Towards computational models of kinship verification. - Ruogu Fang; Kevin D. Tang; Noah Snavely; Tsuhan Chen (ICIP, 2010)

Segmentation of Liver Tumor Using Efficient Global Optimal Tree Metrics Graph Cuts. - Ruogu Fang; Ramin Zabih; Ashish Raj; Tsuhan Chen (Abdominal Imaging, 2011)

Sparsity-based deconvolution of low-dose brain perfusion CT in subarachnoid hemorrhage patients. - Ruogu Fang; Tsuhan Chen; Pina C. Sanelli (ISBI, 2012)

Sparsity-Based Deconvolution of Low-Dose Perfusion CT Using Learned Dictionaries. - Ruogu Fang; Tsuhan Chen; Pina C. Sanelli (MICCAI (1), 2012)

Kinship classification by modeling facial feature heredity. - Ruogu Fang; Andrew C. Gallagher; Tsuhan Chen; Alexander C. Loui (ICIP, 2013)

Tissue-Specific Sparse Deconvolution for Low-Dose CT Perfusion. - Ruogu Fang; Tsuhan Chen; Pina C. Sanelli (MICCAI (1), 2013)

Towards robust deconvolution of low-dose perfusion CT: Sparse perfusion deconvolution using online dictionary learning. - Ruogu Fang; Tsuhan Chen; Pina C. Sanelli (Medical Image Anal., 2013)

Tensor Total-Variation Regularized Deconvolution for Efficient Low-Dose CT Perfusion. - Ruogu Fang; Pina C. Sanelli; Shaoting Zhang 001; Tsuhan Chen (MICCAI (1), 2014)

Improving low-dose blood-brain barrier permeability quantification using sparse high-dose induced prior for Patlak model. - Ruogu Fang; Kolbeinn Karlsson; Tsuhan Chen; Pina C. Sanelli (Medical Image Anal., 2014)

A spatio-temporal low-rank total variation approach for denoising arterial spin labeling MRI data. - Ruogu Fang; Junzhou Huang; Wen-Ming Luh (ISBI, 2015)

Leveraging coupled multi-index for scalable retrieval of mammographic masses. - Menglin Jiang; Shaoting Zhang 001; Ruogu Fang; Dimitris N. Metaxas (ISBI, 2015)

Efficient 4D Non-local Tensor Total-Variation for Low-Dose CT Perfusion Deconvolution. - Ruogu Fang; Ming Ni; Junzhou Huang; Qianmu Li; Tao Li 001 (MCV@MICCAI, 2015)

Fast Preconditioning for Accelerated Multi-contrast MRI Reconstruction. - Ruoyu Li 002; Yeqing Li; Ruogu Fang; Shaoting Zhang 001; Hao Pan; Junzhou Huang (MICCAI (2), 2015)

Sparsity techniques in medical imaging. - Ruogu Fang; Tsuhan Chen; Dimitris N. Metaxas; Pina C. Sanelli; Shaoting Zhang 001 (Comput. Medical Imaging Graph., 2015)

Tissue-specific sparse deconvolution for brain CT perfusion. - Ruogu Fang; Haodi Jiang; Junzhou Huang (Comput. Medical Imaging Graph., 2015)

Robust Low-Dose CT Perfusion Deconvolution via Tensor Total-Variation Regularization. - Ruogu Fang; Shaoting Zhang 001; Tsuhan Chen; Pina C. Sanelli (IEEE Trans. Medical Imaging, 2015)

Direct estimation of permeability maps for low-dose CT perfusion. - Ruogu Fang; Ajay Gupta; Pina C. Sanelli (ISBI, 2016)

Maximum inner product search for morphological retrieval of large-scale neuron data. - Zhongyu Li 002; Fumin Shen; Ruogu Fang; Sailesh Conjeti; Amin Katouzian; Shaoting Zhang 001 (ISBI, 2016)

Computational Health Informatics in the Big Data Age: A Survey. - Ruogu Fang; Samira Pouyanfar; Yimin Yang 002; Shu-Ching Chen; S. S. Iyengar 001 (ACM Comput. Surv., 2016)

RFMiner: Risk Factors Discovery and Mining for Preventive Cardiovascular Health. - Yao Xiao; Ruogu Fang (CHASE, 2017)

Retinal Microaneurysm Detection Using Clinical Report Guided Multi-sieving CNN. - Ling Dai; Bin Sheng 001; Qiang Wu; Huating Li; Xuhong Hou; Weiping Jia; Ruogu Fang (MICCAI (3), 2017)

STAR: Spatio-Temporal Architecture for Super-Resolution in Low-Dose CT Perfusion. - Yao Xiao; Ajay Gupta; Pina C. Sanelli; Ruogu Fang (MLMI@MICCAI, 2017)

Wide Inference Network for Image Denoising. - Peng Liu 037; Ruogu Fang (CoRR, 2017)

Learning Pixel-Distribution Prior with Wider Convolution for Image Denoising. - Peng Liu 037; Ruogu Fang (CoRR, 2017)

TENDER: Tensor non-local deconvolution enabled radiation reduction in CT perfusion. - Ruogu Fang; Ajay Gupta; Junzhou Huang; Pina C. Sanelli (Neurocomputing, 2017)

Abdominal adipose tissues extraction using multi-scale deep neural network. - Fei Jiang 006; Huating Li; Xuhong Hou; Bin Sheng 001; Ruimin Shen; Xiao-Yang Liu; Weiping Jia; Ping Li 016; Ruogu Fang (Neurocomputing, 2017)

Indexing and mining large-scale neuron databases using maximum inner product search. - Zhongyu Li 002; Ruogu Fang; Fumin Shen; Amin Katouzian; Shaoting Zhang 001 (Pattern Recognit., 2017)

SDCNet: Smoothed dense-convolution network for restoring low-dose cerebral CT perfusion. - Peng Liu 037; Ruogu Fang (ISBI, 2018)

Neural Network Evolution Using Expedited Genetic Algorithm for Medical Image Denoising. - Peng Liu 037; Yangjunyi Li; Mohammad D. El Basha; Ruogu Fang (MICCAI (1), 2018)

Multi-task Fundus Image Quality Assessment via Transfer Learning and Landmarks Detection. - Yaxin Shen; Ruogu Fang; Bin Sheng 001; Ling Dai; Huating Li; Jing Qin 001; Qiang Wu; Weiping Jia (MLMI@MICCAI, 2018)

Mining Big Neuron Morphological Data. - Maryamossadat Aghili; Ruogu Fang (Comput. Intell. Neurosci., 2018)

Automatic choroid layer segmentation using normalized graph cut. - Saleha Masood; Bin Sheng 001; Ping Li 016; Ruimin Shen; Ruogu Fang; Qiang Wu (IET Image Process., 2018)

Clinical Report Guided Retinal Microaneurysm Detection With Multi-Sieving Deep Learning. - Ling Dai; Ruogu Fang; Huating Li; Xuhong Hou; Bin Sheng 001; Qiang Wu; Weiping Jia (IEEE Trans. Medical Imaging, 2018)

Deep Spatial-Temporal Convolutional Neural Networks for Medical Image Restoration. - Yao Xiao; Skylar E. Stolte; Peng Liu 037; Yun Liang 012; Pina C. Sanelli; Ajay Gupta; Jana Ivanidze; Ruogu Fang (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation. - Peng Liu 037; Bin Kong 001; Zhongyu Li 002; Shaoting Zhang 001; Ruogu Fang (MICCAI (5), 2019)

Abdominal Adipose Tissue Segmentation in MRI with Double Loss Function Collaborative Learning. - Siyuan Pan; Xuhong Hou; Huating Li; Bin Sheng 001; Ruogu Fang; Yuxin Xue; Weiping Jia; Jing Qin 001 (MICCAI (6), 2019)

REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs. - 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; et al. (CoRR, 2019)

Image Restoration Using Deep Regulated Convolutional Networks. - Peng Liu 037; Xiaoxiao Zhou; Junyi Yang; Mohammad D. El Basha; Ruogu Fang (CoRR, 2019)

KRNET: Image Denoising with Kernel Regulation Network. - Peng Liu 037; Xiaoxiao Zhou; Junyiyang Li; Mohammad D. El Basha; Ruogu Fang (CoRR, 2019)

Deep Evolutionary Networks with Expedited Genetic Algorithms for Medical Image Denoising. - Peng Liu 037; Mohammad D. El Basha; Yangjunyi Li; Yao Xiao; Pina C. Sanelli; Ruogu Fang (Medical Image Anal., 2019)

Retinal Vessel Segmentation Using Minimum Spanning Superpixel Tree Detector. - Bin Sheng 001; Ping Li 016; Shuangjia Mo; Huating Li; Xuhong Hou; Qiang Wu; Jing Qin 001; Ruogu Fang; David Dagan Feng (IEEE Trans. Cybern., 2019)

Transfer-Gan: Multimodal Ct Image Super-Resolution Via Transfer Generative Adversarial Networks. - Yao Xiao; Keith R. Peters; W. Christopher Fox; John H. Rees; Dhanashree A. Rajderkar; Manuel M. Arreola; Izabella Barreto; Wesley E. Bolch; Ruogu Fang (ISBI, 2020)

Transfer generative adversarial network for multimodal CT image super-resolution (Conference Presentation). - Yao Xiao; Ruogu Fang (Image Processing, 2020)

Regression and Learning with Pixel-wise Attention for Retinal Fundus Glaucoma Segmentation and Detection. - Peng Liu 037; Ruogu Fang (CoRR, 2020)

Identifying relations of medications with adverse drug events using recurrent convolutional neural networks and gradient boosting. - Xi Yang 015; Jiang Bian 001; Ruogu Fang; Ragnhildur I. Bjarnadottir; William R. Hogan; Yonghui Wu (J. Am. Medical Informatics Assoc., 2020)

REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs. - 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; et al. (Medical Image Anal., 2020)

Domain-invariant interpretable fundus image quality assessment. - Yaxin Shen; Bin Sheng 001; Ruogu Fang; Huating Li; Ling Dai; Skylar E. Stolte; Jing Qin 001; Weiping Jia; Dinggang Shen (Medical Image Anal., 2020)

A survey on medical image analysis in diabetic retinopathy. - Skylar E. Stolte; Ruogu Fang (Medical Image Anal., 2020)

Identify Diabetic Retinopathy-related Clinical Concepts Using Transformer-based Natural Language Processing Methods. - Zehao Yu 001; Xi Yang 015; Gianna L. Sweeting; Yinghan Ma; Skylar E. Stolte; Ruogu Fang; Yonghui Wu (ICHI, 2021)

Unraveling somatotopic organization in the human brain using machine learning and adaptive supervoxel-based parcellations. - Kyle B. See; David J. Arpin; David E. Vaillancourt; Ruogu Fang; Stephen A. Coombes (NeuroImage, 2021)

Identify Cancer Patients at Risk for Heart Failure using Electronic Health Record and Genetic Data. - Zehao Yu 001; Xi Yang 015; Yiqing Chen; Ruogu Fang; William R. Hogan; Yan Gong; Yonghui Wu (ICHI, 2022)

DOMINO: Domain-Aware Model Calibration in Medical Image Segmentation. - Skylar E. Stolte; Kyle Volle; Aprinda Indahlastari; Alejandro Albizu; Adam J. Woods; Kevin M. Brink; Matthew T. Hale; Ruogu Fang (MICCAI (5), 2022)

FedTiny: Pruned Federated Learning Towards Specialized Tiny Models. - Hong Huang; Lan Zhang 005; Chaoyue Sun; Ruogu Fang; Xiaoyong Yuan; Dapeng Wu 001 (CoRR, 2022)

CADA: Multi-scale Collaborative Adversarial Domain Adaptation for unsupervised optic disc and cup segmentation. - Peng Liu 037; Charlie T. Tran; Bin Kong 001; Ruogu Fang (Neurocomputing, 2022)

Identify diabetic retinopathy-related clinical concepts and their attributes using transformer-based natural language processing methods. - Zehao Yu 001; Xi Yang 015; Gianna L. Sweeting; Yinghan Ma; Skylar E. Stolte; Ruogu Fang; Yonghui Wu (BMC Medical Informatics Decis. Mak., 2022)

Distributed Pruning Towards Tiny Neural Networks in Federated Learning. - Hong Huang; Lan Zhang 005; Chaoyue Sun; Ruogu Fang; Xiaoyong Yuan; Dapeng Wu 001 (ICDCS, 2023)

DOMINO++: Domain-Aware Loss Regularization for Deep Learning Generalizability. - Skylar E. Stolte; Kyle Volle; Aprinda Indahlastari; Alejandro Albizu; Adam J. Woods; Kevin M. Brink; Matthew T. Hale; Ruogu Fang (MICCAI (4), 2023)

LAVA: Granular Neuron-Level Explainable AI for Alzheimer's Disease Assessment from Fundus Images. - Nooshin Yousefzadeh; Charlie T. Tran; Adolfo Ramirez-Zamora; Jinghua Chen; Ruogu Fang; My T. Thai (CoRR, 2023)

Deep Learning Predicts Prevalent and Incident Parkinson's Disease From UK Biobank Fundus Imaging. - Charlie T. Tran; Kai Shen; Kevin Liu; Ruogu Fang (CoRR, 2023)

Ethnic disparity in diagnosing asymptomatic bacterial vaginosis using machine learning. - Cameron Celeste; Dion Ming; Justin Broce; Diandra P. Ojo; Emma Drobina; Adetola F. Louis-Jacques; Juan E. Gilbert; Ruogu Fang; Ivana K. Parker (npj Digit. Medicine, 2023)

DOMINO: Domain-aware loss for deep learning calibration. - Skylar E. Stolte; Kyle Volle; Aprinda Indahlastari; Alejandro Albizu; Adam J. Woods; Kevin M. Brink; Matthew T. Hale; Ruogu Fang (Softw. Impacts, 2023)

Learning on Forecasting HIV Epidemic Based on Individuals' Contact Networks. - Chaoyue Sun; Yiyang Liu; Christina Parisi; Rebecca Fisk-Hoffman; Marco Salemi; Ruogu Fang; Brandi Danforth; Mattia Prosperi; Simone Marini (BIOSTEC (2), 2024)

Deep Learning Analysis of Retinal Structures and Risk Factors of Alzheimer's Disease. - Seowung Leem; Yunchao Yang; Adam J. Woods; Ruogu Fang (EMBC, 2024)

Towards tDCS Digital Twins Using Deep Learning-Based Direct Estimation of Personalized Electrical Field Maps from T1-Weighted MRI. - Skylar E. Stolte; Aprinda Indahlastari; Alejandro Albizu; Adam J. Woods; Ruogu Fang (MICCAI (2), 2024)

Morphological profiling for drug discovery in the era of deep learning. - Qiaosi Tang; Ranjala Ratnayake; Gustavo de M. Seabra; Zhe Jiang 001; Ruogu Fang; Lina Cui; Yousong Ding; Tamer Kahveci; Jiang Bian 001; Chenglong Li; Hendrik Luesch; Yanjun Li 005 (Briefings Bioinform., 2024)

BrainFounder: Towards Brain Foundation Models for Neuroimage Analysis. - Joseph Cox; Peng Liu 037; Skylar E. Stolte; Yunchao Yang; Kang Liu; Kyle B. See; Huiwen Ju; Ruogu Fang (CoRR, 2024)

A Comprehensive Survey of Foundation Models in Medicine. - Wasif Khan; Seowung Leem; Kyle B. See; Joshua K. Wong; Shaoting Zhang 001; Ruogu Fang (CoRR, 2024)

Paleoinspired Vision: From Exploring Colour Vision Evolution to Inspiring Camera Design. - Junjie Zhang; Zhimin Zong; Lin Gu 003; Shenghan Su; Ziteng Cui; Yan Pu; Zirui Chen; Jing Lu; Daisuke Kojima; Tatsuya Harada; Ruogu Fang (CoRR, 2024)

Texture and motion aware perception in-loop filter for AV1. - Tianqi Liu; Hong Huang; Zhijun Lei; Ruogu Fang; Dapeng Oliver Wu (J. Vis. Commun. Image Represent., 2024)

BrainSegFounder: Towards 3D foundation models for neuroimage segmentation. - Joseph Cox; Peng Liu 037; Skylar E. Stolte; Yunchao Yang; Kang Liu; Kyle B. See; Huiwen Ju; Ruogu Fang (Medical Image Anal., 2024)

Emergence of Emotion Selectivity in Deep Neural Networks Trained to Recognize Visual Objects. - Peng Liu 037; Ke Bo; Mingzhou Ding; Ruogu Fang (PLoS Comput. Biol., 2024)

DeepDynaForecast: Phylogenetic-informed graph deep learning for epidemic transmission dynamic prediction. - Chaoyue Sun; Ruogu Fang; Marco Salemi; Mattia Prosperi; Brittany Rife Magalis (PLoS Comput. Biol., 2024)

Learning optimal treatment strategies for intraoperative hypotension using deep reinforcement learning. - Esra Adiyeke; Tianqi Liu; Venkata Sai Dheeraj Naganaboina; Han Li; Tyler J. Loftus; Yuanfang Ren; Benjamin Shickel; Matthew M. Ruppert; Karandeep Singh; Ruogu Fang; Parisa Rashidi; Azra Bihorac; et al. (CoRR, 2025)

Physiology-Informed Generative Multi-Task Network for Contrast-Free CT Perfusion. - Wasif Khan; Kyle B. See; Simon Kato; Ziqian Huang; Amy Lazarte; Kyle Douglas; Xiangyang Lou; Teng J. Peng; Dhanashree A. Rajderkar; John H. Rees; Pina C. Sanelli; Amita Singh; et al. (CoRR, 2025)

OTSurv: A Novel Multiple Instance Learning Framework for Survival Prediction with Heterogeneity-aware Optimal Transport. - Qin Ren; Yifan Wang; Ruogu Fang; Haibin Ling; Chenyu You (CoRR, 2025)

Ouroboros: Single-step Diffusion Models for Cycle-consistent Forward and Inverse Rendering. - Shanlin Sun; Yifan Wang; Hanwen Zhang; Yifeng Xiong; Qin Ren; Ruogu Fang; Xiaohui Xie; Chenyu You (CoRR, 2025)