By Dr Imran Razzak

Journal articles

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

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

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

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

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