List of works - Ruogu Fang

A survey on medical image analysis in diabetic retinopathy

scientific article published on 30 May 2020

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

scientific article published on 28 February 2019

Deep Evolutionary Networks with Expedited Genetic Algorithms for Medical Image Denoising

scientific article published on 21 March 2019

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

scientific article

Mining Big Neuron Morphological Data

scientific article published on 24 June 2018

PIMA-CT: Physical Model-Aware Cyclic Simulation and Denoising for Ultra-Low-Dose CT Restoration

scientific article published on 25 May 2022

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

scientific article published on 13 December 2019

REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs

scientific article published on 08 October 2019

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

scientific article published on 20 February 2015

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

scientific article published on 26 June 2019

Sparsity techniques in medical imaging

scientific article published on 16 July 2015

Sparsity-based deconvolution of low-dose perfusion CT using learned dictionaries

scientific article published on 01 January 2012

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

scientific article published on 17 November 2016

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

scientific article published on 01 January 2014

Tissue-specific sparse deconvolution for brain CT perfusion

scientific article published on 21 May 2015

Tissue-specific sparse deconvolution for low-dose CT perfusion

scientific article published on 01 January 2013

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