Michael F. McNitt-Gray

Publication Activity (10 Years)

Years Active: 1993-2023
Publications (10 Years): 14

Top Topics

Radiation Doses

Computed Tomography

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Medical Imaging: Image Perception, Observer Performance, and Technology Assessment

IEEE Trans. Medical Imaging

Publications

Dallas K. Tada, Pangyu Teng, Michael F. McNitt-Gray, Grace H. Kim, Matthew S. Brown, Jonathan G. Goldin, Kalyani Vyapari, Ashley Banola
3D patch-based CNN for fissure segmentation on CT images to quantitatively assess fissure integrity and evaluate emphysema patients for endobronchial valve treatment. Medical Imaging: Computer-Aided Diagnosis (2023)
Alexandra C. Shiffer, Hyun J. Grace Kim, Michael F. McNitt-Gray
Prediction of recurrence in non-small cell lung cancer (NSCLC) using Gabor and radiomic-feature based models applied to CT image data. Medical Imaging: Computer-Aided Diagnosis (2023)
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
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. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
John M. Hoffman, Frédéric Noo, Michael F. McNitt-Gray
An analytic, physics-based approach to scoring emphysema in lung CT patients. Medical Imaging: Computer-Aided Diagnosis (2023)
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
Sequestration of imaging studies in MIDRC: a multi-institutional data commons. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2022)
Yudi Sang, Minsong Cao, Michael F. McNitt-Gray, Yu Gao, Peng Hu, Ran Yan, Yingli Yang, Dan Ruan
Inter-Phase 4D Cardiac MRI Registration With a Motion Prior Derived From CTA. IEEE Trans. Biomed. Eng. 69 (6) (2022)
Yudi Sang, Minsong Cao, Michael F. McNitt-Gray, Yu Gao, Peng Hu, Ran Yan, Yingli Yang, Dan Ruan
Enhancing 4d Cardiac Mri Registration Network With A Motion Prior Learned From Coronary Cta. ISBI (2021)
Yoganand Balagurunathan, Andrew Beers, Michael F. McNitt-Gray, Lubomir M. Hadjiiski, Sandy Napel, Dmitry B. Goldgof, Gustavo Pérez, Pablo Arbelaez, Alireza Mehrtash, Tina Kapur, Ehwa Yang, Jung Won Moon, Gabriel Bernardino Perez, Ricard Delgado-Gonzalo, Mohammad Mehdi Farhangi, Amir A. Amini, Renkun Ni, Xue Feng, Aditya Bagari, Kiran Vaidhya, Benjamin Veasey, Wiem Safta, Hichem Frigui, Joseph Enguehard, Ali Gholipour, Laura Silvana Castillo, Laura Alexandra Daza, Paul F. Pinsky, Jayashree Kalpathy-Cramer, Keyvan Farahani
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. IEEE Trans. Medical Imaging 40 (12) (2021)
Qihui Lyu, Dan Ruan, John Hoffman, Ryan Neph, Michael F. McNitt-Gray, Ke Sheng
Iterative reconstruction for low dose CT using Plug-and-Play alternating direction method of multipliers (ADMM) framework. Medical Imaging: Image Processing (2019)
M. Wasil Wahi-Anwar, Nastaran Emaminejad, John M. Hoffman, Grace H. Kim, Matthew S. Brown, Michael F. McNitt-Gray
Towards quantitative imaging: stability of fully-automated nodule segmentation across varied dose levels and reconstruction parameters in a low-dose CT screening patient cohort. Medical Imaging: Computer-Aided Diagnosis (2018)
Nastaran Emaminejad, Pechin Lo, Shahnaz Ghahremani, Grace H. Kim, Matthew S. Brown, Michael F. McNitt-Gray
The effects of slice thickness and radiation dose level variations on computer-aided diagnosis (CAD) nodule detection performance in pediatric chest CT scans. Medical Imaging: Computer-Aided Diagnosis (2017)
Stefano Young, Pechin Lo, John M. Hoffman, Hyun J. Grace Kim, Matthew S. Brown, Michael F. McNitt-Gray
Effects of CT dose and nodule characteristics on lung-nodule detectability in a cohort of 90 national lung screening trial patients. Medical Imaging: Computer-Aided Diagnosis (2016)
Daniel Y. Chong, Hyun J. Kim, Pechin Lo, Stefano Young, Michael F. McNitt-Gray, Fereidoun Abtin, Jonathan G. Goldin, Matthew S. Brown
Robustness-Driven Feature Selection in Classification of Fibrotic Interstitial Lung Disease Patterns in Computed Tomography Using 3D Texture Features. IEEE Trans. Medical Imaging 35 (1) (2016)
John M. Hoffman, Frédéric Noo, K. McMillan, S. Young, Michael F. McNitt-Gray, Eloisa Rodriguez-Mena
Assessing nodule detection on lung cancer screening CT: the effects of tube current modulation and model observer selection on detectability maps. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2016)
Craig A. Morioka, Michael F. McNitt-Gray, Berenji Gholam, Kyle Brubaker, Adam Turner, Suzie El-Saden
Tracking Veteran Patient's Organ Dose from Abdominal CT Exams. AMIA (2012)
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
Evaluation of 1D, 2D and 3D nodule size estimation by radiologists for spherical and non-spherical nodules through CT thoracic phantom imaging. Medical Imaging: Computer-Aided Diagnosis (2011)
M. N. Prasad, Matthew S. Brown, Shana Ahmad, Fereidoun Abtin, J. Allen, Irene Da Costa, Hyun J. Kim, Michael F. McNitt-Gray, Jonathan G. Goldin
Automatic segmentation of lung parenchyma based on curvature of ribs using HRCT images in scleroderma studies. Medical Imaging: Computer-Aided Diagnosis (2008)
Miwa Okumura, Takamasa Ota, Kazuhisa Kainuma, James W. Sayre, Michael F. McNitt-Gray, Kazuhiro Katada
Effect of Edge-Preserving Adaptive Image Filter on Low-Contrast Detectability in CT Systems: Application of ROC Analysis. Int. J. Biomed. Imaging 2008 (2008)
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, Eric A. Hoffman, Barbara Y. Croft, Laurence P. Clarke
The Lung Image Database Consortium (LIDC): a quality assurance model for the collection of expert-defined truth in lung-nodule-based image analysis studies. Medical Imaging: Computer-Aided Diagnosis (2007)
Robert A. Ochs, Jonathan G. Goldin, Fereidoun Abtin, Hyun J. Kim, Kathleen Brown, Poonam Batra, Donald Roback, Michael F. McNitt-Gray, Matthew S. Brown
Multiscale shape features for classification of bronchovascular anatomy in CT using AdaBoost. Medical Imaging: Image Processing (2007)
Robert A. Ochs, Hyun J. Kim, Erin Angel, Christoph Panknin, Michael F. McNitt-Gray, Matthew S. Brown
Forming a reference standard from LIDC data: impact of reader agreement on reported CAD performance. Medical Imaging: Computer-Aided Diagnosis (2007)
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, Claudia I. Henschke, Eric A. Hoffman, Barbara Y. Croft, Laurence P. Clarke
The Lung Image Database Consortium (LIDC): pulmonary nodule measurements, the variation, and the difference between different size metrics. Medical Imaging: Computer-Aided Diagnosis (2007)
Robert A. Ochs, Jonathan G. Goldin, Fereidoun Abtin, Hyun J. Kim, Kathleen Brown, Poonam Batra, Donald Roback, Michael F. McNitt-Gray, Matthew S. Brown
Automated classification of lung bronchovascular anatomy in CT using AdaBoost. Medical Image Anal. 11 (3) (2007)
Yang Wang, Michael F. McNitt-Gray, Matthew S. Brown, Jonathan G. Goldin, Haiming Zhao, Denise R. Aberle
Differentiating solitary pulmonary nodules (SPNs) with 3D shape features. Medical Imaging: Computer-Aided Diagnosis (2007)
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, J. Guo, D. P. Qing, David F. Yankelevitz, Denise R. Aberle, Edwin J. R. van Beek, Heber MacMahon, Ella A. Kazerooni, Barbara Y. Croft, Laurence P. Clarke
The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation. Medical Imaging: Computer-Aided Diagnosis (2007)
Matthew S. Brown, Michael F. McNitt-Gray, Richard C. Pais, Sumit K. Shah, Peiyuan Qing, Irene Da Costa, Denise R. Aberle, Jonathan G. Goldin
CAD in clinical trials: Current role and architectural requirements. Comput. Medical Imaging Graph. 31 (4-5) (2007)
Yang Wang, Michael F. McNitt-Gray, Sumit K. Shah, Jonathan G. Goldin, Matthew S. Brown, Denise R. Aberle
Computer-aided characterization of solitary pulmonary nodules (SPNs) using structural 3D, texture, and functional dynamic contrast features. Medical Imaging: Computer-Aided Diagnosis (2007)
Robert A. Ochs, Erin Angel, Kirsten Boedeker, Iva Petkovska, Christoph Panknin, Jonathan G. Goldin, Denise R. Aberle, Michael F. McNitt-Gray, Matthew S. Brown
The influence of CT dose and reconstruction parameters on automated detection of small pulmonary nodules. Medical Imaging: Image Processing (2006)
Sumit K. Shah, Michael F. McNitt-Gray, Iva Petkovska, Hyun Jun Kim, Kheshini R. DeZoysa, Jonathan G. Goldin, Robert D. Suh, Denise R. Aberle
Solitary pulmonary nodule characterization on CT by use of contrast enhancement maps. Medical Imaging: Image Processing (2005)
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
Database design and implementation for quantitative image analysis research. IEEE Trans. Inf. Technol. Biomed. 9 (1) (2005)
Sumit K. Shah, Michael F. McNitt-Gray, Sarah Rogers, Jonathan G. Goldin, Denise R. Aberle, Robert D. Suh, Kheshini R. DeZoysa, Matthew S. Brown
Computer-aided lung nodule diagnosis using a simple classifier. CARS (2004)
Michael F. McNitt-Gray
Lung nodules and beyond: approaches, challenges and opportunities in thoracic CAD. CARS (2004)
Matthew S. Brown, Michael F. McNitt-Gray, Jonathan G. Goldin, Robert D. Suh, Denise R. Aberle
Patient-specific models for lung nodule detection and surveillance in CT images. Medical Imaging: Image Processing (2001)
Matthew S. Brown, Michael F. McNitt-Gray, Jonathan G. Goldin, Robert D. Suh, James W. Sayre, Denise R. Aberle
Patient-Specific Models for Lung Nodule Detection and Survellience in CT Images. IEEE Trans. Medical Imaging 20 (12) (2001)
Michael F. McNitt-Gray, Nathaniel Wyckoff, Jonathan G. Goldin, Robert D. Suh, James W. Sayre, Denise R. Aberle
Computer-aided diagnosis of the solitary pulmonary nodule imaged on CT: 2D, 3D, and contrast enhancement features. Medical Imaging: Image Processing (2001)
Alex A. T. Bui, Michael F. McNitt-Gray, Jonathan G. Goldin, Alfonso F. Cardenas, Denise R. Aberle
Application of Information Technology: Problem-oriented Prefetching for an Integrated Clinical Imaging Workstation. J. Am. Medical Informatics Assoc. 8 (3) (2001)
Nathaniel Wyckoff, Michael F. McNitt-Gray, Jonathan G. Goldin, Robert D. Suh, James W. Sayre, Denise R. Aberle
Classification of solitary pulmonary nodules (SPNs) imaged on high-resolution CT using contrast enhancement and three-dimensional quantitative image features. Medical Imaging: Image Processing (2000)
Matthew S. Brown, Waldo C. Feng, Theodore R. Hall, Michael F. McNitt-Gray, Bernard M. Churchill
Knowledge-based segmentation of pediatric kidneys in CT for measuring parenchymal volume. Medical Imaging: Image Processing (2000)
Alex A. T. Bui, Denise R. Aberle, Jonathan G. Goldin, Michael F. McNitt-Gray, Alfonso F. Cardenas, Eric Kleerup, Osman Ratib
TimeLine: A Multimedia, Problem-Centric Visualization of Patient Records. AMIA (1999)
Carolyn Kimme-Smith, Donna Lynn Davis, Michael F. McNitt-Gray, Jonathan G. Goldin, Eric M. Hart, Poonam Batra, Timothy D. Johnson
Computed radiography dual energy subtraction: Performance evaluation when detecting low-contrast lung nodules in an anthropomorphic phantom. J. Digit. Imaging 12 (1) (1999)
Alex A. T. Bui, Denise R. Aberle, Michael F. McNitt-Gray, Alfonso F. Cardenas, Jonathan G. Goldin
The evolution of an integrated timeline for oncology patient healthcare. AMIA (1998)
Michael F. McNitt-Gray, Eric M. Hart, Nathaniel Wyckoff, James W. Sayre, Jonathan G. Goldin, Denise R. Aberle
Application of image analysis techniques to distinguish benign from malignant solitary pulmonary nodules imaged on CT. Medical Imaging: Image Processing (1998)
Matthew S. Brown, Michael F. McNitt-Gray, Jonathan G. Goldin, Denise R. Aberle
Extensible knowledge-based architecture for segmenting CT data. Medical Imaging: Image Processing (1998)
Matthew S. Brown, Michael F. McNitt-Gray, Nicholas J. Mankovich, Jonathan G. Goldin, John Hiller, Laurence S. Wilson, Denise R. Aberle
Methods for Segmenting Chest CT Image Data Using an Anatomical Model: Preliminary Results. IEEE Trans. Medical Imaging 16 (6) (1997)
Matthew S. Brown, Michael F. McNitt-Gray, Jonathan G. Goldin, Denise R. Aberle
An extensible knowledge-based architecture for segmenting computed tomography images. ICIP (3) (1997)
Michael F. McNitt-Gray, Eric M. Hart, Jonathan G. Goldin, Chih-Wei Yao, Denise R. Aberle
Pattern classification approach to characterizing solitary pulmonary nodules imaged on high-resolution computed tomography. Medical Imaging: Image Processing (1996)
Michael F. McNitt-Gray, H. K. Huang, James W. Sayre
Feature selection in the pattern classification problem of digital chest radiograph segmentation. IEEE Trans. Medical Imaging 14 (3) (1995)
Michael F. McNitt-Gray, Ricky K. Taira, Sandy L. Johnson, Mahmood Razavi
An automatic method for enhancing the display of different tissue densities in digital chest radiographs. J. Digit. Imaging 6 (2) (1993)