Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Anran, Ran"'
Autor:
Dinah Chen, Emma Anran Ran, Ting Fang Tan, Rithambara Ramachandran, Fei Li, Carol Cheung, Siamak Yousefi, Clement C.Y. Tham, Daniel S.W. Ting, Xiulan Zhang, Lama A. Al-Aswad
Publikováno v:
Asia-Pacific Journal of Ophthalmology. 12:80-93
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e643752eb3557d9e874ddefdb3500a62
https://doi.org/10.1097/apo.0000000000000596
https://doi.org/10.1097/apo.0000000000000596
Autor:
Dawei Yang, Ziqi Tang, Anran Ran, Truong X. Nguyen, Simon Szeto, Jason Chan, Cherie Y. K. Wong, Vivian Hui, Ken Tsang, Carmen K. M. Chan, Clement C. Tham, Sobha Sivaprasad, Timothy Y. Y. Lai, Carol Y. Cheung
Publikováno v:
JAMA Ophthalmology.
ImportanceThe presence of diabetic macular ischemia (DMI) on optical coherence tomography angiography (OCTA) images predicts diabetic retinal disease progression and visual acuity (VA) deterioration, suggesting an OCTA-based DMI evaluation can furthe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6def1c574f4b26d3aacfce7421d6068
https://doi.org/10.1001/jamaophthalmol.2023.1821
https://doi.org/10.1001/jamaophthalmol.2023.1821
Autor:
Gen-Min Lin, Mei-Juan Chen, Chia-Hung Yeh, Yu-Yang Lin, Heng-Yu Kuo, Min-Hui Lin, Ming-Chin Chen, Shinfeng D. Lin, Ying Gao, Anran Ran, Carol Y. Cheung
Publikováno v:
Journal of Ophthalmology, Vol 2018 (2018)
Entropy images, representing the complexity of original fundus photographs, may strengthen the contrast between diabetic retinopathy (DR) lesions and unaffected areas. The aim of this study is to compare the detection performance for severe DR betwee
Externí odkaz:
https://doaj.org/article/584ed602965e4af88c63899477275286
Publikováno v:
Current opinion in ophthalmology. 33(5)
Retinal microvasculature assessment has shown promise to enhance cardiovascular disease (CVD) risk stratification. Integrating artificial intelligence into retinal microvasculature analysis may increase the screening capacity of CVD risks compared wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea2d17f596b9c7ab663bded6ac322b91
https://pubmed.ncbi.nlm.nih.gov/35916571
https://pubmed.ncbi.nlm.nih.gov/35916571
Autor:
Carol Y. Cheung, Anran Ran
Publikováno v:
Asia-Pacific Journal of Ophthalmology. 10:253-260
Deep learning (DL) is a subset of artificial intelligence based on deep neural networks. It has made remarkable breakthroughs in medical imaging, particularly for image classification and pattern recognition. In ophthalmology, there are rising intere
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f7bd4b90cf54e49dbb8e9ea23dc92d8
https://doi.org/10.1097/apo.0000000000000405
https://doi.org/10.1097/apo.0000000000000405
Autor:
Liang Zhang, Fanny Yip, Carol Y. Cheung, Jerry Lok, Qianli Meng, Anran Ran, Jakob Grauslund, Jason C. K. Chan, Jian Shi, Fangyao Tang, Ziqi Tang, Zihan Sun, Simon Szeto, Martin Neumann Rasmussen, Dawei Yang
Publikováno v:
Yang, D, Sun, Z, Shi, J, Ran, A, Tang, F, Tang, Z, Lok, J, Szeto, S, Chan, J, Yip, F, Zhang, L, Meng, Q, Rasmussen, M, Grauslund, J & Cheung, C Y 2022, ' A multi-task deep-learning system for assessment of diabetic macular ischemia on optical coherence tomography angiography images ', Retina, vol. 42, no. 1, pp. 184-194 . https://doi.org/10.1097/IAE.0000000000003287
Purpose: We aimed to develop and test a deep-learning system to perform image quality and diabetic macular ischemia (DMI) assessment on optical coherence tomography angiography (OCTA) images. Methods: This study included 7,194 OCTA images with diabet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6a10ff1bd7b93c90d62991d252c2e0c
https://portal.findresearcher.sdu.dk/da/publications/3abe61ea-0164-42c4-adea-f355498c4c13
https://portal.findresearcher.sdu.dk/da/publications/3abe61ea-0164-42c4-adea-f355498c4c13
Autor:
Anran Ran, Carol Y. Cheung
Publikováno v:
Ophthalmology. 129(4)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b012eeb8eae071641b70452d1855f9f
https://pubmed.ncbi.nlm.nih.gov/35058070
https://pubmed.ncbi.nlm.nih.gov/35058070
Autor:
Gareth J. McKay, Dawei Yang, Kaiser Sham, Vincent Mok, Ching-Yu Cheng, Clement C Y Tham, Carol Y. Cheung, Tien Yin Wong, Vincent Yuen, Michael Williams, Anran Ran, Leopold Schmetterer, Jason C. S. Yam, Jian Shi, Victor T. T. Chan, Christopher Chen, Raymond H. Chan
Publikováno v:
Translational Vision Science & Technology
Yuen, V, Ran, A, Shi, J, Sham, K, Yang, D, Chan, V T T, Chan, R, Yam, J C, Tham, C C, McKay, G J, Williams, M A, Schmetterer, L, Cheng, C-Y, Mok, V, Chen, C L, Wong, T Y & Cheung, C Y 2021, ' Deep-Learning–Based Pre-Diagnosis Assessment Module for Retinal Photographs: A Multicenter Study ', Translational Vision Science & Technology, vol. 10, no. 11, 16 . https://doi.org/10.1167/tvst.10.11.16
Yuen, V, Ran, A, Shi, J, Sham, K, Yang, D, Chan, V T T, Chan, R, Yam, J C, Tham, C C, McKay, G J, Williams, M A, Schmetterer, L, Cheng, C-Y, Mok, V, Chen, C L, Wong, T Y & Cheung, C Y 2021, ' Deep-Learning–Based Pre-Diagnosis Assessment Module for Retinal Photographs: A Multicenter Study ', Translational Vision Science & Technology, vol. 10, no. 11, 16 . https://doi.org/10.1167/tvst.10.11.16
Purpose: Artificial intelligence (AI) deep learning (DL) has been shown to have significant potential for eye disease detection and screening on retinal photographs in different clinical settings, particular in primary care. However, an automated pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3757f74a0dd18215c1335da91613a20
http://europepmc.org/articles/PMC8444486
http://europepmc.org/articles/PMC8444486
Autor:
Anran, Ran, Carol Y, Cheung
Publikováno v:
Asia-Pacific journal of ophthalmology (Philadelphia, Pa.). 10(3)
Deep learning (DL) is a subset of artificial intelligence based on deep neural networks. It has made remarkable breakthroughs in medical imaging, particularly for image classification and pattern recognition. In ophthalmology, there are rising intere
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::732d7d01d6dff97c5f03a6dda26f72ad
https://pubmed.ncbi.nlm.nih.gov/34383717
https://pubmed.ncbi.nlm.nih.gov/34383717
Autor:
Ching-Yu Cheng, Anran Ran, Clement C Y Tham, Carol Y. Cheung, Yih Chung Tham, Poemen P. Chan, Tyler Hyungtaek Rim
Publikováno v:
Eye (Lond)
Deep learning (DL), a subset of artificial intelligence (AI) based on deep neural networks, has made significant breakthroughs in medical imaging, particularly for image classification and pattern recognition. In ophthalmology, applying DL for glauco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c9a8a866c518fe82a8872d8a1ecbaba
https://europepmc.org/articles/PMC7852526/
https://europepmc.org/articles/PMC7852526/