Tao Wan
Orcid: 0000-0002-2962-4066Affiliations:
- Beihang University, School of Biomedical Science and Medical Engineering, Beijing, China
- Carnegie Mellon University, CMU, Visualization and Image Analysis Lab in the Robotics Institute, Pittsburgh, PA, USA
- Samsung Advanced Institute of Technology, SAIT, Chin
- Case Western Reserve University, Cleveland, OH, USA
- Boston University School of Medicine, Boston, MA, USA
- Bristol University, UK (PhD 2009)
According to our database1,
Tao Wan
authored at least 72 papers
between 2007 and 2022.
Collaborative distances:
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Bibliography
2022
A deep learning method for automatic evaluation of diagnostic information from multi-stained histopathological images.
Knowl. Based Syst., 2022
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
2021
Automatic vessel segmentation in X-ray angiogram using spatio-temporal fully-convolutional neural network.
Biomed. Signal Process. Control., 2021
Proceedings of the Neural Information Processing - 28th International Conference, 2021
2020
Robust nuclei segmentation in histopathology using ASPPU-Net and boundary refinement.
Neurocomputing, 2020
Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020
A Deep Learning Model for Early Prediction of Sepsis from Intensive Care Unit Records.
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Proceedings of the IEEE International Conference on Image Processing, 2020
Proceedings of the IEEE International Conference on Image Processing, 2020
2019
Accurate segmentation of overlapping cells in cervical cytology with deep convolutional neural networks.
Neurocomputing, 2019
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Pixel Level Data Augmentation for Semantic Image Segmentation Using Generative Adversarial Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019
Stock Volatility Prediction Based on Self-attention Networks with Social Information.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2019
2018
Auto-painter: Cartoon image generation from sketch by using conditional Wasserstein generative adversarial networks.
Neurocomputing, 2018
Automated identification and grading of coronary artery stenoses with X-ray angiography.
Comput. Methods Programs Biomed., 2018
Automated Coronary Tree Segmentation for X-ray Angiography Sequences Using Fully-convolutional Neural Networks.
Proceedings of the IEEE Visual Communications and Image Processing, 2018
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
Improved Nuclear Segmentation on Histopathology Images Using a Combination of Deep Learning and Active Contour Model.
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Robust Segmentation of Overlapping Cells in Cervical Cytology Using Light Convolution Neural Network.
Proceedings of the Neural Information Processing - 25th International Conference, 2018
2017
Automated mitosis detection in histopathology based on non-gaussian modeling of complex wavelet coefficients.
Neurocomputing, 2017
Automated grading of breast cancer histopathology using cascaded ensemble with combination of multi-level image features.
Neurocomputing, 2017
CoRR, 2017
Ann. Oper. Res., 2017
Proceedings of the Computational Linguistics, 2017
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017
A Radiomics Approach for Automated Identification of Aggressive Tumors on Combined PET and Multi-parametric MRI.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Kinetic measures for distinguishing vulnerable from stable atherosclerotic plaque with dynamic contrast-enhanced MRI.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
2016
Pattern Anal. Appl., 2016
Neurocomputing, 2016
Learning Sentimental Weights of Mixed-gram Terms for Classification and Visualization.
Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016
Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2016
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2016
An improved hybrid active contour model for nuclear segmentation on breast cancer histopathology.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
An automatic breast cancer grading method in histopathological images based on pixel-, object-, and semantic-level features.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
Appl. Soft Comput., 2015
2014
A learning based fiducial-driven registration scheme for evaluating laser ablation changes in neurological disorders.
Neurocomputing, 2014
Wavelet-based statistical features for distinguishing mitotic and non-mitotic cells in breast cancer histopathology.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
2013
Proceedings of the Artificial Intelligence, Evolutionary Computing and Metaheuristics, 2013
Pattern Recognit. Lett., 2013
Neurocomputing, 2013
Frontiers Comput. Sci., 2013
Proceedings of the 2013 Visual Communications and Image Processing, 2013
Proceedings of the 2013 Visual Communications and Image Processing, 2013
A novel point-based nonrigid image registration scheme based on learning optimal landmark configurations.
Proceedings of the Medical Imaging 2013: Image Processing, 2013
Learning based fiducial driven registration (LEFIR): Evaluating laser ablation changes for neurological applications.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the Advanced Data Mining and Applications, 9th International Conference, 2013
2012
Proceedings of the Advanced Research in Applied Artificial Intelligence, 2012
Proceedings of the 21st International Conference on Pattern Recognition, 2012
Proceedings of the International Conference on Machine Learning and Cybernetics, 2012
Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012
2011
What Is the Basic Semantic Unit of Chinese Language? A Computational Approach Based on Topic Models.
Proceedings of the Mathematics of Language - 12th Biennial Conference, 2011
Proceedings of the Neural Information Processing - 18th International Conference, 2011
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011
Proceedings of the Image Analysis and Processing - ICIAP 2011, 2011
Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2011
2009
Segmentation-Driven Image Fusion Based on Alpha-Stable Modeling of Wavelet Coefficients.
IEEE Trans. Multim., 2009
2008
Proceedings of the International Conference on Image Processing, 2008
Context enhancement through image fusion: A multiresolution approach based on convolution of cauchy distributions.
Proceedings of the IEEE International Conference on Acoustics, 2008
2007
Proceedings of the International Conference on Image Processing, 2007
Proceedings of the IEEE International Conference on Acoustics, 2007