Amir A. Khaliq

Publications30
h-index7
Citations110
Highly Influential Citations4
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A review of retinal blood vessels extraction techniques: challenges, taxonomy, and future trends
TLDR
The visual exploration of retinal blood vessels assists ophthalmologists in the diagnoses of different abnormalities of the eyes such as diabetic retinopathy, glaucoma, cardiovascular ailment. Expand
  • 16
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Unmixing functional magnetic resonance imaging data using matrix factorization
TLDR
In this work, a modified version of NMF method is proposed in which data is not supposed to be non‐negative. Expand
  • 4
  • 1
Temporal Correlation-Based Spatial Filtering of Rician Noise for Functional MRIs
A novel correlation-based filter is presented for de-noising functional magnetic resonance imaging (fMRI) data. Temporal correlation-based exponential weights are defined for spatial smoothing of the… Expand
  • 8
  • 1
A robust technique based on VLM and Frangi filter for retinal vessel extraction and denoising
TLDR
The exploration of retinal vessel structure is colossally important on account of numerous diseases including stroke, Diabetic Retinopathy (DR) and coronary heart diseases, which can damage the retina vessel structure. Expand
  • 17
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Compressively sampled magnetic resonance image reconstruction using separable surrogate functional method
According to the theory of compressed sensing, magnetic resonance (MR) images can be well reconstructed from randomly sub-Nyquist sampling of the k-space data using a nonlinear recovery technique if… Expand
  • 10
A modified POCS‐based reconstruction method for compressively sampled MR imaging
TLDR
This article presents a novel method for MR reconstruction from highly undersampled k-space data based on projection onto convex set algorithm. Expand
  • 11
A Novel Fast GLM Approach for Retinal Vascular Segmentation and Denoising
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B-COSFIRE filter and VLM based retinal blood vessels segmentation and denoising
TLDR
The proposed method for retinal blood vessels detection consists of two major processes: denoising and vasculature segmentation, followed by postprocessing to eliminate unconnected pixels and to obtain Vessel Location Map. Expand
  • 7
Sparse Signal Recovery based on Hybrid Genetic Algorithm
TLDR
This paper introduces a novel technique of recovering an S-sparse signal from lesser number of random measurements (under sampled signal) using hybrid genetic algorithm (GA). Expand
  • 6
AN EFFICIENT TECHNIQUE FOR RETINAL VESSEL SEGMENTATION AND DENOISING USING MODIFIED ISODATA AND CLAHE
Retinal damage caused due to complications of diabetes is known as Diabetic Retinopathy (DR). In this case, the vision is obscured due to the damage of retinal tinny blood vessels of the retina.… Expand
  • 3