Syed Saud Naqvi
Orcid: 0000-0002-6335-3538
According to our database1,
Syed Saud Naqvi
authored at least 50 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Eng. Appl. Artif. Intell., January, 2024
2023
Retinal vessel segmentation via a Multi-resolution Contextual Network and adversarial learning.
Neural Networks, August, 2023
Robust retinal blood vessel segmentation using a patch-based statistical adaptive multi-scale line detector.
Digit. Signal Process., July, 2023
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Eng. Appl. Artif. Intell., 2023
ESDMR-Net: A Lightweight Network With Expand-Squeeze and Dual Multiscale Residual Connections for Medical Image Segmentation.
CoRR, 2023
LMBiS-Net: A Lightweight Multipath Bidirectional Skip Connection based CNN for Retinal Blood Vessel Segmentation.
CoRR, 2023
EDDense-Net: Fully Dense Encoder Decoder Network for Joint Segmentation of Optic Cup and Disc.
CoRR, 2023
CoRR, 2023
LDMRes-Net: Enabling Real-Time Disease Monitoring through Efficient Image Segmentation.
CoRR, 2023
GLAN: GAN Assisted Lightweight Attention Network for Biomedical Imaging Based Diagnostics.
Cogn. Comput., 2023
2022
A Residual Encoder-Decoder Network for Segmentation of Retinal Image-Based Exudates in Diabetic Retinopathy Screening.
CoRR, 2022
Comput. Biol. Medicine, 2022
Biomed. Signal Process. Control., 2022
T-Net: A Resource-Constrained Tiny Convolutional Neural Network for Medical Image Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
Proceedings of the Neural Information Processing - 29th International Conference, 2022
2021
Leveraging Image Complexity in Macro-Level Neural Network Design for Medical Image Segmentation.
CoRR, 2021
Screening of Glaucoma disease from retinal vessel images using semantic segmentation.
Comput. Electr. Eng., 2021
IEEE Access, 2021
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021
Putting Current State of the art Object Detectors to the Test: Towards Industry Applicable Leather Surface Defect Detection.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021
2020
IEEE Access, 2020
Accurate Pixel-Wise Skin Segmentation Using Shallow Fully Convolutional Neural Network.
IEEE Access, 2020
Residual Connection-Based Encoder Decoder Network (RCED-Net) for Retinal Vessel Segmentation.
IEEE Access, 2020
Ensemble Convolutional Neural Networks With Knowledge Transfer for Leather Defect Classification in Industrial Settings.
IEEE Access, 2020
Residual Multiscale Full Convolutional Network (RM-FCN) for High Resolution Semantic Segmentation of Retinal Vasculature.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020
Exploiting Residual Edge Information in Deep Fully Convolutional Neural Networks For Retinal Vessel Segmentation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the Neural Information Processing - 27th International Conference, 2020
2019
Automatic optic disk detection and segmentation by variational active contour estimation in retinal fundus images.
Signal Image Video Process., 2019
Signal Image Video Process., 2019
GP based smart reversible watermarking of depth image based rendering for stereoscopic images.
Multim. Tools Appl., 2019
Fully automated multi-parametric brain tumour segmentation using superpixel based classification.
Expert Syst. Appl., 2019
Multi-parametric optic disc segmentation using superpixel based feature classification.
Expert Syst. Appl., 2019
Comput. Electr. Eng., 2019
An Improved Retinal Vessel Segmentation Framework Using Frangi Filter Coupled With the Probabilistic Patch Based Denoiser.
IEEE Access, 2019
On the Application of Automated Machine Vision for Leather Defect Inspection and Grading: A Survey.
IEEE Access, 2019
2018
Neurocomputing, 2018
2017
Hybrid Precoding via Successive Refinement for Millimeter Wave MIMO Communication Systems.
IEEE Commun. Lett., 2017
2016
Feature Quality-Based Dynamic Feature Selection for Improving Salient Object Detection.
IEEE Trans. Image Process., 2016
Learning feature fusion strategies for various image types to detect salient objects.
Pattern Recognit., 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
Proceedings of the 2015 International Conference on Image and Vision Computing New Zealand, 2015
2014
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
Salient object detection using learning classifiersystems that compute action mappings.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
Genetic algorithms based feature combination for salient object detection, for autonomously identified image domain types.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
Combining object-based local and global feature statistics for salient object search.
Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013
Optimizing visual attention models for predicting human fixations using Genetic Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013