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2020 – today
- 2022
[j9]Thibaud Brochet, Jérôme Lapuyade-Lahorgue, Alexandre Huat, Sébastien Thureau
, David Pasquier, Isabelle Gardin, Romain Modzelewski, David Gibon, Juliette Thariat, Vincent Grégoire, Pierre Vera, Su Ruan:
Correction: Brochet et al. A Quantitative Comparison between Shannon and Tsallis-Havrda-Charvat Entropies Applied to Cancer Outcome Prediction. Entropy 2022, 24, 436. Entropy 24(5): 685 (2022)
2010 – 2019
- 2019
- [j8]Pierre Decazes, David Tonnelet, Pierre Vera, Isabelle Gardin:
Anthropometer3D: Automatic Multi-Slice Segmentation Software for the Measurement of Anthropometric Parameters from CT of PET/CT. J. Digit. Imaging 32(2): 241-250 (2019) - 2018
- [j7]Yuntao Yu, Pierre Decazes, Jérôme Lapuyade-Lahorgue, Isabelle Gardin, Pierre Vera, Su Ruan:
Semi-automatic lymphoma detection and segmentation using fully conditional random fields. Comput. Medical Imaging Graph. 70: 1-7 (2018) - 2017
- [j6]Paul Desbordes, Su Ruan, Romain Modzelewski, Vauclin Sébastien, Pierre Vera, Isabelle Gardin:
Feature selection for outcome prediction in oesophageal cancer using genetic algorithm and random forest classifier. Comput. Medical Imaging Graph. 60: 42-49 (2017) - [c5]Yuntao Yu, Pierre Decazes, Isabelle Gardin, Pierre Vera, Su Ruan:
3D Lymphoma Segmentation in PET/CT Images Based on Fully Connected CRFs. CMMI/RAMBO/SWITCH@MICCAI 2017: 3-12 - 2015
- [j5]S. Vauclin, Christian Michel, Irène Buvat, K. Doyeux, A. Edet-Sanson, Pierre Vera, Isabelle Gardin, S. Hapdey:
Monte-Carlo simulations of clinically realistic respiratory gated 18F-FDG PET: Application to lesion detectability and volume measurements. Comput. Methods Programs Biomed. 118(1): 84-93 (2015) - [c4]Maxime Guinin, Su Ruan, Lamyaa Nkhali, Bernard Dubray, Laurent Massoptier, Isabelle Gardin:
Segmentation of pelvic organs at risk using superpixels and graph diffusion in prostate radiotherapy. ISBI 2015: 1564-1567 - 2014
- [j4]D. P. Onoma, Su Ruan, Sébastien Thureau, Lamyaa Nkhali, Romain Modzelewski, G. A. Monnehan, Pierre Vera, Isabelle Gardin:
Segmentation of heterogeneous or small FDG PET positive tissue based on a 3D-locally adaptive random walk algorithm. Comput. Medical Imaging Graph. 38(8): 753-763 (2014) - [j3]Benoît Lelandais, Isabelle Gardin, Laurent Mouchard, Pierre Vera, Su Ruan:
Dealing with uncertainty and imprecision in image segmentation using belief function theory. Int. J. Approx. Reason. 55(1): 376-387 (2014) - [j2]Pierre Buyssens, Isabelle Gardin, Su Ruan, Abderrahim Elmoataz:
Eikonal-based region growing for efficient clustering. Image Vis. Comput. 32(12): 1045-1054 (2014) - [j1]Benoît Lelandais, Su Ruan, Thierry Denoeux, Pierre Vera, Isabelle Gardin:
Fusion of multi-tracer PET images for dose painting. Medical Image Anal. 18(7): 1247-1259 (2014) - 2012
- [c3]Benoît Lelandais, Isabelle Gardin, Laurent Mouchard, Pierre Vera, Su Ruan:
Using Belief Function Theory to Deal with Uncertainties and Imprecisions in Image Processing. Belief Functions 2012: 197-204 - [c2]D. P. Onoma, Su Ruan, Isabelle Gardin, G. A. Monnehan, Romain Modzelewski, Pierre Vera:
3D random walk based segmentation for lung tumor delineation in PET imaging. ISBI 2012: 1260-1263 - [c1]Benoît Lelandais, Isabelle Gardin, Laurent Mouchard, Pierre Vera, Su Ruan:
Segmentation of Biological Target Volumes on Multi-tracer PET Images Based on Information Fusion for Achieving Dose Painting in Radiotherapy. MICCAI (1) 2012: 545-552
Coauthor Index
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