Ruogu Fang

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 56

Top Topics

Quality Assessment

Diabetic Retinopathy

Top Venues

Medical Image Anal.

Publications

Tianqi Liu, Hong Huang, Zhijun Lei, Ruogu Fang, Dapeng Oliver Wu
Texture and motion aware perception in-loop filter for AV1. J. Vis. Commun. Image Represent. 98 (2024)
Chaoyue Sun, Yiyang Liu, Christina Parisi, Rebecca Fisk-Hoffman, Marco Salemi, Ruogu Fang, Brandi Danforth, Mattia Prosperi, Simone Marini
Learning on Forecasting HIV Epidemic Based on Individuals' Contact Networks. BIOSTEC (2) (2024)
Qiaosi Tang, Ranjala Ratnayake, Gustavo de M. Seabra, Zhe Jiang, Ruogu Fang, Lina Cui, Yousong Ding, Tamer Kahveci, Jiang Bian, Chenglong Li, Hendrik Luesch, Yanjun Li
Morphological profiling for drug discovery in the era of deep learning. Briefings Bioinform. 25 (4) (2024)
Joseph Cox, Peng Liu, Skylar E. Stolte, Yunchao Yang, Kang Liu, Kyle B. See, Huiwen Ju, Ruogu Fang
BrainFounder: Towards Brain Foundation Models for Neuroimage Analysis. CoRR (2024)
Wasif Khan, Seowung Leem, Kyle B. See, Joshua K. Wong, Shaoting Zhang, Ruogu Fang
A Comprehensive Survey of Foundation Models in Medicine. CoRR (2024)
Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew Hale, Ruogu Fang
DOMINO++: Domain-aware Loss Regularization for Deep Learning Generalizability. CoRR (2023)
Charlie T. Tran, Kai Shen, Kevin Liu, Ruogu Fang
Deep Learning Predicts Prevalent and Incident Parkinson's Disease From UK Biobank Fundus Imaging. CoRR (2023)
Cameron Celeste, Dion Ming, Justin Broce, Diandra P. Ojo, Emma Drobina, Adetola F. Louis-Jacques, Juan E. Gilbert, Ruogu Fang, Ivana K. Parker
Ethnic disparity in diagnosing asymptomatic bacterial vaginosis using machine learning. npj Digit. Medicine 6 (2023)
Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew Hale, Ruogu Fang
DOMINO: Domain-aware Loss for Deep Learning Calibration. CoRR (2023)
Hong Huang, Lan Zhang, Chaoyue Sun, Ruogu Fang, Xiaoyong Yuan, Dapeng Wu
Distributed Pruning Towards Tiny Neural Networks in Federated Learning. ICDCS (2023)
Qiaosi Tang, Ranjala Ratnayake, Gustavo de M. Seabra, Zhe Jiang, Ruogu Fang, Lina Cui, Yousong Ding, Tamer Kahveci, Jiang Bian, Chenglong Li, Hendrik Luesch, Yanjun Li
Morphological Profiling for Drug Discovery in the Era of Deep Learning. CoRR (2023)
Nooshin Yousefzadeh, Charlie T. Tran, Adolfo Ramirez-Zamora, Jinghua Chen, Ruogu Fang, My T. Thai
LAVA: Granular Neuron-Level Explainable AI for Alzheimer's Disease Assessment from Fundus Images. CoRR (2023)
Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew Hale, Ruogu Fang
DOMINO++: Domain-Aware Loss Regularization for Deep Learning Generalizability. MICCAI (4) (2023)
Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew Hale, Ruogu Fang
DOMINO: Domain-aware loss for deep learning calibration. Softw. Impacts 15 (2023)
Zehao Yu, Xi Yang, Gianna L. Sweeting, Yinghan Ma, Skylar E. Stolte, Ruogu Fang, Yonghui Wu
Identify diabetic retinopathy-related clinical concepts and their attributes using transformer-based natural language processing methods. BMC Medical Informatics Decis. Mak. (3) (2022)
Hong Huang, Lan Zhang, Chaoyue Sun, Ruogu Fang, Xiaoyong Yuan, Dapeng Wu
FedTiny: Pruned Federated Learning Towards Specialized Tiny Models. CoRR (2022)
Peng Liu, Charlie T. Tran, Bin Kong, Ruogu Fang
CADA: Multi-scale Collaborative Adversarial Domain Adaptation for unsupervised optic disc and cup segmentation. Neurocomputing 469 (2022)
Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew Hale, Ruogu Fang
DOMINO: Domain-aware Model Calibration in Medical Image Segmentation. CoRR (2022)
Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew Hale, Ruogu Fang
DOMINO: Domain-Aware Model Calibration in Medical Image Segmentation. MICCAI (5) (2022)
Zehao Yu, Xi Yang, Yiqing Chen, Ruogu Fang, William R. Hogan, Yan Gong, Yonghui Wu
Identify Cancer Patients at Risk for Heart Failure using Electronic Health Record and Genetic Data. ICHI (2022)
Kyle B. See, David J. Arpin, David E. Vaillancourt, Ruogu Fang, Stephen A. Coombes
Unraveling somatotopic organization in the human brain using machine learning and adaptive supervoxel-based parcellations. NeuroImage 245 (2021)
Zehao Yu, Xi Yang, Gianna L. Sweeting, Yinghan Ma, Skylar E. Stolte, Ruogu Fang, Yonghui Wu
Identify Diabetic Retinopathy-related Clinical Concepts Using Transformer-based Natural Language Processing Methods. ICHI (2021)
Peng Liu, Charlie T. Tran, Bin Kong, Ruogu Fang
CADA: Multi-scale Collaborative Adversarial Domain Adaptation for Unsupervised Optic Disc and Cup Segmentation. CoRR (2021)
Xi Yang, Jiang Bian, Ruogu Fang, Ragnhildur I. Bjarnadottir, William R. Hogan, Yonghui Wu
Identifying relations of medications with adverse drug events using recurrent convolutional neural networks and gradient boosting. J. Am. Medical Informatics Assoc. 27 (1) (2020)
Skylar Stolte, Ruogu Fang
A survey on medical image analysis in diabetic retinopathy. Medical Image Anal. 64 (2020)
Yaxin Shen, Bin Sheng, Ruogu Fang, Huating Li, Ling Dai, Skylar Stolte, Jing Qin, Weiping Jia, Dinggang Shen
Domain-invariant interpretable fundus image quality assessment. Medical Image Anal. 61 (2020)
Yao Xiao, Ruogu Fang
Transfer generative adversarial network for multimodal CT image super-resolution (Conference Presentation). Medical Imaging: Image Processing (2020)
Yao Xiao, Keith R. Peters, W. Christopher Fox, John H. Rees, Dhanashree A. Rajderkar, Manuel M. Arreola, Izabella Barreto, Wesley E. Bolch, Ruogu Fang
Transfer-Gan: Multimodal Ct Image Super-Resolution Via Transfer Generative Adversarial Networks. ISBI (2020)
José Ignacio Orlando, Huazhu Fu, João Barbosa 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, Hrvoje Bogunovic
REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs. Medical Image Anal. 59 (2020)
Peng Liu, Ruogu Fang
Regression and Learning with Pixel-wise Attention for Retinal Fundus Glaucoma Segmentation and Detection. CoRR (2020)
Peng Liu, Ruogu Fang
SDCNet: Smoothed Dense-Convolution Network for Restoring Low-Dose Cerebral CT Perfusion. CoRR (2019)
Peng Liu, Bin Kong, Zhongyu Li, Shaoting Zhang, Ruogu Fang
CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation. CoRR (2019)
Siyuan Pan, Xuhong Hou, Huating Li, Bin Sheng, Ruogu Fang, Yuxin Xue, Weiping Jia, Jing Qin
Abdominal Adipose Tissue Segmentation in MRI with Double Loss Function Collaborative Learning. MICCAI (6) (2019)
José Ignacio Orlando, Huazhu Fu, João Barbosa 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, Yong-Li Xu, Pengshuai Yin, Fei Li, Xiulan Zhang, Yanwu Xu, Hrvoje Bogunovic
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs. CoRR (2019)
Peng Liu, Mohammad D. El Basha, Yangjunyi Li, Yao Xiao, Pina C. Sanelli, Ruogu Fang
Deep Evolutionary Networks with Expedited Genetic Algorithms for Medical Image Denoising. Medical Image Anal. 54 (2019)
Peng Liu, Xiaoxiao Zhou, Junyi Yang, Mohammad D. El Basha, Ruogu Fang
Image Restoration Using Deep Regulated Convolutional Networks. CoRR (2019)
Bin Sheng, Ping Li, Shuangjia Mo, Huating Li, Xuhong Hou, Qiang Wu, Jing Qin, Ruogu Fang, David Dagan Feng
Retinal Vessel Segmentation Using Minimum Spanning Superpixel Tree Detector. IEEE Trans. Cybern. 49 (7) (2019)
Peng Liu, Bin Kong, Zhongyu Li, Shaoting Zhang, Ruogu Fang
CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation. MICCAI (5) (2019)
Peng Liu, Xiaoxiao Zhou, Junyiyang Li, Mohammad D. El Basha, Ruogu Fang
KRNET: Image Denoising with Kernel Regulation Network. CoRR (2019)
Peng Liu, Ruogu Fang
SDCNet: Smoothed dense-convolution network for restoring low-dose cerebral CT perfusion. ISBI (2018)
Maryamossadat Aghili, Ruogu Fang
Mining Big Neuron Morphological Data. Comput. Intell. Neurosci. 2018 (2018)
Ling Dai, Ruogu Fang, Huating Li, Xuhong Hou, Bin Sheng, Qiang Wu, Weiping Jia
Clinical Report Guided Retinal Microaneurysm Detection With Multi-Sieving Deep Learning. IEEE Trans. Medical Imaging 37 (5) (2018)
Yaxin Shen, Ruogu Fang, Bin Sheng, Ling Dai, Huating Li, Jing Qin, Qiang Wu, Weiping Jia
Multi-task Fundus Image Quality Assessment via Transfer Learning and Landmarks Detection. MLMI@MICCAI (2018)
Saleha Masood, Bin Sheng, Ping Li, Ruimin Shen, Ruogu Fang, Qiang Wu
Automatic choroid layer segmentation using normalized graph cut. IET Image Process. 12 (1) (2018)
Peng Liu, Yangjunyi Li, Mohammad D. El Basha, Ruogu Fang
Neural Network Evolution Using Expedited Genetic Algorithm for Medical Image Denoising. MICCAI (1) (2018)
Peng Liu, Ruogu Fang
Wide Inference Network for Image Denoising. CoRR (2017)
Yao Xiao, Ruogu Fang
RFMiner: Risk Factors Discovery and Mining for Preventive Cardiovascular Health. CHASE (2017)
Peng Liu, Ruogu Fang
Learning Pixel-Distribution Prior with Wider Convolution for Image Denoising. CoRR (2017)
Fei Jiang, Huating Li, Xuhong Hou, Bin Sheng, Ruimin Shen, Xiao-Yang Liu, Weiping Jia, Ping Li, Ruogu Fang
Abdominal adipose tissues extraction using multi-scale deep neural network. Neurocomputing 229 (2017)
Ruogu Fang, Ajay Gupta, Junzhou Huang, Pina C. Sanelli
TENDER: Tensor non-local deconvolution enabled radiation reduction in CT perfusion. Neurocomputing 229 (2017)
Yao Xiao, Ajay Gupta, Pina C. Sanelli, Ruogu Fang
STAR: Spatio-Temporal Architecture for Super-Resolution in Low-Dose CT Perfusion. MLMI@MICCAI (2017)
Zhongyu Li, Ruogu Fang, Fumin Shen, Amin Katouzian, Shaoting Zhang
Indexing and mining large-scale neuron databases using maximum inner product search. Pattern Recognit. 63 (2017)
Ling Dai, Bin Sheng, Qiang Wu, Huating Li, Xuhong Hou, Weiping Jia, Ruogu Fang
Retinal Microaneurysm Detection Using Clinical Report Guided Multi-sieving CNN. MICCAI (3) (2017)
Ruogu Fang, Samira Pouyanfar, Yimin Yang, Shu-Ching Chen, S. S. Iyengar
Computational Health Informatics in the Big Data Age: A Survey. ACM Comput. Surv. 49 (1) (2016)
Zhongyu Li, Fumin Shen, Ruogu Fang, Sailesh Conjeti, Amin Katouzian, Shaoting Zhang
Maximum inner product search for morphological retrieval of large-scale neuron data. ISBI (2016)
Ruogu Fang, Ajay Gupta, Pina C. Sanelli
Direct estimation of permeability maps for low-dose CT perfusion. ISBI (2016)
Ruoyu Li, Yeqing Li, Ruogu Fang, Shaoting Zhang, Hao Pan, Junzhou Huang
Fast Preconditioning for Accelerated Multi-contrast MRI Reconstruction. MICCAI (2) (2015)
Menglin Jiang, Shaoting Zhang, Ruogu Fang, Dimitris N. Metaxas
Leveraging coupled multi-index for scalable retrieval of mammographic masses. ISBI (2015)
Ruogu Fang, Shaoting Zhang, Tsuhan Chen, Pina C. Sanelli
Robust Low-Dose CT Perfusion Deconvolution via Tensor Total-Variation Regularization. IEEE Trans. Medical Imaging 34 (7) (2015)
Ruogu Fang, Ming Ni, Junzhou Huang, Qianmu Li, Tao Li
Efficient 4D Non-local Tensor Total-Variation for Low-Dose CT Perfusion Deconvolution. MCV@MICCAI (2015)
Ruogu Fang, Tsuhan Chen, Dimitris N. Metaxas, Pina C. Sanelli, Shaoting Zhang
Sparsity techniques in medical imaging. Comput. Medical Imaging Graph. 46 (2015)
Ruogu Fang, Junzhou Huang, Wen-Ming Luh
A spatio-temporal low-rank total variation approach for denoising arterial spin labeling MRI data. ISBI (2015)
Ruogu Fang, Haodi Jiang, Junzhou Huang
Tissue-specific sparse deconvolution for brain CT perfusion. Comput. Medical Imaging Graph. 46 (2015)
Ruogu Fang, Kolbeinn Karlsson, Tsuhan Chen, Pina C. Sanelli
Improving low-dose blood-brain barrier permeability quantification using sparse high-dose induced prior for Patlak model. Medical Image Anal. 18 (6) (2014)
Ruogu Fang, Pina C. Sanelli, Shaoting Zhang, Tsuhan Chen
Tensor Total-Variation Regularized Deconvolution for Efficient Low-Dose CT Perfusion. MICCAI (1) (2014)
Ruogu Fang, Andrew C. Gallagher, Tsuhan Chen, Alexander C. Loui
Kinship classification by modeling facial feature heredity. ICIP (2013)
Ruogu Fang, Tsuhan Chen, Pina C. Sanelli
Tissue-Specific Sparse Deconvolution for Low-Dose CT Perfusion. MICCAI (1) (2013)
Ruogu Fang, Tsuhan Chen, Pina C. Sanelli
Towards robust deconvolution of low-dose perfusion CT: Sparse perfusion deconvolution using online dictionary learning. Medical Image Anal. 17 (4) (2013)
Ruogu Fang, Tsuhan Chen, Pina C. Sanelli
Sparsity-Based Deconvolution of Low-Dose Perfusion CT Using Learned Dictionaries. MICCAI (1) (2012)
Ruogu Fang, Tsuhan Chen, Pina C. Sanelli
Sparsity-based deconvolution of low-dose brain perfusion CT in subarachnoid hemorrhage patients. ISBI (2012)
Ruogu Fang, Ramin Zabih, Ashish Raj, Tsuhan Chen
Segmentation of Liver Tumor Using Efficient Global Optimal Tree Metrics Graph Cuts. Abdominal Imaging (2011)
Ruogu Fang, Kevin D. Tang, Noah Snavely, Tsuhan Chen
Towards computational models of kinship verification. ICIP (2010)