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 001 (Computer-Aided Diagnosis, 2019)

Diagnosis of OCD using functional connectome and Riemann kernel PCA. - Xiaodan Xing; Lili Jin; Feng Shi 001; Ziwen Peng (Computer-Aided Diagnosis, 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 001 (MICCAI (4), 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 001; Feng Shi 001 (MICCAI (3), 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 001 (MICCAI (4), 2019)

Detection of Discriminative Neurological Circuits Using Hierarchical Graph Convolutional Networks in fMRI Sequences. - Xiaodan Xing; Lili Jin; Qinfeng Li; Lei Chen 011; Zhong Xue; Ziwen Peng; Feng Shi 001; Dinggang Shen (UNSURE/GRAIL@MICCAI, 2020)

A Multi-scale Graph Network with Multi-head Attention for Histopathology Image Diagnosisn. - Xiaodan Xing; Yixin Ma; Lei Jin 006; Tianyang Sun; Zhong Xue; Feng Shi 001; Jinsong Wu 002; Dinggang Shen (COMPAY@MICCAI, 2021)

Diagnosis of Hippocampal Sclerosis from Clinical Routine Head MR Images Using Structure-constrained Super-Resolution Network. - Zehong Cao; Feng Shi 001; Qiang Xu; Gaoping Liu; Tianyang Sun; Xiaodan Xing; Yichu He; Guangming Lu 001; Zhiqiang Zhang; Dinggang Shen (MLMI@MICCAI, 2021)

Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast MRI. - Jiahao Huang; Xiaodan Xing; Zhifan Gao; Guang Yang 006 (MICCAI (6), 2022)

CS2: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention. - Xiaodan Xing; Jiahao Huang; Yang Nan 002; Yinzhe Wu 001; Chengjia Wang; Zhifan Gao; Simon Walsh; Guang Yang 006 (MICCAI (8), 2022)

Synthetic velocity mapping cardiac MRI coupled with automated left ventricle segmentation. - Xiaodan Xing; Yinzhe Wu 001; David N. Firmin; Peter Gatehouse; Guang Yang 006 (Image Processing, 2022)

The Beauty or the Beast: Which Aspect of Synthetic Medical Images Deserves Our Focus? - Xiaodan Xing; Yang Nan 002; Federico Felder; Simon Walsh; Guang Yang 006 (CBMS, 2023)

Is Autoencoder Truly Applicable for 3d CT Super-Resolution? - Weixun Luo; Xiaodan Xing; Guang Yang 006 (ISBI, 2023)

You Don't Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images. - Xiaodan Xing; Federico Felder; Yang Nan 002; Giorgos Papanastasiou; Simon Walsh; Guang Yang 006 (MICCAI (5), 2023)

Style Transfer and Self-Supervised Learning Powered Myocardium Infarction Super-Resolution Segmentation. - Lichao Wang; Jiahao Huang; Xiaodan Xing; Yinzhe Wu 001; Ramyah Rajakulasingam; Andrew D. Scott; Pedro F. Ferreira; Ranil De Silva; Sonia Nielles-Vallespin; Guang Yang 006 (SIPAIM, 2023)

Hybrid Swin Deformable Attention U-Net for Medical Image Segmentation. - Lichao Wang; Jiahao Huang; Xiaodan Xing; Guang Yang 006 (SIPAIM, 2023)

Enhancing Super-Resolution Networks through Realistic Thick-Slice CT Simulation. - Zeyu Tang 001; Xiaodan Xing; Guang Yang 006 (CoRR, 2023)

SegmentAnything helps microscopy images based automatic and quantitative organoid detection and analysis. - Xiaodan Xing; Chunling Tang; Yunzhe Guo; Nicholas Kurniawan; Guang Yang 006 (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 006 (CoRR, 2023)

Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. - Yang Nan 002; Xiaodan Xing; Shiyi Wang; Zeyu Tang 001; Federico N. Felder; Sheng Zhang 024; Roberta Eufrasia Ledda; Xiaoliu Ding; Ruiqi Yu; Weiping Liu; Feng Shi 001; Tianyang Sun; et al. (CoRR, 2023)

Less Is More: Unsupervised Mask-Guided Annotated CT Image Synthesis With Minimum Manual Segmentations. - Xiaodan Xing; Giorgos Papanastasiou; Simon Walsh; Guang Yang 006 (IEEE Trans. Medical Imaging, 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 001; Yang Li 010; Jun Xia 002; Lei Xu 037; David N. Firmin; Peter Gatehouse; Guang Yang 006 (IEEE J. Biomed. Health Informatics, 2023)

Decoding Decision Reasoning: A Counterfactual-Powered Model for Knowledge Discovery. - Yingying Fang; Zihao Jin; Xiaodan Xing; Simon Walsh; Guang Yang 006 (ISBI, 2024)

Assessing the Efficacy of Invisible Watermarks in AI-Generated Medical Images. - Xiaodan Xing; Huiyu Zhou 001; Yingying Fang; Guang Yang 006 (ISBI, 2024)

A Dual-Task Mutual Learning Framework for Predicting Post-thrombectomy Cerebral Hemorrhage. - Caiwen Jiang; Tianyu Wang; Xiaodan Xing; Mianxin Liu; Guang Yang 006; Zhongxiang Ding; Dinggang Shen (SASHIMI@MICCAI, 2024)

Preserving Cardiac Integrity: A Topology-Infused Approach to Whole Heart Segmentation. - Chenyu Zhang; Wenxue Guan; Xiaodan Xing; Guang Yang (CARE@MICCAI, 2024)

Fuzzy Attention-Based Border Rendering Network for Lung Organ Segmentation. - Sheng Zhang 024; Yang Nan 002; Yingying Fang; Shiyi Wang; Xiaodan Xing; Zhifan Gao; Guang Yang 006 (MICCAI (9), 2024)

CIResDiff: A Clinically-Informed Residual Diffusion Model for Predicting Idiopathic Pulmonary Fibrosis Progression. - Caiwen Jiang; Xiaodan Xing; Zaixin Ou; Mianxin Liu; Simon Walsh; Guang Yang 006; Dinggang Shen (MLMI@MICCAI (1), 2024)

Dynamic Multimodal Information Bottleneck for Multimodality Classification. - Yingying Fang; Shuang Wu; Sheng Zhang 024; Chaoyan Huang; Tieyong Zeng; Xiaodan Xing; Simon Walsh; Guang Yang 006 (WACV, 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 002; Sheng Zhang 024; Federico Felder; Xiaodan Xing; Yingying Fang; Javier Del Ser; Simon L. F. Walsh; Guang Yang 006 (Artif. Intell. Medicine, 2024)

Can generative AI replace immunofluorescent staining processes? A comparison study of synthetically generated cellpainting images from brightfield. - Xiaodan Xing; Siofra Murdoch; Chunling Tang; Giorgos Papanastasiou; Jan Oscar Cross-Zamirski; Yunzhe Guo; Xianglu Xiao; Carola-Bibiane Schönlieb; Yinhai Wang; Guang Yang 006 (Comput. Biol. Medicine, 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 001; Yang Nan 002; Sheng Zhang 024; Yingying Fang; Mike Roberts; Carola-Bibiane Schönlieb; Javier Del Ser; Guang Yang 006 (CoRR, 2024)

Beyond the Hype: A dispassionate look at vision-language models in medical scenario. - Yang Nan; Huichi Zhou; Xiaodan Xing; Guang Yang (CoRR, 2024)

Coupling AI and Citizen Science in Creation of Enhanced Training Dataset for Medical Image Segmentation. - Amir Syahmi; Xiangrong Lu; Yinxuan Li; Haoxuan Yao; Hanjun Jiang; Ishita Acharya; Shiyi Wang; Yang Nan; Xiaodan Xing; Guang Yang (CoRR, 2024)

MONICA: Benchmarking on Long-tailed Medical Image Classification. - Lie Ju; Siyuan Yan; Yukun Zhou; Yang Nan; Xiaodan Xing; Peibo Duan; Zongyuan Ge (CoRR, 2024)

Deep Generative Models Unveil Patterns in Medical Images Through Vision-Language Conditioning. - Xiaodan Xing; Junzhi Ning; Yang Nan 002; Guang Yang 006 (CoRR, 2024)

Anatomy-Guided Radiology Report Generation with Pathology-Aware Regional Prompts. - Yijian Gao; Dominic C. Marshall; Xiaodan Xing; Junzhi Ning; Giorgos Papanastasiou; Guang Yang 006; Matthieu Komorowski (CoRR, 2024)

Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. - Yang Nan 002; Xiaodan Xing; Shiyi Wang; Zeyu Tang 001; Federico N. Felder; Sheng Zhang 024; Roberta Eufrasia Ledda; Xiaoliu Ding; Ruiqi Yu; Weiping Liu; Feng Shi 001; Tianyang Sun; et al. (Medical Image Anal., 2024)

Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation. - Yang Nan 002; Javier Del Ser; Zeyu Tang 001; Peng Tang; Xiaodan Xing; Yingying Fang; Francisco Herrera; Witold Pedrycz; Simon Walsh; Guang Yang 006 (IEEE Trans. Neural Networks Learn. Syst., 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 006 (ACM Comput. Surv., 2024)

Real-Time Non-Invasive Imaging and Detection of Spreading Depolarizations through EEG: An Ultra-Light Explainable Deep Learning Approach. - Yinzhe Wu 001; Sharon Jewell; Xiaodan Xing; Yang Nan 002; Anthony J. Strong; Guang Yang 006; Martyn G. Boutelle (IEEE J. Biomed. Health Informatics, 2024)

Unveiling the Capabilities of Latent Diffusion Models for Classification of Lung Diseases in Chest X-Rays. - Junzhi Ning; Xiaodan Xing; Sheng Zhang; Xiao Ma; Guang Yang (ISBI, 2025)

A Parallel Network for LRCT Segmentation and Uncertainty Mitigation with Fuzzy Sets. - Shiyi Wang; Yang Nan 002; Xiaodan Xing; Yingying Fang; Simon L. F. Walsh; Guang Yang 006 (UAI, 2025)

Artificial immunofluorescence in a flash: Rapid synthetic imaging from brightfield through residual diffusion. - 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; et al. (Neurocomputing, 2025)

A lung structure and function information-guided residual diffusion model for predicting idiopathic pulmonary fibrosis progression. - Caiwen Jiang; Xiaodan Xing; Yang Nan 002; Yingying Fang; Sheng Zhang 024; Simon Walsh; Guang Yang 006; Dinggang Shen (Medical Image Anal., 2025)

Revisiting medical image retrieval via knowledge consolidation. - Yang Nan 002; Huichi Zhou; Xiaodan Xing; Giorgos Papanastasiou; Lei Zhu 003; Zhifan Gao; Alejandro F. Frangi; Guang Yang 006 (Medical Image Anal., 2025)

On the caveats of AI autophagy. - Xiaodan Xing; Fadong Shi; Jiahao Huang; Yinzhe Wu 001; Yang Nan 002; Sheng Zhang 024; Yingying Fang; Michael Roberts; Carola-Bibiane Schönlieb; Javier Del Ser; Guang Yang 006 (Nat. Mac. Intell., 2025)

Unpaired translation of chest X-ray images for lung opacity diagnosis via adaptive activation masks and cross-domain alignment. - Junzhi Ning; Dominic C. Marshall; Yijian Gao; Xiaodan Xing; Yang Nan 002; Yingying Fang; Sheng Zhang 024; Matthieu Komorowski; Guang Yang 006 (Pattern Recognit. Lett., 2025)