Ruogu Fang

发表

Deep Spatial-Temporal Convolutional Neural Networks for Medical Image Restoration

Peng Liu, Ajay Gupta, Yao Xiao, 2019, Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics.

STIR-Net: Deep Spatial-Temporal Image Restoration Net for Radiation Reduction in CT Perfusion

Yun Liang, Yao Xiao, Skylar Stolte, 2019, Front. Neurol..

Leveraging coupled multi-index for scalable retrieval of mammographic masses

Dimitris N. Metaxas, Shaoting Zhang, Menglin Jiang, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Abdominal Adipose Tissue Segmentation in MRI with Double Loss Function Collaborative Learning

Ruogu Fang, Jing Qin, Siyuan Pan, 2019, MICCAI.

Robust Low-Dose CT Perfusion Deconvolution via Tensor Total-Variation Regularization

Tsuhan Chen, Shaoting Zhang, Pina C. Sanelli, 2015, IEEE Transactions on Medical Imaging.

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

Peng Liu, Shaoting Zhang, Ruogu Fang, 2019, MICCAI.

Tensor total-variation regularized deconvolution kegularlzea ueconvolution for efficient low-dose CT perfusion.

Tsuhan Chen, Shaoting Zhang, Ruogu Fang, 2014, Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention.

Low-rise gable roof buildings pressure prediction using deep neural networks

Forrest J. Masters, Kurtis R. Gurley, Ruogu Fang, 2020 .

Automatic choroid layer segmentation using normalized graph cut

Qiang Wu, Bin Sheng, Ruimin Shen, 2018, IET Image Process..

Towards Robust Deconvolution In Medical Imaging: Informatics, Diagnosis And Treatment

Ruogu Fang, R. Fang, 2014 .

Sparsity techniques in medical imaging

Tsuhan Chen, Dimitris N. Metaxas, Shaoting Zhang, 2015, Comput. Medical Imaging Graph..

A spatio-temporal low-rank total variation approach for denoising arterial spin labeling MRI data

Junzhou Huang, Wen-Ming Luh, Ruogu Fang, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Wide Inference Network for Image Denoising pdf

Peng Liu, Ruogu Fang, Peng Liu, 2017, arXiv.org.

Retinal Microaneurysm Detection Using Clinical Report Guided Multi-sieving CNN

Qiang Wu, Bin Sheng, Ruogu Fang, 2017, MICCAI.

RFMiner: Risk Factors Discovery and Mining for Preventive Cardiovascular Health

Yao Xiao, Ruogu Fang, 2017, 2017 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE).

Wound size measurement of lower extremity ulcers using segmentation algorithms

Anuradha Godavarty, Ruogu Fang, Elizabeth Solis, 2016, SPIE BiOS.

Tissue-Specific Sparse Deconvolution for Low-Dose CT Perfusion

Tsuhan Chen, Pina C. Sanelli, Ruogu Fang, 2013, MICCAI.

Correction to: Retinal Microaneurysm Detection Using Clinical Report Guided Multi-Sieving CNN

Qiang Wu, Bin Sheng, Ruogu Fang, 2017, Medical Image Computing and Computer Assisted Intervention − MICCAI 2017.

Kinship classification by modeling facial feature heredity

Tsuhan Chen, Alexander C. Loui, Andrew C. Gallagher, 2013, 2013 IEEE International Conference on Image Processing.

Transfer-Gan: Multimodal Ct Image Super-Resolution Via Transfer Generative Adversarial Networks

Wesley E. Bolch, Ruogu Fang, Yao Xiao, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Multi-task Fundus Image Quality Assessment via Transfer Learning and Landmarks Detection

Qiang Wu, Bin Sheng, Jing Qin, 2018, MLMI@MICCAI.

Retinal Vessel Segmentation Using Minimum Spanning Superpixel Tree Detector

Qiang Wu, Ping Li, Bin Sheng, 2019, IEEE Transactions on Cybernetics.

Deep Evolutionary Networks with Expedited Genetic Algorithms for Medical Image Denoising

Peng Liu, Yao Xiao, Pina C. Sanelli, 2019, Medical Image Anal..

Automatic Choroid Layer Segmentation from Optical Coherence Tomography Images Using Deep Learning

Qiang Wu, Ping Li, Bin Sheng, 2019, Scientific Reports.

Efficient 4D Non-local Tensor Total-Variation for Low-Dose CT Perfusion Deconvolution

Junzhou Huang, Tao Li, Ming Ni, 2015, MCV@MICCAI.

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

Xiaoxiao Li, Joonho Lee, Peng Liu, 2019, Medical Image Anal..

Computational Health Informatics in the Big Data Age

Shu-Ching Chen, Yimin Yang, Samira Pouyanfar, 2016, ACM Comput. Surv..

Mining Big Neuron Morphological Data

Ruogu Fang, Maryamossadat Aghili, R. Fang, 2018, Comput. Intell. Neurosci..

Tissue-specific sparse deconvolution for brain CT perfusion

Junzhou Huang, Haodi Jiang, Ruogu Fang, 2015, Comput. Medical Imaging Graph..

Image Restoration Using Deep Regulated Convolutional Networks pdf

Peng Liu, Xiaoxiao Zhou, Ruogu Fang, 2019, ArXiv.

Improving low-dose blood-brain barrier permeability quantification using sparse high-dose induced prior for Patlak model

Tsuhan Chen, Kolbeinn Karlsson, Pina C. Sanelli, 2014, Medical Image Anal..

STAR: Spatio-Temporal Architecture for Super-Resolution in Low-Dose CT Perfusion

Ajay Gupta, Yao Xiao, Pina C. Sanelli, 2017, MLMI@MICCAI.

A survey on medical image analysis in diabetic retinopathy

Skylar Stolte, Ruogu Fang, Skylar E. Stolte, 2020, Medical Image Anal..

Publisher Correction: Automatic Choroid Layer Segmentation from Optical Coherence Tomography Images Using Deep Learning

Ping Li, Jing Qin, Bin Sheng, 2019, Scientific reports.

Indexing and mining large-scale neuron databases using maximum inner product search

Fumin Shen, Shaoting Zhang, Zhongyu Li, 2017, Pattern Recognit..

Radiation dose reduction in computed tomography perfusion using spatial-temporal Bayesian methods

Tsuhan Chen, Ashish Raj, Pina C. Sanelli, 2012, Medical Imaging.

Direct estimation of permeability maps for low-dose CT perfusion

Ajay Gupta, Pina C. Sanelli, Ruogu Fang, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Maximum inner product search for morphological retrieval of large-scale neuron data

Fumin Shen, Shaoting Zhang, Sailesh Conjeti, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Segmentation of Liver Tumor Using Efficient Global Optimal Tree Metrics Graph Cuts

Tsuhan Chen, Ashish Raj, Ramin Zabih, 2011, Abdominal Imaging.

Système et procédé de segmentation interactive sur des dispositifs mobiles dans environnement d'informatique en nuage

Leo Grady, Ruogu Fang, Gianluca Paladini, 2011 .

Tensor Total-Variation Regularized Deconvolution for Efficient Low-Dose CT Perfusion

Tsuhan Chen, Shaoting Zhang, Pina C. Sanelli, 2014, MICCAI.

STIR-Net: Spatial-Temporal Image Restoration Net for CT Perfusion Radiation Reduction

Peng Liu, Yao Xiao, Skylar Stolte, 2019 .

Towards computational models of kinship verification

Tsuhan Chen, Noah Snavely, Ruogu Fang, 2010, 2010 IEEE International Conference on Image Processing.

Big Data in Computational Health Informatics

S. Sitharama Iyengar, Yimin Yang, Samira Pouyanfar, 2019, Big Data in Multimodal Medical Imaging.

Transfer generative adversarial network for multimodal CT image super-resolution (Conference Presentation)

Yao Xiao, Ruogu Fang, 2020, Medical Imaging: Image Processing.

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

Peng Liu, Ruogu Fang, 2020, ArXiv.

KRNET: Image Denoising with Kernel Regulation Network pdf

Peng Liu, Xiaoxiao Zhou, Ruogu Fang, 2019, ArXiv.

Wide Inference Network for Image Denoising

Ruogu Fang, Peng Liu, R. Fang, 2017, ArXiv.

Neural Network Evolution Using Expedited Genetic Algorithm for Medical Image Denoising

Peng Liu, Ruogu Fang, Mohammad D. El Basha, 2018, MICCAI.

Fast Preconditioning for Accelerated Multi-contrast MRI Reconstruction

Ruoyu Li, Junzhou Huang, Shaoting Zhang, 2015, MICCAI.

Clinical Report Guided Retinal Microaneurysm Detection With Multi-Sieving Deep Learning

Bin Sheng, Ruogu Fang, Huating Li, 2018, IEEE Transactions on Medical Imaging.

Dispersed Multiphase Flow Generation using 3D Steerable Convolutional Neural Network

Ruogu Fang, William Moore, Yunchao Yang, 2020 .

Sparsity-Based Deconvolution of Low-Dose Perfusion CT Using Learned Dictionaries

Tsuhan Chen, Pina C. Sanelli, Ruogu Fang, 2012, MICCAI.

Sparsity-based deconvolution of low-dose brain perfusion CT in subarachnoid hemorrhage patients

Tsuhan Chen, Pina C. Sanelli, Ruogu Fang, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Towards robust deconvolution of low-dose perfusion CT: Sparse perfusion deconvolution using online dictionary learning

Tsuhan Chen, Pina C. Sanelli, Ruogu Fang, 2013, Medical Image Anal..

SDCNet: Smoothed dense-convolution network for restoring low-dose cerebral CT perfusion

Peng Liu, Ruogu Fang, Peng Liu, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

TENDER: Tensor non-local deconvolution enabled radiation reduction in CT perfusion

Junzhou Huang, Pina C. Sanelli, Ruogu Fang, 2017, Neurocomputing.

Learning Pixel-Distribution Prior with Wider Convolution for Image Denoising pdf

Peng Liu, Ruogu Fang, Peng Liu, 2017, ArXiv.

Abdominal adipose tissues extraction using multi-scale deep neural network

Bin Sheng, Ruimin Shen, Fei Jiang, 2017, Neurocomputing.

Identifying relations of medications with adverse drug events using recurrent convolutional neural networks and gradient boosting

Xi Yang, Yonghui Wu, Jiang Bian, 2019, J. Am. Medical Informatics Assoc..

Identify Diabetic Retinopathy-related Clinical Concepts Using Transformer-based Natural Language Processing Methods

Ruogu Fang, Yinghan Ma, Xi Yang, 2021, 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI).

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

Ruogu Fang, Bin Kong, Peng Liu, 2021, Neurocomputing.

Tree-metrics graph cuts for brain MRI segmentation with tree cutting

Tsuhan Chen, Ramin Zabih, Ruogu Fang, 2010, 2010 Western New York Image Processing Workshop.