Foundations of factor analysis of medical image sequences: a unified approach and some practical implications. - Habib Benali; Irène Buvat; Frédérique Frouin; Jean Pierre Bazin; Robert Di Paola (Image Vis. Comput., 1994)

Space-Time Statistical Model for Functional MRI Image Sequences. - Habib Benali; Irène Buvat; Jean-Luc Anton; Mélanie Pélégrini; M. Di Paola; Jacques Bittoun; Yves Burnod; Robert Di Paola (IPMI, 1997)

Using Spatial-Temporal Images for Analysis of Gated Cardiac Tomographic Data: The "M-Mode" Revisited. - Irène Buvat; M. L. Bartlett; Amastasia N. Kitsiou; J. M. Carson; G. Srinivasan; K. A. Nour; C. C. Chen; V. Dilsizian; Stephen L. Bacharach (IPMI, 1997)

Spectral Factor Analysis for Multi-isotope Imaging in Nuclear Medicine. - Irène Buvat; S. Hapdey; Habib Benali; Andrew Todd-Pokropek; Robert Di Paola (IPMI, 1999)

The need to develop guidelines for the evaluation of medical image processing procedures. - Irène Buvat; Virginie Chameroy; Florent Aubry; Mélanie Pélégrini; Georges El Fakhri; Celine Huguenin; Habib Benali; Andrew Todd-Pokropek; Robert Di Paola (Image Processing, 1999)

A Methodology to Validate MRI/SPECT Registration Methods Using Realistic Simulated SPECT Data. - Christophe Grova; Arnaud Biraben; Jean-Marie Scarabin; Pierre Jannin; Irène Buvat; Habib Benali; Bernard Gibaud (MICCAI, 2001)

Detection of Inter-hemispheric Asymmetries of Brain Perfusion in SPECT. - Bérengère Aubert-Broche; Christophe Grova; Pierre Jannin; Irène Buvat; Habib Benali; Bernard Gibaud (MICCAI (1), 2002)

From Anatomic Standardization Analysis of Perfusion SPECT Data to Perfusion Pattern Modelling. - Christophe Grova; Pierre Jannin; Irène Buvat; Habib Benali; Jean-Yves Bansard; Arnaud Biraben; Bernard Gibaud (MICCAI (2), 2003)

Evaluation of Registration of Ictal SPECT/MRI Data Using Statistical Similarity Methods. - Christophe Grova; Pierre Jannin; Irène Buvat; Habib Benali; Bernard Gibaud (MICCAI (1), 2004)

Detection and characterization of the tumor change between two FDG PET scans using parametric imaging. - Hatem Necib; Michelle Dusart; Bruno Vanderlinden; Irène Buvat (ISBI, 2008)

Assigning statistical significance to tumor changes in patient monitoring using FDG pet. - Perrine Tylski; Michelle Dusart; Bruno Vanderlinden; Irène Buvat (ISBI, 2008)

Simulation-based evaluation of OSEM iterative reconstruction methods in dynamic brain PET studies. - Anthonin Reilhac; Sandrine Tomeï; Irène Buvat; Christian Michel; Frank Keheren; Nicolas Costes 001 (NeuroImage, 2008)

Comparison of Bootstrap Resampling Methods for 3-D PET Imaging. - Carole Lartizien; Jean-Baptiste Aubin; Irène Buvat (IEEE Trans. Medical Imaging, 2010)

Comparison of different segmentation approaches without using gold standard. Application to the estimation of the left ventricle ejection fraction from cardiac cine MRI sequences. - Jessica Lebenberg; Irène Buvat; Mireille Garreau; Christopher Casta; Constantin Constantinides; Jean Cousty; Alexandre Cochet; Stéphanie Jehan-Besson; Christophe Tilmant; Muriel Lefort; Elodie Roullot; Laurent Najman; et al. (EMBC, 2011)

Nonsupervised Ranking of Different Segmentation Approaches: Application to the Estimation of the Left Ventricular Ejection Fraction From Cardiac Cine MRI Sequences. - Jessica Lebenberg; Irène Buvat; Alain Lalande; Patrick Clarysse; Christopher Casta; Alexandre Cochet; Constantin Constantinides; Jean Cousty; Alain De Cesare; Stéphanie Jehan-Besson; Muriel Lefort; Laurent Najman; et al. (IEEE Trans. Medical Imaging, 2012)

Vector-based active surfaces for segmentation of dynamic PET images. - Vincent Jaouen; Paulo González; Simon Stute; Denis Guilloteau; Irène Buvat; Clovis Tauber (ISBI, 2013)

4DGVF segmentation of vector-valued images. - Vincent Jaouen; Paulo González; Sylvie Chalon; Denis Guilloteau; Irène Buvat; Clovis Tauber (ICIP, 2014)

4DGVF-based filtering of vector-valued images. - Vincent Jaouen; Paulo González; Denis Guilloteau; Irène Buvat; Clovis Tauber (ICIP, 2014)

4DGVF : segmentation variationnelle pour images 3D multicomposantes. - Vincent Jaouen; Paulo González; Simon Stute; Denis Guilloteau; Sylvie Chalon; Irène Buvat; Clovis Tauber (Traitement du Signal, 2014)

Variational Segmentation of Vector-Valued Images With Gradient Vector Flow. - Vincent Jaouen; Paulo González; Simon Stute; Denis Guilloteau; Sylvie Chalon; Irène Buvat; Clovis Tauber (IEEE Trans. Image Process., 2014)

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 PET-driven multi-phase segmentation of meningiomas in MRI. - Hélène Urien; Irène Buvat; Nicolas Rougon; Sarah Boughdad; Isabelle Bloch (ISBI, 2016)

Brain Lesion Detection in 3D PET Images Using Max-Trees and a New Spatial Context Criterion. - Hélène Urien; Irène Buvat; Nicolas Rougon; Michaël Soussan; Isabelle Bloch (ISMM, 2017)

Joint prediction of multiple scores captures better individual traits from brain images. - Mehdi Rahim; Bertrand Thirion; Danilo Bzdok; Irène Buvat; Gaël Varoquaux (NeuroImage, 2017)

Can Structural MRI Radiomics Predict DIPG Histone H3 Mutation and Patient Overall Survival at Diagnosis Time? - Jessica Goya-Outi; Raphael Calmon; Fanny Orlhac; Cathy Philippe; Nathalie Boddaert; Stéphanie Puget; Irène Buvat; Vincent Frouin; Jacques Grill; Frédérique Frouin (BHI, 2019)

Simplicity Is All You Need: Out-of-the-Box nnUNet Followed by Binary-Weighted Radiomic Model for Segmentation and Outcome Prediction in Head and Neck PET/CT. - Louis Rebaud; Thibault Escobar; Fahad Khalid; Kibrom Girum; Irène Buvat (HECKTOR@MICCAI, 2022)

Issues and Challenges in Applications of Artificial Intelligence to Nuclear Medicine - The Bethesda Report (AI Summit 2022). - Arman Rahmim; Tyler J. Bradshaw; Irène Buvat; Joyita Dutta; Abhinav K. Jha; Paul E. Kinahan; Quanzheng Li; Chi Liu; Melissa D. McCradden; Babak Saboury; Eliot L. Siegel; John J. Sunderland; et al. (CoRR, 2022)

Clever Hans effect found in a widely used brain tumour MRI dataset. - David Wallis; Irène Buvat (Medical Image Anal., 2022)

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare. - Karim Lekadir; Aasa Feragen; Abdul Joseph Fofanah; Alejandro F. Frangi; Alena Buyx; Anais Emelie; Andrea Lara; Antonio R. Porras; An-Wen Chan; Arcadi Navarro; Ben Glocker; Benard Ohene Botwe; et al. (CoRR, 2023)