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Computer-aided characterization of solitary pulmonary nodules (SPNs) using structural 3D, texture, and functional dynamic contrast features.

Y. Wang, M. McNitt-Gray, S. Shah, J. Goldin, M. Brown, and D. Aberle. Medical Imaging: Computer-Aided Diagnosis, volume 6514 of SPIE Proceedings, page 651413. SPIE, (2007)

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Martin Brown

Jonathan Brown

Gary Brown

Nelson Brown

Other publications of authors with the same name

Typed Self-Applicable Meta-Programming.M. Brown. University of California, Los Angeles, USA, (2017)AI-human interactive pipeline with feedback to accelerate medical image annotation.Y. Choi, M. Garcia, S. Raman, D. Enzmann, and M. Brown. Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Multiscale shape features for classification of bronchovascular anatomy in CT using AdaBoost.R. Ochs, J. Goldin, F. Abtin, H. Kim, K. Brown, P. Batra, D. Roback, M. McNitt-Gray, and M. Brown. Medical Imaging: Image Processing, volume 6512 of SPIE Proceedings, page 65120T. SPIE, (2007)Catheter detection and classification on chest radiographs: an automated prototype computer-aided detection (CAD) system for radiologists.B. Ramakrishna, M. Brown, J. Goldin, C. Cagnon, and D. Enzmann. Medical Imaging: Computer-Aided Diagnosis, volume 7963 of SPIE Proceedings, page 796333. SPIE, (2011)An extensible knowledge-based architecture for segmenting computed tomography images.M. Brown, M. McNitt-Gray, J. Goldin, and D. Aberle. ICIP (3), page 516-519. IEEE Computer Society, (1997)Examining the Effects of Race on Human-AI Cooperation.A. Atkins, M. Brown, and C. Dancy. SBP-BRiMS, volume 12720 of Lecture Notes in Computer Science, page 279-288. Springer, (2021)Effects of CT dose and nodule characteristics on lung-nodule detectability in a cohort of 90 national lung screening trial patients.S. Young, P. Lo, J. Hoffman, H. Kim, M. Brown, and M. McNitt-Gray. Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97850G. SPIE, (2016)High Throughput Lung and Lobar Segmentation by 2D and 3D CNN on Chest CT with Diffuse Lung Disease.X. Wang, P. Teng, P. Lo, A. Banola, G. Kim, F. Abtin, J. Goldin, and M. Brown. RAMBO+BIA+TIA@MICCAI, volume 11040 of Lecture Notes in Computer Science, page 202-214. Springer, (2018)Using a GAN for CT contrast enhancement to improve CNN kidney segmentation accuracy.S. Welland, G. Melendez-Corres, P. Teng, H. Coy, M. Wahi-Anwar, S. Raman, and M. Brown. Medical Imaging: Image Processing, volume 12464 of SPIE Proceedings, SPIE, (2023)Implementing Trustworthy AI in Real-world Medical Imaging using the SimpleMind Software Environment.M. Brown, M. Wahi-Anwar, Y. Choi, M. Daly, L. Shrestha, K. Wong, J. Goldin, and D. Enzmann. NeSy, volume 3432 of CEUR Workshop Proceedings, page 195-203. CEUR-WS.org, (2023)

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Disambiguation of "Brown, Matthew S."

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Computer-aided characterization of solitary pulmonary nodules (SPNs) using structural 3D, texture, and functional dynamic contrast features.

Please choose a person to relate this publication to

Martin Brown

Jonathan Brown

Gary Brown

Gary Brown

Nelson Brown

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Brown, Matthew S."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Computer-aided characterization of solitary pulmonary nodules (SPNs) using structural 3D, texture, and functional dynamic contrast features.

Please choose a person to relate this publication to

Martin Brown

Jonathan Brown

Gary Brown

Gary Brown

Nelson Brown

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Computer-aided characterization of solitary pulmonary nodules (SPNs) using structural 3D, texture, and functional dynamic contrast features.