By Dr Imran Razzak

Books

, 2022, Proceedings of International Conference on Information Technology and Applications, Ullah A; Anwar S; Rocha Á; Gill S, (eds.), Springer Nature Singapore, http://dx.doi.org/10.1007/978-981-16-7618-5

Book Chapters

Boone Sifuentes T; Nazari A; Bouadjenek MR; Razzak I, 2024, 'MLT-Trans: Multi-level Token Transformer for Hierarchical Image Classification', in , pp. 385 - 396, http://dx.doi.org/10.1007/978-981-97-2259-4_29

Fung S; Lu X; Mykolaitis M; Razzak I; Kostkevičius G; Ozerenskis D, 2023, 'Anatomical Landmarks Localization for 3D Foot Point Clouds', in , pp. 627 - 638, http://dx.doi.org/10.1007/978-3-031-30111-7_53

Qayyum A; Mazher M; Niederer S; Razzak I, 2023, 'Segmentation of Intra-operative Ultrasound Using Self-supervised Learning Based 3D-ResUnet Model with Deep Supervision', in , pp. 55 - 62, http://dx.doi.org/10.1007/978-3-031-27324-7_7

Nguyen TT; Nguyen CM; Huynh-The T; Pham QV; Nguyen QVH; Razzak I; Reddi VJ, 2023, 'Solving Complex Sequential Decision-Making Problems by Deep Reinforcement Learning with Heuristic Rules', in , pp. 298 - 305, http://dx.doi.org/10.1007/978-3-031-36021-3_30

Dercksen K; de Vries AP; van Ginneken B, 2023, 'SimpleRad: Patient-Friendly Dutch Radiology Reports', in Lecture Notes in Computer Science, Springer Nature Switzerland, pp. 224 - 229, http://dx.doi.org/10.1007/978-3-031-28241-6_18

Qayyum A; Mazher M; Niederer S; Meriaudeau F; Razzak I, 2022, 'Automatic Cardiac Magnetic Resonance Respiratory Motions Assessment and Segmentation', in , pp. 485 - 493, http://dx.doi.org/10.1007/978-3-031-23443-9_46

Rehman A; Naz S; Khan A; Zaib A; Razzak I, 2022, 'Improving Coronavirus (COVID-19) Diagnosis Using Deep Transfer Learning', in , pp. 23 - 37, http://dx.doi.org/10.1007/978-981-16-7618-5_3

Qayyum A; Razzak I, 2021, 'Deep Residual Neural Network for Child’s Spontaneous Facial Expressions Recognition', in , pp. 282 - 291, http://dx.doi.org/10.1007/978-3-030-73973-7_27

Saeed Z; Ayaz Abbasi R; Razzak I, 2020, 'EveSense: What can you sense from Twitter?', in , pp. 491 - 495, http://dx.doi.org/10.1007/978-3-030-45442-5_64

Qayyum A; Razzak I; Mumtaz W, 2020, 'Hybrid Deep Shallow Network for Assessment of Depression Using Electroencephalogram Signals', in , pp. 245 - 257, http://dx.doi.org/10.1007/978-3-030-63836-8_21

Khan PI; Razzak I; Dengel A; Ahmed S, 2020, 'Improving Personal Health Mention Detection on Twitter Using Permutation Based Word Representation Learning', in , pp. 776 - 785, http://dx.doi.org/10.1007/978-3-030-63830-6_65

Rashid AH; Razzak I; Tanveer M; Robles-Kelly A, 2020, 'RipNet: A Lightweight One-Class Deep Neural Network for the Identification of RIP Currents', in , pp. 172 - 179, http://dx.doi.org/10.1007/978-3-030-63823-8_21

Saeed S; Naz S; Razzak MI, 2019, 'An application of deep learning in character recognition: An overview', in Smart Innovation, Systems and Technologies, pp. 53 - 81, http://dx.doi.org/10.1007/978-3-030-11479-4_3

Shirazi SH; Naz S; Razzak MI; Umar AI; Zaib A, 2018, 'Automated pathology image analysis', in Soft Computing Based Medical Image Analysis, pp. 13 - 29, http://dx.doi.org/10.1016/B978-0-12-813087-2.00026-9

Razzak MI; Naz S; Zaib A, 2018, 'Deep learning for medical image processing: Overview, challenges and the future', in Lecture Notes in Computational Vision and Biomechanics, pp. 323 - 350, http://dx.doi.org/10.1007/978-3-319-65981-7_12

Belaíd A; Razzak MI, 2014, 'Middle eastern character recognition', in Handbook of Document Image Processing and Recognition, pp. 427 - 457, http://dx.doi.org/10.1007/978-0-85729-859-1_13

Journal articles

Farooq H; Zafar Z; Saadat A; Khan TM; Iqbal S; Razzak I, 2024, 'LSSF-Net: Lightweight segmentation with self-awareness, spatial attention, and focal modulation', Artificial Intelligence in Medicine, 158, http://dx.doi.org/10.1016/j.artmed.2024.103012

Boulogne LH; Lorenz J; Kienzle D; Schön R; Ludwig K; Lienhart R; Jégou S; Li G; Chen C; Wang Q; Shi D; Maniparambil M; Müller D; Mertes S; Schröter N; Hellmann F; Elia M; Dirks I; Bossa MN; Berenguer AD; Mukherjee T; Vandemeulebroucke J; Sahli H; Deligiannis N; Gonidakis P; Huynh ND; Razzak I; Bouadjenek R; Verdicchio M; Borrelli P; Aiello M; Meakin JA; Lemm A; Russ C; Ionasec R; Paragios N; van Ginneken B; Revel-Dubois MP, 2024, 'The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data', Medical Image Analysis, 97, http://dx.doi.org/10.1016/j.media.2024.103230

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, 16, pp. 2279 - 2296, http://dx.doi.org/10.1007/s12559-024-10304-1

Islam MR; Razzak I; Wang X; Tilocca P; Xu G, 2024, 'Natural language interactions enhanced by data visualization to explore insurance claims and manage risk', Annals of Operations Research, 339, pp. 1569 - 1587, http://dx.doi.org/10.1007/s10479-021-04465-7

Khan IA; Razzak I; Pi D; Zia U; Kamal S; Hussain Y, 2024, 'A Novel Collaborative SRU Network with Dynamic Behaviour Aggregation, Reduced Communication Overhead and Explainable Features', IEEE Journal of Biomedical and Health Informatics, 28, pp. 3228 - 3235, http://dx.doi.org/10.1109/JBHI.2024.3352013

Saeed Z; Aslam F; Ghafoor A; Umair M; Razzak I, 2024, 'Exploring the impact of SEO-based ranking factors for voice queries through machine learning', Artificial Intelligence Review, 57, http://dx.doi.org/10.1007/s10462-024-10780-9

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

Qayyum A; Razzak I; Mazher M; Lu X; Niederer SA, 2024, 'Unsupervised unpaired multiple fusion adaptation aided with self-attention generative adversarial network for scar tissues segmentation framework', Information Fusion, 106, http://dx.doi.org/10.1016/j.inffus.2024.102226

Khalifa F; Razzak I; Kamal MA; Soliman A, 2024, 'Guest Editorial Advanced Machine Learning and Artificial Intelligence Tools for Computational Biology: Methodologies and Challenges', IEEE Journal of Biomedical and Health Informatics, 28, pp. 1883 - 1885, http://dx.doi.org/10.1109/JBHI.2024.3372662

Khan MA; Armghan A; Razzak I; Wang S; Li Y, 2024, 'Guest Editorial of the Special Issue: Economic Policy Uncertainty and the Energy Stock Market', Fluctuation and Noise Letters, 23, http://dx.doi.org/10.1142/S0219477524020012

Zogan H; Razzak I; Jameel S; Xu G, 2024, 'Hierarchical Convolutional Attention Network for Depression Detection on Social Media and Its Impact During Pandemic', IEEE Journal of Biomedical and Health Informatics, 28, pp. 1815 - 1823, http://dx.doi.org/10.1109/JBHI.2023.3243249

Abdel-Basset M; Hawash H; Moustafa N; Razzak I; Abd Elfattah M, 2024, 'Privacy-preserved learning from non-i.i.d data in fog-assisted IoT: A federated learning approach', Digital Communications and Networks, 10, pp. 404 - 415, http://dx.doi.org/10.1016/j.dcan.2022.12.013

Qayyum A; Benzinou A; Razzak I; Mazher M; Nguyen TT; Puig D; Vafaee F, 2024, '3D-IncNet: Head and Neck (H&N) Primary Tumors Segmentation and Survival Prediction', IEEE Journal of Biomedical and Health Informatics, 28, pp. 1185 - 1194, http://dx.doi.org/10.1109/JBHI.2022.3219445

Iqbal MZ; Razzak I; Qayyum A; Nguyen TT; Tanveer M; Sowmya A, 2024, 'Hybrid unsupervised paradigm based deformable image fusion for 4D CT lung image modality', Information Fusion, 102, http://dx.doi.org/10.1016/j.inffus.2023.102061

Reinke A; Tizabi MD; Baumgartner M; Eisenmann M; Heckmann-Nötzel D; Kavur AE; Rädsch T; Sudre CH; Acion L; Antonelli M; Arbel T; Bakas S; Benis A; Buettner F; Cardoso MJ; Cheplygina V; Chen J; Christodoulou E; Cimini BA; Farahani K; Ferrer L; Galdran A; van Ginneken B; Glocker B; Godau P; Hashimoto DA; Hoffman MM; Huisman M; Isensee F; Jannin P; Kahn CE; Kainmueller D; Kainz B; Karargyris A; Kleesiek J; Kofler F; Kooi T; Kopp-Schneider A; Kozubek M; Kreshuk A; Kurc T; Landman BA; Litjens G; Madani A; Maier-Hein K; Martel AL; Meijering E; Menze B; Moons KGM; Müller H; Nichyporuk B; Nickel F; Petersen J; Rafelski SM; Rajpoot N; Reyes M; Riegler MA; Rieke N; Saez-Rodriguez J; Sánchez CI; Shetty S; Summers RM; Taha AA; Tiulpin A; Tsaftaris SA; Van Calster B; Varoquaux G; Yaniv ZR; Jäger PF; Maier-Hein L, 2024, 'Understanding metric-related pitfalls in image analysis validation', Nature Methods, 21, pp. 182 - 194, http://dx.doi.org/10.1038/s41592-023-02150-0

Razzak I; Naz S; Alinejad-Rokny H; Nguyen TN; Khalifa F, 2024, 'A Cascaded Mutliresolution Ensemble Deep Learning Framework for Large Scale Alzheimer's Disease Detection Using Brain MRIs', IEEE/ACM Transactions on Computational Biology and Bioinformatics, 21, pp. 573 - 581, http://dx.doi.org/10.1109/TCBB.2022.3219032

Usman M; Rehman A; Shahid A; Rehman AU; Gho SM; Lee A; Khan TM; Razzak I, 2024, 'Advancing Metaverse-Based Healthcare With Multimodal Neuroimaging Fusion Via Multi-Task Adversarial Variational Autoencoder for Brain Age Estimation', IEEE Journal of Biomedical and Health Informatics, http://dx.doi.org/10.1109/JBHI.2024.3505421

De Vente C; Vermeer KA; Jaccard N; Wang H; Sun H; Khader F; Truhn D; Aimyshev T; Zhanibekuly Y; Le TD; Galdran A; Ballester MAG; Carneiro G; Devika RG; Sethumadhavan HP; Puthussery D; Liu H; Yang Z; Kondo S; Kasai S; Wang E; Durvasula A; Heras J; Zapata MA; Araujo T; Aresta G; Bogunovic H; Arikan M; Lee YC; Cho HB; Choi YH; Qayyum A; Razzak I; Van Ginneken B; Lemij HG; Sanchez CI, 2024, 'AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge', IEEE Transactions on Medical Imaging, 43, pp. 542 - 557, http://dx.doi.org/10.1109/TMI.2023.3313786

Zhao T; Song X; Li M; Li J; Luo W; Razzak I, 2024, 'Distributed Optimization of Graph Convolutional Network Using Subgraph Variance', IEEE Transactions on Neural Networks and Learning Systems, 35, pp. 10764 - 10775, http://dx.doi.org/10.1109/TNNLS.2023.3243904

Hassanin M; Moustafa N; Razzak I; Tanveer M; Ormrod D; Slay J, 2024, 'Dynamic Hypersphere Embedding Scale Against Adversarial Attacks', IEEE Transactions on Engineering Management, 71, pp. 12475 - 12486, http://dx.doi.org/10.1109/TEM.2022.3194487

Khan IA; Razzak I; Pi D; Khan N; Hussain Y; Li B; Kousar T, 2024, 'Fed-Inforce-Fusion: A federated reinforcement-based fusion model for security and privacy protection of IoMT networks against cyber-attacks', Information Fusion, 101, http://dx.doi.org/10.1016/j.inffus.2023.102002

Huang KH; Huang YB; Lin YX; Hua KL; Tanveer M; Lu X; Razzak I, 2024, 'GRA: Graph Representation Alignment for Semi-Supervised Action Recognition', IEEE Transactions on Neural Networks and Learning Systems, 35, pp. 11896 - 11905, http://dx.doi.org/10.1109/TNNLS.2023.3347593

Razzak I; Bouadjenek R; Cheema A; Hameed IA; Xu G; Beheshti A, 2024, 'Guest Editorial: Special Issue on Generating Human Readable Explanations in NLP', IEEE Transactions on Computational Social Systems, 11, pp. 4552 - 4555, http://dx.doi.org/10.1109/TCSS.2024.3427223

Iqbal S; Khan TM; Naqvi SS; Naveed A; Usman M; Khan HA; Razzak I, 2024, 'LDMRes-Net: A Lightweight Neural Network for Efficient Medical Image Segmentation on IoT and Edge Devices', IEEE Journal of Biomedical and Health Informatics, 28, pp. 3860 - 3871, http://dx.doi.org/10.1109/JBHI.2023.3331278

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

Masood A; Naseem U; Rashid J; Kim J; Razzak I, 2024, 'Review on enhancing clinical decision support system using machine learning', CAAI Transactions on Intelligence Technology, http://dx.doi.org/10.1049/cit2.12286

Islam MR; Akter S; Islam L; Razzak I; Wang X; Xu G, 2024, 'Strategies for evaluating visual analytics systems: A systematic review and new perspectives', Information Visualization, 23, pp. 84 - 101, http://dx.doi.org/10.1177/14738716231212568

Razzak I; Bouadjenek MR; Saris RA; Ding W, 2024, 'Support Matrix Machine via Joint ℓ2,1 and Nuclear Norm Minimization Under Matrix Completion Framework for Classification of Corrupted Data', IEEE Transactions on Neural Networks and Learning Systems, 35, pp. 16341 - 16352, http://dx.doi.org/10.1109/TNNLS.2023.3293888

Wahab A; Khan TM; Iqbal S; AlShammari B; Alhaqbani B; Razzak I, 2024, 'Latent fingerprint enhancement for accurate minutiae detection', Procedia Computer Science, 246, pp. 1558 - 1567, http://dx.doi.org/10.1016/j.procs.2024.09.722

Xie W; Jacobs C; Charbonnier J-P; van Ginneken B, 2024, 'Structure and position-aware graph neural network for airway labeling.', Med Image Anal, 97, pp. 103286, http://dx.doi.org/10.1016/j.media.2024.103286

Umer S; Sardar A; Rout RK; Tanveer M; Razzak I, 2023, 'IoT-Enabled Multimodal Biometric Recognition System in Secure Environment', IEEE Internet of Things Journal, 10, pp. 21457 - 21466, http://dx.doi.org/10.1109/JIOT.2023.3299465

Rehman A; Khan A; Fatima G; Naz S; Razzak I, 2023, 'Review on chest pathogies detection systems using deep learning techniques', Artificial Intelligence Review, 56, pp. 12607 - 12653, http://dx.doi.org/10.1007/s10462-023-10457-9

Shamsi A; Asgharnezhad H; Bouchani Z; Jahanian K; Saberi M; Wang X; Razzak I; Alizadehsani R; Mohammadi A; Alinejad-Rokny H, 2023, 'A novel uncertainty-aware deep learning technique with an application on skin cancer diagnosis', Neural Computing and Applications, 35, pp. 22179 - 22188, http://dx.doi.org/10.1007/s00521-023-08930-1

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