Syed Saud Naqvi
Syed Saud Naqvi
COMSATS University Islamabad
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Cited by
Cited by
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
A novel framework for rapid diagnosis of COVID-19 on computed tomography scans
T Akram, M Attique, S Gul, A Shahzad, M Altaf, SSR Naqvi, ...
Pattern analysis and applications, 1-14, 2021
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
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
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
Optimized RTL design and implementation of LZW algorithm for high bandwidth applications
R Naqvi, RA Riaz, F Siddiqui
Electrical Review 4, 279-285, 2011
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
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
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
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
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
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, 106277, 2022
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
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
A region growing and local adaptive thresholding-based optic disc detection
TM Khan, M Mehmood, SS Naqvi, MFU Butt
Plos one 15 (1), e0227566, 2020
Exploiting residual edge information in deep fully convolutional neural networks for retinal vessel segmentation
TM Khan, SS Naqvi, M Arsalan, MA Khan, HA Khan, A Haider
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
Automated diagnosis of leukemia: a comprehensive review
A Shah, SS Naqvi, K Naveed, N Salem, MAU Khan, KS Alimgeer
IEEE Access 9, 132097-132124, 2021
Automatic optic disk detection and segmentation by variational active contour estimation in retinal fundus images
SS Naqvi, N Fatima, TM Khan, ZU Rehman, MA Khan
Signal, Image and Video Processing 13, 1191-1198, 2019
A strategy for classification of “vaginal vs. cesarean section” delivery: bivariate empirical mode decomposition of cardiotocographic recordings
S Saleem, SS Naqvi, T Manzoor, A Saeed, N Ur Rehman, J Mirza
Frontiers in Physiology 10, 246, 2019
Learning feature fusion strategies for various image types to detect salient objects
M Iqbal, SS Naqvi, WN Browne, C Hollitt, M Zhang
Pattern Recognition 60, 106-120, 2016
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