By Dr Tariq Khan

Book Chapters

Khan TM; Naqvi SS; Robles-Kelly A; Meijering E, 2023, 'Neural Network Compression by Joint Sparsity Promotion and Redundancy Reduction', in , pp. 612 - 623, http://dx.doi.org/10.1007/978-3-031-30105-6_51

Journal articles

Khan TM; Naqvi SS; Meijering E, 2024, 'ESDMR-Net: A lightweight network with expand-squeeze and dual multiscale residual connections for medical image segmentation', Engineering Applications of Artificial Intelligence, 133, http://dx.doi.org/10.1016/j.engappai.2024.107995

Mazher M; Razzak I; Qayyum A; Tanveer M; Beier S; Khan T; Niederer SA, 2024, 'Self-supervised spatial–temporal transformer fusion based federated framework for 4D cardiovascular image segmentation', Information Fusion, 106, http://dx.doi.org/10.1016/j.inffus.2024.102256

Usman M; Rehman A; Masood S; Khan TM; Qadir J, 2024, 'Intelligent healthcare system for IoMT-integrated sonography: Leveraging multi-scale self-guided attention networks and dynamic self-distillation', Internet of Things (Netherlands), 25, http://dx.doi.org/10.1016/j.iot.2024.101065

Naveed A; Naqvi SS; Khan TM; Razzak I, 2024, 'PCA: Progressive class-wise attention for skin lesions diagnosis', Engineering Applications of Artificial Intelligence, 127, http://dx.doi.org/10.1016/j.engappai.2023.107417

Naveed A; Naqvi SS; Iqbal S; Razzak I; Khan HA; Khan TM, 2024, 'RA-Net: Region-Aware Attention Network for Skin Lesion Segmentation', Cognitive Computation, http://dx.doi.org/10.1007/s12559-024-10304-1

Iqbal S; Khan TM; Naqvi SS; Holmes G, 2023, 'MLR-Net: A multi-layer residual convolutional neural network for leather defect segmentation', Engineering Applications of Artificial Intelligence, 126, http://dx.doi.org/10.1016/j.engappai.2023.107007

Manan MA; Jinchao F; Khan TM; Yaqub M; Ahmed S; Chuhan IS, 2023, 'Semantic segmentation of retinal exudates using a residual encoder–decoder architecture in diabetic retinopathy', Microscopy Research and Technique, 86, pp. 1443 - 1460, http://dx.doi.org/10.1002/jemt.24345

Aslam M; Naqvi SS; Khan TM; Holmes G; Naffa R, 2023, 'Trainable guided attention based robust leather defect detection', Engineering Applications of Artificial Intelligence, 124, http://dx.doi.org/10.1016/j.engappai.2023.106438

Khan TM; Naqvi SS; Robles-Kelly A; Razzak I, 2023, 'Retinal vessel segmentation via a Multi-resolution Contextual Network and adversarial learning', Neural Networks, 165, pp. 310 - 320, http://dx.doi.org/10.1016/j.neunet.2023.05.029

Iqbal S; Naveed K; Naqvi SS; Naveed A; Khan TM, 2023, 'Robust retinal blood vessel segmentation using a patch-based statistical adaptive multi-scale line detector', Digital Signal Processing: A Review Journal, 139, http://dx.doi.org/10.1016/j.dsp.2023.104075

Naqvi SS; Langah ZA; Khan HA; Khan MI; Bashir T; Razzak MI; Khan TM, 2023, 'GLAN: GAN Assisted Lightweight Attention Network for Biomedical Imaging Based Diagnostics', Cognitive Computation, 15, pp. 932 - 942, http://dx.doi.org/10.1007/s12559-023-10131-w

Khan TM; Arsalan M; Razzak I; Meijering E, 2023, 'Simple and robust depth-wise cascaded network for polyp segmentation', Engineering Applications of Artificial Intelligence, 121, http://dx.doi.org/10.1016/j.engappai.2023.106023

Arsalan M; Khan TM; Naqvi SS; Nawaz M; Razzak I, 2023, 'Prompt Deep Light-Weight Vessel Segmentation Network (PLVS-Net)', IEEE/ACM Transactions on Computational Biology and Bioinformatics, 20, pp. 1363 - 1371, http://dx.doi.org/10.1109/TCBB.2022.3211936

Iqbal S; Qureshi AN; Alhussein M; Choudhry IA; Aurangzeb K; Khan TM, 2023, 'Fusion of Textural and Visual Information for Medical Image Modality Retrieval Using Deep Learning-Based Feature Engineering', IEEE Access, 11, pp. 93238 - 93253, http://dx.doi.org/10.1109/ACCESS.2023.3310245

Iqbal S; Khan TM; Naqvi SS; Naveed A; Usman M; Khan HA; Razzak I, 2023, 'LDMRes-Net: A Lightweight Neural Network for Efficient Medical Image Segmentation on IoT and Edge Devices', IEEE Journal of Biomedical and Health Informatics, http://dx.doi.org/10.1109/JBHI.2023.3331278

Qayyum A; Mazher M; Khan T; Razzak I, 2023, 'Semi-supervised 3D-InceptionNet for segmentation and survival prediction of head and neck primary cancers', Engineering Applications of Artificial Intelligence, 117, http://dx.doi.org/10.1016/j.engappai.2022.105590

Qayyum A; Razzak I; Mazher M; Khan T; Ding W; Niederer S, 2023, 'Two-Stage Self-Supervised Contrastive Learning Aided Transformer for Real-Time Medical Image Segmentation', IEEE Journal of Biomedical and Health Informatics, http://dx.doi.org/10.1109/JBHI.2023.3340956

Iqbal S; Naqvi SS; Khan HA; Saadat A; Khan TM, 2022, 'G-Net Light: A Lightweight Modified Google Net for Retinal Vessel Segmentation', Photonics, 9, http://dx.doi.org/10.3390/photonics9120923

Khan TM; Naqvi SS; Meijering E, 2022, 'Leveraging image complexity in macro-level neural network design for medical image segmentation', Scientific Reports, 12, http://dx.doi.org/10.1038/s41598-022-26482-7

Iqbal S; Khan TM; Naveed K; Naqvi SS; Nawaz SJ, 2022, 'Recent trends and advances in fundus image analysis: A review', Computers in Biology and Medicine, 151, http://dx.doi.org/10.1016/j.compbiomed.2022.106277

Nawaz M; Chan RW; Malik A; Khan T; Cao P, 2022, 'Hand Gestures Classification Using Electrical Impedance Tomography Images', IEEE Sensors Journal, 22, pp. 18922 - 18932, http://dx.doi.org/10.1109/JSEN.2022.3193718

Naqvi RA; Arsalan M; Qaiser T; Khan TM; Razzak I, 2022, 'Sensor Data Fusion Based on Deep Learning for Computer Vision Applications and Medical Applications', Sensors, 22, http://dx.doi.org/10.3390/s22208058

Aslam M; Khan TM; Naqvi SS; Holmes G, 2022, 'An Ensemble of Fine-Tuned Deep Learning Networks for Wet-Blue Leather Segmentation', Journal of the American Leather Chemists Association, 117, pp. 164 - 171

Khan TM; Khan MAU; Rehman NU; Naveed K; Afridi IU; Naqvi SS; Raazak I, 2022, 'Width-wise vessel bifurcation for improved retinal vessel segmentation', Biomedical Signal Processing and Control, 71, http://dx.doi.org/10.1016/j.bspc.2021.103169

Aslam M; Khan TM; Naqvi SS; Holmes G; Naffa R, 2021, 'Learning to recognize irregular features on leather surfaces', Journal of the American Leather Chemists Association, 116, pp. 169 - 178

Imtiaz R; Khan TM; Naqvi SS; Arsalan M; Nawaz SJ, 2021, 'Screening of Glaucoma disease from retinal vessel images using semantic segmentation', Computers and Electrical Engineering, 91, http://dx.doi.org/10.1016/j.compeleceng.2021.107036

Abdullah F; Imtiaz R; Madni HA; Khan HA; Khan TM; Khan MAU; Naqvi SS, 2021, 'A Review on Glaucoma Disease Detection Using Computerized Techniques', IEEE Access, 9, pp. 37311 - 37333, http://dx.doi.org/10.1109/ACCESS.2021.3061451

Naveed K; Abdullah F; Madni HA; Khan MAU; Khan TM; Naqvi SS, 2021, 'Towards automated eye diagnosis: An improved retinal vessel segmentation framework using ensemble block matching 3d filter', Diagnostics, 11, pp. 114, http://dx.doi.org/10.3390/diagnostics11010114

Khan TM; Bailey DG; Khan MAU; Kong Y, 2020, 'Real-time iris segmentation and its implementation on FPGA', Journal of Real-Time Image Processing, 17, pp. 1089 - 1102, http://dx.doi.org/10.1007/s11554-019-00859-w

Khan TM; Mehmood M; Naqvi SS; Butt MFU, 2020, 'A region growing and local adaptive thresholding-based optic disc detection', PLoS ONE, 15, pp. e0227566, http://dx.doi.org/10.1371/journal.pone.0227566

Minhas K; Khan TM; Arsalan M; Naqvi SS; Ahmed M; Khan HA; Haider MA; Haseeb A, 2020, 'Accurate Pixel-Wise Skin Segmentation Using Shallow Fully Convolutional Neural Network', IEEE Access, 8, pp. 156314 - 156327, http://dx.doi.org/10.1109/ACCESS.2020.3019183

Tabassum M; Khan TM; Arsalan M; Naqvi SS; Ahmed M; Madni HA; Mirza J, 2020, 'CDED-Net: Joint Segmentation of Optic Disc and Optic Cup for Glaucoma Screening', IEEE Access, 8, pp. 102733 - 102747, http://dx.doi.org/10.1109/ACCESS.2020.2998635

Aslam M; Khan TM; Naqvi SS; Holmes G; Naffa R, 2020, 'Ensemble convolutional neural networks with knowledge transfer for leather defect classification in industrial settings', IEEE Access, 8, pp. 198600 - 198614, http://dx.doi.org/10.1109/ACCESS.2020.3034731

Mukhtar N; Fournaris AP; Khan TM; Dimopoulos C; Kong Y, 2020, 'Improved hybrid approach for side-channel analysis using efficient convolutional neural network and dimensionality reduction', IEEE Access, 8, pp. 184298 - 184311, http://dx.doi.org/10.1109/ACCESS.2020.3029206

Khan TM; Robles-Kelly A, 2020, 'Machine Learning: Quantum vs Classical', IEEE Access, 8, pp. 219275 - 219294, http://dx.doi.org/10.1109/ACCESS.2020.3041719

Sabir M; Khan TM; Arshad M; Munawar S, 2020, 'Reducing computational complexity in fingerprint matching', Turkish Journal of Electrical Engineering and Computer Sciences, 28, pp. 2538 - 2551, http://dx.doi.org/10.3906/ELK-1907-113

Khan TM; Alhussein M; Aurangzeb K; Arsalan M; Naqvi SS; Nawaz SJ, 2020, 'Residual Connection-Based Encoder Decoder Network (RCED-Net) for Retinal Vessel Segmentation', IEEE Access, 8, pp. 131257 - 131272, http://dx.doi.org/10.1109/ACCESS.2020.3008899

Khawaja A; Khan TM; Khan MAU; Nawaz SJ, 2019, 'A multi-scale directional line detector for retinal vessel segmentation', Sensors (Switzerland), 19, pp. 4949, http://dx.doi.org/10.3390/s19224949

Khan MAU; Khan TM; Naqvi SS; Aurangzeb Khan M, 2019, 'GGM classifier with multi-scale line detectors for retinal vessel segmentation', Signal, Image and Video Processing, 13, pp. 1667 - 1675, http://dx.doi.org/10.1007/s11760-019-01515-3

Naqvi SS; Fatima N; Khan TM; Rehman ZU; Khan MA, 2019, 'Automatic optic disk detection and segmentation by variational active contour estimation in retinal fundus images', Signal, Image and Video Processing, 13, pp. 1191 - 1198, http://dx.doi.org/10.1007/s11760-019-01463-y

Khan TM; Bailey DG; Khan MAU; Kong Y, 2019, 'Efficient hardware implementation strategy for local normalization of fingerprint images', Journal of Real-Time Image Processing, 16, pp. 1263 - 1275, http://dx.doi.org/10.1007/s11554-016-0625-8

Khan MAU; Khan TM; Bailey DG; Soomro TA, 2019, 'A generalized multi-scale line-detection method to boost retinal vessel segmentation sensitivity', Pattern Analysis and Applications, 22, pp. 1177 - 1196, http://dx.doi.org/10.1007/s10044-018-0696-1

Khan MAU; Khan TM; Soomro TA; Mir N; Gao J, 2019, 'Boosting sensitivity of a retinal vessel segmentation algorithm', Pattern Analysis and Applications, 22, pp. 583 - 599, http://dx.doi.org/10.1007/s10044-017-0661-4

Afridi IU; Bashir T; Khattak HA; Khan TM; Imran M, 2019, 'Degraded image enhancement by image dehazing and Directional Filter Banks using Depth Image based Rendering for future freeview 3D-TV', PLoS ONE, 14, http://dx.doi.org/10.1371/journal.pone.0217246

Rehman ZU; Naqvi SS; Khan TM; Arsalan M; Khan MA; Khalil MA, 2019, 'Multi-parametric optic disc segmentation using superpixel based feature classification', Expert Systems with Applications, 120, pp. 461 - 473, http://dx.doi.org/10.1016/j.eswa.2018.12.008

Rehman ZU; Naqvi SS; Khan TM; Khan MA; Bashir T, 2019, 'Fully automated multi-parametric brain tumour segmentation using superpixel based classification', Expert Systems with Applications, 118, pp. 598 - 613, http://dx.doi.org/10.1016/j.eswa.2018.10.040

Khawaja A; Khan TM; Naveed K; Naqvi SS; Rehman NU; Junaid Nawaz S, 2019, 'An Improved Retinal Vessel Segmentation Framework Using Frangi Filter Coupled with the Probabilistic Patch Based Denoiser', IEEE Access, 7, pp. 164344 - 164361, http://dx.doi.org/10.1109/ACCESS.2019.2953259

Aslam M; Khan TM; Naqvi SS; Holmes G; Naffa R, 2019, 'On the Application of Automated Machine Vision for Leather Defect Inspection and Grading: A Survey', IEEE Access, 7, pp. 176065 - 176086, http://dx.doi.org/10.1109/ACCESS.2019.2957427

Khan MAU; Khan TM; Bailey DG; Kittaneh O, 2018, 'Deriving scale normalisation factors for a GLoG detector', IET Image Processing, 12, pp. 1673 - 1682, http://dx.doi.org/10.1049/iet-ipr.2017.0493

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