Isabelle Gardin

According to our database1, Isabelle Gardin authored at least 14 papers between 2012 and 2022.

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



In proceedings 
PhD thesis 




Correction: Brochet et al. A Quantitative Comparison between Shannon and Tsallis-Havrda-Charvat Entropies Applied to Cancer Outcome Prediction. Entropy 2022, 24, 436.
Entropy, 2022

Anthropometer3D: Automatic Multi-Slice Segmentation Software for the Measurement of Anthropometric Parameters from CT of PET/CT.
J. Digit. Imaging, 2019

Semi-automatic lymphoma detection and segmentation using fully conditional random fields.
Comput. Medical Imaging Graph., 2018

Feature selection for outcome prediction in oesophageal cancer using genetic algorithm and random forest classifier.
Comput. Medical Imaging Graph., 2017

3D Lymphoma Segmentation in PET/CT Images Based on Fully Connected CRFs.
Proceedings of the Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, 2017

Monte-Carlo simulations of clinically realistic respiratory gated <sup>18</sup>F-FDG PET: Application to lesion detectability and volume measurements.
Comput. Methods Programs Biomed., 2015

Segmentation of pelvic organs at risk using superpixels and graph diffusion in prostate radiotherapy.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Fusion of multi-tracer PET images for dose painting.
Medical Image Anal., 2014

Eikonal-based region growing for efficient clustering.
Image Vis. Comput., 2014

Dealing with uncertainty and imprecision in image segmentation using belief function theory.
Int. J. Approx. Reason., 2014

Segmentation of heterogeneous or small FDG PET positive tissue based on a 3D-locally adaptive random walk algorithm.
Comput. Medical Imaging Graph., 2014

Segmentation of Biological Target Volumes on Multi-tracer PET Images Based on Information Fusion for Achieving Dose Painting in Radiotherapy.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

3D random walk based segmentation for lung tumor delineation in PET imaging.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Using Belief Function Theory to Deal with Uncertainties and Imprecisions in Image Processing.
Proceedings of the Belief Functions: Theory and Applications, 2012