Yading Yuan

According to our database, Yading Yuan authored at least 30 papers between 2006 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Decentralized Personalization for Federated Medical Image Segmentation via Gossip Contrastive Mutual Learning.

Jingyun Chen, Yading Yuan

IEEE Trans. Medical Imaging, July, 2025

Federated prediction for scalable and privacy-preserved knowledge-based planning in radiotherapy.

Jingyun Chen, David Horowitz, Yading Yuan

CoRR, May, 2025

CAST: Time-Varying Treatment Effects with Application to Chemotherapy and Radiotherapy on Head and Neck Squamous Cell Carcinoma.

Everest Yang, Ria Vasishtha, Luqman K. Dad, Lisa A. Kachnic, Andrew Hope, Eric Wang, Xiao Wu, Yading Yuan, David J. Brenner, Igor Shuryak

CoRR, May, 2025

Medical Text and Image Reasoning for Radiation Oncology via Large Language Model.

Ashish Beary, Likun Xia, Yading Yuan, Honggang Wang, Ming Ma

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024

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

Jingyun Chen, Martin King, Yading Yuan

CoRR, 2024

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

Jingyun Chen, Yading Yuan

CoRR, 2024

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

Jingyun Chen, Yading Yuan

CoRR, 2024

2023

The Liver Tumor Segmentation Benchmark (LiTS).

Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze

Medical Image Anal., 2023

2022

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

Valentin Oreiller, Vincent Andrearczyk, Mario Jreige, Sarah Boughdad, Hesham Elhalawani, Joël Castelli, Martin Vallières, Simeng Zhu, Juanying Xie, Ying Peng, Andrei Iantsen, Mathieu Hatt, Yading Yuan, Jun Ma, Xiaoping Yang, Chinmay Rao, Suraj Pai, Kanchan Ghimire, Xue Feng, Mohamed A. Naser, Clifton D. Fuller, Fereshteh Yousefirizi, Arman Rahmim, Huai Chen, Lisheng Wang, John O. Prior, Adrien Depeursinge

Medical Image Anal., 2022

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

Saba Adabi, Tzu-Chi Tzeng, Yading Yuan

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.

Yading Yuan, Saba Adabi, Xuefeng Wang

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.

Yading Yuan

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.

Yading Yuan

Proceedings of the Head and Neck Tumor Segmentation - First Challenge, 2020

Automatic Brain Tumor Segmentation with Scale Attention Network.

Yading Yuan

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019

Improving Dermoscopic Image Segmentation With Enhanced Convolutional-Deconvolutional Networks.

Yading Yuan, Yeh-Chi Lo

IEEE J. Biomed. Health Informatics, 2019

A Deep Regression Model for Seed Identification in Prostate Brachytherapy.

Yading Yuan, Ren-Dih Sheu, Luke Fu, Yeh-Chi Lo

CoRR, 2019

A Deep Regression Model for Seed Localization in Prostate Brachytherapy.

Yading Yuan, Ren-Dih Sheu, Luke Fu, Yeh-Chi Lo

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.

Yading Yuan, Ming Chao, Yeh-Chi Lo

IEEE Trans. Medical Imaging, 2017

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

Yading Yuan

CoRR, 2017

Automatic skin lesion segmentation with fully convolutional-deconvolutional networks.

Yading Yuan, Ming Chao, Yeh-Chi Lo

CoRR, 2017

2010

Effect of variable gain on computerized texture analysis on digitalized mammograms.

Hui Li, Maryellen L. Giger, Li Lan, Yading Yuan, Neha Bhooshan, Olufunmilayo I. Olopade

Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, San Diego, 2010

Performance of Triple-Modality CADx on Breast Cancer Diagnostic Classification.

Neha Bhooshan, Maryellen L. Giger, Karen Drukker, Yading Yuan, Hui Li, Stephanie McCann, Gillian Newstead, Charlene A. Sennett

Proceedings of the Digital Mammography, 2010

2009

Breast cancer classification with mammography and DCE-MRI.

Yading Yuan, Maryellen L. Giger, Hui Li, Charlene A. Sennett

Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

Computerized breast parenchymal analysis on DCE-MRI.

Hui Li, Maryellen L. Giger, Yading Yuan, Sanaz A. Jansen, Li Lan, Neha Bhooshan, Gillian M. Newstead

Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

2008

Correlative feature analysis of FFDM images.

Yading Yuan, Maryellen L. Giger, Hui Li, Charlene A. Sennett

Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, San Diego, 2008

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

Yading Yuan, Maryellen L. Giger, Hui Li, Li Lan, Charlene A. Sennett

Proceedings of the Digital Mammography, 2008

Performance of CADx on a Large Clinical Database of FFDM Images.

Hui Li, Maryellen L. Giger, Yading Yuan, Li Lan, Charlene A. Sennett

Proceedings of the Digital Mammography, 2008

2007

Progress in Breast Cadx.

Maryellen L. Giger, Yading Yuan, Hui Li, Karen Drukker, Weijie Chen, Li Lan, Karla Horsch

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.

Yading Yuan, Maryellen L. Giger, Kenji Suzuki, Hui Li, Andrew R. Jamieson

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.

Hui Li, Maryellen L. Giger, Yading Yuan, Li Lan, Kenji Suzuki, Andrew R. Jamieson, Laura Yarusso, Robert M. Nishikawa, Charlene A. Sennett

Proceedings of the Digital Mammography, 2006