Michael McNitt-Gray

发表

Inter-Method Performance Study of Tumor Volumetry Assessment on Computed Tomography Test-Retest Data.

Sam Peterson, Nicholas Petrick, Jan-Martin Kuhnigk, 2015, Academic radiology.

Radiomics of Lung Nodules: A Multi-Institutional Study of Robustness and Agreement of Quantitative Imaging Features

Lubomir M. Hadjiiski, Lin Lu, Yoganand Balagurunathan, 2016, Tomography.

Diagnostic accuracy at several reduced radiation dose levels for CT imaging in the diagnosis of appendicitis

Di Zhang, Michael McNitt-Gray, Maryam Khatonabadi, 2012, Medical Imaging.

Technical Note: FreeCT_wFBP: A robust, efficient, open-source implementation of weighted filtered backprojection for helical, fan-beam CT.

John Hoffman, Michael McNitt-Gray, Frédéric Noo, 2016, Medical physics.

Technical Note: Design and implementation of a high-throughput pipeline for reconstruction and quantitative analysis of CT image data.

John Hoffman, Michael McNitt-Gray, Matthew Brown, 2019, Medical physics.

Ultra‐low‐dose CT image denoising using modified BM3D scheme tailored to data statistics

Tingting Zhao, Michael McNitt-Gray, Dan Ruan, 2018, Medical physics.

Reference Dataset for Benchmarking Fetal Doses Derived from Monte Carlo Simulations of CT Exams.

Ioannis Sechopoulos, Michael McNitt-Gray, Chris Cagnon, 2020, Medical physics.

Estimating Patient Organ Dose with Computed Tomography: A Review of Present Methodology and Required DICOM Information A Joint Report of AAPM Task Group 246 and the European Federation of Organizations for Medical Physics (EFOMP)

Qing Liang, Ehsan Samei, Dianna D. Cody, 2019 .

A Convolutional Neural Network for Ultra-low-dose CT Denoising and Emphysema Screening.

Tingting Zhao, Michael McNitt-Gray, Dan Ruan, 2019, Medical physics.

DICOM structured report to track patient's radiation dose to organs from abdominal CT exam

Frank Meng, Michael McNitt-Gray, Suzie El-Saden, 2011, Medical Imaging.

The effects of variations in parameters and algorithm choices on calculated radiomics feature values: initial investigations and comparisons to feature variability across CT image acquisition conditions

Michael McNitt-Gray, Nastaran Emaminejad, Matthew S. Brown, 2018, Medical Imaging.

Stanford DRO Toolkit: Digital Reference Objects for Standardization of Radiomic Features

Michael McNitt-Gray, Sandy Napel, Sarah A. Mattonen, 2020, Tomography.

Investigating the minimum scan parameters required to generate free-breathing motion artefact-free fast-helical CT.

Michael McNitt-Gray, Daniel A Low, Jun Tan, 2018, The British journal of radiology.

Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge

Lubomir M. Hadjiiski, Gabriel Bernardino, Hichem Frigui, 2021, IEEE Transactions on Medical Imaging.

Coronary calcium measurements: effect of CT scanner type and calcium measure on rescan reproducibility--MESA study.

Michael McNitt-Gray, Jennifer Nelson, R. Detrano, 2005, Radiology.

Estimated cumulative radiation dose from PET/CT in children with malignancies: a 5-year retrospective review

M. Ines Boechat, Michael McNitt-Gray, M. McNitt-Gray, 2009, Pediatric Radiology.

A novel fast helical 4D-CT acquisition technique to generate low-noise sorting artifact-free images at user-selected breathing phases.

David Thomas, Michael McNitt-Gray, Dan Ruan, 2014, International journal of radiation oncology, biology, physics.

Estimating fetal dose from tube current-modulated (TCM) and fixed tube current (FTC) abdominal/pelvis CT examinations.

Michael McNitt-Gray, Chris Cagnon, Erin Angel, 2019, Medical physics.