Integrated frameworkfor simultaneous segmentation and registration of carpal bones. - Xin Chen 003; Jim Graham; Charles Hutchinson (ICIP, 2011)

Inferring 3D Kinematics of Carpal Bones from Single View Fluoroscopic Sequences. - Xin Chen 003; Jim Graham; Charles Hutchinson; Lindsay Muir (MICCAI (2), 2011)

Automatic Inference and Measurement of 3D Carpal Bone Kinematics From Single View Fluoroscopic Sequences. - Xin Chen 003; Jim Graham; Charles Hutchinson; Lindsay Muir (IEEE Trans. Medical Imaging, 2013)

A Novel Framework for Fat, Glandular Tissue, Pectoral Muscle and Nipple Segmentation in Full Field Digital Mammograms. - Xin Chen 003; Emmanouil Moschidis; Christopher J. Taylor 001; Susan M. Astley (Digital Mammography / IWDM, 2014)

Texture-Based Breast Cancer Prediction in Full-Field Digital Mammograms Using the Dual-Tree Complex Wavelet Transform and Random Forest Classification. - Emmanouil Moschidis; Xin Chen 003; Christopher J. Taylor 001; Susan M. Astley (Digital Mammography / IWDM, 2014)

Detection of Spiculated Lesions in Digital Mammograms Using a Novel Image Analysis Technique. - Ashley Seepujak; Tomas Adomavicius; Sergey Dolgobrodov; Emmanouil Moschidis; Xin Chen 003; Anthony Maxwell; Susan M. Astley; Alan M. Roseman (Digital Mammography / IWDM, 2014)

Breast Cancer Risk Analysis Based on a Novel Segmentation Framework for Digital Mammograms. - Xin Chen 003; Emmanouil Moschidis; Christopher J. Taylor 001; Susan M. Astley (MICCAI (1), 2014)

Automatic Generation of Statistical Pose and Shape Models for Articulated Joints. - Xin Chen 003; Jim Graham; Charles Hutchinson; Lindsay Muir (IEEE Trans. Medical Imaging, 2014)

Local mammographic density as a predictor of breast cancer. - Mayu Otsuka; Elaine F. Harkness; Xin Chen 003; Emmanouil Moschidis; Megan Bydder; Soujanya Gadde; Yit Yoong Lim; Anthony J. Maxwell; D. Gareth Evans; Anthony Howell; Paula Stavrinos; Mary Wilson; et al. (Computer-Aided Diagnosis, 2015)

Improving Mammographic Density Estimation in the Breast Periphery. - Xin Chen 003; Emmanouil Moschidis; Christopher J. Taylor 001; Susan M. Astley (Digital Mammography / IWDM, 2016)

Dynamic Volume Reconstruction from Multi-slice Abdominal MRI Using Manifold Alignment. - Xin Chen 003; Muhammad Usman 014; Daniel R. Balfour; Paul K. Marsden; Andrew J. Reader; Claudia Prieto; Andrew P. King (MICCAI (3), 2016)

A fully automatic nerve segmentation and morphometric parameter quantification system for early diagnosis of diabetic neuropathy in corneal images. - Shumoos Al-Fahdawi; Rami Qahwaji; Alaa S. Al-Waisy; Stanley S. Ipson; Rayaz A. Malik; Arun Brahma; Xin Chen 003 (Comput. Methods Programs Biomed., 2016)

Efficient Deformable Motion Correction for 3-D Abdominal MRI Using Manifold Regression. - Xin Chen 003; Daniel R. Balfour; Paul K. Marsden; Andrew J. Reader; Claudia Prieto; Andrew P. King (MICCAI (2), 2017)

An Automatic Tool for Quantification of Nerve Fibers in Corneal Confocal Microscopy Images. - Xin Chen 003; Jim Graham; Mohammad A. Dabbah; Ioannis N. Petropoulos; Mitra Tavakoli; Rayaz A. Malik (IEEE Trans. Biomed. Eng., 2017)

High-Resolution Self-Gated Dynamic Abdominal MRI Using Manifold Alignment. - Xin Chen 003; Muhammad Usman 014; Christian F. Baumgartner; Daniel R. Balfour; Paul K. Marsden; Andrew J. Reader; Claudia Prieto; Andrew P. King (IEEE Trans. Medical Imaging, 2017)

PET-MR respiratory signal estimation using semi-supervised manifold alignment. - Daniel R. Balfour; James R. Clough; Xin Chen 003; Martin A. Belzunce; Claudia Prieto; Paul K. Marsden; Andrew J. Reader; Andrew P. King (ISBI, 2018)

Performance Optimization of a Fuzzy Entropy Based Feature Selection and Classification Framework. - Zixiao Shen; Xin Chen 003; Jon Garibaldi (SMC, 2018)

A Novel Weighted Combination Method for Feature Selection using Fuzzy Sets. - Zixiao Shen; Xin Chen 003; Jonathan M. Garibaldi (FUZZ-IEEE, 2019)

FU-Net: Multi-class Image Segmentation Using Feedback Weighted U-Net. - Mina Jafari; Ruizhe Li 005; Yue Xing 003; Dorothee Auer; Susan T. Francis; Jonathan M. Garibaldi; Xin Chen 003 (ICIG (2), 2019)

Bladder Cancer Multi-Class Segmentation in MRI With Pyramid-In-Pyramid Network. - Jingxin Liu; Libo Liu; Bolei Xu; Xianxu Hou; Bozhi Liu; Xin Chen 003; Linlin Shen; Guoping Qiu (ISBI, 2019)

Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation. - Xianxu Hou; Jingxin Liu; Bolei Xu; Bozhi Liu; Xin Chen 003; Mohammad Ilyas; Ian O. Ellis; Jon Garibaldi; Guoping Qiu (MICCAI (2), 2019)

A Novel Meta Learning Framework for Feature Selection using Data Synthesis and Fuzzy Similarity. - Zixiao Shen; Xin Chen 003; Jonathan M. Garibaldi (FUZZ-IEEE, 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 003 (ISBI, 2020)

A Generic Ensemble Based Deep Convolutional Neural Network for Semi-Supervised Medical Image Segmentation. - Ruizhe Li 005; Christian Wagner 002; Xin Chen 003; Dorothee Auer (ISBI, 2020)

A Spatially Constrained Deep Convolutional Neural Network for Nerve Fiber Segmentation in Corneal Confocal Microscopic Images Using Inaccurate Annotations. - Ning Zhang; Susan T. Francis; Rayaz A. Malik; Xin Chen 003 (ISBI, 2020)

Deep Learning with Dynamically Weighted Loss Function for Sensor-Based Prognostics and Health Management. - Divish Rengasamy; Mina Jafari; Benjamin Rothwell; Xin Chen 003; Grazziela P. Figueredo (Sensors, 2020)

FuzzyDCNN: Incorporating Fuzzy Integral Layers to Deep Convolutional Neural Networks for Image Segmentation. - Qiao Lin 003; Xin Chen 003; Chao Chen 007; Jonathan M. Garibaldi (FUZZ-IEEE, 2021)

A Fuzzy Aggregation based Ensemble Framework for Accurate and Stable Feature Selection. - Zixiao Shen; Xin Chen 003; Jonathan M. Garibaldi (FUZZ-IEEE, 2021)

Image Augmentation Using a Task Guided Generative Adversarial Network for Age Estimation on Brain MRI. - Ruizhe Li 005; Matteo Bastiani; Dorothee Auer; Christian Wagner 002; Xin Chen 003 (MIUA, 2021)

Quality Quantification in Deep Convolutional Neural Networks for Skin Lesion Segmentation using Fuzzy Uncertainty Measurement. - Qiao Lin 003; Xin Chen 003; Chao Chen 007; Jonathan M. Garibaldi (FUZZ-IEEE, 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 005; Nikolaos Evangelou; Stamatios Sotiropolous; Paul S. Morgan; Andrew P. French; Xin Chen 003 (ISBI, 2022)

Thigh and Calf Muscles Segmentation Using Ensemble of Patch-Based Deep Convolutional Neural Network on Whole-Body Water-Fat MRI. - Zhendi Gong; Rosemary Nicholas; Susan T. Francis; Xin Chen 003 (MIUA, 2022)

Motion-Related Artefact Classification Using Patch-Based Ensemble and Transfer Learning in Cardiac MRI. - Ruizhe Li 005; Xin Chen 003 (STACOM@MICCAI, 2022)

An efficient interactive multi-label segmentation tool for 2D and 3D medical images using fully connected conditional random field. - Ruizhe Li 005; Xin Chen 003 (Comput. Methods Programs Biomed., 2022)

ConvTransSeg: A Multi-resolution Convolution-Transformer Network for Medical Image Segmentation. - Zhendi Gong; Andrew P. French; Guoping Qiu; Xin Chen 003 (CoRR, 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 003 (Medical Image Anal., 2022)

Fuzzy Uncertainty-Based Out-of-Distribution Detection Algorithm for Semantic Segmentation. - Qiao Lin 003; Xin Chen 003; Chao Chen 007; Direnc Pekaslan; Jonathan M. Garibaldi (FUZZ, 2023)

A Novel Quality Control Algorithm for Medical Image Segmentation Based on Fuzzy Uncertainty. - Qiao Lin 003; Xin Chen 003; Chao Chen 007; Jonathan M. Garibaldi (IEEE Trans. Fuzzy Syst., 2023)

Devil in the Tail: A Multi-Modal Framework for Drug-Drug Interaction Prediction in Long Tail Distinction. - Liangwei Nathan Zheng; Chang George Dong; Wei Emma Zhang; Xin Chen 003; Lin Yue; Weitong Chen 001 (CIKM, 2024)

CTranS: A Multi-Resolution Convolution-Transformer Network for Medical Image Segmentation. - Zhendi Gong; Andrew P. French; Guoping Qiu; Xin Chen 003 (ISBI, 2024)

MrRegNet: Multi-Resolution Mask Guided Convolutional Neural Network for Medical Image Registration with Large Deformations. - Ruizhe Li 005; Grazziela P. Figueredo; Dorothee Auer; Christian Wagner 002; Xin Chen 003 (ISBI, 2024)

A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data. - Xinyi Wang; Grazziela P. Figueredo; Ruizhe Li 005; Wei Emma Zhang; Weitong Chen 001; Xin Chen 003 (CoRR, 2024)

Boundary-wise loss for medical image segmentation based on fuzzy rough sets. - Qiao Lin 003; Xin Chen 003; Chao Chen 007; Jonathan M. Garibaldi (Inf. Sci., 2024)

MO-CTranS: A Unified Multi-Organ Segmentation Model Learning from Multiple Heterogeneously Labelled Datasets. - Zhendi Gong; Susan T. Francis; Eleanor Cox; Stamatios N. Sotiropoulos; Dorothee P. Auer; Guoping Qiu; Andrew P. French; Xin Chen 003 (ISBI, 2025)

A Unified Framework for Semi-Supervised Image Segmentation and Registration. - Ruizhe Li 005; Grazziela Patrocinio Figueredo; Dorothee Auer; Rob A. Dineen; Paul S. Morgan; Xin Chen 003 (ISBI, 2025)

An Attentive Representative Sample Selection Strategy Combined with Balanced Batch Training for Skin Lesion Segmentation. - Stephen Lloyd-Brown; Susan T. Francis; Caroline Hoad; Penny A. Gowland; Karen J. Mullinger; Andrew P. French; Xin Chen 003 (ISBI, 2025)

A survey of deep-learning-based radiology report generation using multimodal inputs. - Xinyi Wang; Grazziela P. Figueredo; Ruizhe Li 005; Wei Emma Zhang; Weitong Chen 001; Xin Chen 003 (Medical Image Anal., 2025)