Lisa Kinnard

According to our database1, Lisa Kinnard authored at least 13 papers between 2002 and 2010.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2010
Information-Theoretic Approach for Analyzing Bias and Variance in Lung Nodule Size Estimation With CT: A Phantom Study.
IEEE Trans. Medical Imaging, 2010

Micro CT based truth estimation of nodule volume.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010

FDA phantom CT database: a resource for the assessment of lung nodule size estimation methodologies and software development.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010

2009
A template-based approach for the analysis of lung nodules in a volumetric CT phantom study.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

2008
A Mammography Database and View System for African-American Patients.
J. Digit. Imaging, 2008

Volume error analysis for lung nodules attached to pulmonary vessels in an anthropomorphic thoracic phantom.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008

2006
Mammographic CADx system using an image library with an intelligent agent: a pattern matching approach.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

2005
Mass segmentation of dense breasts on digitized mammograms: analysis of a probability-based function.
Proceedings of the Medical Imaging 2005: Image Processing, 2005

2004
Likelihood Function Analysis for Segmentation of Mammographic Masses for Various Margin Groups.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

2003
Separation of malignant and benign masses using image and segmentation features.
Proceedings of the Medical Imaging 2003: Image Processing, 2003

2002
A Multiple Circular Paths Convolution Neural Network System for Detection of Mammographic Masses.
IEEE Trans. Medical Imaging, 2002

Separation of malignant and benign masses using maximum-likelihood modeling and neural networks.
Proceedings of the Medical Imaging 2002: Image Processing, 2002

Automatic segmentation of mammographic masses using fuzzy shadow and maximum-likelihood analysis.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002


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