Yading Yuan

发表

Exploring nonlinear feature space dimension reduction and data representation in breast Cadx with Laplacian eigenmaps and t-SNE.

Andrew R. Jamieson, M. Giger, K. Drukker, 2009, Medical physics.

Multimodality computer-aided breast cancer diagnosis with FFDM and DCE-MRI.

M. Giger, Hui Li, Yading Yuan, 2010, Academic radiology.

Federated learning enables big data for rare cancer boundary detection

Bjoern H Menze, Amber L. Simpson, James F. Gimpel, 2022, Nature Communications.

Award Number: W81XWH-06-1-0726 TITLE: Correlative Feature Analysis for Multimodality Breast CAD

Yading Yuan, 2007 .

TU‐D‐330A‐03: Comparison of Image Segmentation Algorithms On Digitized Mammograms and FFDM Images for CAD

Andrew R. Jamieson, M. Giger, Hui Li, 2006 .

Predicting 3D dose distribution with scale attention network for prostate cancer radiotherapy

Yading Yuan, S. Adabi, Tzu-Chi Tzeng, 2022, Medical Imaging.

Federated learning enables big data for rare cancer boundary detection

Bjoern H Menze, Amber L. Simpson, James F. Gimpel, 2022, Nature Communications.

Feasibility study of in vivo MRI based dosimetric verification of proton end-of-range for liver cancer patients.

Joao Seco, Christian Richter, Yading Yuan, 2013, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Computerized three-class classification of MRI-based prognostic markers for breast cancer

Maryellen Giger, Darrin C. Edwards, Neha Bhooshan, 2011, Physics in medicine and biology.

Head and neck tumor segmentation in PET/CT: The HECKTOR challenge

John O. Prior, M. Hatt, A. Rahmim, 2021, Medical Image Anal..

Automatic Head and Neck Tumor Segmentation and Progression Free Survival Analysis on PET/CT Images

Yading Yuan, S. Adabi, Xuefeng Wang, 2021, HECKTOR@MICCAI.

Automatic Head and Neck Tumor Segmentation in PET/CT with Scale Attention Network

Yading Yuan, Yading Yuan, 2020, medRxiv.

TU‐A‐BRC‐09: Feasibility Study of MRI in Assessing in Vivo Proton End‐Of‐Range for Liver Cancer

T. Bortfeld, Yading Yuan, J. Seco, 2011 .

Hierarchical Convolutional-Deconvolutional Neural Networks for Automatic Liver and Tumor Segmentation pdf

Yading Yuan, Yading Yuan, 2017, ArXiv.

Improving Dermoscopic Image Segmentation With Enhanced Convolutional-Deconvolutional Networks pdf

Ming Chao, Yading Yuan, Yeh-Chi Lo, 2017, IEEE Journal of Biomedical and Health Informatics.

Evaluation of computer-aided diagnosis on a large clinical full-field digital mammographic dataset.

Li Lan, Yading Yuan, Andrew R. Jamieson, 2008, Academic radiology.

Performance of CADx on a Large Clinical Database of FFDM Images

Maryellen L. Giger, Hui Li, Li Lan, 2008, Digital Mammography / IWDM.

Improving Dermoscopic Image Segmentation With Enhanced Convolutional-Deconvolutional Networks

Yading Yuan, Yeh-Chi Lo, Yading Yuan, 2017, IEEE Journal of Biomedical and Health Informatics.

Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks With Jaccard Distance

Yading Yuan, Ming Chao, Yeh-Chi Lo, 2017, IEEE Transactions on Medical Imaging.

A dual-stage method for lesion segmentation on digital mammograms.

Kenji Suzuki, Yading Yuan, Hui Li, 2007, Medical physics.

Grid-Enabled Quantitative Analysis of Breast Cancer

Maryellen L. Giger, Karen Drukker, Hui Li, 2009 .

Robust breathing signal extraction from cone beam CT projections based on adaptive and global optimization techniques

Ming Chao, Tianfang Li, Jie Wei, 2016, Physics in medicine and biology.

Correlative feature analysis on FFDM.

Yading Yuan, Hui Li, Maryellen L Giger, 2008, Medical physics.

Tracking fuzzy borders using geodesic curves with application to liver segmentation on planning CT.

Ming Chao, Yading Yuan, Ren-Dih Sheu, 2015, Medical physics.

Identifying Corresponding Lesions from CC and MLO Views Via Correlative Feature Analysis

Maryellen L. Giger, Hui Li, Li Lan, 2008, Digital Mammography / IWDM.

A two-stage method for lesion segmentation on digital mammograms

Maryellen L. Giger, Kenji Suzuki, Hui Li, 2006, SPIE Medical Imaging.

Prediction-oriented prognostic biomarker discovery with survival machine learning methods

Yading Yuan, Xuefeng Wang, B. Cao, 2022, NAR genomics and bioinformatics.

Potential of computer‐aided diagnosis of high spectral and spatial resolution (HiSS) MRI in the classification of breast lesions

Li Lan, Maryellen Giger, Neha Bhooshan, 2014, Journal of magnetic resonance imaging : JMRI.

A Feasibility Study of Tumor Motion Estimate With Regional Deformable Registration Method for 4-Dimensional Radiation Therapy of Lung Cancer

Ming Chao, Yading Yuan, Ren-Dih Sheu, 2016, Technology in cancer research & treatment.

Computed tomography-based treatment planning for high-dose-rate brachytherapy using the tandem and ring applicator: influence of applicator choice on organ dose and inter-fraction adaptive planning

Yading Yuan, V. Dumane, Vishal Gupta, 2017, Journal of contemporary brachytherapy.

A Deep Regression Model for Seed Identification in Prostate Brachytherapy

Yading Yuan, Y. Lo, R. Sheu, 2019, ArXiv.

A Deep Regression Model for Seed Localization in Prostate Brachytherapy pdf

Yading Yuan, Ren-Dih Sheu, Luke Fu, 2019, MICCAI.

Automatic Brain Tumor Segmentation with Scale Attention Network

Yading Yuan, 2020, BrainLes@MICCAI.