By Dr Imran Razzak

Journal articles

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

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

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

He W; Xu G; Razzak I, 2023, 'Social responses to the COVID-19 pandemic', Behaviour and Information Technology, 42, pp. 171 - 173, http://dx.doi.org/10.1080/0144929X.2023.2176977

Khan F; Alturki R; Rahman MA; Mastorakis S; Razzak I; Shah ST, 2023, 'Trustworthy and Reliable Deep-Learning-Based Cyberattack Detection in Industrial IoT', IEEE Transactions on Industrial Informatics, 19, pp. 1030 - 1038, http://dx.doi.org/10.1109/TII.2022.3190352

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

van Leeuwen KG; Becks MJ; Grob D; de Lange F; Rutten JHE; Schalekamp S; Rutten MJCM; van Ginneken B; de Rooij M; Meijer FJA, 2023, 'AI-support for the detection of intracranial large vessel occlusions: One-year prospective evaluation.', Heliyon, 9, pp. e19065, http://dx.doi.org/10.1016/j.heliyon.2023.e19065

Bándi P; Balkenhol M; van Dijk M; Kok M; van Ginneken B; van der Laak J; Litjens G, 2023, 'Continual learning strategies for cancer-independent detection of lymph node metastases.', Med Image Anal, 85, pp. 102755, http://dx.doi.org/10.1016/j.media.2023.102755

Xie W; Jacobs C; Charbonnier J-P; van Ginneken B, 2023, 'Dense regression activation maps for lesion segmentation in CT scans of COVID-19 patients.', Med Image Anal, 86, pp. 102771, http://dx.doi.org/10.1016/j.media.2023.102771

Calli E; Van Ginneken B; Sogancioglu E; Murphy K, 2023, 'FRODO: An In-Depth Analysis of a System to Reject Outlier Samples From a Trained Neural Network.', IEEE Trans Med Imaging, 42, pp. 971 - 981, http://dx.doi.org/10.1109/TMI.2022.3221898

Hering A; Hansen L; Mok TCW; Chung ACS; Siebert H; Hager S; Lange A; Kuckertz S; Heldmann S; Shao W; Vesal S; Rusu M; Sonn G; Estienne T; Vakalopoulou M; Han L; Huang Y; Yap P-T; Brudfors M; Balbastre Y; Joutard S; Modat M; Lifshitz G; Raviv D; Lv J; Li Q; Jaouen V; Visvikis D; Fourcade C; Rubeaux M; Pan W; Xu Z; Jian B; De Benetti F; Wodzinski M; Gunnarsson N; Sjolund J; Grzech D; Qiu H; Li Z; Thorley A; Duan J; Grosbrohmer C; Hoopes A; Reinertsen I; Xiao Y; Landman B; Huo Y; Murphy K; Lessmann N; van Ginneken B; Dalca AV; Heinrich MP, 2023, 'Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning.', IEEE Trans Med Imaging, 42, pp. 697 - 712, http://dx.doi.org/10.1109/TMI.2022.3213983

Hendrix N; Hendrix W; van Dijke K; Maresch B; Maas M; Bollen S; Scholtens A; de Jonge M; Ong L-LS; van Ginneken B; Rutten M, 2023, 'Musculoskeletal radiologist-level performance by using deep learning for detection of scaphoid fractures on conventional multi-view radiographs of hand and wrist.', Eur Radiol, 33, pp. 1575 - 1588, http://dx.doi.org/10.1007/s00330-022-09205-4

Hendrix W; Rutten M; Hendrix N; van Ginneken B; Schaefer-Prokop C; Scholten ET; Prokop M; Jacobs C, 2023, 'Trends in the incidence of pulmonary nodules in chest computed tomography: 10-year results from two Dutch hospitals.', Eur Radiol, 33, pp. 8279 - 8288, http://dx.doi.org/10.1007/s00330-023-09826-3

van Ginneken B, 2023, 'Tuberculosis Detection from Chest Radiographs: Stop Training Radiologists Now.', Radiology, 306, pp. 138 - 139, http://dx.doi.org/10.1148/radiol.221769

Akter M; Moustafa N; Lynar T; Razzak I, 2022, 'Edge Intelligence: Federated Learning-Based Privacy Protection Framework for Smart Healthcare Systems', IEEE Journal of Biomedical and Health Informatics, 26, pp. 5805 - 5816, http://dx.doi.org/10.1109/JBHI.2022.3192648

Rahman MA; Mukta MY; Asyhari AT; Moustafa N; Patwary MN; Yousuf A; Razzak I; Gupta BB, 2022, 'Renewable Energy Re-Distribution via Multiscale IoT for 6G-Oriented Green Highway Management', IEEE Transactions on Intelligent Transportation Systems, 23, pp. 23771 - 23780, http://dx.doi.org/10.1109/TITS.2022.3203208

Vinayahalingam S; van Nistelrooij N; van Ginneken B; Bressem K; Tröltzsch D; Heiland M; Flügge T; Gaudin R, 2022, 'Detection of mandibular fractures on panoramic radiographs using deep learning.', Sci Rep, 12, pp. 19596, http://dx.doi.org/10.1038/s41598-022-23445-w

Salim S; Moustafa N; Turnbull B; Razzak I, 2022, 'Perturbation-enabled Deep Federated Learning for Preserving Internet of Things-based Social Networks', ACM Transactions on Multimedia Computing, Communications and Applications, 18, http://dx.doi.org/10.1145/3537899

Ahmed M; Moustafa N; Suaib Akhter AFM; Razzak I; Surid E; Anwar A; Shahen Shah AFM; Zengin A, 2022, 'A Blockchain-Based Emergency Message Transmission Protocol for Cooperative VANET', IEEE Transactions on Intelligent Transportation Systems, 23, pp. 19624 - 19633, http://dx.doi.org/10.1109/TITS.2021.3115245

Rahman MA; Rahim MA; Rahman MM; Moustafa N; Razzak I; Ahmad T; Patwary MN, 2022, 'A Secure and Intelligent Framework for Vehicle Health Monitoring Exploiting Big-Data Analytics', IEEE Transactions on Intelligent Transportation Systems, 23, pp. 19727 - 19742, http://dx.doi.org/10.1109/TITS.2021.3138255

Javed AR; Shahzad F; Rehman SU; Zikria YB; Razzak I; Jalil Z; Xu G, 2022, 'Future smart cities requirements, emerging technologies, applications, challenges, and future aspects', Cities, 129, http://dx.doi.org/10.1016/j.cities.2022.103794

Razzak I; Naz S; Ashraf A; Khalifa F; Bouadjenek MR; Mumtaz S, 2022, 'Mutliresolutional ensemble PartialNet for Alzheimer detection using magnetic resonance imaging data', International Journal of Intelligent Systems, 37, pp. 6613 - 6630, http://dx.doi.org/10.1002/int.22856

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

Anajemba JH; Iwendi C; Razzak I; Ansere JA; Okpalaoguchi IM, 2022, 'A Counter-Eavesdropping Technique for Optimized Privacy of Wireless Industrial IoT Communications', IEEE Transactions on Industrial Informatics, 18, pp. 6445 - 6454, http://dx.doi.org/10.1109/TII.2021.3140109

Rahim MA; Rahman MA; Rahman MM; Zaman N; Moustafa N; Razzak I, 2022, 'An Intelligent Risk Management Framework for Monitoring Vehicular Engine Health', IEEE Transactions on Green Communications and Networking, 6, pp. 1298 - 1306, http://dx.doi.org/10.1109/TGCN.2022.3179350

Razzak I; Eklund P; Xu G, 2022, 'Improving healthcare outcomes using multimedia big data analytics', Neural Computing and Applications, 34, pp. 15095 - 15097, http://dx.doi.org/10.1007/s00521-022-07397-w

Lefevre K; Arora C; Lee K; Zaslavsky A; Bouadjenek MR; Hassani A; Razzak I, 2022, 'ModelOps for enhanced decision-making and governance in emergency control rooms', Environment Systems and Decisions, 42, pp. 402 - 416, http://dx.doi.org/10.1007/s10669-022-09855-1

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