By Dr Yanming Zhu

Journal articles

Tchetchenian A; Zhu Y; Zhang F; O’Donnell LJ; Song Y; Meijering E, 2023, 'A comparison of manual and automated neural architecture search for white matter tract segmentation', Scientific Reports, 13, http://dx.doi.org/10.1038/s41598-023-28210-1

Zhu Y; Yin X; Hu J, 2023, 'FingerGAN: A Constrained Fingerprint Generation Scheme for Latent Fingerprint Enhancement', IEEE Transactions on Pattern Analysis and Machine Intelligence, 45, pp. 8358 - 8371, http://dx.doi.org/10.1109/TPAMI.2023.3236876

Maška M; Ulman V; Delgado-Rodriguez P; Gómez-de-Mariscal E; Nečasová T; Guerrero Peña FA; Ren TI; Meyerowitz EM; Scherr T; Löffler K; Mikut R; Guo T; Wang Y; Allebach JP; Bao R; Al-Shakarji NM; Rahmon G; Toubal IE; Palaniappan K; Lux F; Matula P; Sugawara K; Magnusson KEG; Aho L; Cohen AR; Arbelle A; Ben-Haim T; Raviv TR; Isensee F; Jäger PF; Maier-Hein KH; Zhu Y; Ederra C; Urbiola A; Meijering E; Cunha A; Muñoz-Barrutia A; Kozubek M; Ortiz-de-Solórzano C, 2023, 'The Cell Tracking Challenge: 10 years of objective benchmarking', Nature Methods, 20, pp. 1010 - 1020, http://dx.doi.org/10.1038/s41592-023-01879-y

Zhu Y; Yin X; Meijering E, 2023, 'A Compound Loss Function With Shape Aware Weight Map for Microscopy Cell Segmentation', IEEE Transactions on Medical Imaging, 42, pp. 1278 - 1288, http://dx.doi.org/10.1109/TMI.2022.3226226

Yin X; Wang S; Zhu Y; Hu J, 2023, 'A Novel Length-Flexible Lightweight Cancelable Fingerprint Template for Privacy-Preserving Authentication Systems in Resource-Constrained IoT Applications', IEEE Internet of Things Journal, 10, pp. 877 - 892, http://dx.doi.org/10.1109/JIOT.2022.3204246

Zhu Y; Wang M; Yin X; Zhang J; Meijering E; Hu J, 2023, 'Deep Learning in Diverse Intelligent Sensor Based Systems', Sensors, 23, pp. 62, http://dx.doi.org/10.3390/s23010062

Wang M; Yin X; Zhu Y; Hu J, 2022, 'Representation Learning and Pattern Recognition in Cognitive Biometrics: A Survey', Sensors, 22, pp. 5111, http://dx.doi.org/10.3390/s22145111

Yin X; Zhu Y; Hu J, 2022, 'A Subgrid-Oriented Privacy-Preserving Microservice Framework Based on Deep Neural Network for False Data Injection Attack Detection in Smart Grids', IEEE Transactions on Industrial Informatics, 18, pp. 1957 - 1967, http://dx.doi.org/10.1109/TII.2021.3102332

Yin X; Zhu Y; Xie Y; Hu J, 2022, 'PowerFDNet: Deep Learning-Based Stealthy False Data Injection Attack Detection for AC-Model Transmission Systems', IEEE Open Journal of the Computer Society, 3, pp. 149 - 161, http://dx.doi.org/10.1109/OJCS.2022.3199755

Zhu Y; Meijering E, 2021, 'Automatic improvement of deep learning-based cell segmentation in time-lapse microscopy by neural architecture search', Bioinformatics, 37, pp. 4844 - 4850, http://dx.doi.org/10.1093/bioinformatics/btab556

Yin X; Zhu Y; Hu J, 2021, 'A Comprehensive Survey of Privacy-preserving Federated Learning: A Taxonomy, Review, and Future Directions', ACM Computing Surveys, 54, http://dx.doi.org/10.1145/3460427

Yin X; Zhu Y; Hu J, 2021, '3D Fingerprint Recognition based on Ridge-Valley-Guided 3D Reconstruction and 3D Topology Polymer Feature Extraction', IEEE Transactions on Pattern Analysis and Machine Intelligence, 43, pp. 1085 - 1091, http://dx.doi.org/10.1109/TPAMI.2019.2949299

Yin X; Zhu Y; Hu J, 2021, 'A Survey on 2D and 3D Contactless Fingerprint Biometrics: A Taxonomy, Review, and Future Directions', IEEE Open Journal of the Computer Society, 2, pp. 370 - 381, http://dx.doi.org/10.1109/OJCS.2021.3119572

Yin X; Zhu Y; Hu J, 2020, 'Contactless Fingerprint Recognition Based on Global Minutia Topology and Loose Genetic Algorithm', IEEE Transactions on Information Forensics and Security, 15, pp. 28 - 41, http://dx.doi.org/10.1109/TIFS.2019.2918083

Li K; Zhu Y; Yang J; Jiang J, 2016, 'Video super-resolution using an adaptive superpixel-guided auto-regressive model', Pattern Recognition, 51, pp. 59 - 71, http://dx.doi.org/10.1016/j.patcog.2015.08.008

Zhu Y; Li K; Jiang J, 2014, 'Video super-resolution based on automatic key-frame selection and feature-guided variational optical flow', Signal Processing: Image Communication, 29, pp. 875 - 886, http://dx.doi.org/10.1016/j.image.2014.06.005

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