Yading Yuan

Orcid: 0000-0002-4483-6702

According to our database1, Yading Yuan authored at least 26 papers between 2006 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
FedKBP: Federated dose prediction framework for knowledge-based planning in radiation therapy.
CoRR, 2024

Decentralized Gossip Mutual Learning (GML) for brain tumor segmentation on multi-parametric MRI.
CoRR, 2024

Decentralized Gossip Mutual Learning (GML) for automatic head and neck tumor segmentation.
CoRR, 2024

2023
The Liver Tumor Segmentation Benchmark (LiTS).
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Medical Image Anal., 2023

2022
Head and neck tumor segmentation in PET/CT: The HECKTOR challenge.
Medical Image Anal., 2022

Predicting 3D dose distribution with scale attention network for prostate cancer radiotherapy.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

2021
Automatic Head and Neck Tumor Segmentation and Progression Free Survival Analysis on PET/CT Images.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021

Evaluating Scale Attention Network for Automatic Brain Tumor Segmentation with Large Multi-parametric MRI Database.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020
Automatic Head and Neck Tumor Segmentation in PET/CT with Scale Attention Network.
Proceedings of the Head and Neck Tumor Segmentation - First Challenge, 2020

Automatic Brain Tumor Segmentation with Scale Attention Network.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019
Improving Dermoscopic Image Segmentation With Enhanced Convolutional-Deconvolutional Networks.
IEEE J. Biomed. Health Informatics, 2019

A Deep Regression Model for Seed Identification in Prostate Brachytherapy.
CoRR, 2019

A Deep Regression Model for Seed Localization in Prostate Brachytherapy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2017
Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks With Jaccard Distance.
IEEE Trans. Medical Imaging, 2017

Hierarchical Convolutional-Deconvolutional Neural Networks for Automatic Liver and Tumor Segmentation.
CoRR, 2017

Automatic skin lesion segmentation with fully convolutional-deconvolutional networks.
CoRR, 2017

2010
Effect of variable gain on computerized texture analysis on digitalized mammograms.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, San Diego, 2010

Performance of Triple-Modality CADx on Breast Cancer Diagnostic Classification.
Proceedings of the Digital Mammography, 2010

2009
Breast cancer classification with mammography and DCE-MRI.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

Computerized breast parenchymal analysis on DCE-MRI.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

2008
Correlative feature analysis of FFDM images.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, San Diego, 2008

Identifying Corresponding Lesions from CC and MLO Views Via Correlative Feature Analysis.
Proceedings of the Digital Mammography, 2008

Performance of CADx on a Large Clinical Database of FFDM Images.
Proceedings of the Digital Mammography, 2008

2007
Progress in Breast Cadx.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2006
A two-stage method for lesion segmentation on digital mammograms.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

Comparison of Computerized Image Analyses for Digitized Screen-Film Mammograms and Full-Field Digital Mammography Images.
Proceedings of the Digital Mammography, 2006


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