By Dr Tariq Khan

Conference Papers

Khan TM; Arsalan M; Iqbal S; Razzak I; Meijering E, 2023, 'Feature Enhancer Segmentation Network (FES-Net)for Vessel Segmentation', in 2023 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2023, pp. 160 - 167, http://dx.doi.org/10.1109/DICTA60407.2023.00030

Iqbal MZ; Razzak I; Qayyum A; Khan T; Sowmya A, 2023, 'Hybrid Unsupervised Deformable Image Registration for 4D CT Lung Image Intra-modalities', in 2023 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2023, pp. 441 - 447, http://dx.doi.org/10.1109/DICTA60407.2023.00067

Brahmavar SB; Rajesh R; Dash T; Vig L; Verlekar TT; Hasan MM; Khan T; Meijering E; Srinivasan A, 2023, 'IKD+: Reliable Low Complexity Deep Models for Retinopathy Classification', in Proceedings - International Conference on Image Processing, ICIP, pp. 2400 - 2404, http://dx.doi.org/10.1109/ICIP49359.2023.10221899

Khan TM; Arsalan M; Robles-Kelly A; Meijering E, 2022, 'MKIS-Net: A Light-Weight Multi-Kernel Network for Medical Image Segmentation', in 2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA), IEEE, pp. 1 - 8, presented at 2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 30 November 2022 - 02 December 2022, http://dx.doi.org/10.1109/dicta56598.2022.10034573

Khan TM; Robles-Kelly A; Naqvi SS, 2022, 'T-Net: A Resource-Constrained Tiny Convolutional Neural Network for Medical Image Segmentation', in Proceedings - 2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, pp. 1799 - 1808, http://dx.doi.org/10.1109/WACV51458.2022.00186

Aslam M; Khan TM; Naqvi SS; Holmes G, 2021, 'Putting Current State of the art Object Detectors to the Test: Towards Industry Applicable Leather Surface Defect Detection', in DICTA 2021 - 2021 International Conference on Digital Image Computing: Techniques and Applications, http://dx.doi.org/10.1109/DICTA52665.2021.9647409

Khan TM; Robles-Kelly A; Naqvi SS, 2021, 'RC-Net: A Convolutional Neural Network for Retinal Vessel Segmentation', in DICTA 2021 - 2021 International Conference on Digital Image Computing: Techniques and Applications, http://dx.doi.org/10.1109/DICTA52665.2021.9647320

Khan TM; Robles-Kelly A; Naqvi SS; Arsalan M, 2021, 'Residual Multiscale Full Convolutional Network (RM-FCN) for High Resolution Semantic Segmentation of Retinal Vasculature', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 324 - 333, http://dx.doi.org/10.1007/978-3-030-73973-7_31

Khan TM; Naqvi SS; Arsalan M; Khan MA; Khan HA; Haider A, 2020, 'Exploiting Residual Edge Information in Deep Fully Convolutional Neural Networks for Retinal Vessel Segmentation', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207411

Razzak I; Khan TM, 2020, 'One-Class Support Tensor Machines with Bounded Hinge Loss Function for Anomaly Detection', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207429

Khan TM; Abdullah F; Naqvi SS; Arsalan M; Khan MA, 2020, 'Shallow Vessel Segmentation Network for Automatic Retinal Vessel Segmentation', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207668

Razzak I; Shoukat G; Naz S; Khan TM, 2020, 'Skin Lesion Analysis Toward Accurate Detection of Melanoma using Multistage Fully Connected Residual Network', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9206881

Khan TM; Robles-Kelly A, 2020, 'A Derivative-Free Method for Quantum Perceptron Training in Multi-layered Neural Networks', in Communications in Computer and Information Science, pp. 241 - 250, http://dx.doi.org/10.1007/978-3-030-63823-8_29

Khan TM; Robles-Kelly A; Naqvi SS, 2020, 'A Semantically Flexible Feature Fusion Network for Retinal Vessel Segmentation', in Communications in Computer and Information Science, pp. 159 - 167, http://dx.doi.org/10.1007/978-3-030-63820-7_18

Khan MAU; Khan TM; Aziz KI; Ahmad SS; Mir N; Elbakush E, 2019, 'The Use of Fourier Phase Symmetry for Thin Vessel Detection in Retinal Fundus Images', in 2019 IEEE 19th International Symposium on Signal Processing and Information Technology, ISSPIT 2019, http://dx.doi.org/10.1109/ISSPIT47144.2019.9001804

Abbas RM; Khan TM; Khan MAU; Khan HA, 2019, 'Fast and accurate iris segmentation methods using LoG filters', in Proceedings - 2019 International Conference on Computing, Electronics and Communications Engineering, iCCECE 2019, pp. 124 - 129, http://dx.doi.org/10.1109/iCCECE46942.2019.8941830

Alhalabi W; Khan MAU; Khan TM, 2019, 'Orientation Field Estimation for Noisy Fingerprint Image Enhancement', in Procedia Computer Science, pp. 352 - 369, http://dx.doi.org/10.1016/j.procs.2019.12.118

Mehmood M; Khan TM; Khan MAU; Naqvi SS; Alhalabi W, 2019, 'Vessel Intensity Profile Uniformity Improvement for Retinal Vessel Segmentation', in Procedia Computer Science, pp. 370 - 380, http://dx.doi.org/10.1016/j.procs.2019.12.119

Abdullah-Al-Nahid ; Khan TM; Kong Y, 2017, 'Breast Image Classification Based on Concatenated Statistical, Structural and Textural Features', in Proceedings - UKSim-AMSS 2016: 10th European Modelling Symposium on Computer Modelling and Simulation, pp. 27 - 32, http://dx.doi.org/10.1109/EMS.2016.015

Abdullah-Al-Nahid ; Khan TM; Kong Y, 2017, 'Performance Analysis of Integrated Canny and Fuzzy-Logic Based (2-by-2 Cell Block) Edge-Detection Algorithms', in Proceedings - UKSim-AMSS 2016: 10th European Modelling Symposium on Computer Modelling and Simulation, pp. 64 - 69, http://dx.doi.org/10.1109/EMS.2016.021

Soomro TA; Khan MAU; Gao J; Khan TM; Paul M; Mir N, 2016, 'Automatic Retinal Vessel Extraction Algorithm', in 2016 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2016, http://dx.doi.org/10.1109/DICTA.2016.7797013

Soomro TA; Gao J; Khan MAU; Khan TM; Paul M, 2016, 'Role of Image Contrast Enhancement Technique for Ophthalmologist as Diagnostic Tool for Diabetic Retinopathy', in 2016 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2016, http://dx.doi.org/10.1109/DICTA.2016.7797078

Abdullah-Al-Nahid ; Khan TM; Kong Y, 2016, 'Breast Image Classification Based on Concatenated Statistical, Structural and Textural Features', in Aldabass D; Colla V; Vannuci M; Pantelous A (eds.), UKSIM-AMSS 10TH EUROPEAN MODELLING SYMPOSIUM ON COMPUTER MODELLING AND SIMULATION (EMS), IEEE, ITALY, Pisa, pp. 27 - 32, presented at 10th UKSim-AMSS European Modelling Symposium on Computer Modelling and Simulation (EMS), ITALY, Pisa, 28 November 2016 - 30 November 2016, http://dx.doi.org/10.1109/EMS.2016.14

Khan MAU; Soomro TA; Khan TM; Bailey DG; Gao J; Mir N, 2016, 'Automatic retinal vessel extraction algorithm based on contrast-sensitive schemes', in International Conference Image and Vision Computing New Zealand, http://dx.doi.org/10.1109/IVCNZ.2016.7804441

Khan TM; Kong Y; Khan MAU, 2015, 'Hardware implementation of fast pupil segmentation using region properties', in Proceedings of SPIE - The International Society for Optical Engineering, http://dx.doi.org/10.1117/12.2182881

Khan MAU; Khan TM; Khan SA, 2011, 'Coherence enhancement diffusion using multi-scale DFB', in 2011 7th International Conference on Emerging Technologies, ICET 2011, http://dx.doi.org/10.1109/ICET.2011.6048456

Khan MA; Khan A; Mahmood T; Abbas M; Muhammad N, 2010, 'Fingerprint image enhancement using Principal Component Analysis (PCA) filters', in 2010 International Conference on Information and Emerging Technologies, ICIET 2010, http://dx.doi.org/10.1109/ICIET.2010.5625686

Khan MA; Khan A; Mahmood T; Abbas M; Alimgeer KS, 2010, 'Multi-stage iterative FLD method for face recognition', in 2010 International Conference on Information and Emerging Technologies, ICIET 2010, http://dx.doi.org/10.1109/ICIET.2010.5625683

Ibrahim MT; Khan TM; Khan MA; Guan L, 2010, 'Automatic segmentation of pupil using local histogram and standard deviation', in Proceedings of SPIE - The International Society for Optical Engineering, http://dx.doi.org/10.1117/12.863264

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