Xin Chen

According to our database, Xin Chen authored at least 16 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Fuzzy Uncertainty-Based Out-of-Distribution Detection Algorithm for Semantic Segmentation.

Qiao Lin, Xin Chen, Chao Chen, Direnc Pekaslan, Jonathan M. Garibaldi

Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

2022

LMISA: A lightweight multi-modality image segmentation network via domain adaptation using gradient magnitude and shape constraint.

Mina Jafari, Susan T. Francis, Jonathan M. Garibaldi, Xin Chen

Medical Image Anal., 2022

An efficient interactive multi-label segmentation tool for 2D and 3D medical images using fully connected conditional random field.

Ruizhe Li, Xin Chen

Comput. Methods Programs Biomed., 2022

Motion-Related Artefact Classification Using Patch-Based Ensemble and Transfer Learning in Cardiac MRI.

Ruizhe Li, Xin Chen

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Bounding Box Based Weakly Supervised Deep Convolutional Neural Network for Medical Image Segmentation Using an Uncertainty Guided and Spatially Constrained Loss.

Golnar K. Mahani, Ruizhe Li, Nikolaos Evangelou, Stamatios Sotiropolous, Paul S. Morgan, Andrew P. French, Xin Chen

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Quality Quantification in Deep Convolutional Neural Networks for Skin Lesion Segmentation using Fuzzy Uncertainty Measurement.

Qiao Lin, Xin Chen, Chao Chen, Jonathan M. Garibaldi

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

2021

Image Augmentation Using a Task Guided Generative Adversarial Network for Age Estimation on Brain MRI.

Ruizhe Li, Matteo Bastiani, Dorothee Auer, Christian Wagner, Xin Chen

Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021

A Fuzzy Aggregation based Ensemble Framework for Accurate and Stable Feature Selection.

Zixiao Shen, Xin Chen, Jonathan M. Garibaldi

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

FuzzyDCNN: Incorporating Fuzzy Integral Layers to Deep Convolutional Neural Networks for Image Segmentation.

Qiao Lin, Xin Chen, Chao Chen, Jonathan M. Garibaldi

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

2020

A Generic Ensemble Based Deep Convolutional Neural Network for Semi-Supervised Medical Image Segmentation.

Ruizhe Li, Christian Wagner, Xin Chen, Dorothee Auer

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

DRU-Net: An Efficient Deep Convolutional Neural Network for Medical Image Segmentation.

Mina Jafari, Dorothee Auer, Susan T. Francis, Jonathan M. Garibaldi, Xin Chen

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

A Novel Meta Learning Framework for Feature Selection using Data Synthesis and Fuzzy Similarity.

Zixiao Shen, Xin Chen, Jonathan M. Garibaldi

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

2019

Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation.

Xianxu Hou, Jingxin Liu, Bolei Xu, Bozhi Liu, Xin Chen, Mohammad Ilyas, Ian O. Ellis, Jon Garibaldi, Guoping Qiu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

FU-Net: Multi-class Image Segmentation Using Feedback Weighted U-Net.

Mina Jafari, Ruizhe Li, Yue Xing, Dorothee Auer, Susan T. Francis, Jonathan M. Garibaldi, Xin Chen

Proceedings of the Image and Graphics - 10th International Conference, 2019

A Novel Weighted Combination Method for Feature Selection using Fuzzy Sets.

Zixiao Shen, Xin Chen, Jonathan M. Garibaldi

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018

Performance Optimization of a Fuzzy Entropy Based Feature Selection and Classification Framework.

Zixiao Shen, Xin Chen, Jon Garibaldi

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018