Michael F. McNitt-Gray
Orcid: 0000-0003-3004-4613
According to our database1,
Michael F. McNitt-Gray
authored at least 48 papers
between 1993 and 2023.
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Bibliography
2023
Assistance tools for the evaluation of machine learning algorithm performance: the decision tree-based tools developed by the Medical Imaging and Data Resource Center (MIDRC) Technology Development Project (TDP) 3c effort.
Proceedings of the Medical Imaging 2023: Image Perception, 2023
3D patch-based CNN for fissure segmentation on CT images to quantitatively assess fissure integrity and evaluate emphysema patients for endobronchial valve treatment.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Prediction of recurrence in non-small cell lung cancer (NSCLC) using Gabor and radiomic-feature based models applied to CT image data.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
2022
IEEE Trans. Biomed. Eng., 2022
Proceedings of the Medical Imaging 2022: Image Perception, 2022
2021
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge.
IEEE Trans. Medical Imaging, 2021
Enhancing 4d Cardiac Mri Registration Network With A Motion Prior Learned From Coronary Cta.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2019
Iterative reconstruction for low dose CT using Plug-and-Play alternating direction method of multipliers (ADMM) framework.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
2018
Towards quantitative imaging: stability of fully-automated nodule segmentation across varied dose levels and reconstruction parameters in a low-dose CT screening patient cohort.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
2017
The effects of slice thickness and radiation dose level variations on computer-aided diagnosis (CAD) nodule detection performance in pediatric chest CT scans.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
2016
Robustness-Driven Feature Selection in Classification of Fibrotic Interstitial Lung Disease Patterns in Computed Tomography Using 3D Texture Features.
IEEE Trans. Medical Imaging, 2016
Assessing nodule detection on lung cancer screening CT: the effects of tube current modulation and model observer selection on detectability maps.
Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016
Effects of CT dose and nodule characteristics on lung-nodule detectability in a cohort of 90 national lung screening trial patients.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
2012
Proceedings of the AMIA 2012, 2012
2011
Evaluation of 1D, 2D and 3D nodule size estimation by radiologists for spherical and non-spherical nodules through CT thoracic phantom imaging.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
2008
Effect of Edge-Preserving Adaptive Image Filter on Low-Contrast Detectability in CT Systems: Application of ROC Analysis.
Int. J. Biomed. Imaging, 2008
Automatic segmentation of lung parenchyma based on curvature of ribs using HRCT images in scleroderma studies.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008
2007
Medical Image Anal., 2007
Comput. Medical Imaging Graph., 2007
Multiscale shape features for classification of bronchovascular anatomy in CT using AdaBoost.
Proceedings of the Medical Imaging 2007: Image Processing, 2007
Computer-aided characterization of solitary pulmonary nodules (SPNs) using structural 3D, texture, and functional dynamic contrast features.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
The Lung Image Database Consortium (LIDC): pulmonary nodule measurements, the variation, and the difference between different size metrics.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
Forming a reference standard from LIDC data: impact of reader agreement on reported CAD performance.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
The Lung Image Database Consortium (LIDC): a quality assurance model for the collection of expert-defined truth in lung-nodule-based image analysis studies.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
2006
The influence of CT dose and reconstruction parameters on automated detection of small pulmonary nodules.
Proceedings of the Medical Imaging 2006: Image Processing, 2006
2005
IEEE Trans. Inf. Technol. Biomed., 2005
Solitary pulmonary nodule characterization on CT by use of contrast enhancement maps.
Proceedings of the Medical Imaging 2005: Image Processing, 2005
2004
Computer-aided lung nodule diagnosis using a simple classifier.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004
Lung nodules and beyond: approaches, challenges and opportunities in thoracic CAD.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004
2001
IEEE Trans. Medical Imaging, 2001
Application of Information Technology: Problem-oriented Prefetching for an Integrated Clinical Imaging Workstation.
J. Am. Medical Informatics Assoc., 2001
Computer-aided diagnosis of the solitary pulmonary nodule imaged on CT: 2D, 3D, and contrast enhancement features.
Proceedings of the Medical Imaging 2001: Image Processing, 2001
Proceedings of the Medical Imaging 2001: Image Processing, 2001
2000
Classification of solitary pulmonary nodules (SPNs) imaged on high-resolution CT using contrast enhancement and three-dimensional quantitative image features.
Proceedings of the Medical Imaging 2000: Image Processing, 2000
Knowledge-based segmentation of pediatric kidneys in CT for measuring parenchymal volume.
Proceedings of the Medical Imaging 2000: Image Processing, 2000
1999
Computed radiography dual energy subtraction: Performance evaluation when detecting low-contrast lung nodules in an anthropomorphic phantom.
J. Digit. Imaging, 1999
Proceedings of the AMIA 1999, 1999
1998
Application of image analysis techniques to distinguish benign from malignant solitary pulmonary nodules imaged on CT.
Proceedings of the Medical Imaging 1998: Image Processing, 1998
Proceedings of the Medical Imaging 1998: Image Processing, 1998
Proceedings of the AMIA 1998, 1998
1997
Methods for Segmenting Chest CT Image Data Using an Anatomical Model: Preliminary Results.
IEEE Trans. Medical Imaging, 1997
An extensible knowledge-based architecture for segmenting computed tomography images.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997
1996
Pattern classification approach to characterizing solitary pulmonary nodules imaged on high-resolution computed tomography.
Proceedings of the Medical Imaging 1996: Image Processing, 1996
1995
Feature selection in the pattern classification problem of digital chest radiograph segmentation.
IEEE Trans. Medical Imaging, 1995
1993
An automatic method for enhancing the display of different tissue densities in digital chest radiographs.
J. Digit. Imaging, 1993