Scientific Journals

*main/corresponding author(s)

1. Hangnyoung Choi, Jae Han Kim, Hwiyoung Kim*, and Keun-Ah Cheon* “Identifying major predictors for parenting stress in a caregiver of autism spectrum disorder using machine learning models”, Frontiers in Neuroscience (2023, IF=5.15, in press)

2. Ye Ra Choi, Soon Ho Yoon, Jihang Kim, Jin Young Yoo, Hwiyoung Kim, and Kwang Nam Jin, “Chest Radiography of Tuberculosis: Determination of Activity Using Deep Learning Algorithm”, Tuberculosis and Respiratory Diseases (2023, IF=2.90)

3. Taeyun Park*, Taeyul K. Kim*, Yoon Dae Han, Kyung-A Kim, Hwiyoung Kim*, and Han Sang Kim, “OrgaExtractor: An easy-to-use deep learning-based image processing tool for organoid image analysis”, Scientific Reports (2023, IF=4.60, in press)

4. Sooho Ahn*, Yoonah Do*, Hwiyoung Kim*, and Young Han Lee “Detection of Pacemaker and Identification of MRI-conditional Pacemaker Based on Deep-learning Convolutional Neural Networks to Improve Patient Safety”, Journal of Medical Systems (2023, IF=5.30, in press)

5. Hye Won Lee*, Hwiyoung Kim*, Taeyun Park, Beom Kyung Kim, and Seung Up Kim, “Machine learning-based hepatocellular prediction model for chronic hepatitis B with entecavir or tenofovir”, Liver International (2023, IF=8.754)

6. 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*, “Deep-learning-based detection of vertebral fracture and osteoporosis using lateral spine X-ray radiography”, Journal of Bone and Mineral Research (2023, IF=6.390)

7. Suyon Chang, Kyunghwa Han, Yonghan Kwon, Rina Kim, Seung Hyun Hwang, Hwiyoung Kim, and Byoung Wook Choi*, “T1 map-based radiomics for prediction of left ventricular reverse remodeling in patients with non-ischemic dilated cardiomyopathy”, Korean Journal of Radiology (2023, IF=7.109)

8. Hwiyoung Kim*, Kye Ho Lee*, Kyunghwa Han, Ji Won Lee, Jin Young Kim, Dong Jin Im, Yoo Jin Hong, Byoung Wook Choi, and Jin Hur, "Performance of Deep Learning-based Pulmonary Nodule Detection with Synthetic Bone-suppressed Chest Radiographs". JAMA Network Open (2022, IF=13.350)

9. Suh Young Kim, Young Joo Suh, Hye-Jeong Lee, Hwiyoung Kim, Hyungi Seo, Hee Jun Park, and Dong Hyun Yang "Influence of computed tomography slice thickness on deep learning-based, automatic coronary artery calcium scoring software performance" Quantitative Imaging in Medicine and Surgery (2022, IF=4.630)

10. 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, "Clinical application of deep learning-based synthetic CT from real MRI to improve dose planning accuracy in Gamma Knife radiosurgery." Biomedical Engineering Letters (2022, IF=3.920)

11. Yang Sujin, Hagyeong Lee, Byounghan Jang, Kee-Deog Kim, Jaeyeon Kim, Hwiyoung Kim*, and Wonse Park. "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." Journal of Endodontics (2022, IF=4.171)

12. Bio Joo, Hyunseok Choi, Sung Soo Ahn, Jihoon Cha, Soyeon Won, Beomseok Sohn, Hwiyoung Kim, Kyounghwa Han, and Seung-Koo Lee, “A deep learning model with high standalone performance for diagnosis of unruptured intracranial aneurysm", Yonsei Medical Journal (2021, IF=1.914)

13. Chansik Ahn, Yae Won Park, Sung Soo Ahn, Kyounghwa Han, Hwiyoung Kim, and Seung-Koo Lee, “Radiomics machine learning study with small sample size: single random training-test set split may result in unreliable results”, PLOS ONE (2021, IF=3.240)

14. Namki Hong, Heajeong Park, Chang Oh Kim, Hyeon Chang Kim, Jin-Young Choi, Hwiyoung Kim, Yumie Rhee, “Bone radiomics score derived from DXA hip images enhances hip fracture prediction in older women” Journal of Bone and Mineral Research (2021, IF=5.854)

15. 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, “Radiomics with Ensemble Machine Learning Predicts Dopamine Agonist Response in Patients with Prolactinoma,” Journal of Clinical Endocrinology & Metabolism (2021, IF=5.605)

16. Suyon Chang*, Hwiyoung Kim*, Young Joo Suh, Dong Min Choi, Hyunseok Cho, and Byoung Wook Choi “Development of deep learning-based algorithm for automatic detection and classification for aortic valve calcium” European Journal of Radiology (2021, IF=3.110)

17. Jae-Young Kim, Dong Wook Kim, Kug-Jin Jeon, Hwiyoung Kim, and Jong-Ki Huh, “Using deep learning to predict temporomandibular joint disc perforation based on magnetic resonance imaging” Scientific Reports (2021, IF=4.011)

18. 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, “Differentiation of Recurrent Glioblastoma from Radiation Necrosis using Diffusion Radiomics with Machine Learning Model Development and External Validation”, Scientific Reports (2021, IF=4.011)

19. Ilah Shin*, Hwiyoung Kim*, Chansik An, Sung Soo Ahn, Kyunghwa Han, Sang Wook Kim, Ji Eun Park, Ho Sung Kim, and Seung-Koo Lee, "Development and validation of a deep learning-based model to distinguish glioblastoma from single brain metastasis in conventional magnetic resonance images.", American Journal of Neuroradiology (2020, IF=3.380)

20. 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, and Hyung-Jin Yoon, “Artificial Intelligence in Health Care: Current Applications and Issues”, Journal of Korean Medical Science 2:35(42) (2020, IF=1.705)

21. Chaejung Park, Kyunghwa Han, Hwiyoung Kim, Sung Soo Ahn, Yoon Seung Choi, Yae Won Park, Jong Hee Chang, Se Hoon Kim, Rajan Jain, and Seung-Koo Lee, “MRI features may predict molecular features of glioblastoma in isocitrate dehydrogenase wild-type lower-grade gliomas”, American Journal of Neuroradiology (2020, IF=3.380)

22. 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, “Radiomics Features of Hippocampal Regions in Conventional and Diffusion Tensor Imagings can Differentiate Temporal Lobe Epilepsy Patients from Healthy Controls”, Scientific Reports (2020, IF=4.011)

23. Chaejung Park, Kyunghwa Han, Hwiyoung Kim, Sung Soo Ahn, Yoon Seung Choi, Yae Won Park, Jong Hee Chang, Se Hoon Kim, Rajan Jain, and Seung-Koo Lee, “Radiomics risk score may be a potential imaging biomarker for predicting survival in isocitrate dehydrogenase wild-type lower-grade gliomas” European Radiology 30:6464–6474 (2020, IF=4.101)

24. 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, "Diffusion Tensor and Conventional Imaging Radiomics Features to Differentiate the Epidermal Growth Factor Receptor Mutation Status of Brain Metastases from Non-Small Cell Lung Cancer", Neuroradiology (2020, IF=2.370)

25. Hyunwoo Yang, Hwiyoung Kim*, In-ho Cha, Young-Soo Jung, Woong Nam, Jun young Kim, Jin-Kyu Kim, Yoon Hyeon Kim, Tae Gyeong Oh, Sang-Sun Han, Hyung Jun Kim, and Dongwook Kim*, “Automated detection of cyst and tumors of the jaw using deep learning in panoramic radiographs”, Journal of Clinical Medicine (2020, IF=5.583)

26. Sohi Bae, Chansik An, Sung Soo Ahn*, Hwiyoung Kim*, Kyunghwa Han, Sang Wook Kim, Ji Eun Park, Ho Sung Kim, and Seung-Koo Lee, "Robust performance of deep learning for distinguishing glioblastoma from single brain metastasis using radiomic features: Model development and validation", Scientific Reports (2020, IF=4.011)

27. Beomseok Sohn, Yoon Seong Choi, Sung Soo Ahn, Hwiyoung Kim, Sang Wook Kim, Kyunghwa Han, Seung-Koo Lee, and Jinna Kim, “Machine learning based radiomic HPV phenotyping of oropharyngeal SCC: a feasibility study using MRI”, Laryngoscope (2020, IF=2.343)

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

29. Donghoon Lee, Hwiyoung Kim, Byoung Wook Choi, and Hee-Joung Kim, “Development of a Deep Neural Network for Generating Synthetic Dual-Energy Chest X-Ray Images With Single X-Ray Exposure”, Physics in Medicine and Biology (2019, IF=3.030)

30. Dong Wook Kim, Hwiyoung Kim, Woong Nam, Hyung Jun Kim, In-Ho Cha, “Machine learning to predict the occurrence of bisphosphonate-related osteonecrosis of the jaw associated with dental extraction”, Bone 116 (2018, IF=4.360)

31. Hwiyoung Kim, Hyunseok Lee, Jong In Park, Chang Heon Choi, So-Yeon Park, Hee Jung Kim, Young Suk Kim, and Sung-Joon Ye, “Smartphone application for mechanical quality assurance of medical linear accelerators”, Physics in Medicine and Biology 62:11, N254-270 (2017, IF=2.742)

32. Yang-Kyun Park, Tae-geun Son, Hwiyoung Kim, Jaegi Lee, Wonmo Sung, Il Han Kim, Kunwoo Lee, Young-bong Bang, and Sung-Joon Ye, “Development of real-time motion verification system using in-room optical images for respiratory-gated radiotherapy,” Journal of Applied Clinical Medical Physics 14:5, 25–42 (2013, IF=1.679)

33. Yang-Kyun Park, Siyoung Kim, Hwiyoung Kim, Il Han Kim, Kunwoo Lee, Sung-Joon Ye, “Qusai-breath-hold technique using personalized audio-visual biofeedback for respiratory motion management in radiotherapy,” Medical Physics 38:6, 3114–24 (2011, IF=3.317)

34. Hwiyoung Kim, Yang-kyun Park, Il Han Kim, Kunwoo Lee, Sung-Joon Ye, “Development of an optical-based image guidance system: Technique detecting external markers behind a full facemask,” Medical Physics 38:6, 3006–12 (2011, IF=3.317)

35. Hwiyoung Kim, Yunseok Choi, So-Yeon Park, Yang-Kyun Park, and Sung-Joon Ye, “MOSFET Dosimetry for Evaluation of Gonad Shielding during Radiotherapy,” Journal of Radiation Protection 36:1, 23–27 (2011)

Conference Presentations

International Conferences

1. Seunghyun Hwang, Hwiyoung Kim, Jihoon Cha, Hyukgi Kim, Kyungmi Lee, Hyunsuk Choi, and Seung-Koo Lee, “Deep Learning-based Fully Automated Detection and Quantification of Acute Infarcts”, Radiological Society of North America 106th Scientific Assembly and Annual Meeting, Nov 2020 (oral presentation)

2. Yae Won Park, Ji Eun Park, Sung Soo Ahn, Hwiyoung Kim, Ho Sung Kim, and Seung-Koo Lee, “Differentiation of recurrent glioblastoma from radiation necrosis using diffusion radiomics: Machine Learning model development and external validation”, 23th Medical Image Computing and Computer Assisted Interventions RNO-AI 2020 Workshop, Oct 2020 (oral presentation)

3. Yae Won Park, Dongmin Choi, Kyunghwa Han, Sung Soo Ahn, Hwiyoung Kim, and Hyang Woon Lee, “Radiomics Features of Hippocampal Regions in Conventional and Diffusion Tensor Imagings can Differentiate Temporal Lobe Epilepsy Patients”, International Society for Magnetic Resonance in Medicine 28th Annual Meeting & Exhibition, Apr 2020 (oral presentation)

4. 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, “Discrimination Between Glioblastoma and Single Brain Metastasis Using Radiomics and Machine Learning: Model Development and External Validation”, Radiological Society of North America 105th Scientific Assembly and Annual Meeting, Nov 2019 (poster presentation)

5. Ilah Shin, Sung soo Ahn, Hwiyoung Kim, Kyunghwa Han, Seung-Koo Lee, “Deep learning-based Discrimination between Glioblastoma versus Single Metastasis on Conventional Magnetic Resonance Images”, Radiological Society of North America 105th Scientific Assembly and Annual Meeting, Nov 2019 (oral presentation)

6. Suyon Chang, Young joo Suh, Hwiyoung Kim, Dongmin Choi, Hyunseok Cho, Byoung Wook Choi, “Development of Deep Learning-based Algorithm for Automatic Detection and Classification for Aortic Valve Calcium”, Radiological Society of North America 105th Scientific Assembly and Annual Meeting, Nov 2019 (oral presentation, presenter)

7. Ye Ra Choi, Hwiyoung Kim, Kwang Nam Jin, “Determination of Active Tuberculosis and Inactive Fibronodular Opacity on Chest Radiographs using Deep Learning Algorithm”, Radiological Society of North America 105th Scientific Assembly and Annual Meeting, Nov 2019 (poster presentation)

8. Hwiyoung Kim, Jiyun Choi, Chul-Young Jang, Jin Woo Lee, Sungjun Kim, and Seung Hwan Han, “Automatic grading of ankle osteoarthritis based on Takakura staging system: a deep learning-based approach” , American Orthopaedic Foot & Ankle Society Annual Meeting 2019 (oral presentation)

9. Donghoon Lee, Byoung Wook Choi, Hwiyoung Kim, and Hee-Joung Kim, “Development of Synthetic Chest Image Network for Implementing Dual Energy Chest X-ray Image with Single X-ray Exposure”, Society for Imaging Informatics in Medicine 2019 Annual Meeting, Jun 2019 (oral presentation)

10. Jae Seok Bae, Jung Hoon Kim, Hwiyoung Kim, and Joon Koo Han, “Feasibility study of generating virtual contrast-enhanced CT images from noncontrast abdomen CT in patients with hepatocellular carcinoma using conditional generative adversarial networks”, Radiological Society of North America 104th Scientific Assembly and Annual Meeting, Nov 2018 (poster presentation)

11. Yoonah Do, Jin Kyem Kim, Young Han Lee, Hwiyoung Kim, and Sungjun Kim, “Detection of Pacemaker and Determination of MRI-conditional Pacemaker Based on Deep-learning Convolutional Neural Networks to improve the Patients’ MRI Safety”, Radiological Society of North America 104th Scientific Assembly and Annual Meeting, Nov 2018 (poster presentation)

12. Jin Kyem Kim,  Yoonah Do, Young Han Lee, Hwiyoung Kim, and Sungjun Kim, “Determination of Musculoskeletal Magnetic Resonance Imaging Protocol between Routine Protocol and Radiologist-Tailored Protocol Using Deep-learning Convolutional Neural Networks”, Radiological Society of North America 104th Scientific Assembly and Annual Meeting, Nov 2018 (poster presentation)

13. 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, and Hwiyoung Kim, “Factors to evaluate artificial-intelligence-based automation clinical-decision-support-system for diagnosis of pulmonary tuberculosis in chest radiography ”, Radiological Society of North America 104th Scientific Assembly and Annual Meeting, Nov 2018 (oral presentation)

14. Hwiyoung Kim, Taeho Kim, Siyong Kim, and Sung-Joon Ye, “MR Image based Pseudo-CT Image Synthesis using Conditional Generative Adversarial Network”, American Association of Physicists in Medicine 60th Annual Meeting, Aug 2018 (oral presentation, presenter)

15. Jimin Lee, Hyungjoo Cho, Hwiyoung Kim, Hee-Dong Chae, and Sung-Joon Ye, “Development of a CT Metal Artifact Reduction Technique based on Deep Learning”, American Association of Physicists in Medicine 60th Annual Meeting, Aug 2018 (ePoster presentation)

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

17. Hwiyoung Kim, Il Han Kim, and Sung-Joon Ye, “Assessment of Inter- and Intra-fractional Motion for Extremity Soft Tissue Sarcoma Patients by using In-house Real-time Optical Image-based Monitoring System”, American Association of Physicists in Medicine 58th Annual Meeting, Aug 2016 (ePoster presentation, presenter)

18. Hwiyoung Kim, Il Han Kim, Hyunseok Lee, Sangmin Lee, and Sung-Joon Ye, “An Automated Mechanical Quality Assurance System for Medical Accelerators using a Smartphone”, 14th International Congress of International Radiation Protection Association, May 2016 (poster presentation, presenter)

19. Hwiyoung Kim, Hyunseok Lee, Kwon Choi, and Sung-Joon Ye, “A Smartphone Application for Automated Mechanical Quality Assurance of Medical Accelerators”, American Association of Physicists in Medicine 57th Annual Meeting, 2015. 7 (oral presentation, presenter)

20. Jong In Park, Jaegi Lee, Hwiyoung Kim, Il Han Kim, Sung-Joon Ye, “Utilizing 3D Scanner and Printer for Dummy Eye-Shield: Artifact-Free CT Images of Tungsten Eye-Shield for Accurate Dose Calculation”, American Association of Physicists in Medicine 57th Annual Meeting, 2015. 7 (poster presentation)

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

22. Jongin Park, Yang-Kyun Park, Jaegi Lee, Hwiyoung Kim, and Sung-Joon Ye, “Independent Evaluation of Respiratory-Gated Treatments Using In-House Quality Assurance Tool”, American Association of Physicists in Medicine 55th Annual Meeting, Aug 2013 (oral presentation)

23. Hwiyoung Kim, Kwon Choi, and Sung-Joon Ye, “Dual-Gated Radiotherapy with PTV Partition Technique: A Feasibility Study”, American Association of Physicists in Medicine 55th Annual Meeting, Aug 2013 (poster presentation)

24. Yang-Kyun Park, Hwiyoung Kim, So-Yeon Park, Hee Jung Kim, Kunwoo Lee, Il Han Kim, and Sung-Joon Ye, "Development of Real-time Motion Verification System for Respiratory-Gated Radiotherapy", American Association of Physicists in Medicine 54th Annual Meeting, Aug 2012 (poster presentation)

25. Hwiyoung Kim, Yang-Kyun Park, TaeGeun Son, Kunwoo Lee, Il Han Kim, and Sung-Joon Ye, "An Optical Image Guidance System: To Detect arbitrarily attached Markers behind a Full Facemask", American Association of Physicists in Medicine 54th Annual Meeting, Aug 2012 (poster presentation)

26. Hwiyoung Kim, Yunseok Choi, So-Yeon Park, Yang-Kyun Park, and Sung-Joon Ye, “MOSFET Dosimetry for Evaluation of Gonad Shielding during Radiotherapy", 13th International Congress of International Radiation Protection Association, May 2012 (poster presentation)

27. Hwiyoung Kim, Yang-Kyun Park, Kunwoo Lee, Il Han Kim, and Sung-Joon Ye, "Development of an Optical Image based Guidance System for Head and Neck Cancer Patients by Detecting External Markers behind a Full Facemask", American Society for Radiation Oncology 53rd Annual Meeting, Oct 2011 (poster presentation)

28. Yang-Kyun Park, Siyong Kim, Hwiyoung Kim, Kunwoo Lee, Il-Han Kim, and Sung-Joon Ye, "Quasi-breath-hold technique using personalized audio-visual biofeedback for respiratory motion management in radiotherapy", American Society for Radiation Oncology 53rd Annual Meeting, Oct 2011 (poster presentation)

29. 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, and Sung-Joon Ye, “Monte Carlo Study of Absorbed Dose to Solid Water for External Auditing”, American Association of Physicists in Medicine 52nd Annual Meeting, Jul 2010 (poster presentation)

30. Chang Heon Choi, Jung-in Kim, Jong Min Park, So-Yeon Park, Yun Seok Choi, Hee Jung Kim, Yang-Kyun Park, Hwiyoung Kim, and Sung-Joon Ye, “Dosimetry for An Ophthalmic Applicator of P-32”, American Association of Physicists in Medicine 52nd Annual Meeting, Jul 2010 (poster presentation)

Domestic Conferences

1. So Hee Park, Myungji Kim, Hyun Ho Jung, Jin Woo Chang, Hwiyoung Kim, Won Seok Chang, “Artificial intelligence-based skull data extraction from brain magnetic resonance imaging to improve dose accuracy of gamma knife stereotactic radiosurgery”, The 59th Annual Meeting of the Korean Neurosurgical Society, Oct 2019 (oral presentation)

2. 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, “Discrimination between glioblastoma and single brain metastasis using radiomics and machine learning: model development and external validation”, Korea Congress of Radiology 2019, Sep 2019 (oral presentation)

3. Ilah Shin, Sung soo Ahn, Hwiyoung Kim, Kyunghwa Han, Seung-Koo Lee, “Deep learning-based discrimination between glioblastoma versus single metastasis on conventional magnetic resonance images”, Korea Congress of Radiology 2019, Sep 2019 (oral presentation)

4. Hwiyoung Kim, Haesung Yoon, Hyun Joo Shin, Myung-Joon Kim, Taehoon Shin, Mi-Jung Lee, “Detection of pediatric humerus supracondylar elbow fractures using deep convolutional neural network”, Korea Congress of Radiology 2019, Sep 2019 (oral presentation)

5. Suyon Chang, Young joo Suh, Hwiyoung Kim, Dongmin Choi, Hyunseok Cho, Byoung Wook Choi, “Development of deep learning-based algorithm for automatic detection and classification for aortic valve calcium”, Korea Congress of Radiology 2019, Sep 2019 (oral presentation)

6. Ye Ra Choi, Hwiyoung Kim, Kwang Nam Jin, “Chest radiographs of tuberculosis: Determination of disease activity using deep learning algorithm”, Korea Congress of Radiology 2019, Sep 2019 (oral presentation)

7. Sang Wook Kim, and Hwiyoung Kim, “A Study on Effect of Data Augmentation by Image Processing in Medical Image Analysis Performance”, Korean Institute of Communications and Information Sciences Fall Conference, Nov 2018 (poster presentation, corresponding, excellent research award)

8. Hwiyoung Kim, Jiyun Choi, Seung Hwan Han, Young Han Lee, Sungwon Kim, and Sungjun Kim, “Automatic grading of ankle osteoarthritis based on Takakura staging system: a deep learning-based approach”, Korea Congress of Radiology 2018, Sep 2018 (oral presentation, presenter)

9. Jae Seok Bae, Hwiyoung Kim, Jung Hoon Kim, and Joon Koo Han, “Feasibility study of generating virtual contrast-enhanced CT images from abdomen non-enhanced CT in patients with hepatocellular carcinoma using conditional generative adversarial networks”, Korea Congress of Radiology 2018, Sep 2018 (oral presentation)

10. MeYoung Kim, Hwiyoung Kim, Chul-Won Choi, and Kyung Su Kim, “Image Pre-processing for the Predicted Tumor-regression CT Generation using Deep Learning”, The 56th Annual Meeting of the Korean Society of Medical Physics, Apr 2018 (poster presentation)

11. Kyung Su Kim, MeYoung Kim, Hwiyoung Kim, Chul-Won Choi, Kwang Mo Yang, “Generation of predicted tumor-regression computed tomography image during definitive concurrent chemo-radiotherapy of the lung cancer using deep learning technique”, 2017 Korean Association for Lung Cancer Fall Conference, Nov 2017 (oral presentation)

12. Hwiyoung Kim, Sung-Joon Ye, “MR image based Pseudo-CT Image Synthesis using Deep Learning Technique”, The 35th Annual Meeting of Korean Society for Radiation Oncology, Oct 2017 (oral presentation, presenter, excellent research award)

13. Hwiyoung Kim, Sung-Joon Ye, “Deep Learning based pseudo-CT synthesis for MR-based radiatiaon treatment planning”, The 31st Annual Meeting of Korean Society of Imaging Informatics in Medicine, Jul 2017 (oral presentation, presenter, excellent research award)

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

15. Kwon Choi, Hiroshi Hirata, Jong Min Park, Hwiyoung Kim, Sung-Joon Ye, “Electron Paramagnetic Resonance Dosimetry using Synthetic Hydroxyapatite”, Korean Association of Radiation Protection Annual Fall Symposium, Nov 2014 (poster presentation)

16. Sanghyuk Song, Hwiyoung Kim, Suzy Kim, “Optical Margin for Dose Escalation with Conformal Radiation Therapy in Bone Metastasis”, The 32nd Annual Meeting of the Korean Society for Radiation Oncology, Oct 2014 (poster presentation)

17. Hwiyoung Kim, Yang-Kyun Park, TaeGeun Son, Kunwoo Lee, Il Han Kim, and Sung-Joon Ye, "An Optical Image Guidance System for Head and Neck Patients: Using arbitrarily attached IR Markers behind a Full Facemask", The 31st Annual Meeting of the Korean Society for Radiation Oncology, Oct 2013 (poster presentation)

18. 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, and Sung-Joon Ye, "A multi-institutional study for tolerance levels of pre-treatment IMRT QA", The 30th Annual Meeting of the Korean Society for Radiation Oncology, Oct 2013 (oral presentation, presenter)

19. Hwiyoung Kim, Yang-Kyun Park, Kunwoo Lee, Il Han Kim, and Sung-Joon Ye, "Development of an Optical-based Image Guidance System: Technique Detecting External Markers behind a Full Facemask", The 42nd Annual Meeting of the Korean Society of Medical Physics, Apr 2011 (oral presentation, presenter)

20. Hwiyoung Kim, Yunseok Choi, So-Yeon Park, Yang-Kyun Park, and Sung-Joon Ye, “MOSFET Dosimetry for Evaluation of Gonad Shielding during Radiotherapy", Korean Association of Radiation Protection Annual Spring Symposium and Workshop, Apr 2011 (oral presentation, presenter, best paper award)

21. Hwiyoung Kim, Yang-Kyun Park, Il Han Kim, and Sung-Joon Ye, "Optical Image-guided Radiotherapy System for Head and Neck Cancer Patients during Immobilization with Thermoplastic Mask: Feasibility Study", The 28th Annual Meeting of the Korean Society for Radiation Oncology, Oct 2010 (poster presentation)

22. Yang-Kyun Park, Hwiyoung Kim, Siyong Kim, Il-Han Kim, and Sung-Joon Ye, "Feasibility Study for Feedback Guided Voluntary Breath Hold using Stereo Camera-based Monitoring System", The 28th Annual Meeting of the Korean Society for Radiation Oncology, Oct 2010 (poster presentation)

Book Chapters (in Korean)

1. 서준범 외 공저, “의료인공지능 백서,” 대한의료인공지능학회, 창의와지식 (ISBN: 979-11-6003-205-5, 2020)

2. 임태환 외 공저, “인공지능: 보건의료전문인을 위한 길라잡이,” 군자출판사 (ISBN: 979-11-5955-565-7, 2020)

3. 전종홍 외 공저, “감염병 재난 대응을 위한 의료인공지능 기술표준 동향,” 한국전자통신연구원 (ISBN: 978-89-5519-278-0, 2020)