Xiaoying Tang

Orcid: 0000-0002-7549-6560

Affiliations:
  • Southern University of Science and Technology, Shenzhen, Guangdong, China


According to our database1, Xiaoying Tang authored at least 125 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Uni4Eye++: A General Masked Image Modeling Multi-Modal Pre-Training Framework for Ophthalmic Image Classification and Segmentation.
IEEE Trans. Medical Imaging, December, 2024

SSiT: Saliency-Guided Self-Supervised Image Transformer for Diabetic Retinopathy Grading.
IEEE J. Biomed. Health Informatics, May, 2024

LDDMM-Face: Large deformation diffeomorphic metric learning for cross-annotation face alignment.
Pattern Recognit., 2024

FPT+: A Parameter and Memory Efficient Transfer Learning Method for High-resolution Medical Image Classification.
CoRR, 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

ProCNS: Progressive Prototype Calibration and Noise Suppression for Weakly-Supervised Medical Image Segmentation.
CoRR, 2024

Dual Teacher Knowledge Distillation with Domain Alignment for Face Anti-spoofing.
CoRR, 2024

JOINEDTrans: Prior guided multi-task transformer for joint optic disc/cup segmentation and fovea detection.
Comput. Biol. Medicine, 2024

AugPaste: A one-shot approach for diabetic retinopathy detection.
Biomed. Signal Process. Control., 2024

SnapSeg: Training-Free Few-Shot Medical Image Segmentation with Segment Anything Model.
Proceedings of the Trustworthy Artificial Intelligence for Healthcare, 2024

CSSD: Cross-Supervision and Self-denoising for Hybrid-Supervised Hepatic Vessel Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

Fine-Grained Prompt Tuning: A Parameter and Memory Efficient Transfer Learning Method for High-Resolution Medical Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

BPaCo: Balanced Parametric Contrastive Learning for Long-Tailed Medical Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Saliency-Guided and Patch-Based Mixup for Long-Tailed Skin Cancer Image Classification.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Text-Guided Foundation Model Adaptation for Long-Tailed Medical Image Classification.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Unveiling the Power of High-Quality OCT: An Effective Fundus-based Modality Fusion Network for Fovea Localization.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

ASLSEG: Adapting Sam in the Loop for Semi-Supervised Liver Tumor Segmentation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
autoSMIM: Automatic Superpixel-Based Masked Image Modeling for Skin Lesion Segmentation.
IEEE Trans. Medical Imaging, December, 2023

Network Analysis on Cortical Morphometry in First-Episode Schizophrenia.
IEEE Trans. Cogn. Dev. Syst., December, 2023

GAMMA challenge: Glaucoma grAding from Multi-Modality imAges.
Medical Image Anal., December, 2023

YoloCurvSeg: You only label one noisy skeleton for vessel-style curvilinear structure segmentation.
Medical Image Anal., December, 2023

Detecting Geothermal Anomalies Using Multi-Temporal Thermal Infrared Remote Sensing Data in the Damxung-Yangbajain Basin, Qinghai-Tibet Plateau.
Remote. Sens., September, 2023

Super-Resolution on Rotationally Scanned Photoacoustic Microscopy Images Incorporating Scanning Prior.
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

CCMix: Curriculum of Class-Wise Mixup for Long-Tailed Medical Image Classification.
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

Prior Guided 3D Medical Image Landmark Localization.
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

Whole-Heart Reconstruction with Explicit Topology Integrated Learning.
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

Segmentation of Brachial Plexus Ultrasound Images Based on Modified SegNet Model.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023

PRIOR: Prototype Representation Joint Learning from Medical Images and Reports.
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

DS3-Net: Difficulty-perceived Common-to-T1ce Semi-Supervised Multimodal MRI Synthesis Network.
CoRR, 2022

LesionPaste: One-Shot Anomaly Detection for Medical Images.
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

GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges.
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

AugPaste: One-Shot Anomaly Detection for Medical Images.
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

Lesion2void: Unsupervised Anomaly Detection in Fundus Images.
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

Transformer-Based T2-weighted MRI Synthesis from T1-weighted Images.
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

Adjacent Scale Fusion and Corneal Position Embedding for Corneal Ulcer Segmentation.
Proceedings of the Ophthalmic Medical Image Analysis - 8th International Workshop, 2021

FARGO: A Joint Framework for FAZ and RV Segmentation from OCTA Images.
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

Prior Guided Fundus Image Quality Enhancement Via Contrastive Learning.
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

Non-Mydriatic Fundus Images Enhancement Based on Conformal Mapping Extension.
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

A 3D+2D CNN Approach Incorporating Boundary Loss for Stroke Lesion Segmentation.
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

Automated Diabetic Retinopathy Identification via Lesion Guided Network.
Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020

Transfer Learning for Automatic Cornea Segmentation based on Ocular Staining Images.
Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020

Dental pulp segmentation from cone-beam computed tomography images.
Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020

Multi-modal MRI synthesization based on StarGAN.
Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020

Liver Guided Pancreas Segmentation.
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

Probability distribution guided optic disc and cup segmentation from fundus images.
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

Skip Connection U-Net for White Matter Hyperintensities Segmentation From MRI.
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

A Joint 3D+2D Fully Convolutional Framework for Subcortical Segmentation.
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

Fully Automatic Diameter Measurement Method Based on Retinal Vessel Segmentation.
Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019

Region Growing Model with Edge Restrictions for Multiple Roots Tooth Segmentation.
Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019

Prostate Segmentation Using Z-Net.
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

Prostate Segmentation using 2D Bridged U-net.
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

Analog Implementation of Reconfigurable Convolutional Neural Network Kernels.
Proceedings of the 2019 IEEE Asia Pacific Conference on Circuits and Systems, 2019

2018
W-net: Bridged U-net for 2D Medical Image Segmentation.
CoRR, 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

Automatic segmentation of corneal ulcer area based on ocular staining images.
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

Patch-Based Deep Convolutional Neural Network for Corneal Ulcer Area Segmentation.
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

Change Point Estimation of the Hippocampal Volumes in Alzheimer's Disease.
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

A fast atlas pre-selection procedure for multi-atlas based brain segmentation.
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
Metric Space Structures for Computational Anatomy.
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013


  Loading...