Irène Buvat

According to our database, Irène Buvat authored at least 29 papers between 1994 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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, Bishesh Khanal, Brigit Beger, Carol C. Wu, Celia Cintas, Curtis P. Langlotz, Daniel Rueckert, Deogratias Mzurikwao, Dimitrios I. Fotiadis, Doszhan Zhussupov, Enzo Ferrante, Erik Meijering, Eva Weicken, Fabio A. González, Folkert W. Asselbergs, Fred W. Prior, Gabriel P. Krestin, Gary S. Collins, Geletaw Sahle Tegenaw, Georgios Kaissis, Gianluca Misuraca, Gianna Tsakou, Girish Dwivedi, Haridimos Kondylakis, Harsha Jayakody, Henry C. Woodruff, Hugo J. W. L. Aerts, Ian Walsh, Ioanna Chouvarda, Irène Buvat, Islem Rekik, James S. Duncan, Jayashree Kalpathy-Cramer, Jihad Zahir, Jinah Park, John Mongan, Judy W. Gichoya, Julia A. Schnabel, et al.

CoRR, 2023

2022

Clever Hans effect found in a widely used brain tumour MRI dataset.

David Wallis, Irène Buvat

Medical Image Anal., 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, Richard L. Wahl

CoRR, 2022

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

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022

2019

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

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

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

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

Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2017

2016

3D PET-driven multi-phase segmentation of meningiomas in MRI.

Hélène Urien, Irène Buvat, Nicolas Rougon, Sarah Boughdad, Isabelle Bloch

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

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

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

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

4DGVF-based filtering of vector-valued images.

Vincent Jaouen, Paulo González, Denis Guilloteau, Irène Buvat, Clovis Tauber

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

4DGVF segmentation of vector-valued images.

Vincent Jaouen, Paulo González, Sylvie Chalon, Denis Guilloteau, Irène Buvat, Clovis Tauber

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013

Vector-based active surfaces for segmentation of dynamic PET images.

Vincent Jaouen, Paulo González, Simon Stute, Denis Guilloteau, Irène Buvat, Clovis Tauber

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012

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, Elodie Roullot, Laurent Sarry, Christophe Tilmant, Mireille Garreau, Frédérique Frouin

IEEE Trans. Medical Imaging, 2012

2011

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, Laurent Sarry, Patrick Clarysse, Alain De Cesare, Alain Lalande, Frédérique Frouin

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010

Comparison of Bootstrap Resampling Methods for 3-D PET Imaging.

Carole Lartizien, Jean-Baptiste Aubin, Irène Buvat

IEEE Trans. Medical Imaging, 2010

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

NeuroImage, 2008

Assigning statistical significance to tumor changes in patient monitoring using FDG pet.

Perrine Tylski, Michelle Dusart, Bruno Vanderlinden, Irène Buvat

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Detection and characterization of the tumor change between two FDG PET scans using parametric imaging.

Hatem Necib, Michelle Dusart, Bruno Vanderlinden, Irène Buvat

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2004

Evaluation of Registration of Ictal SPECT/MRI Data Using Statistical Similarity Methods.

Christophe Grova, Pierre Jannin, Irène Buvat, Habib Benali, Bernard Gibaud

Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

2003

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003

2002

Detection of Inter-hemispheric Asymmetries of Brain Perfusion in SPECT.

Bérengère Aubert-Broche, Christophe Grova, Pierre Jannin, Irène Buvat, Habib Benali, Bernard Gibaud

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2002

2001

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001

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

Proceedings of the Medical Imaging 1999: Image Processing, 1999

Spectral Factor Analysis for Multi-isotope Imaging in Nuclear Medicine.

Irène Buvat, S. Hapdey, Habib Benali, Andrew Todd-Pokropek, Robert Di Paola

Proceedings of the Information Processing in Medical Imaging, 1999

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

Proceedings of the Information Processing in Medical Imaging, 1997

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

Proceedings of the Information Processing in Medical Imaging, 1997

1994

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