By Dr Imran Razzak

Journal articles

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

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, 10, pp. 87900 - 87910, http://dx.doi.org/10.1109/ACCESS.2022.3200159

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

Khan SK; Naseem U; Siraj H; Razzak I; Imran M, 2021, 'The role of unmanned aerial vehicles and mmWave in 5G: Recent advances and challenges', Transactions on Emerging Telecommunications Technologies, 32, http://dx.doi.org/10.1002/ett.4241

Kamran I; Naz S; Razzak I; Imran M, 2021, 'Handwriting dynamics assessment using deep neural network for early identification of Parkinson's disease', Future Generation Computer Systems, 117, pp. 234 - 244, http://dx.doi.org/10.1016/j.future.2020.11.020

Uddin MA; Ayaz M; Mansour A; Aggoune EHM; El Fawal AH; Razzak I, 2021, 'Ground target finding mechanism for unmanned aerial vehicles to secure crop field data', Transactions on Emerging Telecommunications Technologies, 32, http://dx.doi.org/10.1002/ett.4210

Khattak A; Habib A; Asghar MZ; Subhan F; Razzak I; Habib A, 2021, 'Applying deep neural networks for user intention identification', Soft Computing, 25, pp. 2191 - 2220, http://dx.doi.org/10.1007/s00500-020-05290-z

Islam MR; Liu S; Biddle R; Razzak I; Wang X; Tilocca P; Xu G, 2021, 'Discovering dynamic adverse behavior of policyholders in the life insurance industry', Technological Forecasting and Social Change, 163, http://dx.doi.org/10.1016/j.techfore.2020.120486

Qayyum A; Razzak I; Tanveer M; Kumar A, 2021, 'Depth-wise dense neural network for automatic COVID19 infection detection and diagnosis', Annals of Operations Research, http://dx.doi.org/10.1007/s10479-021-04154-5

Khan MZ; Khan MUG; Saba T; Razzak I; Rehman A; Bahaj SA, 2021, 'Hot-Spot Zone Detection to Tackle Covid19 Spread by Fusing the Traditional Machine Learning and Deep Learning Approaches of Computer Vision', IEEE Access, 9, pp. 100040 - 100049, http://dx.doi.org/10.1109/ACCESS.2021.3094720

Yousaf W; Umar A; Shirazi SH; Khan Z; Razzak I; Zaka M, 2021, 'Patch-CNN: Deep learning for logo detection and brand recognition', Journal of Intelligent and Fuzzy Systems, 40, pp. 3849 - 3862, http://dx.doi.org/10.3233/JIFS-190660

Zhou SK; Greenspan H; Davatzikos C; Duncan JS; van Ginneken B; Madabhushi A; Prince JL; Rueckert D; Summers RM, 2021, 'A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises.', Proc IEEE Inst Electr Electron Eng, 109, pp. 820 - 838, http://dx.doi.org/10.1109/JPROC.2021.3054390

Bortsova G; González-Gonzalo C; Wetstein SC; Dubost F; Katramados I; Hogeweg L; Liefers B; van Ginneken B; Pluim JPW; Veta M; Sánchez CI; de Bruijne M, 2021, 'Adversarial attack vulnerability of medical image analysis systems: Unexplored factors.', Med Image Anal, 73, pp. 102141, http://dx.doi.org/10.1016/j.media.2021.102141

Meyer A; Chlebus G; Rak M; Schindele D; Schostak M; van Ginneken B; Schenk A; Meine H; Hahn HK; Schreiber A; Hansen C, 2021, 'Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI.', Comput Methods Programs Biomed, 200, pp. 105821, http://dx.doi.org/10.1016/j.cmpb.2020.105821

Schreuder A; Scholten ET; van Ginneken B; Jacobs C, 2021, 'Artificial intelligence for detection and characterization of pulmonary nodules in lung cancer CT screening: ready for practice?', Transl Lung Cancer Res, 10, pp. 2378 - 2388, http://dx.doi.org/10.21037/tlcr-2020-lcs-06

van Leeuwen KG; Schalekamp S; Rutten MJCM; van Ginneken B; de Rooij M, 2021, 'Artificial intelligence in radiology: 100 commercially available products and their scientific evidence.', Eur Radiol, 31, pp. 3797 - 3804, http://dx.doi.org/10.1007/s00330-021-07892-z

Jacobs C; Schreuder A; van Riel SJ; Scholten ET; Wittenberg R; Wille MMW; de Hoop B; Sprengers R; Mets OM; Geurts B; Prokop M; Schaefer-Prokop C; van Ginneken B, 2021, 'Assisted versus Manual Interpretation of Low-Dose CT Scans for Lung Cancer Screening: Impact on Lung-RADS Agreement.', Radiol Imaging Cancer, 3, pp. e200160, http://dx.doi.org/10.1148/rycan.2021200160

Lessmann N; Sánchez CI; Beenen L; Boulogne LH; Brink M; Calli E; Charbonnier J-P; Dofferhoff T; van Everdingen WM; Gerke PK; Geurts B; Gietema HA; Groeneveld M; van Harten L; Hendrix N; Hendrix W; Huisman HJ; Išgum I; Jacobs C; Kluge R; Kok M; Krdzalic J; Lassen-Schmidt B; van Leeuwen K; Meakin J; Overkamp M; van Rees Vellinga T; van Rikxoort EM; Samperna R; Schaefer-Prokop C; Schalekamp S; Scholten ET; Sital C; Stöger JL; Teuwen J; Venkadesh KV; de Vente C; Vermaat M; Xie W; de Wilde B; Prokop M; van Ginneken B, 2021, 'Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence.', Radiology, 298, pp. E18 - E28, http://dx.doi.org/10.1148/radiol.2020202439

Back to profile page