Publications

Peer-Reviewed International Journal Publications2023

2024

H. Kim, S.K. Yoo, J.S. Kim, Y.T. Kim, J.W. Lee, C. Kim, C.S. Hong, H. Lee, M.C. Han, D.W. Kim, S.Y. Kim, T.M. Kim, W.H. Kim, J. Kong, Y.B. Kim  “Clinical feasibility of deep learning-based synthetic CT images from T2-weighted MR images for cervical cancer patients compared to MRCAT" Scientfic Reports  14 8504 (2024)

C.Kim, H.Kim, D. Jung, H. Kim, Y. Park, M. Han, C.S. Hong, H. Kim, H. Lee, J. Sung, D.W. Kim, J.S. Kim "Evaluation of the deliverability of dynamic conformal arc therapy (DCAT) by gantry wobble and its influence on dose " Scientific Reports  14 7134 (2024)

2023

H.Cho, J.S. Lee, J.S. Kim, W.S. Koom*, and  H.Kim* “Empowering vision transformer by network hyper-parameter selection for whole pelvis prostate planning target volume auto-segmentation” Cancers. 15(23):5507 (2023)         *Co-corresponding

B.S. Choi+, S.K. Yoo+, J. Moon, S. Y. Chung, J. Oh, S. Baek, Y. Kim,J. S. Chang, H. Kim*, J. S. Kim  “Acute coronary event (ACE) prediction following breast radiotherapy by features extracted from 3D CT, dose and cardiac structures” Med. Phys. 50(10):6409-6420 (2023)        *Corresponding

Byun, H. K., Chang, J. S., Kim, H., Kim, J., Han, M. C., Kim, S. Y., ... & Kim, Y. B. Cosmetic Outcome and Toxicity After Stereotactic Accelerated Partial Breast Irradiation in Early Breast Cancer: A Prospective Observational Cohort Study. International Journal of Radiation Oncology* Biology* Physics. 117(3), 690-700 (2023) 

Yang, G., Yoon, H. I., Lee, J., Kim, J., Kim, H., Cho, J., ... & Kim, K. H., Risk of on-treatment lymphopenia is associated with treatment outcome and efficacy of consolidation immunotherapy in patients with non-small cell lung cancer treated with concurrent chemoradiotherapy. Radiotherapy and Oncology, 189:109934. (2023) 

J. Lee, J. Chun, H. Kim, J. S. Kim and S. Y. Park, Development and evaluation of an integrated model based on a deep segmentation network and demography-added radiomics algorithm for segmentation and diagnosis of early lung adenocarcinoma. Computerized Medical Imaging and Graphics, 109, 102299 (2023) 

H.Shin, Y.I. Park, M.S. Cho, J. Son, H.B. Shin, M.C. Han, H. Kim, H. Lee, D.W. Kim, J.S. Kim, C.S. Hong, Novel framework for determining TPS-calculated dose corresponding to detector locations using 3D camera in in-vivo surface dosimetry, Phys. Med. Biol. 68(5): 05511 (2023) 

Y.I. Park, S.H. Choi, C-S. Hong, M-S. Cho, J Son, M.C. Han, H. Kim, D.W. Kim, J.S. Kim, “A new approach to quantify and grade radiation dermatitis using deep-learning segmentation in skin photographsClin. Oncol. 35(1):e10-e19 (2023) 

Y.H. Yoon, H-B. Shin, M.C. Han, H. Kim, D.W. Kim, C-S. Hong, J. Kim, J.S. Kim, “Development of Automated Delivery Quality Assurance Analysis Software for Helical Tomotherapy”, Technology in Cancer Research & Treatment, 22 (2023) 

Y.B. Kim, H. Byun, C.W. Wee, H. Kim, S. Kim, G. Yang, J. Kim, S.J. Park, J.Y. Lee, “Study protocol for prospective multi-institutional phase III trial of standard of care therapy with or without stereotactic ablative radiation therapy for recurrent ovarian cancer (SABR-ROC)”, BMC Cancer 23 1014 (2023) 

2022

S.K. Yoo, H. Kim*, B.S. Choi, I. Park, and J.S. Kim*, “Generation and evaluation of synthetic computed tomography (CT) from cone-beam CT (CBCT) by incorporating feature-driven loss into intensity-based loss functions in deep convolutional neural network” Cancers 14(18): 4534 (2022)      *Co-corresponding

H. Kim, S.K. Yoo, D.W. Kim, H. Lee, C.S. Hong, M.C. Han, and J.S. Kim “Metal Artifact Reduction in kV CT Images throughout Two-Step Sequential Networks by Combining Deep Convolution Neural Network and Multi-Modal Imaging (MARTIAN)”, Scientific Reports 12 20823 (2022)

C. Kim, H. Kim, S.W. Kim, Y. Goh, M.J Park, H. Kim et al, “A study of quantitative indicators for slice sorting in cine-mode 4DCT”, PLOS ONE 17(8) e0272639 (2022)

C. Kim, M. Han, Y.K. Lee, H.B. Shin, H. Kim, and J.S. Kim, “Comprehensive clinical evaluation ofTomoEQA for patient-specific pre-treatment quality assurance in helical tomotherapy”, Radiat Oncol 17, 177 (2022)

Y.I. Park, S.H. Choi, C.S. Hong, M.S. Cho, J. Son, J.W. Jang, J. Kim, H. Kim, D.W. Kim, and J.S. Kim, “A pilot study of a novel method to visualize three-dimensional dose distribution on skin surface images to evaluate radiation dermatitis”, Scientific Reports 12, 2799 (2022) 

Han MC, Kim J, Hong C-S, Chang KH, Han S.C. Park K, D.W. Kim, H. Kim, et al. Performance Evaluation of Deformable Image Registration Algorithms Using Computed Tomography of Multiple Lung Metastases. Technology in Cancer Research & Treatment. January (2022) 

Yoo SK, Kim TH, Chun J, Choi BS, Kim H, Yang S, Yoon HI, Kim JS. Deep-Learning-Based Automatic Detection and Segmentation of Brain Metastases with Small Volume for Stereotactic Ablative Radiotherapy. Cancers. 14(10):2555..(2022) 

Kim M, Hwang U-J, Park K, Kim D, Kim HS, Choi SH, Jeong JH, Shin D, Lee SB, Kim J-Y, Kim TH, Baek HJ, Kim H, Kim K, Kim SS, Lim YK. Dose Profile Modulation of Proton Minibeam for Clinical Application. Cancers. 14(12):2888. (2022) 

Chun, J., Chang, J.S., Oh, C. et al. Synthetic contrast-enhanced computed tomography generation using a deep convolutional neural network for cardiac substructure delineation in breast cancer radiation therapy: a feasibility study. Radiat Oncol 17, 83 (2022). 

2021

H. Kim, Y. Goh, D. Kim, J.S. Kim, and Y.K. Lim, “Integration of rotatable tandem applicator to conventional ovoid applicator toward complete framework of intensity modulated brachytherapy (IMBT) for cervical cancer”, Physica Medica 91:131-139 (2021) 

H.K. Kang, H. Kim, C.S. Hong, J. Kim, J.S. Kim, and D.W. Kim, “Development and performance of wearable respiratory self-training system using patch type magnetic sensor”, Front. Oncol. 11: 2930 (2021) 

M.C. Han, K. H. Chang, J. Kim, S.C. Han, K. Park, D. W. Kim, H. Kim, and J.S. Kim, “TomoEQA: Dose verification for patient-specific quality assurance in helical tomotherapy using an exit detector”, Physica Medica 82:1-6 (2021) 

S.C. Han, J. Kim, M.C. Han, K.H. Chang, K. Park, H. Kim, D.W. Kim, J.S. Kim, “Monitoring beam-quality constancy considering uncertainties associated with ionization chambers in Daily QA3 device”, PLOS ONE 16(2):e0246845 (2021) 

J. Lee, B. Bartholmai, T. Peikert, J. Chun, H. Kim, S.Y. Park, and J.S. Kim, “Evaluation of Computer-Aided Nodule Assessment and Risk Yield (CANARY) in Korean patients for prediction of invasiveness of ground-glass opacity nodule”, PLOS ONE 16(6):e0253204 (2021) 

2020

K.H. Chang, Y.H. Lee, B.H. Park, M.C. Han, J. Kim, H. Kim, M. Cho, H. Kang, H. Lee, D.W. Kim, K.W. Pakr, J. Cho, Y.B. Kim, J.S. Kim, C.S. Hong, “Statistical Analysis of Treatment Planning Parameters for Prediction of Deliver Quality Assurance Failure for Helical Tomotherapy”, Techno Cancer Res T 19 Dec 1 (2020) 

D.W.Kim, J. Sung, J. Son, H. Shin, M.J. Kim, Y.Y. Noh, H. Kim, M.C. Han, J. Kim, S.C. Han, K.H. Chang, H. Kim, K. Park, M. Yoon, J.S. Kim, and D. Shin, “Sensitivity of radio-photoluminescence glass dosimeters to accumulated doses”, PLOS ONE 15(12):e0234829 (2020) 

K.H. Chang, J.S. Chang, K. Park, S.Y. Chung, S.Y. Kim, R.H. Park, M.C. Han, J. Kim, H. Kim, H. Lee, D.W. Kim, Y.B. Kim, J.S. Kim, and C. Hong, “A Retrospective Dosimetric Analysis of the New ESTRO-ACROP Target Volume Delineation Guidelines for Postmastectomy Volumetric Modulated Arc Therapy After Implant-Based Immediate Breast Reconstruction”, Front Oncol.10, 578921 (2020) 

H. Kim*, J. Jung*, J. Lee, J. Kim, J. Kwak, B. Cho, and S. Yoon, “Abdominal multi-organ autosegmentation with 3D-patch based deep convolutional neural network”, Scientific Reports 10, 6204 (2020)     *Equally contributed

H. Kim, YK Lim, Y. Goh, C. Jeong, B. Cho, UJ Hwang, SH Choi, and J. Kwak,Plan optimization with L0-norm and group sparsity constraints for a new rotational, intensity-modulated brachytherapy for cervical cancer”, PLOS ONE 15(7): e0236585 (2020)

Before joining Yonsei University (Selected)

H. Lee, H. Kim, J. Kwak, YS Kim, SW Lee, S. Cho, and B. Cho, “Fluence-map generation for prostate intensity-modulated radiotherapy planning using a deep-neural-network”, Scientific Reports 9, 15671 (2019)

H. Kim, J. Kwak, C. Jeong, S. Kim, S. Ahn, E. Choi, and B. Cho “Automated Field-in-Field (FIF) plan framework combining scripting application programming interface and user-executed program for breast forward IMRT” Techno Cancer Res T 17 Nov 1 (2018)

S. Lee, H. Kim, Y. Ji, B. Cho, SS. Kim, J Jung, J. Kwak, SW. Lee, JH. Kim, and SM. Yoon “Evaluation of hepatic toxicity after repeated stereotactic body radiation therapy for recurrent hepatocellular carcinoma using deformable image registration” Scientific Reports 8, 16224 (2018)

J. Jung*, H. Kim*, S. Yoon, B. Cho, Y. Kim, J. Kwak, and J. Kim, “Targeting Accuracy of Image guided Stereotactic Body Radiation Therapy for Hepatocellular Carcinoma in Real-Life Practice: in vivo Dosimetry using Hepatic Parenchymal Changes on Gd-EOB-DTPA-enhanced Magnetic Resonance Images” Int J Radiat Oncol Biol Phys 102(4), 867-874 (2018)       *Equally contributed

H. Kim, J. Chen, J. Phillips, J. Pukala, S.S. Yom, and N. Kirby, “Validating dose uncertainty estimated produced by AUTODIRECT: an automated program to evaluate deformable image registration accuracy,” Technol. Cancer. Res. Treat, May 11(2017)

H. Kim, J. Chen, A. Wang, C. Chuang, M. Held, and J. Pouliot, “Non-local total-variation (NLTV) combined with reweighted L1-norm for compressed sensing CT reconstruction” Phys. Med. Biol. 61 6878 (2016)

D. Saenz, H. Kim, J. Chen, S. Stathakis, and N. Kirby, “The level of detail required in a deformable phantom to accurately perform quality assurance of deformable image registration,” Phys. Med. Biol. 61 6269 (2016)

N. Kirby, J. Chen, H. Kim, O. Morin, K. Nie, and J. Pouliot, “An automated deformable image registration evaluation of confidence tool,” Phys. Med. Biol. 61 N203-214 (2016)

H. Kim, R. Lee, R. Li, and L. Xing, “Beam’s-eye-view dosimetrics (BEVD) guided station parameter optimized radiation therapy (SPORT) planning by reweighted total-variation minimization,” Phys. Med. Biol. 60 N71-82 (2015)

H. Kim, S. Becker, R. Lee, S. Lee, S. Shin, E. Candes, L. Xing, and R. Li, “Improving the IMRT delivery efficiency with reweighted L1-minimization for the inverse planning,” Med. Phys. 40, 071719 (2013)


H. Kim, R. Li, R. Lee, T. Goldstein, S. Boyd, E. Candes, and L. Xing, "Dose optimization with firstorder total-variation minimization for dense angularly sampled and sparse intensity modulated radiation therapy (DASSIM-RT)”, Med. Phys. 39, 4316-4327 (2012)


H. Kim, T. Suh, R. Lee, L. Xing, and R. Li, “Efficient IMRT inverse planning with a new L1-solver: template for first-order conic solver”, Phys. Med. Biol. 57, 4139-4153 (2012)