Xiaoying Tang
Orcid: 0000-0002-7549-6560Affiliations:
- Southern University of Science and Technology, Shenzhen, Guangdong, China
According to our database1,
Xiaoying Tang
authored at least 110 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
FPT: Fine-grained Prompt Tuning for Parameter and Memory Efficient Fine Tuning in High-resolution Medical Image Classification.
CoRR, 2024
FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-supervised Medical Image Segmentation.
CoRR, 2024
CoRR, 2024
2023
autoSMIM: Automatic Superpixel-Based Masked Image Modeling for Skin Lesion Segmentation.
IEEE Trans. Medical Imaging, December, 2023
IEEE Trans. Cogn. Dev. Syst., December, 2023
Medical Image Anal., December, 2023
YoloCurvSeg: You only label one noisy skeleton for vessel-style curvilinear structure segmentation.
Medical Image Anal., December, 2023
CoRR, 2023
JOINEDTrans: Prior Guided Multi-task Transformer for Joint Optic Disc/Cup Segmentation and Fovea Detection.
CoRR, 2023
Learning Enhancement From Degradation: A Diffusion Model For Fundus Image Enhancement.
CoRR, 2023
MEDKD: Enhancing Medical Image Classification with Multiple Expert Decoupled Knowledge Distillation for Long-Tail Data.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Unifying and Personalizing Weakly-Supervised Federated Medical Image Segmentation via Adaptive Representation and Aggregation.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
An FPGA-based edge computing and accelerating platform for fast diabetic retinopathy diagnosis.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Proceedings of the Medical Imaging with Deep Learning, 2023
MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance Imaging.
Proceedings of the Medical Imaging with Deep Learning, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Learning Ontology-Based Hierarchical Structural Relationship for Whole Brain Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
TriFormer: A Multi-modal Transformer Framework For Mild Cognitive Impairment Conversion Prediction.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Uno-Qa: an Unsupervised Anomaly-Aware Framework with Test-Time Clustering for Octa Image Quality Assessment.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation.
IEEE Trans. Medical Imaging, 2022
SSiT: Saliency-guided Self-supervised Image Transformer for Diabetic Retinopathy Grading.
CoRR, 2022
DS3-Net: Difficulty-perceived Common-to-T1ce Semi-Supervised Multimodal MRI Synthesis Network.
CoRR, 2022
Multi-modal Brain Tumor Segmentation via Missing Modality Synthesis and Modality-level Attention Fusion.
CoRR, 2022
Student Become Decathlon Master in Retinal Vessel Segmentation via Dual-teacher Multi-target Domain Adaptation.
CoRR, 2022
JOINED : Prior Guided Multi-task Learning for Joint Optic Disc/Cup Segmentation and Fovea Detection.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Student Becomes Decathlon Master in Retinal Vessel Segmentation via Dual-Teacher Multi-target Domain Adaptation.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
DS<sup>3</sup>-Net: Difficulty-Perceived Common-to-T1ce Semi-supervised Multimodal MRI Synthesis Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022
Uni4Eye: Unified 2D and 3D Self-supervised Pre-training via Masked Image Modeling Transformer for Ophthalmic Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Superpixel Inpainting For Self-Supervised Skin Lesion Segmentation from Dermoscopic Images.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Unsupervised Domain Adaptation for Cross-Modality Retinal Vessel Segmentation via Disentangling Representation Style Transfer and Collaborative Consistency Learning.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Corolla: An Efficient Multi-Modality Fusion Framework with Supervised Contrastive Learning for Glaucoma Grading.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Utilizing average symmetrical surface distance in active shape modeling for subcortical surface generation with slow-fast learning.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Multi-parametric Magnetic Resonance Imaging Fusion for Automatic Classification of Prostate Cancer.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
MI-UNet: Multi-Inputs UNet Incorporating Brain Parcellation for Stroke Lesion Segmentation From T1-Weighted Magnetic Resonance Images.
IEEE J. Biomed. Health Informatics, 2021
Brain segmentation based on multi-atlas and diffeomorphism guided 3D fully convolutional network ensembles.
Pattern Recognit., 2021
A deep learning framework for pancreas segmentation with multi-atlas registration and 3D level-set.
Medical Image Anal., 2021
Identifying the key components in ResNet-50 for diabetic retinopathy grading from fundus images: a systematic investigation.
CoRR, 2021
LDDMM-Face: Large Deformation Diffeomorphic Metric Learning for Flexible and Consistent Face Alignment.
CoRR, 2021
Proceedings of the Ophthalmic Medical Image Analysis - 8th International Workshop, 2021
Proceedings of the Ophthalmic Medical Image Analysis - 8th International Workshop, 2021
BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Lesion-Based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
I-SECRET: Importance-Guided Fundus Image Enhancement via Semi-supervised Contrastive Constraining.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Automated Segmentation Of Corneal Nerves In Confocal Microscopy Via Contrastive Learning Based Synthesis And Quality Enhancement.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Automatic hippocampal surface generation via 3D U-net and active shape modeling with hybrid particle swarm optimization.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Multi-modality Large Deformation Diffeomorphic Metric Mapping Driven by Single-modality Images.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
A Hybrid Learning Pipeline for Automated Diagnosis of First-Episode Schizophrenia Utilizing T1-weighted Images.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Multi-task Learning Based Ocular Disease Discrimination and FAZ Segmentation Utilizing OCTA Images.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Generative Adversarial Training with Dual-Attention for Vascular Segmentation and Topological Analysis.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the 7th IEEE International Conference on Cloud Computing and Intelligent Systems, 2021
2020
A Large Deformation Diffeomorphic Framework for Fast Brain Image Registration via Parallel Computing and Optimization.
Neuroinformatics, 2020
Efficient and robust optic disc detection and fovea localization using region proposal network and cascaded network.
Biomed. Signal Process. Control., 2020
Deep Learning Initialized and Gradient Enhanced Level-Set Based Segmentation for Liver Tumor From CT Images.
IEEE Access, 2020
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Coarse-to-fine Kidney Segmentation Incorporating Abnormality Detection and Correction.
Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020
A Deep Learning Pipeline Incorporating Level Set for Vascular Segmentation and Topological Analysis.
Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020
Deep Learning Based Discrimination of Corneal Ulcer Patterns Using Fluorescein Staining Images.
Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020
Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020
Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020
Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020
Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Deep Learning and Unsupervised Fuzzy C-Means Based Level-Set Segmentation for Liver Tumor.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Automated Hemorrhage Detection from Coarsely Annotated Fundus Images in Diabetic Retinopathy.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Utility of Brain Parcellation in Enhancing Brain Tumor Segmentation and Survival Prediction.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
2019
Brain segmentation based on multi-atlas guided 3D fully convolutional network ensembles.
CoRR, 2019
IEEE Access, 2019
Whole brain volume and cortical thickness based automatic classification of Wilson's disease.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Automated Classification of Amyotrophic Lateral Sclerosis Using Multi-level Whole-brain Volumes from Structural Magnetic Resonance Imaging.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Fundus Image Based Retinal Vessel Segmentation Utilizing a Fast and Accurate Fully Convolutional Network.
Proceedings of the Ophthalmic Medical Image Analysis - 6th International Workshop, 2019
3D Fully Convolutional Network Incorporating Savitzky-Golay Filtering for Prostate Segmentation.
Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019
Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019
Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
A Multi-Atlas Guided 3D Fully Convolutional Network for MRI-Based Subcortical Segmentation.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Fully Automatic White Matter Hyperintensity Segmentation using U-net and Skip Connection.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Simultaneous Tissue Classification and Lateral Ventricle Segmentation via a 2D U-net Driven by a 3D Fully Convolutional Neural Network.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Automatic Corneal Ulcer Segmentation Combining Gaussian Mixture Modeling and Otsu Method.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the 2019 IEEE Asia Pacific Conference on Circuits and Systems, 2019
2018
Fast diffeomorphic image registration via GPU-based parallel computing: an investigation of the matching cost function.
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018
Classifying Alzheimer's disease using probability distribution distance of fractional anisotropy and trace from diffusion tensor imaging in combination with whole-brain segmentations.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018
Changepoint analysis of putamen and thalamus subregions in premanifest huntington's disease.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Geometry-Based Facial Expression Recognition via Large Deformation Diffeomorphic Metric Curve Mapping.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
A post-processing method to improve the white matter hyperintensity segmentation accuracy for randomly-initialized U-net.
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018
Superpixel Based Automatic Segmentation of Corneal Ulcers from Ocular Staining Images.
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018
2017
Geodesic distance on a Grassmannian for monitoring the progression of Alzheimer's disease.
NeuroImage, 2017
Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017
Automated diagnosis of Alzheimer's disease with multi-atlas based whole brain segmentations.
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017
Regression Analysis and Prediction of Mini-Mental State Examination Score in Alzheimer's Disease Using Multi-granularity Whole-Brain Segmentations.
Proceedings of the Smart Health - International Conference, 2017
Analysis of mitochondrial shape dynamics using large deformation diffeomorphic metric curve matching.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
2016
Principal component analysis of the shape deformations of the hippocampus in Alzheimer's disease.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Proceedings of the 13th Conference on Computer and Robot Vision, 2016
2015
Simultaneous skull-stripping and lateral ventricle segmentation via fast multi-atlas likelihood fusion.
Proceedings of the Medical Imaging 2015: Image Processing, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Tools for multiple granularity analysis of brain MRI data for individualized image analysis.
NeuroImage, 2014
2013
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013