Mr. Jan-Jurre Mordang Profile

Jan-Jurre Mordang

Student at Radboud Univ Medical Ctr

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Author

Publications (6)

Proceedings Article | 6 July 2018 Paper

Mammogram denoising to improve the calcification detection performance of convolutional nets

Claudio Marrocco, Alessandro Bria, Valerio Di Sano, Lucas Borges, Benedetta Savelli, Mario Molinara, Jan-Jurre Mordang, Nico Karssemeijer, Francesco Tortorella

Proceedings Volume 10718, 107180W (2018) https://doi.org/10.1117/12.2318069

KEYWORDS: Mammography, Denoising, Signal to noise ratio, Image filtering, Breast, Convolutional neural networks

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Proceedings Article | 6 July 2018 Paper

Improving the automated detection of calcifications by combining deep cascades and deep convolutional nets

Alessandro Bria, Claudio Marrocco, Mario Molinara, Benedetta Savelli, Jan-Jurre Mordang, Nico Karssemeijer, Francesco Tortorella

Proceedings Volume 10718, 1071808 (2018) https://doi.org/10.1117/12.2318016

KEYWORDS: Mammography, Image classification, Convolutional neural networks, Computer aided design, Classification systems, Digital mammography

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Proceedings Article | 6 July 2018 Paper

Can radiologists improve their breast cancer detection in mammography when using a deep learning based computer system as decision support?

Alejandro Rodriguez-Ruiz, Jan-Jurre Mordang, Nico Karssemeijer, Ioannis Sechopoulos, Ritse Mann

Proceedings Volume 10718, 1071803 (2018) https://doi.org/10.1117/12.2317937

KEYWORDS: Computing systems, Mammography, Decision support systems, Cancer, Breast cancer, Statistical analysis, Machine learning, Evolutionary algorithms, Receivers, Tumor growth modeling

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Proceedings Article | 3 March 2017 Presentation + Paper

Conditional random field modelling of interactions between findings in mammography

Thijs Kooi, Jan-Jurre Mordang, Nico Karssemeijer

Proceedings Volume 10134, 101341E (2017) https://doi.org/10.1117/12.2254133

KEYWORDS: Mammography, Computer aided diagnosis and therapy, Neural networks, Medical imaging, Machine learning, Breast, Deep learning, Convolutional neural networks, Tumor growth modeling, Sensors, Tissues, Systems modeling

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Proceedings Article | 20 March 2015 Paper

Vessel segmentation in screening mammograms

J .J. Mordang, N. Karssemeijer

Proceedings Volume 9414, 94140J (2015) https://doi.org/10.1117/12.2081804

KEYWORDS: Mammography, Image segmentation, Blood vessels, Breast cancer, Computer aided diagnosis and therapy, Receivers, Breast, Computing systems, Gaussian filters, Image analysis

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Proceedings Article | 13 March 2013 Paper

A pattern recognition framework for vessel segmentation in 4D CT of the brain

J. J. Mordang, M. T. Oei, R. van den Boom, E. Smit, M. Prokop, B. van Ginneken, R. Manniesing

Proceedings Volume 8669, 866919 (2013) https://doi.org/10.1117/12.2006824

KEYWORDS: Image segmentation, Tissues, Bone, 4D CT imaging, Computed tomography, Brain, Pattern recognition, Blood vessels, Arteries, Veins

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Showing 5 of 6 publications

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