Author Info
Name
Affiliation
Papers
TOUFIQUE AHMED SOOMRO
Charles Sturt Univ, Sch Comp & Math, Bathurst, NSW 2795, Australia
18
Collaborators
Citations 
PageRank 
25
26
6.45
Referers 
Referees 
References 
64
443
226
Search Limit
100443
Title
Citations
PageRank
Year
Pixel2point: 3D Object Reconstruction From a Single Image Using CNN and Initial Sphere00.342021
Boosting sensitivity of a retinal vessel segmentation algorithm30.392019
Hybrid Active Contours Driven By Edge And Region Fitting Energies Based On P-Laplace Equation00.342019
Deep Learning Models for Retinal Blood Vessels Segmentation: A Review.20.372019
A generalized multi-scale line-detection method to boost retinal vessel segmentation sensitivity20.362019
Impact of Image Enhancement Technique on CNN Model for Retinal Blood Vessels Segmentation.10.352019
Strided fully convolutional neural network for boosting the sensitivity of retinal blood vessels segmentation20.352019
Strided U-Net Model: Retinal Vessels Segmentation using Dice Loss00.342018
An Active Contour Model Based on Region Based Fitting Terms Driven by p-Laplace Length Regularization.00.342018
Impact of ICA-Based Image Enhancement Technique on Retinal Blood Vessels Segmentation.60.422018
Retinal Blood Vessels Extraction of Challenging Images.00.342018
Retinal blood vessel extraction method based on basic filtering schemes.00.342017
Computerised approaches for the detection of diabetic retinopathy using retinal fundus images: a survey.40.392017
Contrast normalization steps for increased sensitivity of a retinal image segmentation method.40.402017
Role Of Image Contrast Enhancement Technique For Ophthalmologist As Diagnostic Tool For Diabetic Retinopathy00.342016
Active Contours Using Additive Local and Global Intensity Fitting Models for Intensity Inhomogeneous Image Segmentation.10.352016
Automatic Retinal Vessel Extraction Algorithm00.342016
Study of the Noise Level in the Colour Fundus Images.10.362015