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2020 – today
- 2025
[j9]Xiaodan Xing, Chunling Tang, Siofra Murdoch, Giorgos Papanastasiou, Yunzhe Guo, Xianglu Xiao, Jan Oscar Cross-Zamirski, Carola-Bibiane Schönlieb, Kristina Xiao Liang, Zhangming Niu, Evandro Fei Fang, Yinhai Wang, Guang Yang:
Artificial immunofluorescence in a flash: Rapid synthetic imaging from brightfield through residual diffusion. Neurocomputing 612: 128715 (2025)- 2024
- [j8]Shiyi Wang, Yang Nan, Sheng Zhang, Federico Felder, Xiaodan Xing, Yingying Fang, Javier Del Ser, Simon L. F. Walsh, Guang Yang:
Probing perfection: The relentless art of meddling for pulmonary airway segmentation from HRCT via a human-AI collaboration based active learning method. Artif. Intell. Medicine 154: 102930 (2024) - [j7]Xiaodan Xing, Siofra Murdoch, Chunling Tang
, Giorgos Papanastasiou, Jan Oscar Cross-Zamirski, Yunzhe Guo, Xianglu Xiao, Carola-Bibiane Schönlieb, Yinhai Wang, Guang Yang:
Can generative AI replace immunofluorescent staining processes? A comparison study of synthetically generated cellpainting images from brightfield. Comput. Biol. Medicine 182: 109102 (2024) - [j6]Xiaodan Xing, Huanjun Wu, Lichao Wang, Iain Stenson, May Yong, Javier Del Ser, Simon Walsh, Guang Yang:
Non-imaging Medical Data Synthesis for Trustworthy AI: A Comprehensive Survey. ACM Comput. Surv. 56(7): 165:1-165:35 (2024) - [j5]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:
Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. Medical Image Anal. 97: 103253 (2024) - [j4]Yinzhe Wu, Sharon Jewell, Xiaodan Xing, Yang Nan, Anthony J. Strong, Guang Yang, Martyn G. Boutelle:
Real-Time Non-Invasive Imaging and Detection of Spreading Depolarizations through EEG: An Ultra-Light Explainable Deep Learning Approach. IEEE J. Biomed. Health Informatics 28(10): 5780-5791 (2024) - [j3]Yang Nan, Javier Del Ser, Zeyu Tang, Peng Tang, Xiaodan Xing, Yingying Fang, Francisco Herrera, Witold Pedrycz, Simon Walsh, Guang Yang:
Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7391-7404 (2024) - [c22]Yingying Fang, Zihao Jin, Xiaodan Xing, Simon Walsh, Guang Yang:
Decoding Decision Reasoning: A Counterfactual-Powered Model for Knowledge Discovery. ISBI 2024: 1-5 - [c21]Xiaodan Xing, Huiyu Zhou, Yingying Fang, Guang Yang:
Assessing the Efficacy of Invisible Watermarks in AI-Generated Medical Images. ISBI 2024: 1-5 - [c20]Caiwen Jiang, Tianyu Wang, Xiaodan Xing, Mianxin Liu, Guang Yang, Zhongxiang Ding, Dinggang Shen:
A Dual-Task Mutual Learning Framework for Predicting Post-thrombectomy Cerebral Hemorrhage. SASHIMI@MICCAI 2024: 58-68 - [c19]Sheng Zhang, Yang Nan, Yingying Fang, Shiyi Wang, Xiaodan Xing, Zhifan Gao, Guang Yang:
Fuzzy Attention-Based Border Rendering Network for Lung Organ Segmentation. MICCAI (9) 2024: 297-307 - [c18]Caiwen Jiang, Xiaodan Xing, Zaixin Ou, Mianxin Liu, Simon Walsh, Guang Yang, Dinggang Shen:
CIResDiff: A Clinically-Informed Residual Diffusion Model for Predicting Idiopathic Pulmonary Fibrosis Progression. MLMI@MICCAI (1) 2024: 83-93 - [c17]Yingying Fang, Shuang Wu, Sheng Zhang, Chaoyan Huang, Tieyong Zeng, Xiaodan Xing, Simon Walsh, Guang Yang:
Dynamic Multimodal Information Bottleneck for Multimodality Classification. WACV 2024: 7681-7691 - [i25]Xiaodan Xing, Huiyu Zhou, Yingying Fang, Guang Yang:
Assessing the Efficacy of Invisible Watermarks in AI-Generated Medical Images. CoRR abs/2402.03473 (2024) - [i24]Xiaodan Xing, Fadong Shi, Jiahao Huang, Yinzhe Wu, Yang Nan, Sheng Zhang, Yingying Fang, Mike Roberts, Carola-Bibiane Schönlieb, Javier Del Ser, Guang Yang:
When AI Eats Itself: On the Caveats of Data Pollution in the Era of Generative AI. CoRR abs/2405.09597 (2024) - [i23]Sheng Zhang, Yang Nan, Yingying Fang, Shiyi Wang, Xiaodan Xing, Zhifan Gao, Guang Yang:
Fuzzy Attention-based Border Rendering Network for Lung Organ Segmentation. CoRR abs/2406.16189 (2024) - [i22]Yingying Fang, Zihao Jin, Xiaodan Xing, Simon Walsh, Guang Yang:
Decoding Decision Reasoning: A Counterfactual-Powered Model for Knowledge Discovery. CoRR abs/2406.18552 (2024) - [i21]Shiyi Wang, Yang Nan, Sheng Zhang, Federico Felder, Xiaodan Xing, Yingying Fang, Javier Del Ser, Simon L. F. Walsh, Guang Yang:
Probing Perfection: The Relentless Art of Meddling for Pulmonary Airway Segmentation from HRCT via a Human-AI Collaboration Based Active Learning Method. CoRR abs/2407.03542 (2024) - [i20]Caiwen Jiang, Xiaodan Xing, Zaixin Ou, Mianxin Liu, Simon Walsh, Guang Yang, Dinggang Shen:
CIResDiff: A Clinically-Informed Residual Diffusion Model for Predicting Idiopathic Pulmonary Fibrosis Progression. CoRR abs/2408.00938 (2024) - [i19]Caiwen Jiang, Tianyu Wang, Xiaodan Xing, Mianxin Liu, Guang Yang, Zhongxiang Ding, Dinggang Shen:
A dual-task mutual learning framework for predicting post-thrombectomy cerebral hemorrhage. CoRR abs/2408.00940 (2024) - [i18]Yang Nan, Huichi Zhou, Xiaodan Xing, Guang Yang:
Beyond the Hype: A dispassionate look at vision-language models in medical scenario. CoRR abs/2408.08704 (2024) - [i17]Amir Syahmi, Xiangrong Lu, Yinxuan Li, Haoxuan Yao, Hanjun Jiang, Ishita Acharya, Shiyi Wang, Yang Nan, Xiaodan Xing, Guang Yang:
Coupling AI and Citizen Science in Creation of Enhanced Training Dataset for Medical Image Segmentation. CoRR abs/2409.03087 (2024) - 2023
- [j2]Xiaodan Xing, Javier Del Ser, Yinzhe Wu, Yang Li, Jun Xia, Lei Xu, David N. Firmin, Peter Gatehouse, Guang Yang:
HDL: Hybrid Deep Learning for the Synthesis of Myocardial Velocity Maps in Digital Twins for Cardiac Analysis. IEEE J. Biomed. Health Informatics 27(10): 5134-5142 (2023) - [j1]Xiaodan Xing, Giorgos Papanastasiou, Simon Walsh, Guang Yang:
Less Is More: Unsupervised Mask-Guided Annotated CT Image Synthesis With Minimum Manual Segmentations. IEEE Trans. Medical Imaging 42(9): 2566-2576 (2023) - [c16]Xiaodan Xing, Yang Nan, Federico Felder, Simon Walsh, Guang Yang:
The Beauty or the Beast: Which Aspect of Synthetic Medical Images Deserves Our Focus? CBMS 2023: 523-528 - [c15]Weixun Luo, Xiaodan Xing, Guang Yang:
Is Autoencoder Truly Applicable for 3d CT Super-Resolution? ISBI 2023: 1-4 - [c14]Xiaodan Xing, Federico Felder, Yang Nan, Giorgos Papanastasiou, Simon Walsh, Guang Yang:
You Don't Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images. MICCAI (5) 2023: 13-22 - [c13]Lichao Wang, Jiahao Huang, Xiaodan Xing, Yinzhe Wu, Ramyah Rajakulasingam, Andrew D. Scott, Pedro F. Ferreira, Ranil De Silva, Sonia Nielles-Vallespin, Guang Yang:
Style Transfer and Self-Supervised Learning Powered Myocardium Infarction Super-Resolution Segmentation. SIPAIM 2023: 1-5 - [c12]Lichao Wang, Jiahao Huang, Xiaodan Xing, Guang Yang:
Hybrid Swin Deformable Attention U-Net for Medical Image Segmentation. SIPAIM 2023: 1-5 - [i16]Weixun Luo, Xiaodan Xing, Guang Yang:
Is Autoencoder Truly Applicable for 3D CT Super-Resolution? CoRR abs/2302.10272 (2023) - [i15]Xiaodan Xing, Giorgos Papanastasiou, Simon Walsh, Guang Yang:
Less is More: Unsupervised Mask-guided Annotated CT Image Synthesis with Minimum Manual Segmentations. CoRR abs/2303.12747 (2023) - [i14]Xiaodan Xing, Yang Nan, Federico Felder, Simon Walsh, Guang Yang:
The Beauty or the Beast: Which Aspect of Synthetic Medical Images Deserves Our Focus? CoRR abs/2305.09789 (2023) - [i13]Xiaodan Xing, Federico Felder, Yang Nan, Giorgos Papanastasiou, Simon Walsh, Guang Yang:
You Don't Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images. CoRR abs/2305.18337 (2023) - [i12]Zeyu Tang, Xiaodan Xing, Guang Yang:
Enhancing Super-Resolution Networks through Realistic Thick-Slice CT Simulation. CoRR abs/2307.10182 (2023) - [i11]Xiaodan Xing, Chunling Tang, Yunzhe Guo, Nicholas Kurniawan, Guang Yang:
SegmentAnything helps microscopy images based automatic and quantitative organoid detection and analysis. CoRR abs/2309.04190 (2023) - [i10]Lichao Wang, Jiahao Huang, Xiaodan Xing, Yinzhe Wu, Ramyah Rajakulasingam, Andrew D. Scott, Pedro F. Ferreira, Ranil De Silva, Sonia Nielles-Vallespin, Guang Yang:
Style Transfer and Self-Supervised Learning Powered Myocardium Infarction Super-Resolution Segmentation. CoRR abs/2309.15485 (2023) - [i9]Yingying Fang, Shuang Wu, Sheng Zhang, Chaoyan Huang, Tieyong Zeng, Xiaodan Xing, Simon Walsh, Guang Yang:
Dynamic Multimodal Information Bottleneck for Multimodality Classification. CoRR abs/2311.01066 (2023) - [i8]Yingying Fang, Xiaodan Xing, Shiyi Wang, Simon Walsh, Guang Yang:
Post-COVID Highlights: Challenges and Solutions of AI Techniques for Swift Identification of COVID-19. CoRR abs/2311.06258 (2023) - [i7]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:
Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. CoRR abs/2312.13752 (2023) - 2022
- [c11]Xiaodan Xing, Jiahao Huang, Yang Nan, Yinzhe Wu, Chengjia Wang, Zhifan Gao, Simon Walsh, Guang Yang:
CS2: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention. MICCAI (8) 2022: 3-12 - [c10]Jiahao Huang, Xiaodan Xing, Zhifan Gao, Guang Yang:
Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast MRI. MICCAI (6) 2022: 538-548 - [c9]Xiaodan Xing, Yinzhe Wu, David N. Firmin, Peter Gatehouse, Guang Yang:
Synthetic velocity mapping cardiac MRI coupled with automated left ventricle segmentation. Medical Imaging: Image Processing 2022 - [i6]Xiaodan Xing, Javier Del Ser, Yinzhe Wu, Yang Li, Jun Xia, Lei Xu, David N. Firmin, Peter Gatehouse, Guang Yang:
HDL: Hybrid Deep Learning for the Synthesis of Myocardial Velocity Maps in Digital Twins for Cardiac Analysis. CoRR abs/2203.05564 (2022) - [i5]Xiaodan Xing, Jiahao Huang, Yang Nan, Yinzhe Wu, Chengjia Wang, Zhifan Gao, Simon Walsh, Guang Yang:
CS2: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention. CoRR abs/2206.13394 (2022) - [i4]Jiahao Huang, Xiaodan Xing, Zhifan Gao, Guang Yang:
Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast MRI. CoRR abs/2207.02390 (2022) - [i3]Yang Nan, Javier Del Ser, Zeyu Tang, Peng Tang, Xiaodan Xing, Yingying Fang, Francisco Herrera, Witold Pedrycz, Simon Walsh, Guang Yang:
Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation. CoRR abs/2209.02048 (2022) - [i2]Xiaodan Xing, Huanjun Wu, Lichao Wang, Iain Stenson, May Yong, Javier Del Ser, Simon Walsh, Guang Yang:
Non-Imaging Medical Data Synthesis for Trustworthy AI: A Comprehensive Survey. CoRR abs/2209.09239 (2022) - 2021
- [c8]Xiaodan Xing, Yixin Ma, Lei Jin, Tianyang Sun, Zhong Xue, Feng Shi, Jinsong Wu, Dinggang Shen:
A Multi-scale Graph Network with Multi-head Attention for Histopathology Image Diagnosisn. COMPAY@MICCAI 2021: 227-235 - [c7]Zehong Cao, Feng Shi, Qiang Xu, Gaoping Liu, Tianyang Sun, Xiaodan Xing, Yichu He, Guangming Lu, Zhiqiang Zhang, Dinggang Shen:
Diagnosis of Hippocampal Sclerosis from Clinical Routine Head MR Images Using Structure-constrained Super-Resolution Network. MLMI@MICCAI 2021: 258-266 - [i1]Xiaodan Xing, Yinzhe Wu, David N. Firmin, Peter Gatehouse, Guang Yang:
Synthetic Velocity Mapping Cardiac MRI Coupled with Automated Left Ventricle Segmentation. CoRR abs/2110.01304 (2021) - 2020
- [c6]Xiaodan Xing, Lili Jin, Qinfeng Li, Lei Chen, Zhong Xue, Ziwen Peng, Feng Shi, Dinggang Shen:
Detection of Discriminative Neurological Circuits Using Hierarchical Graph Convolutional Networks in fMRI Sequences. UNSURE/GRAIL@MICCAI 2020: 121-130
2010 – 2019
- 2019
- [c5]Xiaodan Xing, Lili Jin, Feng Shi, Ziwen Peng:
Diagnosis of OCD using functional connectome and Riemann kernel PCA. Medical Imaging: Computer-Aided Diagnosis 2019: 109502C - [c4]Qingfeng Li, Quan Huo, Xiaodan Xing, Yiqiang Zhan, Xiang Sean Zhou, Feng Shi:
Spatial and depth weighted neural network for diagnosis of Alzheimer's disease. Medical Imaging: Computer-Aided Diagnosis 2019: 1095028 - [c3]Qingfeng Li, Xiaodan Xing, Ying Sun, Bin Xiao, Hao Wei, Quan Huo, Minqing Zhang, Xiang Sean Zhou, Yiqiang Zhan, Zhong Xue, Feng Shi:
Novel Iterative Attention Focusing Strategy for Joint Pathology Localization and Prediction of MCI Progression. MICCAI (4) 2019: 307-315 - [c2]Xiaodan Xing, Qingfeng Li, Hao Wei, Minqing Zhang, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Feng Shi:
Dynamic Spectral Graph Convolution Networks with Assistant Task Training for Early MCI Diagnosis. MICCAI (4) 2019: 639-646 - [c1]Hao Wei, Xiangyu Tang, Minqing Zhang, Qingfeng Li, Xiaodan Xing, Xiang Sean Zhou, Zhong Xue, Wenzhen Zhu, Zailiang Chen, Feng Shi:
Regression-Based Line Detection Network for Delineation of Largely Deformed Brain Midline. MICCAI (3) 2019: 839-847
Coauthor Index
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