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Binsheng Zhao

Showing results (1-10 of 137) with videos related to

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Frontiers in Oncology|April 15, 2021
Understanding Sources of Variation to Improve the Reproducibility of RadiomicsBinsheng Zhao
Medical Physics|November 2, 2015
Semiautomatic segmentation of liver metastases on volumetric CT imagesJiayong Yan, Lawrence H Schwartz, Binsheng Zhao
Medical Physics|July 30, 2019
Automatic liver segmentation by integrating fully convolutional networks into active contour modelsXiaotao Guo, Lawrence H Schwartz, Binsheng Zhao
Medical Physics|April 6, 2013
Segmentation of lung lesions on CT scans using watershed, active contours, and Markov random fieldYongqiang Tan, Lawrence H Schwartz, Binsheng Zhao
Tomography (Ann Arbor, Mich.)|July 26, 2018
A Response Assessment Platform for Development and Validation of Imaging Biomarkers in OncologyHao Yang, Lawrence H Schwartz, Binsheng Zhao
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|January 24, 2009
Imaging surrogates of tumor response to therapy: anatomic and functional biomarkersBinsheng Zhao, Lawrence H Schwartz, Steve M Larson
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|May 15, 2013
The imaging viewpoint: how imaging affects determination of progression-free survivalDaniel Carl Sullivan, Lawrence H Schwartz, Binsheng Zhao
Medical Physics|September 3, 2015
Hybrid detection of lung nodules on CT scan imagesLin Lu, Yongqiang Tan, Lawrence H Schwartz, et al.
Tomography (Ann Arbor, Mich.)|March 12, 2019
A Web-Based Response-Assessment System for Development and Validation of Imaging Biomarkers in OncologyHao Yang, Xiaotao Guo, Lawrence H Schwartz, et al.
Nature Communications|November 18, 2021
Deep learning for the prediction of early on-treatment response in metastatic colorectal cancer from serial medical imagingLin Lu, Laurent Dercle, Binsheng Zhao, et al.
Pageof 14

Showing results (1-10 of 137) with videos related to

Sort By:
Pageof 14
Frontiers in Oncology|April 15, 2021
Understanding Sources of Variation to Improve the Reproducibility of RadiomicsBinsheng Zhao
Medical Physics|November 2, 2015
Semiautomatic segmentation of liver metastases on volumetric CT imagesJiayong Yan, Lawrence H Schwartz, Binsheng Zhao
Medical Physics|July 30, 2019
Automatic liver segmentation by integrating fully convolutional networks into active contour modelsXiaotao Guo, Lawrence H Schwartz, Binsheng Zhao
Medical Physics|April 6, 2013
Segmentation of lung lesions on CT scans using watershed, active contours, and Markov random fieldYongqiang Tan, Lawrence H Schwartz, Binsheng Zhao
Tomography (Ann Arbor, Mich.)|July 26, 2018
A Response Assessment Platform for Development and Validation of Imaging Biomarkers in OncologyHao Yang, Lawrence H Schwartz, Binsheng Zhao
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|January 24, 2009
Imaging surrogates of tumor response to therapy: anatomic and functional biomarkersBinsheng Zhao, Lawrence H Schwartz, Steve M Larson
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|May 15, 2013
The imaging viewpoint: how imaging affects determination of progression-free survivalDaniel Carl Sullivan, Lawrence H Schwartz, Binsheng Zhao
Medical Physics|September 3, 2015
Hybrid detection of lung nodules on CT scan imagesLin Lu, Yongqiang Tan, Lawrence H Schwartz, et al.
Tomography (Ann Arbor, Mich.)|March 12, 2019
A Web-Based Response-Assessment System for Development and Validation of Imaging Biomarkers in OncologyHao Yang, Xiaotao Guo, Lawrence H Schwartz, et al.
Nature Communications|November 18, 2021
Deep learning for the prediction of early on-treatment response in metastatic colorectal cancer from serial medical imagingLin Lu, Laurent Dercle, Binsheng Zhao, et al.
Pageof 14