Ruogu Fang - RankMe

89 papers A 1B 4Journal 56Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cerebra: A Multidisciplinary AI Board for Multimodal Dementia Characterization and Risk Assessment. CoRR Sheng Liu, Long Chen, Zeyun Zhao, Qinglin Gou, Qingyue Wei, Arjun Masurkar, Kevin M. Spiegler, Philip Kuball, Stefania C. Bray, Megan Bernath, Deanna R. Willis, Jiang Bian, Lei Xing, Eric Topol, Kyunghyun Cho, Yu Huang, Ruogu Fang, Narges Razavian, James Zou
2025	J	`jnl`	Association of Timing and Duration of Moderate-to-Vigorous Physical Activity with Cognitive Function and Brain Aging: A Population-Based Study Using the UK Biobank. CoRR Wasif Khan, Lin Gu, Noah Hammarlund, Lei Xing, Joshua K. Wong, Ruogu Fang
2025	J	`jnl`	Learning optimal treatment strategies for intraoperative hypotension using deep reinforcement learning. CoRR 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, Tezcan Ozrazgat-Baslanti
2025	—	`conf`	OTSurv: A Novel Multiple Instance Learning Framework for Survival Prediction with Heterogeneity-Aware Optimal Transport. MICCAI (15) Qin Ren, Yifan Wang, Ruogu Fang, Haibin Ling, Chenyu You
2025	J	`jnl`	OTSurv: A Novel Multiple Instance Learning Framework for Survival Prediction with Heterogeneity-aware Optimal Transport. CoRR Qin Ren, Yifan Wang, Ruogu Fang, Haibin Ling, Chenyu You
2025	J	`jnl`	Ouroboros: Single-step Diffusion Models for Cycle-consistent Forward and Inverse Rendering. CoRR Shanlin Sun, Yifan Wang, Hanwen Zhang, Yifeng Xiong, Qin Ren, Ruogu Fang, Xiaohui Xie, Chenyu You
2025	J	`jnl`	Physiology-Informed Generative Multi-Task Network for Contrast-Free CT Perfusion. CoRR 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, Ibrahim Tuna, Christina A. Wilson, Ruogu Fang
2025	J	`jnl`	Revealing Neurocognitive and Behavioral Patterns by Unsupervised Manifold Learning from Dynamic Brain Data. CoRR Zixia Zhou, Junyan Liu, Wei Emma Wu, Ruogu Fang, Sheng Liu, Qingyue Wei, Rui Yan, Yi Guo, Qian Tao, Yuanyuan Wang, Md Tauhidul Islam, Lei Xing
2025	J	`jnl`	Revealing neurocognitive and behavioral patterns through unsupervised manifold learning of dynamic brain data. Nat. Comput. Sci. Zixia Zhou, Junyan Liu, Wei Emma Wu, Ruogu Fang, Sheng Liu, Qingyue Wei, Rui Yan, Yi Guo, Qian Tao, Yuanyuan Wang, Md Tauhidul Islam, Lei Xing
2025	J	`jnl`	TRACE: applying AI language models to extract ancestry information from curated biomedical literature. Frontiers Digit. Health Alison M. Veintimilla, Chintan K. Acharya, Connie J. Mulligan, Ruogu Fang, Erika Moore
2024	J	`jnl`	A Comprehensive Survey of Foundation Models in Medicine. CoRR Wasif Khan, Seowung Leem, Kyle B. See, Joshua K. Wong, Shaoting Zhang, Ruogu Fang
2024	J	`jnl`	BrainFounder: Towards Brain Foundation Models for Neuroimage Analysis. CoRR Joseph Cox, Peng Liu, Skylar E. Stolte, Yunchao Yang, Kang Liu, Kyle B. See, Huiwen Ju, Ruogu Fang
2024	J	`jnl`	BrainSegFounder: Towards 3D foundation models for neuroimage segmentation. Medical Image Anal. Joseph Cox, Peng Liu, Skylar E. Stolte, Yunchao Yang, Kang Liu, Kyle B. See, Huiwen Ju, Ruogu Fang
2024	—	`conf`	Deep Learning Analysis of Retinal Structures and Risk Factors of Alzheimer's Disease. EMBC Seowung Leem, Yunchao Yang, Adam J. Woods, Ruogu Fang
2024	J	`jnl`	DeepDynaForecast: Phylogenetic-informed graph deep learning for epidemic transmission dynamic prediction. PLoS Comput. Biol. Chaoyue Sun, Ruogu Fang, Marco Salemi, Mattia Prosperi, Brittany Rife Magalis
2024	J	`jnl`	Emergence of Emotion Selectivity in Deep Neural Networks Trained to Recognize Visual Objects. PLoS Comput. Biol. Peng Liu, Ke Bo, Mingzhou Ding, Ruogu Fang
2024	—	`conf`	Learning on Forecasting HIV Epidemic Based on Individuals' Contact Networks. BIOSTEC (2) Chaoyue Sun, Yiyang Liu, Christina Parisi, Rebecca Fisk-Hoffman, Marco Salemi, Ruogu Fang, Brandi Danforth, Mattia Prosperi, Simone Marini
2024	J	`jnl`	Morphological profiling for drug discovery in the era of deep learning. Briefings Bioinform. 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
2024	J	`jnl`	Paleoinspired Vision: From Exploring Colour Vision Evolution to Inspiring Camera Design. CoRR Junjie Zhang, Zhimin Zong, Lin Gu, Shenghan Su, Ziteng Cui, Yan Pu, Zirui Chen, Jing Lu, Daisuke Kojima, Tatsuya Harada, Ruogu Fang
2024	J	`jnl`	Texture and motion aware perception in-loop filter for AV1. J. Vis. Commun. Image Represent. Tianqi Liu, Hong Huang, Zhijun Lei, Ruogu Fang, Dapeng Oliver Wu
2024	—	`conf`	Towards tDCS Digital Twins Using Deep Learning-Based Direct Estimation of Personalized Electrical Field Maps from T1-Weighted MRI. MICCAI (2) Skylar E. Stolte, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Ruogu Fang
2023	—	`conf`	DOMINO++: Domain-Aware Loss Regularization for Deep Learning Generalizability. MICCAI (4) Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew T. Hale, Ruogu Fang
2023	J	`jnl`	DOMINO++: Domain-aware Loss Regularization for Deep Learning Generalizability. CoRR Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew T. Hale, Ruogu Fang
2023	J	`jnl`	DOMINO: Domain-aware Loss for Deep Learning Calibration. CoRR Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew Hale, Ruogu Fang
2023	J	`jnl`	DOMINO: Domain-aware loss for deep learning calibration. Softw. Impacts Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew T. Hale, Ruogu Fang
2023	J	`jnl`	Deep Learning Predicts Prevalent and Incident Parkinson's Disease From UK Biobank Fundus Imaging. CoRR Charlie T. Tran, Kai Shen, Kevin Liu, Ruogu Fang
2023	A	`conf`	Distributed Pruning Towards Tiny Neural Networks in Federated Learning. ICDCS Hong Huang, Lan Zhang, Chaoyue Sun, Ruogu Fang, Xiaoyong Yuan, Dapeng Wu
2023	J	`jnl`	Ethnic disparity in diagnosing asymptomatic bacterial vaginosis using machine learning. npj Digit. Medicine Cameron Celeste, Dion Ming, Justin Broce, Diandra P. Ojo, Emma Drobina, Adetola F. Louis-Jacques, Juan E. Gilbert, Ruogu Fang, Ivana K. Parker
2023	J	`jnl`	LAVA: Granular Neuron-Level Explainable AI for Alzheimer's Disease Assessment from Fundus Images. CoRR Nooshin Yousefzadeh, Charlie T. Tran, Adolfo Ramirez-Zamora, Jinghua Chen, Ruogu Fang, My T. Thai
2023	J	`jnl`	Morphological Profiling for Drug Discovery in the Era of Deep Learning. CoRR 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
2022	J	`jnl`	CADA: Multi-scale Collaborative Adversarial Domain Adaptation for unsupervised optic disc and cup segmentation. Neurocomputing Peng Liu, Charlie T. Tran, Bin Kong, Ruogu Fang
2022	—	`conf`	DOMINO: Domain-Aware Model Calibration in Medical Image Segmentation. MICCAI (5) Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew T. Hale, Ruogu Fang
2022	J	`jnl`	DOMINO: Domain-aware Model Calibration in Medical Image Segmentation. CoRR Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew T. Hale, Ruogu Fang
2022	J	`jnl`	FedTiny: Pruned Federated Learning Towards Specialized Tiny Models. CoRR Hong Huang, Lan Zhang, Chaoyue Sun, Ruogu Fang, Xiaoyong Yuan, Dapeng Wu
2022	—	`conf`	Identify Cancer Patients at Risk for Heart Failure using Electronic Health Record and Genetic Data. ICHI Zehao Yu, Xi Yang, Yiqing Chen, Ruogu Fang, William R. Hogan, Yan Gong, Yonghui Wu
2022	J	`jnl`	Identify diabetic retinopathy-related clinical concepts and their attributes using transformer-based natural language processing methods. BMC Medical Informatics Decis. Mak. Zehao Yu, Xi Yang, Gianna L. Sweeting, Yinghan Ma, Skylar E. Stolte, Ruogu Fang, Yonghui Wu
2021	J	`jnl`	CADA: Multi-scale Collaborative Adversarial Domain Adaptation for Unsupervised Optic Disc and Cup Segmentation. CoRR Peng Liu, Charlie T. Tran, Bin Kong, Ruogu Fang
2021	—	`conf`	Identify Diabetic Retinopathy-related Clinical Concepts Using Transformer-based Natural Language Processing Methods. ICHI Zehao Yu, Xi Yang, Gianna L. Sweeting, Yinghan Ma, Skylar E. Stolte, Ruogu Fang, Yonghui Wu
2021	J	`jnl`	Unraveling somatotopic organization in the human brain using machine learning and adaptive supervoxel-based parcellations. NeuroImage Kyle B. See, David J. Arpin, David E. Vaillancourt, Ruogu Fang, Stephen A. Coombes
2020	J	`jnl`	A survey on medical image analysis in diabetic retinopathy. Medical Image Anal. Skylar E. Stolte, Ruogu Fang
2020	J	`jnl`	Domain-invariant interpretable fundus image quality assessment. Medical Image Anal. Yaxin Shen, Bin Sheng, Ruogu Fang, Huating Li, Ling Dai, Skylar E. Stolte, Jing Qin, Weiping Jia, Dinggang Shen
2020	J	`jnl`	Identifying relations of medications with adverse drug events using recurrent convolutional neural networks and gradient boosting. J. Am. Medical Informatics Assoc. Xi Yang, Jiang Bian, Ruogu Fang, Ragnhildur I. Bjarnadottir, William R. Hogan, Yonghui Wu
2020	J	`jnl`	REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs. Medical Image Anal. 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
2020	J	`jnl`	Regression and Learning with Pixel-wise Attention for Retinal Fundus Glaucoma Segmentation and Detection. CoRR Peng Liu, Ruogu Fang
2020	B	`conf`	Transfer generative adversarial network for multimodal CT image super-resolution (Conference Presentation). Image Processing Yao Xiao, Ruogu Fang
2020	—	`conf`	Transfer-Gan: Multimodal Ct Image Super-Resolution Via Transfer Generative Adversarial Networks. ISBI Yao Xiao, Keith R. Peters, W. Christopher Fox, John H. Rees, Dhanashree A. Rajderkar, Manuel M. Arreola, Izabella Barreto, Wesley E. Bolch, Ruogu Fang
2019	—	`conf`	Abdominal Adipose Tissue Segmentation in MRI with Double Loss Function Collaborative Learning. MICCAI (6) Siyuan Pan, Xuhong Hou, Huating Li, Bin Sheng, Ruogu Fang, Yuxin Xue, Weiping Jia, Jing Qin
2019	—	`conf`	CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation. MICCAI (5) Peng Liu, Bin Kong, Zhongyu Li, Shaoting Zhang, Ruogu Fang
2019	J	`jnl`	CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation. CoRR Peng Liu, Bin Kong, Zhongyu Li, Shaoting Zhang, Ruogu Fang
2019	J	`jnl`	Deep Evolutionary Networks with Expedited Genetic Algorithms for Medical Image Denoising. Medical Image Anal. Peng Liu, Mohammad D. El Basha, Yangjunyi Li, Yao Xiao, Pina C. Sanelli, Ruogu Fang
2019	—	`ch.`	Deep Spatial-Temporal Convolutional Neural Networks for Medical Image Restoration. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics Yao Xiao, Skylar E. Stolte, Peng Liu, Yun Liang, Pina C. Sanelli, Ajay Gupta, Jana Ivanidze, Ruogu Fang
2019	J	`jnl`	Image Restoration Using Deep Regulated Convolutional Networks. CoRR Peng Liu, Xiaoxiao Zhou, Junyi Yang, Mohammad D. El Basha, Ruogu Fang
2019	J	`jnl`	KRNET: Image Denoising with Kernel Regulation Network. CoRR Peng Liu, Xiaoxiao Zhou, Junyiyang Li, Mohammad D. El Basha, Ruogu Fang
2019	J	`jnl`	REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs. CoRR 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
2019	J	`jnl`	Retinal Vessel Segmentation Using Minimum Spanning Superpixel Tree Detector. IEEE Trans. Cybern. Bin Sheng, Ping Li, Shuangjia Mo, Huating Li, Xuhong Hou, Qiang Wu, Jing Qin, Ruogu Fang, David Dagan Feng
2019	J	`jnl`	SDCNet: Smoothed Dense-Convolution Network for Restoring Low-Dose Cerebral CT Perfusion. CoRR Peng Liu, Ruogu Fang
2018	J	`jnl`	Automatic choroid layer segmentation using normalized graph cut. IET Image Process. Saleha Masood, Bin Sheng, Ping Li, Ruimin Shen, Ruogu Fang, Qiang Wu
2018	J	`jnl`	Clinical Report Guided Retinal Microaneurysm Detection With Multi-Sieving Deep Learning. IEEE Trans. Medical Imaging Ling Dai, Ruogu Fang, Huating Li, Xuhong Hou, Bin Sheng, Qiang Wu, Weiping Jia
2018	J	`jnl`	Mining Big Neuron Morphological Data. Comput. Intell. Neurosci. Maryamossadat Aghili, Ruogu Fang
2018	—	`conf`	Multi-task Fundus Image Quality Assessment via Transfer Learning and Landmarks Detection. MLMI@MICCAI Yaxin Shen, Ruogu Fang, Bin Sheng, Ling Dai, Huating Li, Jing Qin, Qiang Wu, Weiping Jia
2018	—	`conf`	Neural Network Evolution Using Expedited Genetic Algorithm for Medical Image Denoising. MICCAI (1) Peng Liu, Yangjunyi Li, Mohammad D. El Basha, Ruogu Fang
2018	—	`conf`	SDCNet: Smoothed dense-convolution network for restoring low-dose cerebral CT perfusion. ISBI Peng Liu, Ruogu Fang
2017	J	`jnl`	Abdominal adipose tissues extraction using multi-scale deep neural network. Neurocomputing Fei Jiang, Huating Li, Xuhong Hou, Bin Sheng, Ruimin Shen, Xiao-Yang Liu, Weiping Jia, Ping Li, Ruogu Fang
2017	J	`jnl`	Indexing and mining large-scale neuron databases using maximum inner product search. Pattern Recognit. Zhongyu Li, Ruogu Fang, Fumin Shen, Amin Katouzian, Shaoting Zhang
2017	J	`jnl`	Learning Pixel-Distribution Prior with Wider Convolution for Image Denoising. CoRR Peng Liu, Ruogu Fang
2017	B	`conf`	RFMiner: Risk Factors Discovery and Mining for Preventive Cardiovascular Health. CHASE Yao Xiao, Ruogu Fang
2017	—	`conf`	Retinal Microaneurysm Detection Using Clinical Report Guided Multi-sieving CNN. MICCAI (3) Ling Dai, Bin Sheng, Qiang Wu, Huating Li, Xuhong Hou, Weiping Jia, Ruogu Fang
2017	—	`conf`	STAR: Spatio-Temporal Architecture for Super-Resolution in Low-Dose CT Perfusion. MLMI@MICCAI Yao Xiao, Ajay Gupta, Pina C. Sanelli, Ruogu Fang
2017	J	`jnl`	TENDER: Tensor non-local deconvolution enabled radiation reduction in CT perfusion. Neurocomputing Ruogu Fang, Ajay Gupta, Junzhou Huang, Pina C. Sanelli
2017	J	`jnl`	Wide Inference Network for Image Denoising. CoRR Peng Liu, Ruogu Fang
2016	J	`jnl`	Computational Health Informatics in the Big Data Age: A Survey. ACM Comput. Surv. Ruogu Fang, Samira Pouyanfar, Yimin Yang, Shu-Ching Chen, S. S. Iyengar
2016	—	`conf`	Direct estimation of permeability maps for low-dose CT perfusion. ISBI Ruogu Fang, Ajay Gupta, Pina C. Sanelli
2016	—	`conf`	Maximum inner product search for morphological retrieval of large-scale neuron data. ISBI Zhongyu Li, Fumin Shen, Ruogu Fang, Sailesh Conjeti, Amin Katouzian, Shaoting Zhang
2015	—	`conf`	A spatio-temporal low-rank total variation approach for denoising arterial spin labeling MRI data. ISBI Ruogu Fang, Junzhou Huang, Wen-Ming Luh
2015	—	`conf`	Efficient 4D Non-local Tensor Total-Variation for Low-Dose CT Perfusion Deconvolution. MCV@MICCAI Ruogu Fang, Ming Ni, Junzhou Huang, Qianmu Li, Tao Li
2015	—	`conf`	Fast Preconditioning for Accelerated Multi-contrast MRI Reconstruction. MICCAI (2) Ruoyu Li, Yeqing Li, Ruogu Fang, Shaoting Zhang, Hao Pan, Junzhou Huang
2015	—	`conf`	Leveraging coupled multi-index for scalable retrieval of mammographic masses. ISBI Menglin Jiang, Shaoting Zhang, Ruogu Fang, Dimitris N. Metaxas
2015	J	`jnl`	Robust Low-Dose CT Perfusion Deconvolution via Tensor Total-Variation Regularization. IEEE Trans. Medical Imaging Ruogu Fang, Shaoting Zhang, Tsuhan Chen, Pina C. Sanelli
2015	J	`jnl`	Sparsity techniques in medical imaging. Comput. Medical Imaging Graph. Ruogu Fang, Tsuhan Chen, Dimitris N. Metaxas, Pina C. Sanelli, Shaoting Zhang
2015	J	`jnl`	Tissue-specific sparse deconvolution for brain CT perfusion. Comput. Medical Imaging Graph. Ruogu Fang, Haodi Jiang, Junzhou Huang
2014	J	`jnl`	Improving low-dose blood-brain barrier permeability quantification using sparse high-dose induced prior for Patlak model. Medical Image Anal. Ruogu Fang, Kolbeinn Karlsson, Tsuhan Chen, Pina C. Sanelli
2014	—	`conf`	Tensor Total-Variation Regularized Deconvolution for Efficient Low-Dose CT Perfusion. MICCAI (1) Ruogu Fang, Pina C. Sanelli, Shaoting Zhang, Tsuhan Chen
2013	B	`conf`	Kinship classification by modeling facial feature heredity. ICIP Ruogu Fang, Andrew C. Gallagher, Tsuhan Chen, Alexander C. Loui
2013	—	`conf`	Tissue-Specific Sparse Deconvolution for Low-Dose CT Perfusion. MICCAI (1) Ruogu Fang, Tsuhan Chen, Pina C. Sanelli
2013	J	`jnl`	Towards robust deconvolution of low-dose perfusion CT: Sparse perfusion deconvolution using online dictionary learning. Medical Image Anal. Ruogu Fang, Tsuhan Chen, Pina C. Sanelli
2012	—	`conf`	Sparsity-Based Deconvolution of Low-Dose Perfusion CT Using Learned Dictionaries. MICCAI (1) Ruogu Fang, Tsuhan Chen, Pina C. Sanelli
2012	—	`conf`	Sparsity-based deconvolution of low-dose brain perfusion CT in subarachnoid hemorrhage patients. ISBI Ruogu Fang, Tsuhan Chen, Pina C. Sanelli
2011	—	`conf`	Segmentation of Liver Tumor Using Efficient Global Optimal Tree Metrics Graph Cuts. Abdominal Imaging Ruogu Fang, Ramin Zabih, Ashish Raj, Tsuhan Chen
2010	B	`conf`	Towards computational models of kinship verification. ICIP Ruogu Fang, Kevin D. Tang, Noah Snavely, Tsuhan Chen