By Dr Imran Razzak

Journal articles

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'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

Sogancioglu E; Murphy K; Th Scholten E; Boulogne LH; Prokop M; van Ginneken B, 2022, 'Automated estimation of total lung volume using chest radiographs and deep learning.', Med Phys, 49, pp. 4466 - 4477, http://dx.doi.org/10.1002/mp.15655

Schilpzand M; Neff C; van Dillen J; van Ginneken B; Heskes T; de Korte C; van den Heuvel T, 2022, 'Automatic Placenta Localization From Ultrasound Imaging in a Resource-Limited Setting Using a Predefined Ultrasound Acquisition Protocol and Deep Learning.', Ultrasound Med Biol, 48, pp. 663 - 674, http://dx.doi.org/10.1016/j.ultrasmedbio.2021.12.006

Adams LC; Makowski MR; Engel G; Rattunde M; Busch F; Asbach P; Niehues SM; Vinayahalingam S; van Ginneken B; Litjens G; Bressem KK, 2022, 'Dataset of prostate MRI annotated for anatomical zones and cancer.', Data Brief, 45, pp. 108739, http://dx.doi.org/10.1016/j.dib.2022.108739

Çallı E; Murphy K; Scholten ET; Schalekamp S; van Ginneken B, 2022, 'Explainable emphysema detection on chest radiographs with deep learning.', PLoS One, 17, pp. e0267539, http://dx.doi.org/10.1371/journal.pone.0267539

van Leeuwen KG; de Rooij M; Schalekamp S; van Ginneken B; Rutten MJCM, 2022, 'How does artificial intelligence in radiology improve efficiency and health outcomes?', Pediatr Radiol, 52, pp. 2087 - 2093, http://dx.doi.org/10.1007/s00247-021-05114-8

Schaap MJ; Cardozo NJ; Patel A; de Jong EMGJ; van Ginneken B; Seyger MMB, 2022, 'Image-based automated Psoriasis Area Severity Index scoring by Convolutional Neural Networks.', J Eur Acad Dermatol Venereol, 36, pp. 68 - 75, http://dx.doi.org/10.1111/jdv.17711

Noothout JMH; Lessmann N; van Eede MC; van Harten LD; Sogancioglu E; Heslinga FG; Veta M; van Ginneken B; Išgum I, 2022, 'Knowledge distillation with ensembles of convolutional neural networks for medical image segmentation.', J Med Imaging (Bellingham), 9, pp. 052407, http://dx.doi.org/10.1117/1.JMI.9.5.052407

Harlianto NI; Westerink J; Hol ME; Wittenberg R; Foppen W; van der Veen PH; van Ginneken B; Verlaan J-J; de Jong PA; Mohamed Hoesein FAA; UCC-SMART Study Group , 2022, 'Patients with diffuse idiopathic skeletal hyperostosis have an increased burden of thoracic aortic calcifications.', Rheumatol Adv Pract, 6, pp. rkac060, http://dx.doi.org/10.1093/rap/rkac060

Adams LC; Makowski MR; Engel G; Rattunde M; Busch F; Asbach P; Niehues SM; Vinayahalingam S; van Ginneken B; Litjens G; Bressem KK, 2022, 'Prostate158 - An expert-annotated 3T MRI dataset and algorithm for prostate cancer detection.', Comput Biol Med, 148, pp. 105817, http://dx.doi.org/10.1016/j.compbiomed.2022.105817

Chlebus G; Schenk A; Hahn HK; Van Ginneken B; Meine H, 2022, 'Robust Segmentation Models Using an Uncertainty Slice Sampling-Based Annotation Workflow', IEEE Access, 10, pp. 4728 - 4738, http://dx.doi.org/10.1109/access.2022.3141021

Schreuder A; Jacobs C; Lessmann N; Broeders MJM; Silva M; Išgum I; de Jong PA; van den Heuvel MM; Sverzellati N; Prokop M; Pastorino U; Schaefer-Prokop CM; van Ginneken B, 2022, 'Scan-based competing death risk model for re-evaluating lung cancer computed tomography screening eligibility.', Eur Respir J, 59, http://dx.doi.org/10.1183/13993003.01613-2021

Pinckaers H; van Ginneken B; Litjens G, 2022, 'Streaming Convolutional Neural Networks for End-to-End Learning With Multi-Megapixel Images.', IEEE Trans Pattern Anal Mach Intell, 44, pp. 1581 - 1590, http://dx.doi.org/10.1109/TPAMI.2020.3019563

Sufi FK; Razzak I; Khalil I, 2022, 'Tracking Anti-Vax Social Movement Using AI-Based Social Media Monitoring', IEEE Transactions on Technology and Society, 3, pp. 290 - 299, http://dx.doi.org/10.1109/tts.2022.3192757

Razzak I; Perez-Franco R; Eklund P, 2021, 'Call for Special Issue Papers: Levering Emerging Technologies in Supply Chain Management', Big data, 9, pp. 411 - 412, http://dx.doi.org/10.1089/big.2021.29047.cfp3

Ahmad R; Naz S; Razzak I, 2021, 'Efficient skew detection and correction in scanned document images through clustering of probabilistic hough transforms', Pattern Recognition Letters, 152, pp. 93 - 99, http://dx.doi.org/10.1016/j.patrec.2021.09.014

Afaq A; Haider N; Baig MZ; Khan KS; Imran M; Razzak I, 2021, 'Machine learning for 5G security: Architecture, recent advances, and challenges', Ad Hoc Networks, 123, http://dx.doi.org/10.1016/j.adhoc.2021.102667

Naseem U; Razzak I; Eklund PW, 2021, 'A survey of pre-processing techniques to improve short-text quality: a case study on hate speech detection on twitter', Multimedia Tools and Applications, 80, pp. 35239 - 35266, http://dx.doi.org/10.1007/s11042-020-10082-6

Uddin MA; Ayaz M; Mansour A; Aggoune EHM; Sharif Z; Razzak I, 2021, 'Cloud-connected flying edge computing for smart agriculture', Peer-to-Peer Networking and Applications, 14, pp. 3405 - 3415, http://dx.doi.org/10.1007/s12083-021-01191-6

Sharma DK; Dhankhar T; Agrawal G; Singh SK; Gupta D; Nebhen J; Razzak I, 2021, 'Anomaly detection framework to prevent DDoS attack in fog empowered IoT networks', Ad Hoc Networks, 121, http://dx.doi.org/10.1016/j.adhoc.2021.102603

Razzak I; Perez-Franco R; Eklund P, 2021, 'Call for Special Issue Papers: Levering Emerging Technologies in Supply Chain Management', Big data, 9, pp. 406 - 407, http://dx.doi.org/10.1089/big.2021.29047.cfp2

van Leeuwen KG; Meijer FJA; Schalekamp S; Rutten MJCM; van Dijk EJ; van Ginneken B; Govers TM; de Rooij M, 2021, 'Cost-effectiveness of artificial intelligence aided vessel occlusion detection in acute stroke: an early health technology assessment.', Insights Imaging, 12, pp. 133, http://dx.doi.org/10.1186/s13244-021-01077-4

Naseem U; Razzak I; Khan SK; Prasad M, 2021, 'A Comprehensive Survey on Word Representation Models: From Classical to State-of-the-Art Word Representation Language Models', ACM Transactions on Asian and Low-Resource Language Information Processing, 20, http://dx.doi.org/10.1145/3434237

Usama M; Malluhi QM; Zakaria N; Razzak I; Iqbal W, 2021, 'An efficient secure data compression technique based on chaos and adaptive Huffman coding', Peer-to-Peer Networking and Applications, 14, pp. 2651 - 2664, http://dx.doi.org/10.1007/s12083-020-00981-8

Razzak I; Perez-Franco R; Eklund P, 2021, 'Call for Special Issue Papers: Levering Emerging Technologies in Supply Chain Management', Big data, 9, pp. 328 - 329, http://dx.doi.org/10.1089/big.2021.29047.cfp

Naseem U; Razzak I; Khushi M; Eklund PW; Kim J, 2021, 'COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis', IEEE Transactions on Computational Social Systems, 8, pp. 976 - 988, http://dx.doi.org/10.1109/TCSS.2021.3051189

Ashraf A; Naz S; Shirazi SH; Razzak I; Parsad M, 2021, 'Deep transfer learning for alzheimer neurological disorder detection', Multimedia Tools and Applications, 80, pp. 30117 - 30142, http://dx.doi.org/10.1007/s11042-020-10331-8

Zhang JJ; Wang FY; Yuan Y; Xu G; Liu H; Gao W; Jameel S; Razzak I; Eklund P; Ahmed S; Qin R; Li J; Wang X; Yang DN; Turgut D; Benslimane A; Prasad N; Chen KC, 2021, 'Guest Editorial Computational Social Systems for COVID-19 Emergency Management and beyond', IEEE Transactions on Computational Social Systems, 8, pp. 928 - 929, http://dx.doi.org/10.1109/TCSS.2021.3095472

Harlianto NI; Westerink J; Foppen W; Hol ME; Wittenberg R; van der Veen PH; van Ginneken B; Kuperus JS; Verlaan J-J; de Jong PA; Mohamed Hoesein FAA; On Behalf Of The Ucc-Smart-Study Group , 2021, 'Visceral Adipose Tissue and Different Measures of Adiposity in Different Severities of Diffuse Idiopathic Skeletal Hyperostosis.', J Pers Med, 11, http://dx.doi.org/10.3390/jpm11070663

Gupta BB; Yadav K; Razzak I; Psannis K; Castiglione A; Chang X, 2021, 'A novel approach for phishing URLs detection using lexical based machine learning in a real-time environment', Computer Communications, 175, pp. 47 - 57, http://dx.doi.org/10.1016/j.comcom.2021.04.023

Qayyum A; Razzak I; Malik AS; Anwar S, 2021, 'Fusion of CNN and sparse representation for threat estimation near power lines and poles infrastructure using aerial stereo imagery', Technological Forecasting and Social Change, 168, http://dx.doi.org/10.1016/j.techfore.2021.120762

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