho, Hwiyoung Kim, Hee-Dong Chae, Sung-Joon Ye, American Association of Physicists in Medicine 60th Annual Meeting, Aug 2018 (ePoster presentation)

[ Domestic ]

  1. “A Study on Effect of Data Augmentation by Image Processing in Medical Image Analysis Performance”
    Sang Wook Kim, Hwiyoung Kim, Korean Institute of Communications and Information Sciences Fall Conference, Nov 2018 (poster presentation, corresponding, excellent research award)
  2. “Automatic grading of ankle osteoarthritis based on Takakura staging system: a deep learning-based approach”
    Hwiyoung Kim, Jiyun Choi, Seung Hwan Han, Young Han Lee, Sungwon Kim, Sungjun Kim, Korea Congress of Radiology 2018, Sep 2018 (oral presentation, presenter)
  3. “Feasibility study of generating virtual contrast-enhanced CT images from abdomen non-enhanced CT in patients with hepatocellular carcinoma using conditional generative adversarial networks”
    Jae Seok Bae, Hwiyoung Kim, Jung Hoon Kim, Joon Koo Han, Korea Congress of Radiology 2018, Sep 2018 (oral presentation)
  4. “Image Pre-processing for the Predicted Tumor-regression CT Generation using Deep Learning”
    MeYoung Kim, Hwiyoung Kim, Chul-Won Choi, Kyung Su Kim, The 56th Annual Meeting of the Korean Society of Medical Physics, Apr 2018 (poster presentation)

2017

[ International ]

  1. “In Silico Modeling for the Dosimeteric Effect of Metallic Shields On Artifact-Free CT Images Produced by Dummy Shields”
    Jong In Park, Jaegi Lee, Hwiyoung Kim, Chang Heon Choi, Il Han Kim, Sangmin Lee, Sung-Joon Ye, American Association of Physicists in Medicine 59th Annual Meeting, Aug 2017 (ePoster presentation)

[ Domestic ]

  1. “Generation of predicted tumor-regression computed tomography image during definitive concurrent chemo-radiotherapy of the lung cancer using deep learning technique”
    Kyung Su Kim, MeYoung Kim, Hwiyoung Kim, Chul-Won Choi, Kwang Mo Yang, 2017 Korean Association for Lung Cancer Fall Conference, Nov 2017 (oral presentation)
  2. “MR image based Pseudo-CT Image Synthesis using Deep Learning Technique”
    Hwiyoung Kim, Sung-Joon Ye, The 35th Annual Meeting of Korean Society for Radiation Oncology, Oct 2017 (oral presentation, presenter, excellent research award)
  3. “Deep Learning based pseudo-CT synthesis for MR-based radiatiaon treatment planning”
    Hwiyoung Kim, Sung-Joon Ye, The 31st Annual Meeting of Korean Society of Imaging Informatics in Medicine, Jul 2017 (oral presentation, presenter, excellent research award)

2016

[ International ]

  1. “Assessment of Inter- and Intra-fractional Motion for Extremity Soft Tissue Sarcoma Patients by using In-house Real-time Optical Image-based Monitoring System”
    Hwiyoung Kim, Il Han Kim, Sung-Joon Ye, American Association of Physicists in Medicine 58th Annual Meeting, Aug 2016 (ePoster presentation, presenter)
  2. “An Automated Mechanical Quality Assurance System for Medical Accelerators using a Smartphone”
    Hwiyoung Kim, Il Han Kim, Hyunseok Lee, Sangmin Lee, Sung-Joon Ye, 14th International Congress of International Radiation Protection Association, May 2016 (poster presentation, presenter)

2015

[ International ]

  1. “A Smartphone Application for Automated Mechanical Quality Assurance of Medical Accelerators”
    Hwiyoung Kim, Hyunseok Lee, Kwon Choi, Sung-Joon Ye, American Association of Physicists in Medicine 57th Annual Meeting, Jul 2015 (oral presentation, presenter)
  2. “Utilizing 3D Scanner and Printer for Dummy Eye-Shield: Artifact-Free CT Images of Tungsten Eye-Shield for Accurate Dose Calculation”
    Jong In Park, Jaegi Lee, Hwiyoung Kim, Il Han Kim, Sung-Joon Ye, American Association of Physicists in Medicine 57th Annual Meeting, Jul 2015 (poster presentation)

[ Domestic ]

  1. “An Automated Mechanical Quality Assurance System for Medical Accelerators using a Smartphone”
    Hwiyoung Kim, Hyunseok Lee, Kwon Choi, Sung-Joon Ye, The 51st Annual Meeting of the Korean Society of Medical Physics, Oct 2015 (oral presentation, presenter, best paper award)

2014

[ International ]

  1. “Absorbed Doses Determined by Texture Analysis of Gafchromic EBT3 Films Using Scanning Electron Microscopy: A Feasibility Study”
    So-Yeon Park, Hwiyoung Kim, Sung-Joon Ye, American Association of Physicists in Medicine 56th Annual Meeting, Aug 2014 (poster presentation)

[ Domestic ]

  1. “Electron Paramagnetic Resonance Dosimetry using Synthetic Hydroxyapatite”
    Kwon Choi, Hiroshi Hirata, Jong Min Park, Hwiyoung Kim, Sung-Joon Ye, Korean Association of Radiation Protection Annual Fall Symposium, Nov 2014 (poster presentation)
  2. “Optical Margin for Dose Escalation with Conformal Radiation Therapy in Bone Metastasis”
    Sanghyuk Song, Hwiyoung Kim, Suzy Kim, The 32nd Annual Meeting of the Korean Society for Radiation Oncology, Oct 2014 (poster presentation)

2013

[ International ]

  1. “Independent Evaluation of Respiratory-Gated Treatments Using In-House Quality Assurance Tool”
    Jongin Park, Yang-Kyun Park, Jaegi Lee, Hwiyoung Kim, Sung-Joon Ye, American Association of Physicists in Medicine 55th Annual Meeting, Aug 2013 (oral presentation)
  2. “Dual-Gated Radiotherapy with PTV Partition Technique: A Feasibility Study”
    Hwiyoung Kim, Kwon Choi, Sung-Joon Ye, American Association of Physicists in Medicine 55th Annual Meeting, Aug 2013 (poster presentation)

[ Domestic ]

  1. “An Optical Image Guidance System for Head and Neck Patients: Using arbitrarily attached IR Markers behind a Full Facemask“
    Hwiyoung Kim, Yang-Kyun Park, TaeGeun Son, Kunwoo Lee, Il Han Kim, Sung-Joon Ye, The 31st Annual Meeting of the Korean Society for Radiation Oncology, Oct 2013 (poster presentation)
  2. “A multi-institutional study for tolerance levels of pre-treatment IMRT QA“
    Jung-in Kim, Hwiyoung Kim, Yun Seok Choi, Chang Heon Choi, Jin-Beom Chung, Joo-Young Song, Sung Kyu Kim, Won Hoon Choi, Byungchul Cho, Jin Sung Kim, Sung Jin Kim, Sung-Joon Ye, The 30th Annual Meeting of the Korean Society for Radiation Oncology, Oct 2013 (oral presentation, presenter)

2012

[ International ]

  1. “Development of Real-time Motion Verification System for Respiratory-Gated Radiotherapy“
    Yang-Kyun Park, Hwiyoung Kim, So-Yeon Park, Hee Jung Kim, Kunwoo Lee, Il Han Kim, Sung-Joon Ye, American Association of Physicists in Medicine 54th Annual Meeting, Aug 2012 (poster presentation)
  2. “An Optical Image Guidance System: To Detect arbitrarily attached Markers behind a Full Facemask“
    Hwiyoung Kim, Yang-Kyun Park, TaeGeun Son, Kunwoo Lee, Il Han Kim, Sung-Joon Ye, American Association of Physicists in Medicine 54th Annual Meeting, Aug 2012 (poster presentation)
  3. “MOSFET Dosimetry for Evaluation of Gonad Shielding during Radiotherapy“
    Hwiyoung Kim, Yunseok Choi, So-Yeon Park, Yang-Kyun Park, Sung-Joon Ye, 13th International Congress of International Radiation Protection Association, May 2012 (poster presentation)

2011

[ International ]

  1. “Development of an Optical Image based Guidance System for Head and Neck Cancer Patients by Detecting External Markers behind a Full Facemask“
    Hwiyoung Kim, Yang-Kyun Park, Kunwoo Lee, Il Han Kim, Sung-Joon Ye, American Society for Radiation Oncology 53rd Annual Meeting, Oct 2011 (poster presentation)
  2. “Quasi-breath-hold technique using personalized audio-visual biofeedback for respiratory motion management in radiotherapy“
    Yang-Kyun Park, Siyong Kim, Hwiyoung Kim, Kunwoo Lee, Il-Han Kim, Sung-Joon Ye, American Society for Radiation Oncology 53rd Annual Meeting, Oct 2011 (poster presentation)

[ Domestic ]

  1. “Development of an Optical-based Image Guidance System: Technique Detecting External Markers behind a Full Facemask“
    Hwiyoung Kim, Yang-Kyun Park, Kunwoo Lee, Il Han Kim, Sung-Joon Ye, The 42nd Annual Meeting of the Korean Society of Medical Physics, Apr 2011 (oral presentation, presenter)
  2. “MOSFET Dosimetry for Evaluation of Gonad Shielding during Radiotherapy“
    Hwiyoung Kim, Yunseok Choi, So-Yeon Park, Yang-Kyun Park, Sung-Joon Ye, Korean Association of Radiation Protection Annual Spring Symposium and Workshop, Apr 2011 (oral presentation, presenter, best paper award)

2010

[ International ]

  1. “Monte Carlo Study of Absorbed Dose to Solid Water for External Auditing”
    Jung-in Kim, Jong Min Park, Yang-Kyun Park, Chang Heon Choi, Yun Seok Choi, Hee Jung Kim, Hwiyoung Kim, So-Yeon Park, Woong Cho, Sung-Joon Ye, American Association of Physicists in Medicine 52nd Annual Meeting, Jul 2010 (poster presentation)
  2. “Dosimetry for An Ophthalmic Applicator of P-32”
    Chang Heon Choi, Jung-in Kim, Jong Min Park, So-Yeon Park, Yun Seok Choi, Hee Jung Kim, Yang-Kyun Park, Hwiyoung Kim, Sung-Joon Ye, American Association of Physicists in Medicine 52nd Annual Meeting, Jul 2010 (poster presentation)

[ Domestic ]

  1. “Optical Image-guided Radiotherapy System for Head and Neck Cancer Patients during Immobilization with Thermoplastic Mask: Feasibility Study“
    Hwiyoung Kim, Yang-Kyun Park, Il Han Kim, Sung-Joon Ye, The 28th Annual Meeting of the Korean Society for Radiation Oncology, Oct 2010 (poster presentation)
  2. “Feasibility Study for Feedback Guided Voluntary Breath Hold using Stereo Camera-based Monitoring System“
    Yang-Kyun Park, Hwiyoung Kim, Siyong Kim, Il-Han Kim, Sung-Joon Ye, The 28th Annual Meeting of the Korean Society for Radiation Oncology, Oct 2010 (poster presentation)

Book Chapters

in Korean

  1. 천근아 외 공저, “자폐스텍트럼장애: 최신 뇌과학 이론과 임상적 실제의 모든 것,” 학지사 (ISBN: 978-89-997-3256-0 93370, 2024)
  2. 서준범 외 공저, “의료인공지능 백서,” 대한의료인공지능학회, 창의와지식 (ISBN: 979-11-6003-205-5, 2020)
  3. 임태환 외 공저, “인공지능: 보건의료전문인을 위한 길라잡이,” 군자출판사 (ISBN: 979-11-5955-565-7, 2020)
  4. 전종홍 외 공저, “감염병 재난 대응을 위한 의료인공지능 기술표준 동향,” 한국전자통신연구원 (ISBN: 978-89-5519-278-0, 2020)