Kayoung Yi

Prof. Dr. Kayoung Yi

Hallym University College of Medicine, Kangnam Sacred Heart Hospital
orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2005 in Korean Journal of Ophthalmology
Verified
Journal Article
Open access
PDF file
HPHye Young Park
Hye Young Park
Kayoung YiKayoung Yi
Kayoung Yi
HKHa Kyoung Kim
Ha Kyoung Kim
Park HY, et al. Korean J Ophthalmol. 2005 Jun;19(2):122-127. http://dx.doi.org/10.3341/kjo.2005.19.2.122

1 June 2009 in Journal of Glaucoma
Verified
Journal Article
Closed access
Kayoung YiKayoung Yi
Kayoung Yi
MMMircea Mujat
Mircea Mujat
WSWei Ma Sun
Wei Ma Sun
DBDaina Bs Burnes
Daina Bs Burnes
MLMark A. Latina
Mark A. Latina
TCTeresa C. Chen
Teresa C. Chen
Objective To demonstrate a new algorithm that can determine the shape, location, and volume of optic nerve head drusen (ONHD), which were imaged with spectral domain optical coherence tomography (SDOCT). Methods One exenteration patient and 4 glaucoma patients with bilateral ONHD were recruited from the Massachusetts Eye and Ear Infirmary and from a private practice office. Images were obtained using an experimental SDOCT system developed at the Wellman Center for Photomedicine, Massachusetts General Hospital. With axial resolutions of about 6 μm, SDOCT can obtain 2-dimensional images in 1/29 of a second, compared with commercially available time domain OCT instruments with 10 μm resolution images in 1.28 seconds. The volumes of ONHD were calculated with a new algorithm and were then correlated with visual field mean deviation. Results SDOCT can display 2-dimensional images comparable with histology and 3-dimensional videos of ONHD. ONHD are signal-poor regions with high-signaled borders. Larger ONHD volumes are directly correlated with larger mean deviation absolute values on Humphrey visual field testing. Conclusions SDOCT is a potentially better technique for ONHD imaging and may improve the diagnosis and management of patients with both OHND and glaucoma.

1 November 2015 in American Journal of Ophthalmology
Verified
Journal Article
Closed access
CFChi Shian Feng
Chi Shian Feng
KJKi Won Jin
Ki Won Jin
Kayoung YiKayoung Yi
Kayoung Yi
DCDong Gyu Choi
Dong Gyu Choi

3 September 2018 in BMC Ophthalmology
Verified
Journal Article
Open access
PDF file
JHJin Sun Hwang
Jin Sun Hwang
YLYoon Pyo Lee
Yoon Pyo Lee
SBSeok Hyun Bae
Seok Hyun Bae
HKHa Kyoung Kim
Ha Kyoung Kim
Kayoung YiKayoung Yi
Kayoung Yi
YSYoung Joo Shin
Young Joo Shin
A cataract is a common cause of vision impairment that requires surgery in older subjects. The Optical Quality Analysis System (OQAS, Visiometrics SL, Terrassa, Spain) assesses the optical quality of the eye in cataract patients. This study shows the role of the optical quality evaluation system for decision-making in cataract surgery. We investigated the clinical utility of the OQAS for decision-making in cataract surgery. Sixty-seven eyes from 67 patients undergoing cataract surgery and 109 eyes from 109 control subjects were compared. The best corrected visual acuity (BCVA) was measured. The objective scatter index (OSI), modulation transfer function (MTF), Strehl ratio, predicted visual acuity (PVA) 100%, PVA 20%, and PVA 10% were measured using the OQAS. The sensitivity and specificity of the different parameters were analyzed using the receiver operating characteristic (ROC) curve. The main parameters measured were sensitivity and specificity. The BCVA, OSI, PVA 100%, PVA 20%, and PVA 10% were higher in the cataract group compared to those in the control group, while the MTF and Strehl ratios were lower (p < 0.001 for all). ROC analysis showed that the OSI had the largest area under the curve and that the sensitivity and specificity of the OSI were 83.9 and 84.6%, respectively, at the optimal cut-off point of 2.35. The MTF, OSI, Strehl ratio, PVA 100%, PVA 20% and PVA 10% may be useful parameters for preoperative decision-making in cataract surgery. The OSI appears to be the most effective parameter for this purpose.

1 January 2016 in Korean Journal of Ophthalmology
Verified
Journal Article
Open access
PDF file
SBSeok Hyun Bae
Seok Hyun Bae
SKShin Hee Kang
Shin Hee Kang
CFChi Shian Feng
Chi Shian Feng
JPJoohyun Park
Joohyun Park
JJJae Hoon Jeong
Jae Hoon Jeong
Kayoung YiKayoung Yi
Kayoung Yi
Bae SH, et al. Korean J Ophthalmol. 2016 Oct;30(5):335-343. https://doi.org/10.3341/kjo.2016.30.5.335

21 August 2024 in IEEE Journal of Biomedical and Health Informatics
Verified
Journal Article
Closed access
SKSehui Kim
Sehui Kim
HCHyungjin Chung
Hyungjin Chung
SPSe Hie Park
Se Hie Park
ECEui-Sang Chung
Eui-Sang Chung
Kayoung YiKayoung Yi
Kayoung Yi
JYJong Chul Ye
Jong Chul Ye
We propose FD3, a fundus image enhancement method based on direct diffusion bridges, which can cope with a wide range of complex degradations, including haze, blur, noise, and shadow. We first propose a synthetic forward model through a human feedback loop with board-certified ophthalmologists for maximal quality improvement of low-quality in-vivo images. Using the proposed forward model, we train a robust and flexible diffusion-based image enhancement network that is highly effective as a stand-alone method, unlike previous diffusion model-based approaches which act only as a refiner on top of pre-trained models. Through extensive experiments, we show that FD3 establishes superior quality not only on synthetic degradations but also on in vivo studies with low-quality fundus photos taken from patients with cataracts or small pupils. To promote further research in this area, we open-source all our code and data used for this research at https://github.com/heeheee888/FD3 .