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김유철,김광수,Yu Cheol Kim,Kwang Soo Kim 대한안과학회 2007 대한안과학회지 Vol.48 No.8
Purpose: This study was designed to evaluate the effect of internal limiting membrane (ILM) peeling in the surgical management of idiopathic macular epiretinal membrane (ERM). Method: The records of 36 patients (36 eyes) with idiopathic macular ERM who had undergone pars plana vitrectomy with removal of the ERM were retrospectively reviewed. The patients were divided into two groups: eyes with (18 eyes) or without (18 eyes) ILM peeling. The best corrected visual acuity (BCVA), recurrence of ERM, persistence of retinal wrinkling, as well as the complications and improvement of visual acuity of the two groups were compared. Results: The mean pre-operative BCVA for the two groups was 0.29 in the group with ILM peeling and 0.26 in the group without ILM peeling, while the mean post-operative BCVA was 0.59 and 0.50, respectively. Although the post-operative BCVA significantly improved in both groups (P=0.001), there was no statistically significant difference between the two groups (P>0.05). However, the persistence of retinal wrinkling greatly decreased in the group with ILM peeling, and ERM recurred in two cases in the group without ILM peeling. Conclusion: ILM peeling in the surgical management of idiopathic macular ERM does not affect the postoperative results of visual acuity and complications, except for the persistence of retinal wrinkling and recurrence.
김유철,김광수,황승현,연성모,Kim, Yoo-Chul,Kim, Kwang-Soo,Hwang, Seung-Hyun,Yeon, Seong Mo 대한조선학회 2022 大韓造船學會 論文集 Vol.59 No.4
In the design stage of hull forms, a fast prediction method of resistance performance is needed. In these days, large test matrix of candidate hull forms is tested using Computational Fluid Dynamics (CFD) in order to choose the best hull form before the model test. This process requires large computing times and resources. If there is a fast and reliable prediction method for hull form performance, it can be used as the first filter before applying CFD. In this paper, we suggest the offset-based performance prediction method. The hull form geometry information is applied in the form of 2D offset (non-dimensionalized by breadth and draft), and it is studied using Convolutional Neural Network (CNN) and adapted to the model test results (Residual Resistance Coefficient; C<sub>R</sub>). Some additional variables which are not included in the offset data such as main dimensions are merged with the offset data in the process. The present model shows better performance comparing with the simple regression models.
제3차 대한간학회 춘계학술대회 초록집 : 포스터연제 토의 ; 반복되는 저혈당성 혼수로 발현된 간세포암 1예
김재학 ( Kim Jae Hag ),홍현주 ( Hong Hyeon Ju ),송은정 ( Song Eun Jeong ),양정훈 ( Yang Jeong Hun ),김경현 ( Kim Gyeong Hyeon ),정숙향 ( Jeong Sug Hyang ),김유철 ( Kim Yu Cheol ),김창민 ( Kim Chang Min ),이진오 ( Lee Jin O ),강태 대한간학회 1997 Clinical and Molecular Hepatology(대한간학회지) Vol.3 No.2(S)