Comparison of Computerized Image Analyses for Digitized Screen-Film Mammograms and Full-Field Digital Mammography Images. - Hui Li 024; Maryellen L. Giger; Yading Yuan; Li Lan; Kenji Suzuki 001; Andrew R. Jamieson; Laura Yarusso; Robert M. Nishikawa; Charlene A. Sennett (Digital Mammography / IWDM, 2006)

A two-stage method for lesion segmentation on digital mammograms. - Yading Yuan; Maryellen L. Giger; Kenji Suzuki 001; Hui Li 024; Andrew R. Jamieson (Image Processing, 2006)

Progress in Breast Cadx. - Maryellen L. Giger; Yading Yuan; Hui Li 024; Karen Drukker; Weijie Chen 007; Li Lan; Karla Horsch (ISBI, 2007)

Performance of CADx on a Large Clinical Database of FFDM Images. - Hui Li 024; Maryellen L. Giger; Yading Yuan; Li Lan; Charlene A. Sennett (Digital Mammography / IWDM, 2008)

Identifying Corresponding Lesions from CC and MLO Views Via Correlative Feature Analysis. - Yading Yuan; Maryellen L. Giger; Hui Li 024; Li Lan; Charlene A. Sennett (Digital Mammography / IWDM, 2008)

Correlative feature analysis of FFDM images. - Yading Yuan; Maryellen L. Giger; Hui Li 024; Charlene A. Sennett (Computer-Aided Diagnosis, 2008)

Computerized breast parenchymal analysis on DCE-MRI. - Hui Li 024; Maryellen L. Giger; Yading Yuan; Sanaz A. Jansen; Li Lan; Neha Bhooshan; Gillian M. Newstead (Computer-Aided Diagnosis, 2009)

Breast cancer classification with mammography and DCE-MRI. - Yading Yuan; Maryellen L. Giger; Hui Li 024; Charlene A. Sennett (Computer-Aided Diagnosis, 2009)

Performance of Triple-Modality CADx on Breast Cancer Diagnostic Classification. - Neha Bhooshan; Maryellen L. Giger; Karen Drukker; Yading Yuan; Hui Li 024; Stephanie McCann; Gillian Newstead; Charlene A. Sennett (Digital Mammography / IWDM, 2010)

Effect of variable gain on computerized texture analysis on digitalized mammograms. - Hui Li 024; Maryellen L. Giger; Li Lan; Yading Yuan; Neha Bhooshan; Olufunmilayo I. Olopade (Computer-Aided Diagnosis, 2010)

Automatic skin lesion segmentation with fully convolutional-deconvolutional networks. - Yading Yuan; Ming Chao; Yeh-Chi Lo (CoRR, 2017)

Hierarchical Convolutional-Deconvolutional Neural Networks for Automatic Liver and Tumor Segmentation. - Yading Yuan (CoRR, 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)

A Deep Regression Model for Seed Localization in Prostate Brachytherapy. - Yading Yuan; Ren-Dih Sheu; Luke Fu; Yeh-Chi Lo (MICCAI (5), 2019)

A Deep Regression Model for Seed Identification in Prostate Brachytherapy. - Yading Yuan; Ren-Dih Sheu; Luke Fu; Yeh-Chi Lo (CoRR, 2019)

Improving Dermoscopic Image Segmentation With Enhanced Convolutional-Deconvolutional Networks. - Yading Yuan; Yeh-Chi Lo (IEEE J. Biomed. Health Informatics, 2019)

Automatic Brain Tumor Segmentation with Scale Attention Network. - Yading Yuan (BrainLes@MICCAI (1), 2020)

Automatic Head and Neck Tumor Segmentation in PET/CT with Scale Attention Network. - Yading Yuan (HECKTOR@MICCAI, 2020)

Evaluating Scale Attention Network for Automatic Brain Tumor Segmentation with Large Multi-parametric MRI Database. - Yading Yuan (BrainLes@MICCAI (2), 2021)

Automatic Head and Neck Tumor Segmentation and Progression Free Survival Analysis on PET/CT Images. - Yading Yuan; Saba Adabi; Xuefeng Wang (HECKTOR@MICCAI, 2021)

Predicting 3D dose distribution with scale attention network for prostate cancer radiotherapy. - Saba Adabi; Tzu-Chi Tzeng; Yading Yuan (Image-Guided Procedures, 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; et al. (Medical Image Anal., 2022)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Hongwei Li 004; Eugene Vorontsov; Avi Ben-Cohen; Georgios Kaissis; Adi Szeskin; Colin Jacobs; Gabriel Efrain Humpire Mamani; Gabriel Chartrand; Fabian Lohöfer; Julian Walter Holch; et al. (Medical Image Anal., 2023)

Decentralized Gossip Mutual Learning (GML) for automatic head and neck tumor segmentation. - Jingyun Chen; Yading Yuan (CoRR, 2024)

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

FedKBP: Federated dose prediction framework for knowledge-based planning in radiation therapy. - Jingyun Chen; Martin King; Yading Yuan (CoRR, 2024)

Medical Text and Image Reasoning for Radiation Oncology via Large Language Model. - Ashish Beary; Likun Xia; Yading Yuan; Honggang Wang; Ming Ma 004 (ISBI, 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, 2025)

Federated prediction for scalable and privacy-preserved knowledge-based planning in radiotherapy. - Jingyun Chen; David Horowitz; Yading Yuan (CoRR, 2025)

Decentralized Personalization for Federated Medical Image Segmentation via Gossip Contrastive Mutual Learning. - Jingyun Chen; Yading Yuan (IEEE Trans. Medical Imaging, 2025)