Frederic Commandeur

Orcid: 0000-0002-8835-3294

According to our database1, Frederic Commandeur authored at least 10 papers between 2011 and 2019.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2019
Deep learning-based stenosis quantification from coronary CT angiography.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

2018
Deep Learning for Quantification of Epicardial and Thoracic Adipose Tissue From Non-Contrast CT.
IEEE Trans. Medical Imaging, 2018

2017
MRI to CT Prostate Registration for Improved Targeting in Cancer External Beam Radiotherapy.
IEEE J. Biomed. Health Informatics, 2017

Population model of bladder motion and deformation based on dominant eigenmodes and mixed-effects models in prostate cancer radiotherapy.
Medical Image Anal., 2017

In silico model to simulate the radiation response at various fractionation from histopathological images of prostate tumors.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Slice correspondence estimation using SURF descriptors and context-based search for prostate whole-mount histology MRI registration.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Prostate whole-mount histology reconstruction and registration to MRI for correlating in-vivo observations with biological findings.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2013
A Tensor-Based Population Value Decomposition to Explain Rectal Toxicity after Prostate Cancer Radiotherapy.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Propagation of the MRI prostate delineation to the planning CT: A new matching contour framework.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2011
Evaluation of multi-atlas-based segmentation of CT scans in prostate cancer radiotherapy.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011


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