Using Belief Function Theory to Deal with Uncertainties and Imprecisions in Image Processing. - Benoît Lelandais; Isabelle Gardin; Laurent Mouchard; Pierre Vera; Su Ruan (Belief Functions, 2012)

3D random walk based segmentation for lung tumor delineation in PET imaging. - D. P. Onoma; Su Ruan; Isabelle Gardin; G. A. Monnehan; Romain Modzelewski; Pierre Vera (ISBI, 2012)

Segmentation of Biological Target Volumes on Multi-tracer PET Images Based on Information Fusion for Achieving Dose Painting in Radiotherapy. - Benoît Lelandais; Isabelle Gardin; Laurent Mouchard; Pierre Vera; Su Ruan (MICCAI (1), 2012)

Segmentation of heterogeneous or small FDG PET positive tissue based on a 3D-locally adaptive random walk algorithm. - D. P. Onoma; Su Ruan; Sébastien Thureau; Lamyaa Nkhali; Romain Modzelewski; G. A. Monnehan; Pierre Vera; Isabelle Gardin (Comput. Medical Imaging Graph., 2014)

Dealing with uncertainty and imprecision in image segmentation using belief function theory. - Benoît Lelandais; Isabelle Gardin; Laurent Mouchard; Pierre Vera; Su Ruan (Int. J. Approx. Reason., 2014)

Eikonal-based region growing for efficient clustering. - Pierre Buyssens; Isabelle Gardin; Su Ruan; Abderrahim Elmoataz (Image Vis. Comput., 2014)

Fusion of multi-tracer PET images for dose painting. - Benoît Lelandais; Su Ruan; Thierry Denoeux; Pierre Vera; Isabelle Gardin (Medical Image Anal., 2014)

Segmentation of pelvic organs at risk using superpixels and graph diffusion in prostate radiotherapy. - Maxime Guinin; Su Ruan; Lamyaa Nkhali; Bernard Dubray; Laurent Massoptier; Isabelle Gardin (ISBI, 2015)

Monte-Carlo simulations of clinically realistic respiratory gated 18F-FDG PET: Application to lesion detectability and volume measurements. - S. Vauclin; Christian Michel; Irène Buvat; K. Doyeux; A. Edet-Sanson; Pierre Vera; Isabelle Gardin; S. Hapdey (Comput. Methods Programs Biomed., 2015)

3D Lymphoma Segmentation in PET/CT Images Based on Fully Connected CRFs. - Yuntao Yu; Pierre Decazes; Isabelle Gardin; Pierre Vera; Su Ruan (CMMI/RAMBO/SWITCH@MICCAI, 2017)

Feature selection for outcome prediction in oesophageal cancer using genetic algorithm and random forest classifier. - Paul Desbordes; Su Ruan; Romain Modzelewski; Vauclin Sébastien; Pierre Vera; Isabelle Gardin (Comput. Medical Imaging Graph., 2017)

Semi-automatic lymphoma detection and segmentation using fully conditional random fields. - Yuntao Yu; Pierre Decazes; Jérôme Lapuyade-Lahorgue; Isabelle Gardin; Pierre Vera; Su Ruan (Comput. Medical Imaging Graph., 2018)

Anthropometer3D: Automatic Multi-Slice Segmentation Software for the Measurement of Anthropometric Parameters from CT of PET/CT. - Pierre Decazes; David Tonnelet; Pierre Vera; Isabelle Gardin (J. Digit. Imaging, 2019)

Deep Learning Based Radiomics to Predict Treatment Response Using Multi-datasets. - 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 (MICAD, 2022)

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