Guangzhou An - Concepedia

Author

Guangzhou An

RIKEN Center for Advanced Photonics ORCID

Also Known As

Guangzhou An

Publications

530

Citations

H-Index

Concepts

All Affiliations

RIKEN Center for Advanced Photonics Topcon (Japan)Tohoku University RIKEN Center for Biosystems Dynamics Research Kobe University

About

Guangzhou An is an author at RIKEN Center for Advanced Photonics specializing in ophthalmology, computer vision, and machine vision.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	2	2	216
2	Biomedical Imaging	2	2	216
3	Medicine	1	1	193
4	Biostatistics	1	1	193
5	Data Science	1	1	23

Guangzhou An

Publications

522

Citations

H-Index

Page 1

	Year	Citations
Glaucoma Diagnosis with Machine Learning Based on Optical Coherence Tomography and Color Fundus Images Guangzhou An, Kazuko Omodaka, Kazuki Hashimoto, Journal of Healthcare Engineering Convolutional Neural NetworkEngineeringMachine LearningOct DataOptic Nerve	2019	193
Optical Coherence Tomography-Based Deep-Learning Models for Classifying Normal and Age-Related Macular Degeneration and Exudative and Non-Exudative Age-Related Macular Degeneration Changes Naohiro Motozawa, Guangzhou An, Seiji Takagi, Ophthalmology and Therapy	2019	116
Comparison of Machine-Learning Classification Models for Glaucoma Management Guangzhou An, Kazuko Omodaka, Satoru Tsuda, Journal of Healthcare Engineering	2018	70
Hierarchical deep learning models using transfer learning for disease detection and classification based on small number of medical images Guangzhou An, Masahiro Akïba, Kazuko Omodaka, Scientific Reports	2021	69
Classification of optic disc shape in glaucoma using machine learning based on quantified ocular parameters Kazuko Omodaka, Guangzhou An, Satoru Tsuda, PLoS ONE	2017	41
Deep Learning Classification Models Built with Two-step Transfer Learning for Age Related Macular Degeneration Diagnosis Guangzhou An, Masahiro Akïba, Hideo Yokota, Convolutional Neural NetworkEngineeringMachine LearningTwo-step Transfer LearningDeep Learning Models	2019	23
Artificial intelligence for classifying uncertain images by humans in determining choroidal vascular running pattern and comparisons with automated classification between artificial intelligence Shozo Sonoda, Hideki Shiihara, Hiroto Terasaki, PLoS ONE	2021	10

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