Ms. Keelin Murphy Profile

Keelin Murphy

at Univ Medisch Ctr Utrecht

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Author

Publications (4)

Proceedings Article | 13 March 2019 Presentation + Paper

Handling label noise through model confidence and uncertainty: application to chest radiograph classification

Erdi Calli, Ecem Sogancioglu, Ernst Th. Scholten, Keelin Murphy, Bram van Ginneken

Proceedings Volume 10950, 1095016 (2019) https://doi.org/10.1117/12.2514290

KEYWORDS: Emphysema, Data modeling, Statistical modeling, Chest imaging, Error analysis, Monte Carlo methods, Image classification, Neural networks

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Proceedings Article | 27 March 2009 Paper

Automatic detection of registration errors for quality assessment in medical image registration

Sascha E. Muenzing, Keelin Murphy, Bram van Ginneken, Josien P. Pluim

Proceedings Volume 7259, 72590K (2009) https://doi.org/10.1117/12.812659

KEYWORDS: Image registration, Lung, Medical imaging, Image quality, Feature extraction, Error analysis, Image analysis, Distance measurement, Computed tomography, Pattern recognition

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Proceedings Article | 17 March 2008 Paper

Automated detection of nodules attached to the pleural and mediastinal surface in low-dose CT scans

Bram van Ginneken, Andre Tan, Keelin Murphy, Bart-Jan de Hoop, Mathias Prokop

Proceedings Volume 6915, 69150X (2008) https://doi.org/10.1117/12.772298

KEYWORDS: Lung, Image segmentation, Computed tomography, Lung cancer, Algorithm development, Computer aided diagnosis and therapy, Blood vessels, Cancer, Computer aided design, Spherical lenses

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Proceedings Article | 29 March 2007 Paper

Automated detection of pulmonary nodules from low-dose computed tomography scans using a two-stage classification system based on local image features

K. Murphy, A. Schilham, H. Gietema, M. Prokop, B. van Ginneken

Proceedings Volume 6514, 651410 (2007) https://doi.org/10.1117/12.713370

KEYWORDS: Lung, Computed tomography, Spherical lenses, Lung cancer, Optical spheres, Computer aided diagnosis and therapy, Classification systems, Colorectal cancer, Pancreatic cancer, Image segmentation

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