Michael F. McNitt-Gray

48 papers B 11Misc 3Journal 13Unranked 21

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	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 Dallas K. Tada, Pangyu Teng, Michael F. McNitt-Gray, Grace H. Kim, Matthew S. Brown, Jonathan G. Goldin, Kalyani Vyapari, Ashley Banola
2023	—	`conf`	An analytic, physics-based approach to scoring emphysema in lung CT patients. Computer-Aided Diagnosis John M. Hoffman, Frédéric Noo, Michael F. McNitt-Gray
2023	—	`conf`	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 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
2023	—	`conf`	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 Alexandra C. Shiffer, Hyun J. Grace Kim, Michael F. McNitt-Gray
2022	J	`jnl`	Inter-Phase 4D Cardiac MRI Registration With a Motion Prior Derived From CTA. IEEE Trans. Biomed. Eng. Yudi Sang, Minsong Cao, Michael F. McNitt-Gray, Yu Gao, Peng Hu, Ran Yan, Yingli Yang, Dan Ruan
2022	—	`conf`	Sequestration of imaging studies in MIDRC: a multi-institutional data commons. Image Perception, Observer Performance, and Technology Assessment 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
2021	—	`conf`	Enhancing 4d Cardiac Mri Registration Network With A Motion Prior Learned From Coronary Cta. ISBI Yudi Sang, Minsong Cao, Michael F. McNitt-Gray, Yu Gao, Peng Hu, Ran Yan, Yingli Yang, Dan Ruan
2021	J	`jnl`	Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. IEEE Trans. Medical Imaging 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
2019	B	`conf`	Iterative reconstruction for low dose CT using Plug-and-Play alternating direction method of multipliers (ADMM) framework. Image Processing Qihui Lyu, Dan Ruan, John M. Hoffman, Ryan Neph, Michael F. McNitt-Gray, Ke Sheng
2018	—	`conf`	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 M. Wasil Wahi-Anwar, Nastaran Emaminejad, John M. Hoffman, Grace H. Kim, Matthew S. Brown, Michael F. McNitt-Gray
2017	—	`conf`	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 Nastaran Emaminejad, Pechin Lo, Shahnaz Ghahremani, Grace H. Kim, Matthew S. Brown, Michael F. McNitt-Gray
2016	—	`conf`	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 John M. Hoffman, Frédéric Noo, K. McMillan, S. Young, Michael F. McNitt-Gray, Eloisa Rodriguez-Mena
2016	—	`conf`	Effects of CT dose and nodule characteristics on lung-nodule detectability in a cohort of 90 national lung screening trial patients. Computer-Aided Diagnosis Stefano Young, Pechin Lo, John M. Hoffman, Hyun J. Grace Kim, Matthew S. Brown, Michael F. McNitt-Gray
2016	J	`jnl`	Robustness-Driven Feature Selection in Classification of Fibrotic Interstitial Lung Disease Patterns in Computed Tomography Using 3D Texture Features. IEEE Trans. Medical Imaging Daniel Y. Chong, Hyun J. Kim, Pechin Lo, Stefano Young, Michael F. McNitt-Gray, Fereidoun Abtin, Jonathan G. Goldin, Matthew S. Brown
2012	Misc	`conf`	Tracking Veteran Patient's Organ Dose from Abdominal CT Exams. AMIA Craig A. Morioka, Michael F. McNitt-Gray, Berenji Gholam, Kyle Brubaker, Adam Turner, Suzie El-Saden
2011	—	`conf`	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 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
2008	—	`conf`	Automatic segmentation of lung parenchyma based on curvature of ribs using HRCT images in scleroderma studies. Computer-Aided Diagnosis 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
2008	J	`jnl`	Effect of Edge-Preserving Adaptive Image Filter on Low-Contrast Detectability in CT Systems: Application of ROC Analysis. Int. J. Biomed. Imaging Miwa Okumura, Takamasa Ota, Kazuhisa Kainuma, James W. Sayre, Michael F. McNitt-Gray, Kazuhiro Katada
2007	J	`jnl`	Automated classification of lung bronchovascular anatomy in CT using AdaBoost. Medical Image Anal. Robert A. Ochs, Jonathan G. Goldin, Fereidoun Abtin, Hyun J. Kim, Kathleen Brown, Poonam Batra, Donald Roback, Michael F. McNitt-Gray, Matthew S. Brown
2007	J	`jnl`	CAD in clinical trials: Current role and architectural requirements. Comput. Medical Imaging Graph. Matthew S. Brown, Michael F. McNitt-Gray, Richard C. Pais, Sumit K. Shah, Peiyuan Qing, Irene Da Costa, Denise R. Aberle, Jonathan G. Goldin
2007	—	`conf`	Computer-aided characterization of solitary pulmonary nodules (SPNs) using structural 3D, texture, and functional dynamic contrast features. Computer-Aided Diagnosis Yang Wang, Michael F. McNitt-Gray, Sumit K. Shah, Jonathan G. Goldin, Matthew S. Brown, Denise R. Aberle
2007	—	`conf`	Differentiating solitary pulmonary nodules (SPNs) with 3D shape features. Computer-Aided Diagnosis Yang Wang, Michael F. McNitt-Gray, Matthew S. Brown, Jonathan G. Goldin, Haiming Zhao, Denise R. Aberle
2007	—	`conf`	Forming a reference standard from LIDC data: impact of reader agreement on reported CAD performance. Computer-Aided Diagnosis Robert A. Ochs, Hyun J. Kim, Erin Angel, Christoph Panknin, Michael F. McNitt-Gray, Matthew S. Brown
2007	B	`conf`	Multiscale shape features for classification of bronchovascular anatomy in CT using AdaBoost. Image Processing Robert A. Ochs, Jonathan G. Goldin, Fereidoun Abtin, Hyun J. Kim, Kathleen Brown, Poonam Batra, Donald Roback, Michael F. McNitt-Gray, Matthew S. Brown
2007	—	`conf`	The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation. Computer-Aided Diagnosis 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
2007	—	`conf`	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 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
2007	—	`conf`	The Lung Image Database Consortium (LIDC): pulmonary nodule measurements, the variation, and the difference between different size metrics. Computer-Aided Diagnosis 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
2006	B	`conf`	The influence of CT dose and reconstruction parameters on automated detection of small pulmonary nodules. Image Processing 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
2005	J	`jnl`	Database design and implementation for quantitative image analysis research. IEEE Trans. Inf. Technol. Biomed. 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
2005	B	`conf`	Solitary pulmonary nodule characterization on CT by use of contrast enhancement maps. Image Processing Sumit K. Shah, Michael F. McNitt-Gray, Iva Petkovska, Hyun Jun Kim, Kheshini R. DeZoysa, Jonathan G. Goldin, Robert D. Suh, Denise R. Aberle
2004	—	`conf`	Computer-aided lung nodule diagnosis using a simple classifier. CARS Sumit K. Shah, Michael F. McNitt-Gray, Sarah Rogers, Jonathan G. Goldin, Denise R. Aberle, Robert D. Suh, Kheshini R. DeZoysa, Matthew S. Brown
2004	—	`conf`	Lung nodules and beyond: approaches, challenges and opportunities in thoracic CAD. CARS Michael F. McNitt-Gray
2001	J	`jnl`	Application of Information Technology: Problem-oriented Prefetching for an Integrated Clinical Imaging Workstation. J. Am. Medical Informatics Assoc. Alex A. T. Bui, Michael F. McNitt-Gray, Jonathan G. Goldin, Alfonso F. Cardenas, Denise R. Aberle
2001	B	`conf`	Computer-aided diagnosis of the solitary pulmonary nodule imaged on CT: 2D, 3D, and contrast enhancement features. Image Processing Michael F. McNitt-Gray, Nathaniel Wyckoff, Jonathan G. Goldin, Robert D. Suh, James W. Sayre, Denise R. Aberle
2001	J	`jnl`	Patient-Specific Models for Lung Nodule Detection and Survellience in CT Images. IEEE Trans. Medical Imaging Matthew S. Brown, Michael F. McNitt-Gray, Jonathan G. Goldin, Robert D. Suh, James W. Sayre, Denise R. Aberle
2001	B	`conf`	Patient-specific models for lung nodule detection and surveillance in CT images. Image Processing Matthew S. Brown, Michael F. McNitt-Gray, Jonathan G. Goldin, Robert D. Suh, Denise R. Aberle
2000	B	`conf`	Classification of solitary pulmonary nodules (SPNs) imaged on high-resolution CT using contrast enhancement and three-dimensional quantitative image features. Image Processing Nathaniel Wyckoff, Michael F. McNitt-Gray, Jonathan G. Goldin, Robert D. Suh, James W. Sayre, Denise R. Aberle
2000	B	`conf`	Knowledge-based segmentation of pediatric kidneys in CT for measuring parenchymal volume. Image Processing Matthew S. Brown, Waldo C. Feng, Theodore R. Hall, Michael F. McNitt-Gray, Bernard M. Churchill
1999	J	`jnl`	Computed radiography dual energy subtraction: Performance evaluation when detecting low-contrast lung nodules in an anthropomorphic phantom. J. Digit. Imaging Carolyn Kimme-Smith, Donna Lynn Davis, Michael F. McNitt-Gray, Jonathan G. Goldin, Eric M. Hart, Poonam Batra, Timothy D. Johnson
1999	Misc	`conf`	TimeLine: A Multimedia, Problem-Centric Visualization of Patient Records. AMIA Alex A. T. Bui, Denise R. Aberle, Jonathan G. Goldin, Michael F. McNitt-Gray, Alfonso F. Cardenas, Eric Kleerup, Osman Ratib
1998	B	`conf`	Application of image analysis techniques to distinguish benign from malignant solitary pulmonary nodules imaged on CT. Image Processing Michael F. McNitt-Gray, Eric M. Hart, Nathaniel Wyckoff, James W. Sayre, Jonathan G. Goldin, Denise R. Aberle
1998	B	`conf`	Extensible knowledge-based architecture for segmenting CT data. Image Processing Matthew S. Brown, Michael F. McNitt-Gray, Jonathan G. Goldin, Denise R. Aberle
1998	Misc	`conf`	The evolution of an integrated timeline for oncology patient healthcare. AMIA Alex A. T. Bui, Denise R. Aberle, Michael F. McNitt-Gray, Alfonso F. Cardenas, Jonathan G. Goldin
1997	—	`conf`	An extensible knowledge-based architecture for segmenting computed tomography images. ICIP (3) Matthew S. Brown, Michael F. McNitt-Gray, Jonathan G. Goldin, Denise R. Aberle
1997	J	`jnl`	Methods for Segmenting Chest CT Image Data Using an Anatomical Model: Preliminary Results. IEEE Trans. Medical Imaging Matthew S. Brown, Michael F. McNitt-Gray, Nicholas J. Mankovich, Jonathan G. Goldin, John Hiller, Laurence S. Wilson, Denise R. Aberle
1996	B	`conf`	Pattern classification approach to characterizing solitary pulmonary nodules imaged on high-resolution computed tomography. Image Processing Michael F. McNitt-Gray, Eric M. Hart, Jonathan G. Goldin, Chih-Wei Yao, Denise R. Aberle
1995	J	`jnl`	Feature selection in the pattern classification problem of digital chest radiograph segmentation. IEEE Trans. Medical Imaging Michael F. McNitt-Gray, H. K. Huang, James W. Sayre
1993	J	`jnl`	An automatic method for enhancing the display of different tissue densities in digital chest radiographs. J. Digit. Imaging Michael F. McNitt-Gray, Ricky K. Taira, Sandy L. Johnson, Mahmood Razavi