Lei Zhou
Orcid: 0000-0002-6100-9346Affiliations:
- Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, China
According to our database1,
Lei Zhou
authored at least 33 papers
between 2012 and 2025.
Collaborative distances:
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Bibliography
2025
IEEE Trans. Medical Imaging, January, 2025
2024
Modality-Specific Information Disentanglement From Multi-Parametric MRI for Breast Tumor Segmentation and Computer-Aided Diagnosis.
IEEE Trans. Medical Imaging, May, 2024
2023
A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework.
Patterns, September, 2023
J. Electronic Imaging, 2023
Multi-scale Attention Enhancement for Arbitrary Style Transfer via Contrast Learning.
Proceedings of the 9th International Conference on Computing and Artificial Intelligence, 2023
2022
Three-dimensional affinity learning based multi-branch ensemble network for breast tumor segmentation in MRI.
Pattern Recognit., 2022
2021
IEEE Trans. Multim., 2021
2020
FC-RCCN: Fully convolutional residual continuous CRF network for semantic segmentation.
Pattern Recognit. Lett., 2020
Weakly supervised instance segmentation using multi-stage erasing refinement and saliency-guided proposals ordering.
J. Vis. Commun. Image Represent., 2020
2019
Superpixel based continuous conditional random field neural network for semantic segmentation.
Neurocomputing, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
2018
Deep multiple instance learning for automatic detection of diabetic retinopathy in retinal images.
IET Image Process., 2018
Proceedings of the 5th International Conference on Systems and Informatics, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
2017
New Algorithms for Encoding, Learning and Classification of fMRI Data in a Spiking Neural Network Architecture: A Case on Modeling and Understanding of Dynamic Cognitive Processes.
IEEE Trans. Cogn. Dev. Syst., 2017
Improving dense conditional random field for retinal vessel segmentation by discriminative feature learning and thin-vessel enhancement.
Comput. Methods Programs Biomed., 2017
Self-paced least square semi-coupled dictionary learning for person re-identification.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
2016
Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications.
Neural Networks, 2016
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Automatic hemorrhage detection in color fundus images based on gradual removal of vascular branches.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Abnormal event detection using spatio-temporal feature and nonnegative locality-constrained linear coding.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
2015
Neural Process. Lett., 2015
On feature-specific parameter learning in conditional random field-based approach for interactive object segmentation.
J. Electronic Imaging, 2015
2014
Signal Process. Image Commun., 2014
Neurocomputing, 2014
Proceedings of the Neural Information Processing - 21st International Conference, 2014
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
2013
Proceedings of the Neural Information Processing - 20th International Conference, 2013
Proceedings of the IEEE International Conference on Image Processing, 2013
2012
Proceedings of the 19th IEEE International Conference on Image Processing, 2012