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J.M.H. (Julia) Noothout PHD Candidate - OIO

  • Image Sciences Institute

J.M.H. Noothout

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Biography

Julia Noothout obtained her Bachelor of Science degree in Medicine in 2013 from Utrecht University. In 2017 she received her Master of Science degree in Biomedical Image Sciences and with this combination of biomedical training and image processing related research she is able to combine her interest in functionality of the human body and medical imaging.

Her master thesis focused on segmentation of the aortic arch in low-dose chest CT by applying weakly supervised training for convolutional neural networks. In June 2017, Julia started her PhD at the Image Sciences Institute at UMC Utrecht and joined the Quantitative Medical Image Analysis Group. Her main research topic is Deep Transfer Learning techniques with an application to cardiac spectral CT.

Research Output (3)

CNN-based Landmark Detection in Cardiac CTA Scans

Noothout JMH, de Vos BD, Wolterink JM, Leiner T, Isgum I 4 jul 2018, p. 1-11 11 p.

Automatic segmentation of thoracic aorta segments in low-dose chest CT

Noothout JMH, de Vos BD, Wolterink JM, Isgum I 15 mrt 2018,

Automatic segmentation of thoracic aorta segments in low-dose chest CT

Noothout Julia M.H., De Vos Bob D., Wolterink Jelmer M., Išgum Ivana 2 mrt 2018,

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