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ORCIDMichael F. McNitt-Gray
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2020 – today
- 2023
[c35]John M. Hoffman, Frédéric Noo, Michael F. McNitt-Gray:
An analytic, physics-based approach to scoring emphysema in lung CT patients. Computer-Aided Diagnosis 2023- [c34]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. Computer-Aided Diagnosis 2023 - [c33]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. Computer-Aided Diagnosis 2023 - [c32]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. Image Perception, Observer Performance, and Technology Assessment 2023 - 2022
- [j13]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): 1828-1836 (2022) - [c31]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. Image Perception, Observer Performance, and Technology Assessment 2022 - 2021
- [j12]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, 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): 3748-3761 (2021) - [c30]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: 917-920
2010 – 2019
- 2019
- [c29]Qihui Lyu, Dan Ruan, John M. 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. Image Processing 2019: 1094906 - 2018
- [c28]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. Computer-Aided Diagnosis 2018: 105751L - 2017
- [c27]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. Computer-Aided Diagnosis 2017: 101340B - 2016
- [j11]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): 144-157 (2016) - [c26]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. Computer-Aided Diagnosis 2016: 97850G - [c25]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. Image Perception, Observer Performance, and Technology Assessment 2016: 97870Q - 2012
- [c24]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 - 2011
- [c23]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. Computer-Aided Diagnosis 2011: 79630D
2000 – 2009
- 2008
- [j10]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: 379486:1-379486:6 (2008) - [c22]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:
Automatic segmentation of lung parenchyma based on curvature of ribs using HRCT images in scleroderma studies. Computer-Aided Diagnosis 2008: 69152K - 2007
- [j9]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): 332-337 (2007) - [j8]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): 315-324 (2007) - [c21]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. Computer-Aided Diagnosis 2007: 65140K - [c20]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. Computer-Aided Diagnosis 2007: 65140J - [c19]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. Computer-Aided Diagnosis 2007: 65142A - [c18]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. Computer-Aided Diagnosis 2007: 65143D - [c17]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. Computer-Aided Diagnosis 2007: 651413 - [c16]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. Computer-Aided Diagnosis 2007: 651429 - [c15]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. Image Processing 2007: 65120T - 2006
- [c14]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:
The influence of CT dose and reconstruction parameters on automated detection of small pulmonary nodules. Image Processing 2006: 61445W - 2005
- [j7]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): 99-108 (2005) - [c13]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. Image Processing 2005 - 2004
- [c12]Michael F. McNitt-Gray:
Lung nodules and beyond: approaches, challenges and opportunities in thoracic CAD. CARS 2004: 896-901 - [c11]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: 952-955 - 2001
- [j6]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): 242-253 (2001) - [j5]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): 1242-1250 (2001) - [c10]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. Image Processing 2001 - [c9]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. Image Processing 2001 - 2000
- [c8]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. Image Processing 2000 - [c7]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. Image Processing 2000
1990 – 1999
- 1999
- [j4]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): 29-33 (1999) - [c6]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 - 1998
- [c5]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 - [c4]Matthew S. Brown, Michael F. McNitt-Gray, Jonathan G. Goldin, Denise R. Aberle:
Extensible knowledge-based architecture for segmenting CT data. Image Processing 1998 - [c3]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. Image Processing 1998 - 1997
- [j3]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): 828-839 (1997) - [c2]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: 516-519 - 1996
- [c1]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. Image Processing 1996 - 1995
- [j2]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): 537-547 (1995) - 1993
- [j1]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): 95-104 (1993)
Coauthor Index
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