David F. Yankelevitz
According to our database1,
David F. Yankelevitz
authored at least 51 papers
between 1999 and 2021.
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Bibliography
2021
Radiomic texture analysis for the assessment of osteoporosis on low-dose thoracic CT scans.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
2020
Proceedings of the Medical Imaging 2020: Image Perception, 2020
Cascade of U-Nets in the detection and classification of coronary artery calcium in thoracic low-dose CT.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
2019
A multiscale Laplacian of Gaussian (LoG) filtering approach to pulmonary nodule detection from whole-lung CT scans.
CoRR, 2019
Detection and classification of coronary artery calcifications in low dose thoracic CT using deep learning.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
2018
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
2017
Identification of early-stage usual interstitial pneumonia from low-dose chest CT scans using fractional high-density lung distribution.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
2015
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Automated segmentation of cardiac visceral fat in low-dose non-contrast chest CT images.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
2014
Int. J. Comput. Assist. Radiol. Surg., 2014
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014
2012
Proceedings of the Medical Imaging 2012: Image Processing, 2012
2011
Int. J. Biomed. Imaging, 2011
2010
Proceedings of the Medical Imaging 2010: Visualization, 2010
Automated quantification of pulmonary emphysema from computed tomography scans: comparison of variation and correlation of common measures in a large cohort.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010
Variation compensation and analysis on diaphragm curvature analysis for emphysema quantification on whole lung CT scans.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010
Standard moments based vessel bifurcation filter for computer-aided detection of pulmonary nodules.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010
2009
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
Emphysema quantification from CT scans using novel application of diaphragm curvature estimation: comparison with standard quantification methods and pulmonary function data.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
Quantitative assessment of emphysema from whole lung CT scans: comparison with visual grading.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
Improved precision of repeat image change measurement of pulmonary nodules using moment-based z-compensation on a zero-change dataset.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
A multiscale Laplacian of Gaussian filtering approach to automated pulmonary nodule detection from whole-lung low-dose CT scans.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
2008
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008
Characterization of pulmonary nodules: effects of size and feature type on reported performance.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008
The impact of pulmonary nodule size estimation accuracy on the measured performance of automated nodule detection systems.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008
Comparison of computer versus manual determination of pulmonary nodule volumes in CT scans.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008
Medical needle steering for lung biopsy: Experimental results in tissue phantoms using a robotic needle driver.
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008
2007
The Lung Image Database Consortium (LIDC): pulmonary nodule measurements, the variation, and the difference between different size metrics.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
Automated volumetric segmentation method for growth consistency of nonsolid pulmonary nodules in high-resolution CT.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
The Lung Image Database Consortium (LIDC): a quality assurance model for the collection of expert-defined truth in lung-nodule-based image analysis studies.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
2006
IEEE Trans. Medical Imaging, 2006
2004
Automated detection of pulmonary nodules from whole lung helical CT scans: performance comparison for isolated and attached nodules.
Proceedings of the Medical Imaging 2004: Image Processing, 2004
2003
Three-Dimensional Segmentation and Growth Rate Estimation of Small Pulmonary Nodules in Helical CT Images.
IEEE Trans. Medical Imaging, 2003
Proceedings of the Medical Imaging 2003: Image Processing, 2003
Proceedings of the Medical Imaging 2003: Image Processing, 2003
1999
Consistent segmentation of repeat CT scans for growth assessment in pulmonary nodules.
Proceedings of the Medical Imaging 1999: Image Processing, 1999