An automatic method for enhancing the display of different tissue densities in digital chest radiographs. - Michael F. McNitt-Gray; Ricky K. Taira; Sandy L. Johnson; Mahmood Razavi (J. Digit. Imaging, 1993)

Feature selection in the pattern classification problem of digital chest radiograph segmentation. - Michael F. McNitt-Gray; H. K. Huang; James W. Sayre (IEEE Trans. Medical Imaging, 1995)

Pattern classification approach to characterizing solitary pulmonary nodules imaged on high-resolution computed tomography. - Michael F. McNitt-Gray; Eric M. Hart; Jonathan G. Goldin; Chih-Wei Yao; Denise R. Aberle (Image Processing, 1996)

An extensible knowledge-based architecture for segmenting computed tomography images. - Matthew S. Brown; Michael F. McNitt-Gray; Jonathan G. Goldin; Denise R. Aberle (ICIP (3), 1997)

Methods for Segmenting Chest CT Image Data Using an Anatomical Model: Preliminary Results. - Matthew S. Brown; Michael F. McNitt-Gray; Nicholas J. Mankovich; Jonathan G. Goldin; John Hiller; Laurence S. Wilson; Denise R. Aberle (IEEE Trans. Medical Imaging, 1997)

The evolution of an integrated timeline for oncology patient healthcare. - Alex A. T. Bui; Denise R. Aberle; Michael F. McNitt-Gray; Alfonso F. Cardenas; Jonathan G. Goldin (AMIA, 1998)

Extensible knowledge-based architecture for segmenting CT data. - Matthew S. Brown; Michael F. McNitt-Gray; Jonathan G. Goldin; Denise R. Aberle (Image Processing, 1998)

Application of image analysis techniques to distinguish benign from malignant solitary pulmonary nodules imaged on CT. - Michael F. McNitt-Gray; Eric M. Hart; Nathaniel Wyckoff; James W. Sayre; Jonathan G. Goldin; Denise R. Aberle (Image Processing, 1998)

TimeLine: A Multimedia, Problem-Centric Visualization of Patient Records. - Alex A. T. Bui; Denise R. Aberle; Jonathan G. Goldin; Michael F. McNitt-Gray; Alfonso F. Cardenas; Eric Kleerup; Osman Ratib (AMIA, 1999)

Computed radiography dual energy subtraction: Performance evaluation when detecting low-contrast lung nodules in an anthropomorphic phantom. - Carolyn Kimme-Smith; Donna Lynn Davis; Michael F. McNitt-Gray; Jonathan G. Goldin; Eric M. Hart; Poonam Batra; Timothy D. Johnson (J. Digit. Imaging, 1999)

Knowledge-based segmentation of pediatric kidneys in CT for measuring parenchymal volume. - Matthew S. Brown; Waldo C. Feng; Theodore R. Hall; Michael F. McNitt-Gray; Bernard M. Churchill (Image Processing, 2000)

Classification of solitary pulmonary nodules (SPNs) imaged on high-resolution CT using contrast enhancement and three-dimensional quantitative image features. - Nathaniel Wyckoff; Michael F. McNitt-Gray; Jonathan G. Goldin; Robert D. Suh; James W. Sayre; Denise R. Aberle (Image Processing, 2000)

Patient-specific models for lung nodule detection and surveillance in CT images. - Matthew S. Brown; Michael F. McNitt-Gray; Jonathan G. Goldin; Robert D. Suh; Denise R. Aberle (Image Processing, 2001)

Computer-aided diagnosis of the solitary pulmonary nodule imaged on CT: 2D, 3D, and contrast enhancement features. - Michael F. McNitt-Gray; Nathaniel Wyckoff; Jonathan G. Goldin; Robert D. Suh; James W. Sayre; Denise R. Aberle (Image Processing, 2001)

Application of Information Technology: Problem-oriented Prefetching for an Integrated Clinical Imaging Workstation. - Alex A. T. Bui; Michael F. McNitt-Gray; Jonathan G. Goldin; Alfonso F. Cardenas; Denise R. Aberle (J. Am. Medical Informatics Assoc., 2001)

Patient-Specific Models for Lung Nodule Detection and Survellience in CT Images. - Matthew S. Brown; Michael F. McNitt-Gray; Jonathan G. Goldin; Robert D. Suh; James W. Sayre; Denise R. Aberle (IEEE Trans. Medical Imaging, 2001)

Lung nodules and beyond: approaches, challenges and opportunities in thoracic CAD. - Michael F. McNitt-Gray (CARS, 2004)

Computer-aided lung nodule diagnosis using a simple classifier. - Sumit K. Shah; Michael F. McNitt-Gray; Sarah Rogers; Jonathan G. Goldin; Denise R. Aberle; Robert D. Suh; Kheshini R. DeZoysa; Matthew S. Brown (CARS, 2004)

Solitary pulmonary nodule characterization on CT by use of contrast enhancement maps. - Sumit K. Shah; Michael F. McNitt-Gray; Iva Petkovska; Hyun Jun Kim; Kheshini R. DeZoysa; Jonathan G. Goldin; Robert D. Suh; Denise R. Aberle (Image Processing, 2005)

Database design and implementation for quantitative image analysis research. - Matthew S. Brown; Sumit K. Shah; Richard C. Pais; Yeng-Zhong Lee; Michael F. McNitt-Gray; Jonathan G. Goldin; Alfonso F. Cardenas; Denise R. Aberle (IEEE Trans. Inf. Technol. Biomed., 2005)

The influence of CT dose and reconstruction parameters on automated detection of small pulmonary nodules. - Robert A. Ochs; Erin Angel; Kirsten L. Boedeker; Iva Petkovska; Christoph Panknin; Jonathan G. Goldin; Denise R. Aberle; Michael F. McNitt-Gray; Matthew S. Brown (Image Processing, 2006)

The Lung Image Database Consortium (LIDC): a quality assurance model for the collection of expert-defined truth in lung-nodule-based image analysis studies. - Samuel G. Armato; Rachael Y. Roberts; Geoffrey McLennan; Michael F. McNitt-Gray; David F. Yankelevitz; Ella A. Kazerooni; Edwin J. R. van Beek; Heber MacMahon; Denise R. Aberle; Charles R. Meyer; Anthony P. Reeves; Claudia I. Henschke; et al. (Computer-Aided Diagnosis, 2007)

The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation. - Michael F. McNitt-Gray; Samuel G. Armato; Charles R. Meyer; Anthony P. Reeves; Geoffrey McLennan; Richard C. Pais; J. Freymann; Matthew S. Brown; Roger M. Engelmann; Peyton H. Bland; G. E. Laderach; C. Piker; et al. (Computer-Aided Diagnosis, 2007)

Forming a reference standard from LIDC data: impact of reader agreement on reported CAD performance. - Robert A. Ochs; Hyun J. Kim; Erin Angel; Christoph Panknin; Michael F. McNitt-Gray; Matthew S. Brown (Computer-Aided Diagnosis, 2007)

The Lung Image Database Consortium (LIDC): pulmonary nodule measurements, the variation, and the difference between different size metrics. - Anthony P. Reeves; Alberto M. Biancardi; Tatiyana V. Apanasovich; Charles R. Meyer; Heber MacMahon; Edwin J. R. van Beek; Ella A. Kazerooni; David F. Yankelevitz; Michael F. McNitt-Gray; Geoffrey McLennan; Samuel G. Armato; Denise R. Aberle; et al. (Computer-Aided Diagnosis, 2007)

Differentiating solitary pulmonary nodules (SPNs) with 3D shape features. - Yang Wang; Michael F. McNitt-Gray; Matthew S. Brown; Jonathan G. Goldin; Haiming Zhao; Denise R. Aberle (Computer-Aided Diagnosis, 2007)

Computer-aided characterization of solitary pulmonary nodules (SPNs) using structural 3D, texture, and functional dynamic contrast features. - Yang Wang; Michael F. McNitt-Gray; Sumit K. Shah; Jonathan G. Goldin; Matthew S. Brown; Denise R. Aberle (Computer-Aided Diagnosis, 2007)

Multiscale shape features for classification of bronchovascular anatomy in CT using AdaBoost. - Robert A. Ochs; Jonathan G. Goldin; Fereidoun Abtin; Hyun J. Kim; Kathleen Brown; Poonam Batra; Donald Roback; Michael F. McNitt-Gray; Matthew S. Brown (Image Processing, 2007)

CAD in clinical trials: Current role and architectural requirements. - Matthew S. Brown; Michael F. McNitt-Gray; Richard C. Pais; Sumit K. Shah; Peiyuan Qing; Irene Da Costa; Denise R. Aberle; Jonathan G. Goldin (Comput. Medical Imaging Graph., 2007)

Automated classification of lung bronchovascular anatomy in CT using AdaBoost. - Robert A. Ochs; Jonathan G. Goldin; Fereidoun Abtin; Hyun J. Kim; Kathleen Brown; Poonam Batra; Donald Roback; Michael F. McNitt-Gray; Matthew S. Brown (Medical Image Anal., 2007)

Automatic segmentation of lung parenchyma based on curvature of ribs using HRCT images in scleroderma studies. - Mithun N. Prasad; Matthew S. Brown; Shana Ahmad; Fereidoun Abtin; J. Allen; Irene Da Costa; Hyun J. Kim; Michael F. McNitt-Gray; Jonathan G. Goldin (Computer-Aided Diagnosis, 2008)

Effect of Edge-Preserving Adaptive Image Filter on Low-Contrast Detectability in CT Systems: Application of ROC Analysis. - Miwa Okumura; Takamasa Ota; Kazuhisa Kainuma; James W. Sayre; Michael F. McNitt-Gray; Kazuhiro Katada (Int. J. Biomed. Imaging, 2008)

Evaluation of 1D, 2D and 3D nodule size estimation by radiologists for spherical and non-spherical nodules through CT thoracic phantom imaging. - Nicholas Petrick; Hyun J. Grace Kim; David A. Clunie; Kristin Borradaile; Robert Ford; Rongping Zeng; Marios A. Gavrielides; Michael F. McNitt-Gray; Charles Fenimore; Z. Q. John Lu; Binsheng Zhao; Andrew J. Buckler (Computer-Aided Diagnosis, 2011)

Tracking Veteran Patient's Organ Dose from Abdominal CT Exams. - Craig A. Morioka; Michael F. McNitt-Gray; Berenji Gholam; Kyle Brubaker; Adam Turner; Suzie El-Saden (AMIA, 2012)

Effects of CT dose and nodule characteristics on lung-nodule detectability in a cohort of 90 national lung screening trial patients. - Stefano Young; Pechin Lo; John M. Hoffman; Hyun J. Grace Kim; Matthew S. Brown; Michael F. McNitt-Gray (Computer-Aided Diagnosis, 2016)

Assessing nodule detection on lung cancer screening CT: the effects of tube current modulation and model observer selection on detectability maps. - John M. Hoffman; Frédéric Noo; K. McMillan; S. Young; Michael F. McNitt-Gray; Eloisa Rodriguez-Mena (Image Perception, Observer Performance, and Technology Assessment, 2016)

Robustness-Driven Feature Selection in Classification of Fibrotic Interstitial Lung Disease Patterns in Computed Tomography Using 3D Texture Features. - Daniel Y. Chong; Hyun J. Kim; Pechin Lo; Stefano Young; Michael F. McNitt-Gray; Fereidoun Abtin; Jonathan G. Goldin; Matthew S. Brown (IEEE Trans. Medical Imaging, 2016)

The effects of slice thickness and radiation dose level variations on computer-aided diagnosis (CAD) nodule detection performance in pediatric chest CT scans. - Nastaran Emaminejad; Pechin Lo; Shahnaz Ghahremani; Grace H. Kim; Matthew S. Brown; Michael F. McNitt-Gray (Computer-Aided Diagnosis, 2017)

Towards quantitative imaging: stability of fully-automated nodule segmentation across varied dose levels and reconstruction parameters in a low-dose CT screening patient cohort. - M. Wasil Wahi-Anwar; Nastaran Emaminejad; John M. Hoffman; Grace H. Kim; Matthew S. Brown; Michael F. McNitt-Gray (Computer-Aided Diagnosis, 2018)

Iterative reconstruction for low dose CT using Plug-and-Play alternating direction method of multipliers (ADMM) framework. - Qihui Lyu; Dan Ruan; John M. Hoffman; Ryan Neph; Michael F. McNitt-Gray; Ke Sheng (Image Processing, 2019)

Enhancing 4d Cardiac Mri Registration Network With A Motion Prior Learned From Coronary Cta. - Yudi Sang; Minsong Cao; Michael F. McNitt-Gray; Yu Gao; Peng Hu; Ran Yan; Yingli Yang; Dan Ruan (ISBI, 2021)

Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. - Yoganand Balagurunathan; Andrew Beers; Michael F. McNitt-Gray; Lubomir M. Hadjiiski; Sandy Napel; Dmitry B. Goldgof; Gustavo Pérez; Pablo Arbeláez; Alireza Mehrtash; Tina Kapur; Ehwa Yang; Jung Won Moon; et al. (IEEE Trans. Medical Imaging, 2021)

Sequestration of imaging studies in MIDRC: a multi-institutional data commons. - Natalie M. Baughan; Heather M. Whitney; Karen Drukker; Berkman Sahiner; Tingting Hu; Hyun J. Grace Kim; Michael F. McNitt-Gray; Kyle J. Myers; Maryellen L. Giger (Image Perception, Observer Performance, and Technology Assessment, 2022)

Inter-Phase 4D Cardiac MRI Registration With a Motion Prior Derived From CTA. - Yudi Sang; Minsong Cao; Michael F. McNitt-Gray; Yu Gao; Peng Hu; Ran Yan; Yingli Yang; Dan Ruan (IEEE Trans. Biomed. Eng., 2022)

An analytic, physics-based approach to scoring emphysema in lung CT patients. - John M. Hoffman; Frédéric Noo; Michael F. McNitt-Gray (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. - Alexandra C. Shiffer; Hyun J. Grace Kim; Michael F. McNitt-Gray (Computer-Aided Diagnosis, 2023)

3D patch-based CNN for fissure segmentation on CT images to quantitatively assess fissure integrity and evaluate emphysema patients for endobronchial valve treatment. - Dallas K. Tada; Pangyu Teng; Michael F. McNitt-Gray; Grace H. Kim; Matthew S. Brown; Jonathan G. Goldin; Kalyani Vyapari; Ashley Banola (Computer-Aided Diagnosis, 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. - Karen Drukker; Berkman Sahiner; Tingting Hu; Hyun J. Grace Kim; Heather M. Whitney; Natalie M. Baughan; Kyle J. Myers; Maryellen L. Giger; Michael F. McNitt-Gray (Image Perception, Observer Performance, and Technology Assessment, 2023)