By Dr Imran Razzak

Journal articles

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

Razzak I; Bouadjenek MR; Saris RA; Ding W, 2023, 'Support Matrix Machine via Joint <inline-formula> <tex-math notation="LaTeX">$\ell_{2,1}$</tex-math> </inline-formula> and Nuclear Norm Minimization Under Matrix Completion Framework for Classification of Corrupted Data', IEEE Transactions on Neural Networks and Learning Systems, http://dx.doi.org/10.1109/TNNLS.2023.3293888

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

Rehman A; Naz S; Razzak I, 2022, 'Leveraging big data analytics in healthcare enhancement: trends, challenges and opportunities', Multimedia Systems, 28, pp. 1339 - 1371, http://dx.doi.org/10.1007/s00530-020-00736-8

Razzak I; Moustafa N; Mumtaz S; Xu G, 2022, 'One-class tensor machine with randomized projection for large-scale anomaly detection in high-dimensional and noisy data', International Journal of Intelligent Systems, 37, pp. 4515 - 4536, http://dx.doi.org/10.1002/int.22729

Antonelli M; Reinke A; Bakas S; Farahani K; Kopp-Schneider A; Landman BA; Litjens G; Menze B; Ronneberger O; Summers RM; van Ginneken B; Bilello M; Bilic P; Christ PF; Do RKG; Gollub MJ; Heckers SH; Huisman H; Jarnagin WR; McHugo MK; Napel S; Pernicka JSG; Rhode K; Tobon-Gomez C; Vorontsov E; Meakin JA; Ourselin S; Wiesenfarth M; Arbeláez P; Bae B; Chen S; Daza L; Feng J; He B; Isensee F; Ji Y; Jia F; Kim I; Maier-Hein K; Merhof D; Pai A; Park B; Perslev M; Rezaiifar R; Rippel O; Sarasua I; Shen W; Son J; Wachinger C; Wang L; Wang Y; Xia Y; Xu D; Xu Z; Zheng Y; Simpson AL; Maier-Hein L; Cardoso MJ, 2022, 'The Medical Segmentation Decathlon.', Nat Commun, 13, pp. 4128, http://dx.doi.org/10.1038/s41467-022-30695-9

Harlianto NI; Oosterhof N; Foppen W; Hol ME; Wittenberg R; van der Veen PH; van Ginneken B; Mohamed Hoesein FAA; Verlaan J-J; de Jong PA; Westerink J; UCC-SMART-Studygroup , 2022, 'Diffuse idiopathic skeletal hyperostosis is associated with incident stroke in patients with increased cardiovascular risk.', Rheumatology (Oxford), 61, pp. 2867 - 2874, http://dx.doi.org/10.1093/rheumatology/keab835

Zhou Z; Gaurav A; Gupta BB; Lytras MD; Razzak I, 2022, 'A Fine-Grained Access Control and Security Approach for Intelligent Vehicular Transport in 6G Communication System', IEEE Transactions on Intelligent Transportation Systems, 23, pp. 9726 - 9735, http://dx.doi.org/10.1109/TITS.2021.3106825

Razzak I; Eklund P; Xu G, 2022, 'Introduction to the special section on securing IoT-based critical infrastructure (VSI-cei)', Computers and Electrical Engineering, 101, http://dx.doi.org/10.1016/j.compeleceng.2022.108118

Ghodhbani H; Neji M; Razzak I; Alimi AM, 2022, 'You can try without visiting: a comprehensive survey on virtually try-on outfits', Multimedia Tools and Applications, 81, pp. 19967 - 19998, http://dx.doi.org/10.1007/s11042-022-12802-6

Razzak I; Xu G; Khan MK, 2022, 'Guest Editorial: Privacy-Preserving Federated Machine Learning Solutions for Enhanced Security of Critical Energy Infrastructures', IEEE Transactions on Industrial Informatics, 18, pp. 3449 - 3451, http://dx.doi.org/10.1109/TII.2021.3128962

Lin JD; Lin HH; Dy J; Chen JC; Tanveer M; Razzak I; Hua KL, 2022, 'Lightweight Face Anti-Spoofing Network for Telehealth Applications', IEEE Journal of Biomedical and Health Informatics, 26, pp. 1987 - 1996, http://dx.doi.org/10.1109/JBHI.2021.3107735

Anwar S; Rauf A; Ramzan M; Razzak I; Saadatmad M, 2022, 'NLP-SEA 2021 Workshop Summary', ACM SIGSOFT Software Engineering Notes, 47, pp. 15 - 16, http://dx.doi.org/10.1145/3520273.3520279

Qazi EUH; Imran M; Haider N; Shoaib M; Razzak I, 2022, 'An intelligent and efficient network intrusion detection system using deep learning', Computers and Electrical Engineering, 99, http://dx.doi.org/10.1016/j.compeleceng.2022.107764

Tanveer M; Rashid AH; Ganaie MA; Reza M; Razzak I; Hua KL, 2022, 'Classification of Alzheimer's Disease Using Ensemble of Deep Neural Networks Trained Through Transfer Learning', IEEE Journal of Biomedical and Health Informatics, 26, pp. 1453 - 1463, http://dx.doi.org/10.1109/JBHI.2021.3083274

Beheshti I; Ganaie MA; Paliwal V; Rastogi A; Razzak I; Tanveer M, 2022, 'Predicting Brain Age Using Machine Learning Algorithms: A Comprehensive Evaluation', IEEE Journal of Biomedical and Health Informatics, 26, pp. 1432 - 1440, http://dx.doi.org/10.1109/JBHI.2021.3083187

Abdel-Basset M; Moustafa N; Hawash H; Razzak I; Sallam KM; Elkomy OM, 2022, 'Federated Intrusion Detection in Blockchain-Based Smart Transportation Systems', IEEE Transactions on Intelligent Transportation Systems, 23, pp. 2523 - 2537, http://dx.doi.org/10.1109/TITS.2021.3119968

Qayyum A; Razzak I; Moustafa N; Mazher M, 2022, 'Progressive ShallowNet for large scale dynamic and spontaneous facial behaviour analysis in children', Image and Vision Computing, 119, pp. 104375, http://dx.doi.org/10.1016/j.imavis.2022.104375

Khan IA; Moustafa N; Razzak I; Tanveer M; Pi D; Pan Y; Ali BS, 2022, 'XSRU-IoMT: Explainable simple recurrent units for threat detection in Internet of Medical Things networks', Future Generation Computer Systems, 127, pp. 181 - 193, http://dx.doi.org/10.1016/j.future.2021.09.010

Razzak I; Naz S; Alinejad-Rokny H; Nguyen TN; Khalifa F, 2022, 'A Cascaded Mutliresolution Ensemble Deep Learning Framework for Large Scale Alzheimer&#x0027;s Disease Detection using Brain MRIs', IEEE/ACM Transactions on Computational Biology and Bioinformatics, http://dx.doi.org/10.1109/TCBB.2022.3219032

Yakhchi S; Behehsti A; Ghafari SM; Razzak I; Orgun M; Elahi M, 2022, 'A Convolutional Attention Network for Unifying General and Sequential Recommenders', Information Processing and Management, 59, http://dx.doi.org/10.1016/j.ipm.2021.102755

Moustafa N; Khan IA; Hassanin M; Ormrod D; Pi D; Razzak I; Slay J, 2022, 'DFSat: Deep Federated Learning for Identifying Cyber Threats in IoT-based Satellite Networks', IEEE Transactions on Industrial Informatics, http://dx.doi.org/10.1109/TII.2022.3214652

Hassanin M; Moustafa N; Razzak I; Tanveer M; Ormrod D; Slay J, 2022, 'Dynamic Hypersphere Embedding Scale Against Adversarial Attacks', IEEE Transactions on Engineering Management, http://dx.doi.org/10.1109/TEM.2022.3194487

Zogan H; Razzak I; Wang X; Jameel S; Xu G, 2022, 'Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media', World Wide Web, 25, pp. 281 - 304, http://dx.doi.org/10.1007/s11280-021-00992-2

Khan PI; Siddiqui SA; Razzak I; Dengel A; Ahmed S, 2022, 'Improving Health Mention Classification of Social Media Content using Contrastive Adversarial Training', IEEE Access, http://dx.doi.org/10.1109/ACCESS.2022.3200159

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, http://dx.doi.org/10.1007/s10669-022-09855-1

Islam MR; Razzak I; Wang X; Tilocca P; Xu G, 2022, 'Natural language interactions enhanced by data visualization to explore insurance claims and manage risk', Annals of Operations Research, http://dx.doi.org/10.1007/s10479-021-04465-7

Razzak I; Naz S, 2022, 'Unit-Vise: Deep Shallow Unit-Vise Residual Neural Networks With Transition Layer For Expert Level Skin Cancer Classification', IEEE/ACM Transactions on Computational Biology and Bioinformatics, 19, pp. 1225 - 1234, http://dx.doi.org/10.1109/TCBB.2020.3039358

Khan TM; Khan MAU; Rehman NU; Naveed K; Afridi IU; Naqvi SS; Raazak I, 2022, 'Width-wise vessel bifurcation for improved retinal vessel segmentation', Biomedical Signal Processing and Control, 71, http://dx.doi.org/10.1016/j.bspc.2021.103169

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