Xin Yang

Orcid: 0000-0003-4653-6524

Affiliations:

Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
Shenzhen University, School of Medicine, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, China (former)

According to our database¹, Xin Yang authored at least 88 papers between 2013 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Segment anything model for medical images?

[BibT_eX]

[DOI]

Medical Image Anal., February, 2024

FetusMapV2: Enhanced fetal pose estimation in 3D ultrasound.

[BibT_eX]

[DOI]

Medical Image Anal., January, 2024

2023

Test-time bi-directional adaptation between image and model for robust segmentation.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., May, 2023

RecON: Online learning for sensorless freehand 3D ultrasound reconstruction.

[BibT_eX]

[DOI]

Medical Image Anal., 2023

FetusMapV2: Enhanced Fetal Pose Estimation in 3D Ultrasound.

[BibT_eX]

[DOI]

CoRR, 2023

OnUVS: Online Feature Decoupling Framework for High-Fidelity Ultrasound Video Synthesis.

[BibT_eX]

[DOI]

CoRR, 2023

The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions.

[BibT_eX]

[DOI]

CoRR, 2023

Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 Challenge.

[BibT_eX]

[DOI]

the FLARE Challenge Consortium

Bo Wang

CoRR, 2023

Segment Anything Model for Medical Images?

[BibT_eX]

[DOI]

CoRR, 2023

FFPN: Fourier Feature Pyramid Network for Ultrasound Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

PE-MED: Prompt Enhancement for Interactive Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Inflated 3D Convolution-Transformer for Weakly-Supervised Carotid Stenosis Grading with Ultrasound Videos.

[BibT_eX]

[DOI]

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

Multi-IMU with Online Self-consistency for Freehand 3D Ultrasound Reconstruction.

[BibT_eX]

[DOI]

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

Instructive Feature Enhancement for Dichotomous Medical Image Segmentation.

[BibT_eX]

[DOI]

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

Fourier Test-Time Adaptation with Multi-level Consistency for Robust Classification.

[BibT_eX]

[DOI]

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

GSMorph: Gradient Surgery for Cine-MRI Cardiac Deformable Registration.

[BibT_eX]

[DOI]

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

Hierarchical Agent-Based Reinforcement Learning Framework for Automated Quality Assessment of Fetal Ultrasound Video.

[BibT_eX]

[DOI]

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

2022

Joint Landmark and Structure Learning for Automatic Evaluation of Developmental Dysplasia of the Hip.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2022

AWSnet: An auto-weighted supervision attention network for myocardial scar and edema segmentation in multi-sequence cardiac magnetic resonance images.

[BibT_eX]

[DOI]

Medical Image Anal., 2022

Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis.

[BibT_eX]

[DOI]

Medical Image Anal., 2022

Boundary-rendering network for breast lesion segmentation in ultrasound images.

[BibT_eX]

[DOI]

Medical Image Anal., 2022

HASA: Hybrid architecture search with aggregation strategy for echinococcosis classification and ovary segmentation in ultrasound images.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2022

Agent with Tangent-Based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound.

[BibT_eX]

[DOI]

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

Deep Motion Network for Freehand 3D Ultrasound Reconstruction.

[BibT_eX]

[DOI]

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

Weakly-Supervised High-Fidelity Ultrasound Video Synthesis with Feature Decoupling.

[BibT_eX]

[DOI]

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

Online Reflective Learning for Robust Medical Image Segmentation.

[BibT_eX]

[DOI]

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

Fine-Grained Correlation Loss for Regression.

[BibT_eX]

[DOI]

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

Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Agent With Warm Start and Adaptive Dynamic Termination for Plane Localization in 3D Ultrasound.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI.

[BibT_eX]

[DOI]

Clemente Velasco-Annis

IEEE Trans. Medical Imaging, 2021

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

Learn Fine-Grained Adaptive Loss for Multiple Anatomical Landmark Detection in Medical Images.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2021

Contrastive rendering with semi-supervised learning for ovary and follicle segmentation from 3D ultrasound.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Searching collaborative agents for multi-plane localization in 3D ultrasound.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Modality alignment contrastive learning for severity assessment of COVID-19 from lung ultrasound and clinical information.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

AW3M: An auto-weighting and recovery framework for breast cancer diagnosis using multi-modal ultrasound.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Style Curriculum Learning for Robust Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Flip Learning: Erase to Segment.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound.

[BibT_eX]

[DOI]

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

Generalize Ultrasound Image Segmentation Via Instant And Plug & Play Style Transfer.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

DoFE: Domain-Oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2020

Deeply-Supervised Networks With Threshold Loss for Cancer Detection in Automated Breast Ultrasound.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2020

CR-Unet: A Composite Network for Ovary and Follicle Segmentation in Ultrasound Images.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2020

Uncertainty-aware domain alignment for anatomical structure segmentation.

[BibT_eX]

[DOI]

Medical Image Anal., 2020

A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging.

[BibT_eX]

[DOI]

CoRR, 2020

Hybrid attention for automatic segmentation of whole fetal head in prenatal ultrasound volumes.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2020

Bridge Segmentation Performance Gap Via Evolving Shape Prior.

[BibT_eX]

[DOI]

IEEE Access, 2020

Computer-Aided Tumor Diagnosis in Automated Breast Ultrasound Using 3D Detection Network.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Auto-weighting for Breast Cancer Classification in Multimodal Ultrasound.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Remote Intelligent Assisted Diagnosis System for Hepatic Echinococcosis.

[BibT_eX]

[DOI]

Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020

Contrastive Rendering for Ultrasound Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Style-Invariant Cardiac Image Segmentation with Test-Time Augmentation.

[BibT_eX]

[DOI]

Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

Remove Appearance Shift for Ultrasound Image Segmentation via Fast and Universal Style Transfer.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Synthesis and Edition of Ultrasound Images via Sketch Guided Progressive Growing GANS.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Region Proposal Network with Graph Prior and Iou-Balance Loss for Landmark Detection in 3D Ultrasound.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Towards Automated Semantic Segmentation in Prenatal Volumetric Ultrasound.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2019

Patch-Based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2019

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2019

Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge.

[BibT_eX]

[DOI]

Medical Image Anal., 2019

Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge.

[BibT_eX]

[DOI]

CoRR, 2019

Boundary and Entropy-Driven Adversarial Learning for Fundus Image Segmentation.

[BibT_eX]

[DOI]

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

Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound.

[BibT_eX]

[DOI]

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

FetusMap: Fetal Pose Estimation in 3D Ultrasound.

[BibT_eX]

[DOI]

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

Joint Segmentation and Landmark Localization of Fetal Femur in Ultrasound Volumes.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2018

Combating Uncertainty with Novel Losses for Automatic Left Atrium Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018

Generalizing Deep Models for Ultrasound Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Deep Attentional Features for Prostate Segmentation in Ultrasound.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Densely Deep Supervised Networks with Threshold Loss for Cancer Detection in Automated Breast Ultrasound.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Pyramid Network with Online Hard Example Mining for Accurate Left Atrium Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018

2017

3D deeply supervised network for automated segmentation of volumetric medical images.

[BibT_eX]

[DOI]

Medical Image Anal., 2017

3D U-net with Multi-level Deep Supervision: Fully Automatic Segmentation of Proximal Femur in 3D MR Images.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Towards Automatic Semantic Segmentation in Volumetric Ultrasound.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Hybrid Loss Guided Convolutional Networks for Whole Heart Parsing.

[BibT_eX]

[DOI]

Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017

3D Convolutional Networks for Fully Automatic Fine-Grained Whole Heart Partition.

[BibT_eX]

[DOI]

Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017

Class-Balanced Deep Neural Network for Automatic Ventricular Structure Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017

Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Fine-Grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

3D FractalNet: Dense Volumetric Segmentation for Cardiovascular MRI Volumes.

[BibT_eX]

[DOI]

Proceedings of the Reconstruction, Segmentation, and Analysis of Medical Images, 2016

2015

Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2015

2014

Fetal Abdominal Standard Plane Localization through Representation Learning with Knowledge Transfer.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

Standard plane localization in ultrasound by radial component.

[BibT_eX]

[DOI]

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Personalized modeling of prostate deformation based on elastography for MRI-TRUS registration.

[BibT_eX]

[DOI]

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013

Selective Search and Sequential Detection for Standard Plane Localization in Ultrasound.

[BibT_eX]

[DOI]

Proceedings of the Abdominal Imaging. Computation and Clinical Applications, 2013

Xin Yang

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...