Yading Yuan

35 papers A 1B 2Journal 16Unranked 16
YearRankTypeTitle / Venue / Authors
2025 J jnl
CAST: Time-Varying Treatment Effects with Application to Chemotherapy and Radiotherapy on Head and Neck Squamous Cell Carcinoma.
CoRR
Everest Yang, Ria Vasishtha, Luqman K. Dad, Lisa A. Kachnic, Andrew Hope, Eric Wang, Xiao Wu, Yading Yuan, David J. Brenner, Igor Shuryak
2025 J jnl
Decentralized Personalization for Federated Medical Image Segmentation via Gossip Contrastive Mutual Learning.
CoRR
Jingyun Chen, Yading Yuan
2025 J jnl
Decentralized Personalization for Federated Medical Image Segmentation via Gossip Contrastive Mutual Learning.
IEEE Trans. Medical Imaging
Jingyun Chen, Yading Yuan
2025 J jnl
Federated prediction for scalable and privacy-preserved knowledge-based planning in radiotherapy.
CoRR
Jingyun Chen, David Horowitz, Yading Yuan
2025 — conf
Medical Text and Image Reasoning for Radiation Oncology via Large Language Model.
ISBI
Ashish Beary, Likun Xia, Yading Yuan, Honggang Wang, Ming Ma
2025 B conf
SigmaCam: Exact Decision Boundary Extraction for DNNs with Smooth Nonlinearities.
IJCNN
Nikkat Afrin, Mohammadzubair Khan, Likun Xia, Yading Yuan, Ming Ma
2025 A conf
SparseMambaVision: Sparse-Attention Based Mamba-Transformer Framework for Prostate Segmentation.
ECAI
Wangyu Feng, Likun Xia, Yading Yuan, Ming Ma
2024 J jnl
Decentralized Gossip Mutual Learning (GML) for automatic head and neck tumor segmentation.
CoRR
Jingyun Chen, Yading Yuan
2024 J jnl
Decentralized Gossip Mutual Learning (GML) for brain tumor segmentation on multi-parametric MRI.
CoRR
Jingyun Chen, Yading Yuan
2024 J jnl
FedKBP: Federated dose prediction framework for knowledge-based planning in radiation therapy.
CoRR
Jingyun Chen, Martin King, Yading Yuan
2023 J jnl
The Liver Tumor Segmentation Benchmark (LiTS).
Medical Image Anal.
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
2022 J jnl
Head and neck tumor segmentation in PET/CT: The HECKTOR challenge.
Medical Image Anal.
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
2022 — conf
Predicting 3D dose distribution with scale attention network for prostate cancer radiotherapy.
Image-Guided Procedures
Saba Adabi, Tzu-Chi Tzeng, Yading Yuan
2021 — conf
Automatic Head and Neck Tumor Segmentation and Progression Free Survival Analysis on PET/CT Images.
HECKTOR@MICCAI
Yading Yuan, Saba Adabi, Xuefeng Wang
2021 — conf
Evaluating Scale Attention Network for Automatic Brain Tumor Segmentation with Large Multi-parametric MRI Database.
BrainLes@MICCAI (2)
Yading Yuan
2020 — conf
Automatic Brain Tumor Segmentation with Scale Attention Network.
BrainLes@MICCAI (1)
Yading Yuan
2020 J jnl
Automatic Brain Tumor Segmentation with Scale Attention Network.
CoRR
Yading Yuan
2020 — conf
Automatic Head and Neck Tumor Segmentation in PET/CT with Scale Attention Network.
HECKTOR@MICCAI
Yading Yuan
2019 J jnl
A Deep Regression Model for Seed Identification in Prostate Brachytherapy.
CoRR
Yading Yuan, Ren-Dih Sheu, Luke Fu, Yeh-Chi Lo
2019 — conf
A Deep Regression Model for Seed Localization in Prostate Brachytherapy.
MICCAI (5)
Yading Yuan, Ren-Dih Sheu, Luke Fu, Yeh-Chi Lo
2019 J jnl
Improving Dermoscopic Image Segmentation With Enhanced Convolutional-Deconvolutional Networks.
IEEE J. Biomed. Health Informatics
Yading Yuan, Yeh-Chi Lo
2017 J jnl
Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks With Jaccard Distance.
IEEE Trans. Medical Imaging
Yading Yuan, Ming Chao, Yeh-Chi Lo
2017 J jnl
Automatic skin lesion segmentation with fully convolutional-deconvolutional networks.
CoRR
Yading Yuan, Ming Chao, Yeh-Chi Lo
2017 J jnl
Hierarchical Convolutional-Deconvolutional Neural Networks for Automatic Liver and Tumor Segmentation.
CoRR
Yading Yuan
2017 J jnl
Improving Dermoscopic Image Segmentation with Enhanced Convolutional-Deconvolutional Networks.
CoRR
Yading Yuan, Yeh-Chi Lo
2010 — conf
Effect of variable gain on computerized texture analysis on digitalized mammograms.
Computer-Aided Diagnosis
Hui Li, Maryellen L. Giger, Li Lan, Yading Yuan, Neha Bhooshan, Olufunmilayo I. Olopade
2010 — conf
Performance of Triple-Modality CADx on Breast Cancer Diagnostic Classification.
Digital Mammography / IWDM
Neha Bhooshan, Maryellen L. Giger, Karen Drukker, Yading Yuan, Hui Li, Stephanie McCann, Gillian Newstead, Charlene A. Sennett
2009 — conf
Breast cancer classification with mammography and DCE-MRI.
Computer-Aided Diagnosis
Yading Yuan, Maryellen L. Giger, Hui Li, Charlene A. Sennett
2009 — conf
Computerized breast parenchymal analysis on DCE-MRI.
Computer-Aided Diagnosis
Hui Li, Maryellen L. Giger, Yading Yuan, Sanaz A. Jansen, Li Lan, Neha Bhooshan, Gillian M. Newstead
2008 — conf
Correlative feature analysis of FFDM images.
Computer-Aided Diagnosis
Yading Yuan, Maryellen L. Giger, Hui Li, Charlene A. Sennett
2008 — conf
Identifying Corresponding Lesions from CC and MLO Views Via Correlative Feature Analysis.
Digital Mammography / IWDM
Yading Yuan, Maryellen L. Giger, Hui Li, Li Lan, Charlene A. Sennett
2008 — conf
Performance of CADx on a Large Clinical Database of FFDM Images.
Digital Mammography / IWDM
Hui Li, Maryellen L. Giger, Yading Yuan, Li Lan, Charlene A. Sennett
2007 — conf
Progress in Breast Cadx.
ISBI
Maryellen L. Giger, Yading Yuan, Hui Li, Karen Drukker, Weijie Chen, Li Lan, Karla Horsch
2006 B conf
A two-stage method for lesion segmentation on digital mammograms.
Image Processing
Yading Yuan, Maryellen L. Giger, Kenji Suzuki, Hui Li, Andrew R. Jamieson
2006 — conf
Comparison of Computerized Image Analyses for Digitized Screen-Film Mammograms and Full-Field Digital Mammography Images.
Digital Mammography / IWDM
Hui Li, Maryellen L. Giger, Yading Yuan, Li Lan, Kenji Suzuki, Andrew R. Jamieson, Laura Yarusso, Robert M. Nishikawa, Charlene A. Sennett