J.M.H. Noothout MSc publications

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Publications MSc J.M.H. Noothout

Positions
PhD Candidate, Other Academic Staff
Main activities
Research
Specialisation
Cardiovascular Disease Detection
Focus of research

Medical Image Analysis and Deep Learning for Cardiovascular Disease Detection

2020

  • Noothout Julia M. H., de Vos Bob D., Wolterink Jelmer M., Postma Elbrich M., Smeets Paul A. M., Takx Richard A. P., Leiner Tim, Viergever Max A., Isgum Ivana Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images IEEE transactions on medical imaging 2020;39 (12):4011-4022 [PubMed]

2019

  • van Harten Louis D., Noothout Julia M.H., Verhoeff Joost J.C., Wolterink Jelmer M., Išgum Ivana Automatic segmentation of organs at risk in thoracic CT scans by combining 2D and 3D convolutional neural networksin: 2019 SegTHOR Challenge: Segmentation of THoracic Organs at Risk in CT Images, SegTHOR 2019; Venice; Italy; 10 April 2019 through ; Code 147500. 2019.

2018

  • Noothout Julia M. H., de Vos Bob D., Wolterink Jelmer M., Išgum Ivana Automatic segmentation of thoracic aorta segments in low-dose chest CTin: Elsa D. Angelini, Bennett A. Landman, editors. Medical Imaging 2018: Image Processing. SPIE; 2018.
  • Noothout Julia, Wolterink Jelmer, de Vos Bob D., Leiner Tim, Isgum Ivana CNN-based Landmark Detection in Cardiac CTA Scansin: 1st Conference on Medical Imaging with Deep Learning (MIDL 2018), Amsterdam, The Netherlands.. 2018.