Ruogu Fang

CADA: Multi-scale Collaborative Adversarial Domain Adaptation for Unsupervised Optic Disc and Cup Segmentation

Oct 05, 2021
Peng Liu, Charlie T. Tran, Bin Kong, Ruogu Fang

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* arXiv admin note: text overlap with arXiv:1910.07638

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Regression and Learning with Pixel-wise Attention for Retinal Fundus Glaucoma Segmentation and Detection

Jan 06, 2020
Peng Liu, Ruogu Fang

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* MICCAI 2018 workshop challenge

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KRNET: Image Denoising with Kernel Regulation Network

Oct 20, 2019
Peng Liu, Xiaoxiao Zhou, Junyiyang Li, El Basha Mohammad D, Ruogu Fang

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Image Restoration Using Deep Regulated Convolutional Networks

Oct 19, 2019
Peng Liu, Xiaoxiao Zhou, Junyi Yang, El Basha Mohammad D, Ruogu Fang

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SDCNet: Smoothed Dense-Convolution Network for Restoring Low-Dose Cerebral CT Perfusion

Oct 18, 2019
Peng Liu, Ruogu Fang

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* The IEEE International Symposium on Biomedical Imaging (ISBI 2018)

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CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation

Oct 16, 2019
Peng Liu, Bin Kong, Zhongyu Li, Shaoting Zhang, Ruogu Fang

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* the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2019)

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REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs

Oct 08, 2019
José Ignacio Orlando, Huazhu Fu, João Barbossa Breda, Karel van Keer, Deepti R. Bathula, Andrés Diaz-Pinto, Ruogu Fang, Pheng-Ann Heng, Jeyoung Kim, JoonHo Lee, Joonseok Lee, Xiaoxiao Li, Peng Liu, Shuai Lu, Balamurali Murugesan, Valery Naranjo, Sai Samarth R. Phaye, Sharath M. Shankaranarayana, Apoorva Sikka, Jaemin Son, Anton van den Hengel, Shujun Wang, Junyan Wu, Zifeng Wu, Guanghui Xu, Yongli Xu, Pengshuai Yin, Fei Li, Xiulan Zhang, Yanwu Xu, Xiulan Zhang, Hrvoje Bogunović

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* Accepted for publication in Medical Image Analysis

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Wide Inference Network for Image Denoising via Learning Pixel-distribution Prior

Jun 03, 2018
Peng Liu, Ruogu Fang

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* There is a code issue that makes our work may be regarded as entirely out the way of the correct research direction. Therefore, we add the correction into abstract to answer the questions being often asked. Besides. we hope the most talent you may try to think about how to map the particular matrix to generative ones. Then, you may have a significant innovation published

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Learning Pixel-Distribution Prior with Wider Convolution for Image Denoising

Jul 28, 2017
Peng Liu, Ruogu Fang

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