By Dr Imran Razzak

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

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

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

Razzak I; Khan MK; Xu G; Khalifa F, 2023, 'Guest Editorial Open and Interpretable AI in Computational Pathology', IEEE Journal of Biomedical and Health Informatics, 27, pp. 1657 - 1660, http://dx.doi.org/10.1109/JBHI.2023.3252839

Alyasseri ZAA; Khader AT; Al-Betar MA; Yang XS; Mohammed MA; Abdulkareem KH; Kadry S; Razzak I, 2023, 'Multi-objective flower pollination algorithm: a new technique for EEG signal denoising', Neural Computing and Applications, 35, pp. 7943 - 7962, http://dx.doi.org/10.1007/s00521-021-06757-2

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

Sharif Z; Jung LT; Razzak I; Alazab M, 2023, 'Adaptive and Priority-Based Resource Allocation for Efficient Resources Utilization in Mobile-Edge Computing', IEEE Internet of Things Journal, 10, pp. 3079 - 3093, http://dx.doi.org/10.1109/JIOT.2021.3111838

Rehman A; Razzak I; Xu G, 2023, 'Federated Learning for Privacy Preservation of Healthcare Data From Smartphone-Based Side-Channel Attacks', IEEE Journal of Biomedical and Health Informatics, 27, pp. 684 - 690, http://dx.doi.org/10.1109/JBHI.2022.3171852

Asim MN; Ibrahim MA; Malik MI; Razzak I; Dengel A; Ahmed S, 2023, 'Histone-Net: a multi-paradigm computational framework for histone occupancy and modification prediction', Complex and Intelligent Systems, 9, pp. 399 - 419, http://dx.doi.org/10.1007/s40747-022-00802-w

Hu J; Kaur K; Lin H; Wang X; Hassan MM; Razzak I; Hammoudeh M, 2023, 'Intelligent Anomaly Detection of Trajectories for IoT Empowered Maritime Transportation Systems', IEEE Transactions on Intelligent Transportation Systems, 24, pp. 2382 - 2391, http://dx.doi.org/10.1109/TITS.2022.3162491

Lakhan A; Mohammed MA; Rashid AN; Kadry S; Abdulkareem KH; Nedoma J; Martinek R; Razzak I, 2023, 'Restricted Boltzmann Machine Assisted Secure Serverless Edge System for Internet of Medical Things', IEEE Journal of Biomedical and Health Informatics, 27, pp. 673 - 683, http://dx.doi.org/10.1109/JBHI.2022.3178660

Bilic P; Christ P; Li HB; Vorontsov E; Ben-Cohen A; Kaissis G; Szeskin A; Jacobs C; Mamani GEH; Chartrand G; Lohöfer F; Holch JW; Sommer W; Hofmann F; Hostettler A; Lev-Cohain N; Drozdzal M; Amitai MM; Vivanti R; Sosna J; Ezhov I; Sekuboyina A; Navarro F; Kofler F; Paetzold JC; Shit S; Hu X; Lipková J; Rempfler M; Piraud M; Kirschke J; Wiestler B; Zhang Z; Hülsemeyer C; Beetz M; Ettlinger F; Antonelli M; Bae W; Bellver M; Bi L; Chen H; Chlebus G; Dam EB; Dou Q; Fu CW; Georgescu B; Giró-i-Nieto X; Gruen F; Han X; Heng PA; Hesser J; Moltz JH; Igel C; Isensee F; Jäger P; Jia F; Kaluva KC; Khened M; Kim I; Kim JH; Kim S; Kohl S; Konopczynski T; Kori A; Krishnamurthi G; Li F; Li H; Li J; Li X; Lowengrub J; Ma J; Maier-Hein K; Maninis KK; Meine H; Merhof D; Pai A; Perslev M; Petersen J; Pont-Tuset J; Qi J; Qi X; Rippel O; Roth K; Sarasua I; Schenk A; Shen Z; Torres J; Wachinger C; Wang C; Weninger L; Wu J; Xu D; Yang X; Yu SCH; Yuan Y; Yue M; Zhang L; Cardoso J; Bakas S; Braren R, 2023, 'The Liver Tumor Segmentation Benchmark (LiTS)', Medical Image Analysis, 84, http://dx.doi.org/10.1016/j.media.2022.102680

Zhao T; Song X; Li M; Li J; Luo W; Razzak I, 2023, 'Distributed Optimization of Graph Convolutional Network Using Subgraph Variance', IEEE Transactions on Neural Networks and Learning Systems, http://dx.doi.org/10.1109/TNNLS.2023.3243904

Hong L; Modirrousta MH; Hossein Nasirpour M; Mirshekari Chargari M; Mohammadi F; Moravvej SV; Rezvanishad L; Rezvanishad M; Bakhshayeshi I; Alizadehsani R; Razzak I; Alinejad-Rokny H; Nahavandi S, 2023, 'GAN-LSTM-3D: An efficient method for lung tumour 3D reconstruction enhanced by attention-based LSTM', CAAI Transactions on Intelligence Technology, http://dx.doi.org/10.1049/cit2.12223

Zogan H; Razzak I; Jameel S; Xu G, 2023, 'Hierarchical Convolutional Attention Network for Depression Detection on Social Media and Its Impact During Pandemic', IEEE Journal of Biomedical and Health Informatics, http://dx.doi.org/10.1109/JBHI.2023.3243249

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

Rashid AH; Razzak I; Tanveer M; Hobbs M, 2023, 'Reducing rip current drowning: An improved residual based lightweight deep architecture for rip detection', ISA Transactions, 132, pp. 199 - 207, http://dx.doi.org/10.1016/j.isatra.2022.05.015

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

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