Yading Yuan

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 17

Top Topics

Regression Model

Tumor Segmentation

Automatically Segmented

Top Venues

Medical Image Anal.

BrainLes@MICCAI (2)

Publications

Jingyun Chen, Yading Yuan
Decentralized Gossip Mutual Learning (GML) for brain tumor segmentation on multi-parametric MRI. CoRR (2024)
Jingyun Chen, Yading Yuan
Decentralized Gossip Mutual Learning (GML) for automatic head and neck tumor segmentation. CoRR (2024)
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
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84 (2023)
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
Head and neck tumor segmentation in PET/CT: The HECKTOR challenge. Medical Image Anal. 77 (2022)
Saba Adabi, Tzu-Chi Tzeng, Yading Yuan
Predicting 3D dose distribution with scale attention network for prostate cancer radiotherapy. Medical Imaging: Image-Guided Procedures (2022)
Yading Yuan
Evaluating Scale Attention Network for Automatic Brain Tumor Segmentation with Large Multi-parametric MRI Database. BrainLes@MICCAI (2) (2021)
Yading Yuan, Saba Adabi, Xuefeng Wang
Automatic Head and Neck Tumor Segmentation and Progression Free Survival Analysis on PET/CT Images. HECKTOR@MICCAI (2021)
Yading Yuan
Automatic Brain Tumor Segmentation with Scale Attention Network. CoRR (2020)
Yading Yuan
Automatic Head and Neck Tumor Segmentation in PET/CT with Scale Attention Network. HECKTOR@MICCAI (2020)
Yading Yuan
Automatic Brain Tumor Segmentation with Scale Attention Network. BrainLes@MICCAI (1) (2020)
Yading Yuan, Ren-Dih Sheu, Luke Fu, Yeh-Chi Lo
A Deep Regression Model for Seed Localization in Prostate Brachytherapy. MICCAI (5) (2019)
Yading Yuan, Yeh-Chi Lo
Improving Dermoscopic Image Segmentation With Enhanced Convolutional-Deconvolutional Networks. IEEE J. Biomed. Health Informatics 23 (2) (2019)
Yading Yuan, Ren-Dih Sheu, Luke Fu, Yeh-Chi Lo
A Deep Regression Model for Seed Identification in Prostate Brachytherapy. CoRR (2019)
Yading Yuan, Yeh-Chi Lo
Improving Dermoscopic Image Segmentation with Enhanced Convolutional-Deconvolutional Networks. CoRR (2017)
Yading Yuan
Hierarchical Convolutional-Deconvolutional Neural Networks for Automatic Liver and Tumor Segmentation. CoRR (2017)
Yading Yuan, Ming Chao, Yeh-Chi Lo
Automatic skin lesion segmentation with fully convolutional-deconvolutional networks. CoRR (2017)
Yading Yuan, Ming Chao, Yeh-Chi Lo
Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks With Jaccard Distance. IEEE Trans. Medical Imaging 36 (9) (2017)
Neha Bhooshan, Maryellen L. Giger, Karen Drukker, Yading Yuan, Hui Li, Stephanie McCann, Gillian Newstead, Charlene A. Sennett
Performance of Triple-Modality CADx on Breast Cancer Diagnostic Classification. Digital Mammography / IWDM (2010)
Hui Li, Maryellen L. Giger, Li Lan, Yading Yuan, Neha Bhooshan, Olufunmilayo I. Olopade
Effect of variable gain on computerized texture analysis on digitalized mammograms. Medical Imaging: Computer-Aided Diagnosis (2010)
Yading Yuan, Maryellen L. Giger, Hui Li, Charlene A. Sennett
Breast cancer classification with mammography and DCE-MRI. Medical Imaging: Computer-Aided Diagnosis (2009)
Hui Li, Maryellen L. Giger, Yading Yuan, Sanaz A. Jansen, Li Lan, Neha Bhooshan, Gillian M. Newstead
Computerized breast parenchymal analysis on DCE-MRI. Medical Imaging: Computer-Aided Diagnosis (2009)
Yading Yuan, Maryellen L. Giger, Hui Li, Charlene A. Sennett
Correlative feature analysis of FFDM images. Medical Imaging: Computer-Aided Diagnosis (2008)
Yading Yuan, Maryellen L. Giger, Hui Li, Li Lan, Charlene A. Sennett
Identifying Corresponding Lesions from CC and MLO Views Via Correlative Feature Analysis. Digital Mammography / IWDM (2008)
Hui Li, Maryellen L. Giger, Yading Yuan, Li Lan, Charlene A. Sennett
Performance of CADx on a Large Clinical Database of FFDM Images. Digital Mammography / IWDM (2008)
Maryellen L. Giger, Yading Yuan, Hui Li, Karen Drukker, Weijie Chen, Li Lan, Karla Horsch
Progress in Breast Cadx. ISBI (2007)
Yading Yuan, Maryellen L. Giger, Kenji Suzuki, Hui Li, Andrew R. Jamieson
A two-stage method for lesion segmentation on digital mammograms. Medical Imaging: Image Processing (2006)
Hui Li, Maryellen L. Giger, Yading Yuan, Li Lan, Kenji Suzuki, Andrew R. Jamieson, Laura Yarusso, Robert M. Nishikawa, Charlene A. Sennett
Comparison of Computerized Image Analyses for Digitized Screen-Film Mammograms and Full-Field Digital Mammography Images. Digital Mammography / IWDM (2006)