An-ran Ran

According to our database, An-ran Ran authored at least 12 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A test-time clinically adaptive framework for detecting multiple fundus diseases harnessing ophthalmic foundation models.

Hongyang Jiang, Zirong Liu, Mengdi Gao, Bowen Xu, Danqi Fang, Chunwen Zheng, Ruyue Shen, Truong X. Nguyen, An-ran Ran, Clement C. Tham, Qinghua He, Simon K. H. Szeto, Carol Y. Cheung

npj Digit. Medicine, 2026

2025

Reference-Based OCT Angiogram Super-Resolution With Learnable Texture Generation.

Yuyan Ruan, Dawei Yang, Ziqi Tang, An-ran Ran, Jiguang Wang, Carol Y. Cheung, Hao Chen

IEEE Trans. Neural Networks Learn. Syst., July, 2025

Unpaired Optical Coherence Tomography Angiography Image Super-Resolution via Frequency-Aware Inverse-Consistency GAN.

Weiwen Zhang, Dawei Yang, Haoxuan Che, An-ran Ran, Carol Y. Cheung, Hao Chen

IEEE J. Biomed. Health Informatics, April, 2025

A graph neural network-based multispectral-view learning model for diabetic macular ischemia detection from color fundus photographs.

Qinghua He, Hongyang Jiang, Danqi Fang, Dawei Yang, Truong X. Nguyen, An-ran Ran, Clement C. Tham, Simon K. H. Szeto, Sobha Sivaprasad, Carol Y. Cheung

CoRR, February, 2025

HRDC challenge: a public benchmark for hypertension and hypertensive retinopathy classification from fundus images.

Bo Qian, Xiangning Wang, Zhouyu Guan, Dawei Yang, An-ran Ran, Tingyao Li, Zheyuan Wang, Yang Wen, Xinming Shu, Jinyang Xie, Shichang Liu, Guanyu Xing, Julio Silva-Rodríguez, Riadh Kobbi, Ping Li, Tingli Chen, Lei Bi, Jinman Kim, Weiping Jia, Huating Li, Jing Qin, Ping Zhang, Ching-Yu Cheng, Pheng-Ann Heng, Tien Yin Wong, Carol Y. Cheung, Yih-Chung Tham, Nadia Magnenat-Thalmann, Bin Sheng

Vis. Comput., January, 2025

Matters arising: Utilizing foundation models for developing clinical tools.

Hin Yin Chan, Chak Fung Ng, Oscar Yui Ming Choi, An-ran Ran, Carol Y. Cheung

npj Digit. Medicine, 2025

2023

Reference-based OCT Angiogram Super-resolution with Learnable Texture Generation.

Yuyan Ruan, Dawei Yang, Ziqi Tang, An-ran Ran, Carol Y. Cheung, Hao Chen

CoRR, 2023

LVCL: Label-Volume Contrastive Learning for Multi-Label Classification of Retinal Oct Volumes.

Yuhan Zhang, Ziqi Tang, Dawei Yang, An-ran Ran, Carol Y. Cheung, Pheng-Ann Heng

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2020

UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification.

Xi Wang, Fangyao Tang, Hao Chen, Luyang Luo, Ziqi Tang, An-ran Ran, Carol Y. Cheung, Pheng-Ann Heng

IEEE J. Biomed. Health Informatics, 2020

Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning.

Xi Wang, Hao Chen, An-ran Ran, Luyang Luo, Poemen P. Chan, Clement C. Tham, Robert T. Chang, Suria S. Mannil, Carol Y. Cheung, Pheng-Ann Heng

Medical Image Anal., 2020

2019

Detecting Glaucoma Using 3D Convolutional Neural Network of Raw SD-OCT Optic Nerve Scans.

Erfan Noury, Suria S. Mannil, Robert T. Chang, An-ran Ran, Carol Y. Cheung, Suman S. Thapa, Harsha L. Rao, Srilakshmi Dasari, Mohammed Riyazuddin, Sriharsha Nagaraj, Reza Zadeh

CoRR, 2019

Unifying Structure Analysis and Surrogate-Driven Function Regression for Glaucoma OCT Image Screening.

Xi Wang, Hao Chen, Luyang Luo, An-ran Ran, Poemen P. Chan, Clement C. Tham, Carol Y. Cheung, Pheng-Ann Heng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019