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Chintan Parmar

Showing results (11-20 of 32) with videos related to

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Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|April 24, 2019
Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical ImagingYiwen Xu, Ahmed Hosny, Roman Zeleznik, et al.
Plos One|June 9, 2017
Application of the 3D slicer chest imaging platform segmentation algorithm for large lung nodule delineationStephen S F Yip, Chintan Parmar, Daniel Blezek, et al.
Scientific Reports|June 16, 2017
Associations between radiologist-defined semantic and automatically computed radiomic features in non-small cell lung cancerStephen S F Yip, Ying Liu, Chintan Parmar, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|October 1, 2016
Associations Between Somatic Mutations and Metabolic Imaging Phenotypes in Non-Small Cell Lung CancerStephen S F Yip, John Kim, Thibaud P Coroller, et al.
Plos One|January 4, 2017
Associations of Radiomic Data Extracted from Static and Respiratory-Gated CT Scans with Disease Recurrence in Lung Cancer Patients Treated with SBRTElizabeth Huynh, Thibaud P Coroller, Vivek Narayan, et al.
Plos Medicine|December 1, 2018
Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics studyAhmed Hosny, Chintan Parmar, Thibaud P Coroller, et al.
Scientific Reports|August 8, 2015
Radiomic feature clusters and prognostic signatures specific for Lung and Head & Neck cancerChintan Parmar, Ralph T H Leijenaar, Patrick Grossmann, et al.
Elife|July 22, 2017
Defining the biological basis of radiomic phenotypes in lung cancerPatrick Grossmann, Olya Stringfield, Nehme El-Hachem, et al.
Plos One|July 16, 2014
Robust Radiomics feature quantification using semiautomatic volumetric segmentationChintan Parmar, Emmanuel Rios Velazquez, Ralph Leijenaar, et al.
Cancer Research|November 3, 2017
Computational Radiomics System to Decode the Radiographic PhenotypeJoost J M van Griethuysen, Andriy Fedorov, Chintan Parmar, et al.
Pageof 4

Showing results (11-20 of 32) with videos related to

Sort By:
Pageof 4
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|April 24, 2019
Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical ImagingYiwen Xu, Ahmed Hosny, Roman Zeleznik, et al.
Plos One|June 9, 2017
Application of the 3D slicer chest imaging platform segmentation algorithm for large lung nodule delineationStephen S F Yip, Chintan Parmar, Daniel Blezek, et al.
Scientific Reports|June 16, 2017
Associations between radiologist-defined semantic and automatically computed radiomic features in non-small cell lung cancerStephen S F Yip, Ying Liu, Chintan Parmar, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|October 1, 2016
Associations Between Somatic Mutations and Metabolic Imaging Phenotypes in Non-Small Cell Lung CancerStephen S F Yip, John Kim, Thibaud P Coroller, et al.
Plos One|January 4, 2017
Associations of Radiomic Data Extracted from Static and Respiratory-Gated CT Scans with Disease Recurrence in Lung Cancer Patients Treated with SBRTElizabeth Huynh, Thibaud P Coroller, Vivek Narayan, et al.
Plos Medicine|December 1, 2018
Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics studyAhmed Hosny, Chintan Parmar, Thibaud P Coroller, et al.
Scientific Reports|August 8, 2015
Radiomic feature clusters and prognostic signatures specific for Lung and Head & Neck cancerChintan Parmar, Ralph T H Leijenaar, Patrick Grossmann, et al.
Elife|July 22, 2017
Defining the biological basis of radiomic phenotypes in lung cancerPatrick Grossmann, Olya Stringfield, Nehme El-Hachem, et al.
Plos One|July 16, 2014
Robust Radiomics feature quantification using semiautomatic volumetric segmentationChintan Parmar, Emmanuel Rios Velazquez, Ralph Leijenaar, et al.
Cancer Research|November 3, 2017
Computational Radiomics System to Decode the Radiographic PhenotypeJoost J M van Griethuysen, Andriy Fedorov, Chintan Parmar, et al.
Pageof 4