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Yu-chi Hu
Michael Grossberg
Gig Mageras

Showing results (1-10 of 69) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Tumor segmentation with multi-modality image in Conditional Random Field framework with logistic regression modelsYu-chi Hu, Michael Grossberg, Gig Mageras
International Journal of Radiation Oncology, Biology, Physics|December 10, 2013
Predictive treatment management: incorporating a predictive tumor response model into robust prospective treatment planning for non-small cell lung cancerPengpeng Zhang, Ellen Yorke, Yu-Chi Hu, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 15, 2016
Semiautomatic tumor segmentation with multimodal images in a conditional random field frameworkYu-Chi Hu, Michael Grossberg, Gikas Mageras
Journal of Medical Imaging (Bellingham, Wash.)|June 28, 2021
Multi-class medical image segmentation using one-vs-rest graph cuts and majority votingYu-Chi Hu, Gikas Mageras, Michael Grossberg
IEEE Transactions on Medical Imaging|July 25, 2018
Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT ImagesJue Jiang, Yu-Chi Hu, Chia-Ju Liu, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|February 19, 2019
Segmenting lung tumors on longitudinal imaging studies via a patient-specific adaptive convolutional neural networkChuang Wang, Neelam Tyagi, Andreas Rimner, et al.
Medical Physics|August 15, 2019
Toward predicting the evolution of lung tumors during radiotherapy observed on a longitudinal MR imaging study via a deep learning algorithmChuang Wang, Andreas Rimner, Yu-Chi Hu, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 24, 2009
3D-3D tubular organs registration based on bifurcations for the CT imagesJinghao Zhou, Sukmoon Chang, Dimitris Metaxas, et al.
Medical Physics|July 17, 2010
Dose correction strategy for the optimization of volumetric modulated arc therapyPengpeng Zhang, Jie Yang, Margie Hunt, et al.
Physics in Medicine and Biology|January 11, 2017
A geometric atlas to predict lung tumor shrinkage for radiotherapy treatment planningPengpeng Zhang, Andreas Rimner, Ellen Yorke, et al.
Pageof 7

Showing results (1-10 of 69) with videos related to

Sort By:
Pageof 7
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Tumor segmentation with multi-modality image in Conditional Random Field framework with logistic regression modelsYu-chi Hu, Michael Grossberg, Gig Mageras
International Journal of Radiation Oncology, Biology, Physics|December 10, 2013
Predictive treatment management: incorporating a predictive tumor response model into robust prospective treatment planning for non-small cell lung cancerPengpeng Zhang, Ellen Yorke, Yu-Chi Hu, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 15, 2016
Semiautomatic tumor segmentation with multimodal images in a conditional random field frameworkYu-Chi Hu, Michael Grossberg, Gikas Mageras
Journal of Medical Imaging (Bellingham, Wash.)|June 28, 2021
Multi-class medical image segmentation using one-vs-rest graph cuts and majority votingYu-Chi Hu, Gikas Mageras, Michael Grossberg
IEEE Transactions on Medical Imaging|July 25, 2018
Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT ImagesJue Jiang, Yu-Chi Hu, Chia-Ju Liu, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|February 19, 2019
Segmenting lung tumors on longitudinal imaging studies via a patient-specific adaptive convolutional neural networkChuang Wang, Neelam Tyagi, Andreas Rimner, et al.
Medical Physics|August 15, 2019
Toward predicting the evolution of lung tumors during radiotherapy observed on a longitudinal MR imaging study via a deep learning algorithmChuang Wang, Andreas Rimner, Yu-Chi Hu, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 24, 2009
3D-3D tubular organs registration based on bifurcations for the CT imagesJinghao Zhou, Sukmoon Chang, Dimitris Metaxas, et al.
Medical Physics|July 17, 2010
Dose correction strategy for the optimization of volumetric modulated arc therapyPengpeng Zhang, Jie Yang, Margie Hunt, et al.
Physics in Medicine and Biology|January 11, 2017
A geometric atlas to predict lung tumor shrinkage for radiotherapy treatment planningPengpeng Zhang, Andreas Rimner, Ellen Yorke, et al.
Pageof 7