Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Jeong Mo Han"'
Autor:
Jeong Mo Han, Jinyoung Han, Junseo Ko, Juho Jung, Ji In Park, Joon Seo Hwang, Jeewoo Yoon, Jae Ho Jung, Daniel Duck-Jin Hwang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Age-related macular degeneration (AMD) is a major cause of blindness in developed countries, and the number of affected patients is increasing worldwide. Intravitreal injections of anti-vascular endothelial growth factor (VEGF) are the stand
Externí odkaz:
https://doaj.org/article/dd37fde25e4e4394833d897a87f7efa2
Autor:
Juho Jung, Jinyoung Han, Jeong Mo Han, Junseo Ko, Jeewoo Yoon, Joon Seo Hwang, Ji In Park, Gyudeok Hwang, Jae Ho Jung, Daniel Duck-Jin Hwang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Neovascular age-related macular degeneration (nAMD) can result in blindness if left untreated, and patients often require repeated anti-vascular endothelial growth factor injections. Although, the treat-and-extend method is becoming popular
Externí odkaz:
https://doaj.org/article/22ac9a423210466fae99680565f5fdad
Autor:
Jeewoo Yoon, Jinyoung Han, Junseo Ko, Seong Choi, Ji In Park, Joon Seo Hwang, Jeong Mo Han, Daniel Duck-Jin Hwang
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e48142 (2023)
BackgroundAlthough previous research has made substantial progress in developing high-performance artificial intelligence (AI)–based computer-aided diagnosis (AI-CAD) systems in various medical domains, little attention has been paid to developing
Externí odkaz:
https://doaj.org/article/f9b6cb09418447c49cae0dabc82193e7
Autor:
Junseo Ko, Jinyoung Han, Jeewoo Yoon, Ji In Park, Joon Seo Hwang, Jeong Mo Han, Kyu Hyung Park, Daniel Duck-Jin Hwang
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-8 (2022)
Abstract Central serous chorioretinopathy (CSC) is one of the most common macular diseases that can reduce the quality of life of patients. This study aimed to build a deep learning-based classification model using multiple spectral domain optical co
Externí odkaz:
https://doaj.org/article/58038c5d327c406b85917136571d3936
Autor:
Jinyoung Han, Seong Choi, Ji In Park, Joon Seo Hwang, Jeong Mo Han, Hak Jun Lee, Junseo Ko, Jeewoo Yoon, Daniel Duck-Jin Hwang
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract Neovascular age-related macular degeneration (nAMD) is among the main causes of visual impairment worldwide. We built a deep learning model to distinguish the subtypes of nAMD using spectral domain optical coherence tomography (SD-OCT) image
Externí odkaz:
https://doaj.org/article/0c2b2730b1f64f57a95c39a8ec4acba3
Autor:
Jeewoo Yoon, Jinyoung Han, Junseo Ko, Seong Choi, Ji In Park, Joon Seo Hwang, Jeong Mo Han, Kyuhwan Jang, Joonhong Sohn, Kyu Hyung Park, Daniel Duck-Jin Hwang
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract Central serous chorioretinopathy (CSC) is the fourth most common retinopathy and can reduce quality of life. CSC is assessed using optical coherence tomography (OCT), but deep learning systems have not been used to classify CSC subtypes. Thi
Externí odkaz:
https://doaj.org/article/1149b7b5d77742f6ae89fb9669fd6b18
Autor:
Migyeong Yang, Jinyoung Han, Ji In Park, Joon Seo Hwang, Jeong Mo Han, Jeewoo Yoon, Seong Choi, Gyudeok Hwang, Daniel Duck-Jin Hwang
Publikováno v:
Biomedicines, Vol 11, Iss 8, p 2238 (2023)
Myopic choroidal neovascularization (mCNV) is a common cause of vision loss in patients with pathological myopia. However, predicting the visual prognosis of patients with mCNV remains challenging. This study aimed to develop an artificial intelligen
Externí odkaz:
https://doaj.org/article/97abe70cb9fe4703803d3c206ec1df05
Autor:
Daniel Duck-Jin Hwang, Seong Choi, Junseo Ko, Jeewoo Yoon, Ji In Park, Joon Seo Hwang, Jeong Mo Han, Hak Jun Lee, Joonhong Sohn, Kyu Hyung Park, Jinyoung Han
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract This cross-sectional study aimed to build a deep learning model for detecting neovascular age-related macular degeneration (AMD) and to distinguish retinal angiomatous proliferation (RAP) from polypoidal choroidal vasculopathy (PCV) using a
Externí odkaz:
https://doaj.org/article/e2be79379c514647a6472ea4e41a0883
Autor:
Daniel Duck-Jin Hwang, Jeewoo Yoon, Jinyoung Han, Junseo Ko, Seong Choi, Ji In Park, Joon Seo Hwang, Jeong Mo Han
BACKGROUND Recent advancements in computer vision and deep learning techniques, deep neural networks have helped achieve expert-level performance in clinical diagnoses. OBJECTIVE This diagnostic study aimed to determine the usefulness of a proposed a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16da2282ac658f4d9c0c26ddd1e05b05
https://doi.org/10.2196/preprints.48142
https://doi.org/10.2196/preprints.48142
Autor:
Dong Ju Kim, Ki Won Jin, Jeong Mo Han, Seung Hyun Lee, Yong Seok Park, Joo Yong Lee, Eun Kyoung Lee, Jun Sung Lee, Seong Taeck Kim, Min Ho Shin, Christopher Seungkyu Lee, Hyun Ho Jung, Jae Yong Jang, Min Kim, Yung Hui Kim, Jae Hui Kim, Kyu Hyung Park, Sang Jun Park, Kwangsic Joo, Yong Sok Ji, Min Sagong, Se Joon Woo
Publikováno v:
Ophthalmologica.
Introduction: To determine the short-term real-world safety and efficacy of intravitreal brolucizumab injections in Korean patients with neovascular age-related macular degeneration (nAMD). Methods: This multicenter retrospective study involved 294 e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ad1915d4857964f9795446033615610
https://doi.org/10.1159/000529410
https://doi.org/10.1159/000529410