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Tariq Mahmood Khan
Tariq Mahmood Khan
Associate Professor at Naif Arab University for Security Sciences
Verified email at nauss.edu.sa
Title
Cited by
Cited by
Year
Machine learning: Quantum vs classical
TM Khan, A Robles-Kelly
IEEE Access 8, 219275-219294, 2020
1622020
Impact of ICA-based image enhancement technique on retinal blood vessels segmentation
TA Soomro, TM Khan, MAU Khan, J Gao, M Paul, L Zheng
IEEE Access 6, 3524-3538, 2018
1202018
Fully automated multi-parametric brain tumour segmentation using superpixel based classification
ZU Rehman, SS Naqvi, TM Khan, MA Khan, T Bashir
Expert systems with applications 118, 598-613, 2019
1072019
Efficient hardware implementation for fingerprint image enhancement using anisotropic Gaussian filter
TM Khan, DG Bailey, MAU Khan, Y Kong
IEEE Transactions on Image processing 26 (5), 2116-2126, 2017
932017
CDED-Net: Joint segmentation of optic disc and optic cup for glaucoma screening
M Tabassum, TM Khan, M Arsalan, SS Naqvi, M Ahmed, HA Madni, ...
IEEE access 8, 102733-102747, 2020
862020
Intelligent reversible watermarking technique in medical images using GA and PSO
T Naheed, I Usman, TM Khan, AH Dar, MF Shafique
Optik 125 (11), 2515-2525, 2014
802014
Residual connection-based encoder decoder network (RCED-Net) for retinal vessel segmentation
TM Khan, M Alhussein, K Aurangzeb, M Arsalan, SS Naqvi, SJ Nawaz
IEEE Access 8, 131257-131272, 2020
772020
Automatic localization of pupil using eccentricity and iris using gradient based method
TM Khan, MA Khan, SA Malik, SA Khan, T Bashir, AH Dar
Optics and Lasers in Engineering 49 (2), 177-187, 2011
772011
Recent trends and advances in fundus image analysis: A review
S Iqbal, TM Khan, K Naveed, SS Naqvi, SJ Nawaz
Computers in Biology and Medicine 151, 106277, 2022
712022
Multi-parametric optic disc segmentation using superpixel based feature classification
ZU Rehman, SS Naqvi, TM Khan, M Arsalan, MA Khan, MA Khalil
Expert Systems with Applications 120, 461-473, 2019
702019
A review on glaucoma disease detection using computerized techniques
F Abdullah, R Imtiaz, HA Madni, HA Khan, TM Khan, MAU Khan, ...
IEEE Access 9, 37311-37333, 2021
672021
Computerised approaches for the detection of diabetic retinopathy using retinal fundus images: a survey
TA Soomro, J Gao, T Khan, AFM Hani, MAU Khan, M Paul
Pattern Analysis and Applications 20, 927-961, 2017
672017
T-Net: A resource-constrained tiny convolutional neural network for medical image segmentation
TM Khan, A Robles-Kelly, SS Naqvi
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2022
642022
Iris localization using local histogram and other image statistics
MT Ibrahim, TM Khan, SA Khan, MA Khan, L Guan
Optics and Lasers in Engineering 50 (5), 645-654, 2012
642012
An improved retinal vessel segmentation framework using frangi filter coupled with the probabilistic patch based denoiser
A Khawaja, TM Khan, K Naveed, SS Naqvi, NU Rehman, SJ Nawaz
IEEE Access 7, 164344-164361, 2019
632019
Width-wise vessel bifurcation for improved retinal vessel segmentation
TM Khan, MAU Khan, NU Rehman, K Naveed, IU Afridi, SS Naqvi, ...
Biomedical Signal Processing and Control 71, 103169, 2022
592022
On the application of automated machine vision for leather defect inspection and grading: a survey
M Aslam, TM Khan, SS Naqvi, G Holmes, R Naffa
IEEE Access 7, 176065-176086, 2019
552019
Screening of Glaucoma disease from retinal vessel images using semantic segmentation
R Imtiaz, TM Khan, SS Naqvi, M Arsalan, SJ Nawaz
Computers & Electrical Engineering 91, 107036, 2021
482021
Towards automated eye diagnosis: an improved retinal vessel segmentation framework using ensemble block matching 3D filter
K Naveed, F Abdullah, HA Madni, MAU Khan, TM Khan, SS Naqvi
Diagnostics 11 (1), 114, 2021
482021
Role of image contrast enhancement technique for ophthalmologist as diagnostic tool for diabetic retinopathy
TA Soomro, J Gao, MAU Khan, TM Khan, M Paul
2016 International conference on digital image computing: techniques and …, 2016
472016
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