Xin Chen
Orcid: 0000-0002-3685-0854Affiliations:
- University of Nottingham, School of Computer Science, Intelligent Modeling and Analysis Group, UK
- King's College London, Division of Imaging Sciences and Biomedical Engineering, UK (former)
- University of Central Lancashire, Preston, UK (PhD 2008)
According to our database1,
Xin Chen
authored at least 47 papers
between 2011 and 2025.
Collaborative distances:
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Bibliography
2025
Medical Image Anal., 2025
An Attentive Representative Sample Selection Strategy Combined with Balanced Batch Training for Skin Lesion Segmentation.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025
MO-CTranS: A Unified Multi-Organ Segmentation Model Learning from Multiple Heterogeneously Labelled Datasets.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025
2024
Inf. Sci., 2024
CoRR, 2024
MrRegNet: Multi-Resolution Mask Guided Convolutional Neural Network for Medical Image Registration with Large Deformations.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
CTranS: A Multi-Resolution Convolution-Transformer Network for Medical Image Segmentation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Devil in the Tail: A Multi-Modal Framework for Drug-Drug Interaction Prediction in Long Tail Distinction.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
A Novel Quality Control Algorithm for Medical Image Segmentation Based on Fuzzy Uncertainty.
IEEE Trans. Fuzzy Syst., 2023
Fuzzy Uncertainty-Based Out-of-Distribution Detection Algorithm for Semantic Segmentation.
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.
Medical Image Anal., 2022
ConvTransSeg: A Multi-resolution Convolution-Transformer Network for Medical Image Segmentation.
CoRR, 2022
An efficient interactive multi-label segmentation tool for 2D and 3D medical images using fully connected conditional random field.
Comput. Methods Programs Biomed., 2022
Motion-Related Artefact Classification Using Patch-Based Ensemble and Transfer Learning in Cardiac MRI.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022
Thigh and Calf Muscles Segmentation Using Ensemble of Patch-Based Deep Convolutional Neural Network on Whole-Body Water-Fat MRI.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022
Bounding Box Based Weakly Supervised Deep Convolutional Neural Network for Medical Image Segmentation Using an Uncertainty Guided and Spatially Constrained Loss.
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.
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.
Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021
A Fuzzy Aggregation based Ensemble Framework for Accurate and Stable Feature Selection.
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021
FuzzyDCNN: Incorporating Fuzzy Integral Layers to Deep Convolutional Neural Networks for Image Segmentation.
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021
2020
Deep Learning with Dynamically Weighted Loss Function for Sensor-Based Prognostics and Health Management.
Sensors, 2020
A Spatially Constrained Deep Convolutional Neural Network for Nerve Fiber Segmentation in Corneal Confocal Microscopic Images Using Inaccurate Annotations.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
A Generic Ensemble Based Deep Convolutional Neural Network for Semi-Supervised Medical Image Segmentation.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
DRU-Net: An Efficient Deep Convolutional Neural Network for Medical Image Segmentation.
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.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020
2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the Image and Graphics - 10th International Conference, 2019
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019
2018
Performance Optimization of a Fuzzy Entropy Based Feature Selection and Classification Framework.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
IEEE Trans. Medical Imaging, 2017
An Automatic Tool for Quantification of Nerve Fibers in Corneal Confocal Microscopy Images.
IEEE Trans. Biomed. Eng., 2017
Efficient Deformable Motion Correction for 3-D Abdominal MRI Using Manifold Regression.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
2016
A fully automatic nerve segmentation and morphometric parameter quantification system for early diagnosis of diabetic neuropathy in corneal images.
Comput. Methods Programs Biomed., 2016
Dynamic Volume Reconstruction from Multi-slice Abdominal MRI Using Manifold Alignment.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the Breast Imaging, 2016
2015
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
2014
IEEE Trans. Medical Imaging, 2014
Breast Cancer Risk Analysis Based on a Novel Segmentation Framework for Digital Mammograms.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Detection of Spiculated Lesions in Digital Mammograms Using a Novel Image Analysis Technique.
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014
Texture-Based Breast Cancer Prediction in Full-Field Digital Mammograms Using the Dual-Tree Complex Wavelet Transform and Random Forest Classification.
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014
A Novel Framework for Fat, Glandular Tissue, Pectoral Muscle and Nipple Segmentation in Full Field Digital Mammograms.
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014
2013
Automatic Inference and Measurement of 3D Carpal Bone Kinematics From Single View Fluoroscopic Sequences.
IEEE Trans. Medical Imaging, 2013
2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Proceedings of the 18th IEEE International Conference on Image Processing, 2011