All Outputs (4)

FuzzyDCNN: Incorporating Fuzzy Integral Layers to Deep Convolutional Neural Networks for Image Segmentation (2021)
Conference Proceeding
Lin, Q., Chen, X., Chen, C., & Garibaldi, J. M. (2021). FuzzyDCNN: Incorporating Fuzzy Integral Layers to Deep Convolutional Neural Networks for Image Segmentation. In 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). https://doi.org/10.1109/fuzz45933.2021.9494456

Convolutional neural networks (CNNs) have achieved the state-of-the-art performance in many application areas, due to the capability of automatically extracting and aggregating spatial and channel-wise features from images. Most recent studies have c... Read More about FuzzyDCNN: Incorporating Fuzzy Integral Layers to Deep Convolutional Neural Networks for Image Segmentation.

A Novel Weighted Combination Method for Feature Selection using Fuzzy Sets (2019)
Conference Proceeding
Shen, Z., Chen, X., & Garibaldi, J. M. (2019). A Novel Weighted Combination Method for Feature Selection using Fuzzy Sets. In 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (1-6). https://doi.org/10.1109/FUZZ-IEEE.2019.8858890

In this paper, we propose a novel weighted combination feature selection method using bootstrap and fuzzy sets. The proposed method mainly consists of three processes, including fuzzy sets generation using bootstrap, weighted combination of fuzzy set... Read More about A Novel Weighted Combination Method for Feature Selection using Fuzzy Sets.

Performance Optimization of a Fuzzy Entropy Based Feature Selection and Classification Framework (2019)
Conference Proceeding
Shen, Z., Chen, X., & Garibaldi, J. (2019). Performance Optimization of a Fuzzy Entropy Based Feature Selection and Classification Framework. . https://doi.org/10.1109/SMC.2018.00238

© 2018 IEEE. In this paper, based on a fuzzy entropy feature selection framework, different methods have been implemented and compared to improve the key components of the framework. Those methods include the combinations of three ideal vector calcul... Read More about Performance Optimization of a Fuzzy Entropy Based Feature Selection and Classification Framework.

Efficient deformable motion correction for 3-D abdominal MRI using manifold regression (2017)
Conference Proceeding
Chen, X., Balfour, D. R., Marsden, P. K., Reader, A. J., Prieto, C., & King, A. P. (in press). Efficient deformable motion correction for 3-D abdominal MRI using manifold regression.

We present a novel framework for efficient retrospective respiratory motion correction of 3-D abdominal MRI using manifold regression. K-space data are continuously acquired under free breathing using the stack-of-stars radial gold-en-angle trajector... Read More about Efficient deformable motion correction for 3-D abdominal MRI using manifold regression.