| Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS … MJ Cardoso, T Arbel, G Carneiro, T Syeda-Mahmood, JMRS Tavares, ... Springer, 2017 | 795 | 2017 |
| Combining Deep Learning and Level Set for the Automated Segmentation of the Left Ventricle of the Heart from Cardiac Cine Magnetic Resonance TA Ngo, Z Lu, G Carneiro Medical Image Analysis 35, 159-171, 2016 | 380 | 2016 |
| An Improved Joint Optimization of Multiple Level Set Functions for the Segmentation of Overlapping Cervical Cells APB Z Lu, G Carneiro IEEE Transactions on Image Processing 24 (4), 1261 - 1272, 2015 | 270 | 2015 |
| Cytoplasm and nucleus segmentation in cervical smear images using Radiating GVF Snake K Li, Z Lu, W Liu, J Yin Pattern Recognition, 2011 | 190 | 2011 |
| Evaluation of Three Algorithms for the Segmentation of Overlapping Cervical Cells Z Lu, G Carneiro, AP Bradley, D Ushizima, MS Nosrati, A Bianchi, ... IEEE Journal of Biomedical and Health Informatics, 2016 | 178 | 2016 |
| Boosting Weighted ELM for Imbalanced Learning K Li, X Kong, Z Lu, L Wenyin, J Yin Neurocomputing 128 (27), 15-21, 2014 | 171 | 2014 |
| Deep learning and data labeling for medical applications G Carneiro, D Mateus, L Peter, A Bradley, JMRS Tavares, V Belagiannis, ... | 128* | 2016 |
| Automated nucleus and cytoplasm segmentation of overlapping cervical cells Z Lu, G Carneiro, AP Bradley Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013 | 128 | 2013 |
| Short text similarity based on probabilistic topics X Quan, G Liu, Z Lu, X Ni, L Wenyin Knowledge and information systems 25 (3), 473-491, 2010 | 120 | 2010 |
| Short text clustering by finding core terms X Ni, X Quan, Z Lu, L Wenyin, B Hua Knowledge and information systems 27 (3), 345-365, 2011 | 74 | 2011 |
| Multiclass boosting SVM using different texture features in HEp-2 cell staining pattern classification K Li, J Yin, Z Lu, X Kong, R Zhang, W Liu ICPR, 2012 | 59 | 2012 |
| Deep learning in medical image analysis and multimodal learning for clinical decision support: 4th international workshop, dlmia 2018, and 8th international workshop, ml-cds … D Stoyanov, Z Taylor, G Carneiro, T Syeda-Mahmood, A Martel, ... Springer, 2018 | 41 | 2018 |
| A hybrid deep learning anomaly detection framework for intrusion detection R Kale, Z Lu, KW Fok, VLL Thing 2022 IEEE 8th Intl Conference on Big Data Security on Cloud (BigDataSecurity …, 2022 | 29 | 2022 |
| Intrusion detection in internet of things using convolutional neural networks M Kodyš, Z Lu, KW Fok, VLL Thing 2021 18th International Conference on Privacy, Security and Trust (PST), 1-10, 2021 | 18 | 2021 |
| Automated detection of individual micro-calcifications from mammograms using a multi-stage cascade approach Z Lu, G Carneiro, N Dhungel, AP Bradley arXiv preprint arXiv:1610.02251, 2016 | 15 | 2016 |
| Categorizing and ranking search engine's results by semantic similarity T Hao, Z Lu, S Wang, T Zou, S Gu, L Wenyin Proceedings of the 2nd international conference on Ubiquitous information …, 2008 | 14 | 2008 |
| Springer International Publishing: Cham MJ Cardoso, T Arbel, G Carneiro, T Syeda-Mahmood, J Tavares, ... Switzerland, 2017 | 13 | 2017 |
| "How Does It Detect A Malicious App?" Explaining the Predictions of AI-based Android Malware Detector Z Lu, VLL Thing arXiv preprint arXiv:2111.05108, 2021 | 7* | 2021 |
| Short text clustering for search results X Ni, Z Lu, X Quan, W Liu, B Hua Asia-Pacific Web Conference, 584-589, 2009 | 6 | 2009 |
| PhilaeX: explaining the failure and success of AI models in malware detection Z Lu, VLL Thing arXiv preprint arXiv:2207.00740, 2022 | 3 | 2022 |
Gustavo CarneiroProfessor of AI and Machine Learning, University of Surrey在 surrey.ac.uk 的电子邮件经过验证