Jeroen A. W. Tielbeek

According to our database1, Jeroen A. W. Tielbeek authored at least 13 papers between 2012 and 2016.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2016
Image Registration Based on Autocorrelation of Local Structure.
IEEE Trans. Medical Imaging, 2016

2015
Expiration-Phase Template-Based Motion Correction of Free-Breathing Abdominal Dynamic Contrast Enhanced MRI.
IEEE Trans. Biomed. Eng., 2015

2014
Combining Multiple Expert Annotations Using Semi-supervised Learning and Graph Cuts for Crohn's Disease Segmentation.
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2014

Active learning based segmentation of Crohn's disease using principles of visual saliency.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
Automatic Detection and Segmentation of Crohn's Disease Tissues From Abdominal MRI.
IEEE Trans. Medical Imaging, 2013

A Supervised Learning Approach for Crohn's Disease Detection Using Higher-Order Image Statistics and a Novel Shape Asymmetry Measure.
J. Digit. Imaging, 2013

Localizing and segmenting Crohn's disease affected regions in abdominal MRI using novel context features.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

A Model Development Pipeline for Crohn's Disease Severity Assessment from Magnetic Resonance Images.
Proceedings of the Abdominal Imaging. Computation and Clinical Applications, 2013

Semi-Supervised and Active Learning for Automatic Segmentation of Crohn's Disease.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Weakly supervised semantic segmentation of Crohn's disease tissues from abdominal MRI.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Crohn's disease tissue segmentation from abdominal MRI using semantic information and graph cuts.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012
A Supervised Learning Based Approach to Detect Crohn's Disease in Abdominal MR Volumes.
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2012

Computational modeling for assessment of IBD: To be or not to be?
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012


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