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

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

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

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

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, http://dx.doi.org/10.1109/JBHI.2024.3352013

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

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, http://dx.doi.org/10.1109/TNNLS.2023.3347593

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, http://dx.doi.org/10.1142/S0219477524020012

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

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, http://dx.doi.org/10.1016/j.dcan.2022.12.013

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

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

Sharma R; Goel T; Tanveer M; Suganthan PN; Razzak I; Murugan R, 2023, 'Conv-eRVFL: Convolutional Neural Network Based Ensemble RVFL Classifier for Alzheimer's Disease Diagnosis', IEEE Journal of Biomedical and Health Informatics, 27, pp. 4995 - 5003, http://dx.doi.org/10.1109/JBHI.2022.3215533

Daud A; Islam NU; Li X; Razzak I; Hayat MK, 2023, 'Identifying Rising Stars via Supervised Machine Learning', IEEE Transactions on Computational Social Systems, 10, pp. 2374 - 2384, http://dx.doi.org/10.1109/TCSS.2022.3178070

Qayyum A; Razzak I; Tanveer M; Mazher M, 2023, 'Spontaneous Facial Behavior Analysis Using Deep Transformer-based Framework for Child-computer Interaction', ACM Transactions on Multimedia Computing, Communications and Applications, 20, http://dx.doi.org/10.1145/3539577

Athar S; Abbasi RA; Saeed Z; Said A; Razzak I; Salim FD, 2023, 'ASBiNE: Dynamic Bipartite Network Embedding for incorporating structural and attribute information', World Wide Web, 26, pp. 3463 - 3481, http://dx.doi.org/10.1007/s11280-023-01189-5

Xie W; Jacobs C; Charbonnier J-P; Slebos DJ; van Ginneken B, 2023, 'Emphysema subtyping on thoracic computed tomography scans using deep neural networks.', Sci Rep, 13, pp. 14147, http://dx.doi.org/10.1038/s41598-023-40116-6

Hasib KM; Islam MR; Sakib S; Akbar MA; Razzak I; Alam MS, 2023, 'Depression Detection From Social Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey', IEEE Transactions on Computational Social Systems, 10, pp. 1568 - 1586, http://dx.doi.org/10.1109/TCSS.2023.3263128

Qayyum A; Mazhar M; Razzak I; Bouadjenek MR, 2023, 'Multilevel depth-wise context attention network with atrous mechanism for segmentation of COVID19 affected regions', Neural Computing and Applications, 35, pp. 16143 - 16155, http://dx.doi.org/10.1007/s00521-021-06636-w

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

Nasser N; Emad-ul-Haq Q; Imran M; Ali A; Razzak I; Al-Helali A, 2023, 'A smart healthcare framework for detection and monitoring of COVID-19 using IoT and cloud computing', Neural Computing and Applications, 35, pp. 13775 - 13789, http://dx.doi.org/10.1007/s00521-021-06396-7

Ayaz Z; Naz S; Khan NH; Razzak I; Imran M, 2023, 'Automated methods for diagnosis of Parkinson’s disease and predicting severity level', Neural Computing and Applications, 35, pp. 14499 - 14534, http://dx.doi.org/10.1007/s00521-021-06626-y

Schiliro F; Moustafa N; Razzak I; Beheshti A, 2023, 'DeepCog: A Trustworthy Deep Learning-Based Human Cognitive Privacy Framework in Industrial Policing', IEEE Transactions on Intelligent Transportation Systems, 24, pp. 7485 - 7493, http://dx.doi.org/10.1109/TITS.2022.3166631

Qayyum A; Razzak I; Tanveer M; Mazher M; Alhaqbani B, 2023, 'High-Density Electroencephalography and Speech Signal Based Deep Framework for Clinical Depression Diagnosis', IEEE/ACM Transactions on Computational Biology and Bioinformatics, 20, pp. 2587 - 2597, http://dx.doi.org/10.1109/TCBB.2023.3257175

Kausar A; Razzak I; Shapiai MI; Beheshti A, 2023, '3D shallow deep neural network for fast and precise segmentation of left atrium', Multimedia Systems, 29, pp. 1739 - 1749, http://dx.doi.org/10.1007/s00530-021-00776-8

Khan PI; Razzak I; Dengel A; Ahmed S, 2023, 'Performance Comparison of Transformer-Based Models on Twitter Health Mention Classification', IEEE Transactions on Computational Social Systems, 10, pp. 1140 - 1149, http://dx.doi.org/10.1109/TCSS.2022.3143768

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

Qayyum A; Mazher M; Nuhu A; Benzinou A; Malik AS; Razzak I, 2023, 'Assessment of physiological states from contactless face video: a sparse representation approach', Computing, 105, pp. 761 - 781, http://dx.doi.org/10.1007/s00607-021-01028-3

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