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Michael McNitt-Gray

Showing results (1-10 of 52) with videos related to

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Medical Physics|December 11, 2013
Development and validation of a measurement-based source model for kilovoltage cone-beam CT Monte Carlo dosimetry simulationsKyle McMillan, Michael McNitt-Gray, Dan Ruan
Medical Physics|June 21, 2019
A convolutional neural network for ultra-low-dose CT denoising and emphysema screeningTingting Zhao, Michael McNitt-Gray, Dan Ruan
Medical Physics|March 4, 2016
Technical Note: FreeCT_wFBP: A robust, efficient, open-source implementation of weighted filtered backprojection for helical, fan-beam CTJohn Hoffman, Stefano Young, Frédéric Noo, et al.
Medical Physics|October 24, 2018
Ultra-low-dose CT image denoising using modified BM3D scheme tailored to data statisticsTingting Zhao, John Hoffman, Michael McNitt-Gray, et al.
Tomography (Ann Arbor, Mich.)|June 18, 2020
Stanford DRO Toolkit: Digital Reference Objects for Standardization of Radiomic FeaturesAkshay Jaggi, Sarah A Mattonen, Michael McNitt-Gray, et al.
AJR. American Journal of Roentgenology|October 12, 2016
Patient Size-Specific Analysis of Dose Indexes From CT Lung Cancer ScreeningKeisuke Fujii, Kyle McMillan, Maryam Bostani, et al.
Medical Physics|March 21, 2019
Estimating fetal dose from tube current-modulated (TCM) and fixed tube current (FTC) abdominal/pelvis CT examinationsAnthony J Hardy, Erin Angel, Maryam Bostani, et al.
Medical Physics|May 24, 2023
Target-oriented deep learning-based image registration with individualized test-time adaptationYudi Sang, Michael McNitt-Gray, Yingli Yang, et al.
Medical Physics|August 10, 2019
The effects of physics-based data augmentation on the generalizability of deep neural networks: Demonstration on nodule false-positive reductionAkinyinka O Omigbodun, Frederic Noo, Michael McNitt-Gray, et al.
Medical Physics|June 3, 2018
Technical Note: FreeCT_ICD: An open-source implementation of a model-based iterative reconstruction method using coordinate descent optimization for CT imaging investigationsJohn M Hoffman, Frédéric Noo, Stefano Young, et al.
Pageof 6

Showing results (1-10 of 52) with videos related to

Sort By:
Pageof 6
Medical Physics|December 11, 2013
Development and validation of a measurement-based source model for kilovoltage cone-beam CT Monte Carlo dosimetry simulationsKyle McMillan, Michael McNitt-Gray, Dan Ruan
Medical Physics|June 21, 2019
A convolutional neural network for ultra-low-dose CT denoising and emphysema screeningTingting Zhao, Michael McNitt-Gray, Dan Ruan
Medical Physics|March 4, 2016
Technical Note: FreeCT_wFBP: A robust, efficient, open-source implementation of weighted filtered backprojection for helical, fan-beam CTJohn Hoffman, Stefano Young, Frédéric Noo, et al.
Medical Physics|October 24, 2018
Ultra-low-dose CT image denoising using modified BM3D scheme tailored to data statisticsTingting Zhao, John Hoffman, Michael McNitt-Gray, et al.
Tomography (Ann Arbor, Mich.)|June 18, 2020
Stanford DRO Toolkit: Digital Reference Objects for Standardization of Radiomic FeaturesAkshay Jaggi, Sarah A Mattonen, Michael McNitt-Gray, et al.
AJR. American Journal of Roentgenology|October 12, 2016
Patient Size-Specific Analysis of Dose Indexes From CT Lung Cancer ScreeningKeisuke Fujii, Kyle McMillan, Maryam Bostani, et al.
Medical Physics|March 21, 2019
Estimating fetal dose from tube current-modulated (TCM) and fixed tube current (FTC) abdominal/pelvis CT examinationsAnthony J Hardy, Erin Angel, Maryam Bostani, et al.
Medical Physics|May 24, 2023
Target-oriented deep learning-based image registration with individualized test-time adaptationYudi Sang, Michael McNitt-Gray, Yingli Yang, et al.
Medical Physics|August 10, 2019
The effects of physics-based data augmentation on the generalizability of deep neural networks: Demonstration on nodule false-positive reductionAkinyinka O Omigbodun, Frederic Noo, Michael McNitt-Gray, et al.
Medical Physics|June 3, 2018
Technical Note: FreeCT_ICD: An open-source implementation of a model-based iterative reconstruction method using coordinate descent optimization for CT imaging investigationsJohn M Hoffman, Frédéric Noo, Stefano Young, et al.
Pageof 6