Xiaodan Xing

According to our database, Xiaodan Xing authored at least 31 papers between 2019 and 2024.

Collaborative distances:

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

2024

Non-imaging Medical Data Synthesis for Trustworthy AI: A Comprehensive Survey.

Xiaodan Xing, Huanjun Wu, Lichao Wang, Iain Stenson, May Yong, Javier Del Ser, Simon Walsh, Guang Yang

ACM Comput. Surv., July, 2024

Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation.

Yang Nan, Javier Del Ser, Zeyu Tang, Peng Tang, Xiaodan Xing, Yingying Fang, Francisco Herrera, Witold Pedrycz, Simon Walsh, Guang Yang

IEEE Trans. Neural Networks Learn. Syst., June, 2024

Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge.

Yang Nan, Xiaodan Xing, Shiyi Wang, Zeyu Tang, Federico N. Felder, Sheng Zhang, Roberta Eufrasia Ledda, Xiaoliu Ding, Ruiqi Yu, Weiping Liu, Feng Shi, Tianyang Sun, Zehong Cao, Minghui Zhang, Yun Gu, Hanxiao Zhang, Jian Gao, Pingyu Wang, Wen Tang, Pengxin Yu, Han Kang, Junqiang Chen, Xing Lu, Boyu Zhang, Michail Mamalakis, Francesco Prinzi, Gianluca Carlini, Lisa Cuneo, Abhirup Banerjee, Zhaohu Xing, Lei Zhu, Zacharia Mesbah, Dhruv Jain, Tsiry Mayet, Hongyu Yuan, Qing Lyu, Abdul Qayyum, Moona Mazher, Athol Wells, Simon L. F. Walsh, Guang Yang

Medical Image Anal., 2024

Fuzzy Attention-based Border Rendering Network for Lung Organ Segmentation.

Sheng Zhang, Yang Nan, Yingying Fang, Shiyi Wang, Xiaodan Xing, Zhifan Gao, Guang Yang

CoRR, 2024

When AI Eats Itself: On the Caveats of Data Pollution in the Era of Generative AI.

Xiaodan Xing, Fadong Shi, Jiahao Huang, Yinzhe Wu, Yang Nan, Sheng Zhang, Yingying Fang, Mike Roberts, Carola-Bibiane Schönlieb, Javier Del Ser, Guang Yang

CoRR, 2024

Probing perfection: The relentless art of meddling for pulmonary airway segmentation from HRCT via a human-AI collaboration based active learning method.

Shiyi Wang, Yang Nan, Sheng Zhang, Federico Felder, Xiaodan Xing, Yingying Fang, Javier Del Ser, Simon L. F. Walsh, Guang Yang

Artif. Intell. Medicine, 2024

Dynamic Multimodal Information Bottleneck for Multimodality Classification.

Yingying Fang, Shuang Wu, Sheng Zhang, Chaoyan Huang, Tieyong Zeng, Xiaodan Xing, Simon Walsh, Guang Yang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Assessing the Efficacy of Invisible Watermarks in AI-Generated Medical Images.

Xiaodan Xing, Huiyu Zhou, Yingying Fang, Guang Yang

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Decoding Decision Reasoning: A Counterfactual-Powered Model for Knowledge Discovery.

Yingying Fang, Zihao Jin, Xiaodan Xing, Simon Walsh, Guang Yang

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

HDL: Hybrid Deep Learning for the Synthesis of Myocardial Velocity Maps in Digital Twins for Cardiac Analysis.

Xiaodan Xing, Javier Del Ser, Yinzhe Wu, Yang Li, Jun Xia, Lei Xu, David N. Firmin, Peter Gatehouse, Guang Yang

IEEE J. Biomed. Health Informatics, October, 2023

Less Is More: Unsupervised Mask-Guided Annotated CT Image Synthesis With Minimum Manual Segmentations.

Xiaodan Xing, Giorgos Papanastasiou, Simon Walsh, Guang Yang

IEEE Trans. Medical Imaging, September, 2023

Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge.

Yang Nan, Xiaodan Xing, Shiyi Wang, Zeyu Tang, Federico N. Felder, Sheng Zhang, Roberta Eufrasia Ledda, Xiaoliu Ding, Ruiqi Yu, Weiping Liu, Feng Shi, Tianyang Sun, Zehong Cao, Minghui Zhang, Yun Gu, Hanxiao Zhang, Jian Gao, Wen Tang, Pengxin Yu, Han Kang, Junqiang Chen, Xing Lu, Boyu Zhang, Michail Mamalakis, Francesco Prinzi, Gianluca Carlini, Lisa Cuneo, Abhirup Banerjee, Zhaohu Xing, Lei Zhu, Zacharia Mesbah, Dhruv Jain, Tsiry Mayet, Hongyu Yuan, Qing Lyu, Athol Wells, Simon Walsh, Guang Yang

CoRR, 2023

Post-COVID Highlights: Challenges and Solutions of AI Techniques for Swift Identification of COVID-19.

Yingying Fang, Xiaodan Xing, Shiyi Wang, Simon Walsh, Guang Yang

CoRR, 2023

SegmentAnything helps microscopy images based automatic and quantitative organoid detection and analysis.

Xiaodan Xing, Chunling Tang, Yunzhe Guo, Nicholas Kurniawan, Guang Yang

CoRR, 2023

Enhancing Super-Resolution Networks through Realistic Thick-Slice CT Simulation.

Zeyu Tang, Xiaodan Xing, Guang Yang

CoRR, 2023

Hybrid Swin Deformable Attention U-Net for Medical Image Segmentation.

Lichao Wang, Jiahao Huang, Xiaodan Xing, Guang Yang

Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

Style Transfer and Self-Supervised Learning Powered Myocardium Infarction Super-Resolution Segmentation.

Lichao Wang, Jiahao Huang, Xiaodan Xing, Yinzhe Wu, Ramyah Rajakulasingam, Andrew D. Scott, Pedro F. Ferreira, Ranil De Silva, Sonia Nielles-Vallespin, Guang Yang

Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

You Don't Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images.

Xiaodan Xing, Federico Felder, Yang Nan, Giorgos Papanastasiou, Simon Walsh, Guang Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Is Autoencoder Truly Applicable for 3d CT Super-Resolution?

Weixun Luo, Xiaodan Xing, Guang Yang

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

The Beauty or the Beast: Which Aspect of Synthetic Medical Images Deserves Our Focus?

Xiaodan Xing, Yang Nan, Federico Felder, Simon Walsh, Guang Yang

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022

Synthetic velocity mapping cardiac MRI coupled with automated left ventricle segmentation.

Xiaodan Xing, Yinzhe Wu, David N. Firmin, Peter Gatehouse, Guang Yang

Proceedings of the Medical Imaging 2022: Image Processing, 2022

CS²: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention.

Xiaodan Xing, Jiahao Huang, Yang Nan, Yinzhe Wu, Chengjia Wang, Zhifan Gao, Simon Walsh, Guang Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast MRI.

Jiahao Huang, Xiaodan Xing, Zhifan Gao, Guang Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Diagnosis of Hippocampal Sclerosis from Clinical Routine Head MR Images Using Structure-constrained Super-Resolution Network.

Zehong Cao, Feng Shi, Qiang Xu, Gaoping Liu, Tianyang Sun, Xiaodan Xing, Yichu He, Guangming Lu, Zhiqiang Zhang, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

A Multi-scale Graph Network with Multi-head Attention for Histopathology Image Diagnosisn.

Xiaodan Xing, Yixin Ma, Lei Jin, Tianyang Sun, Zhong Xue, Feng Shi, Jinsong Wu, Dinggang Shen

Proceedings of the MICCAI Workshop on Computational Pathology, 2021

2020

Detection of Discriminative Neurological Circuits Using Hierarchical Graph Convolutional Networks in fMRI Sequences.

Xiaodan Xing, Lili Jin, Qinfeng Li, Lei Chen, Zhong Xue, Ziwen Peng, Feng Shi, Dinggang Shen

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020

2019

Dynamic Spectral Graph Convolution Networks with Assistant Task Training for Early MCI Diagnosis.

Xiaodan Xing, Qingfeng Li, Hao Wei, Minqing Zhang, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Feng Shi

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

Regression-Based Line Detection Network for Delineation of Largely Deformed Brain Midline.

Hao Wei, Xiangyu Tang, Minqing Zhang, Qingfeng Li, Xiaodan Xing, Xiang Sean Zhou, Zhong Xue, Wenzhen Zhu, Zailiang Chen, Feng Shi

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

Novel Iterative Attention Focusing Strategy for Joint Pathology Localization and Prediction of MCI Progression.

Qingfeng Li, Xiaodan Xing, Ying Sun, Bin Xiao, Hao Wei, Quan Huo, Minqing Zhang, Xiang Sean Zhou, Yiqiang Zhan, Zhong Xue, Feng Shi

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

Diagnosis of OCD using functional connectome and Riemann kernel PCA.

Xiaodan Xing, Lili Jin, Feng Shi, Ziwen Peng

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Spatial and depth weighted neural network for diagnosis of Alzheimer's disease.

Qingfeng Li, Quan Huo, Xiaodan Xing, Yiqiang Zhan, Xiang Sean Zhou, Feng Shi

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019