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• 2023
• 
  [i2]
  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.:
  FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare.CoRRabs/2309.12325 (2023)
• 2022
• 
  [j9]
  David Wallis,Irène Buvat:
  Clever Hans effect found in a widely used brain tumour MRI dataset.Medical Image Anal.77:102368 (2022)
• 
  [c19]
  Louis Rebaud,Thibault Escobar,Fahad Khalid,Kibrom Girum,Irène Buvat:
  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.HECKTOR@MICCAI2022:121-134
• 
  [i1]
  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:
  Issues and Challenges in Applications of Artificial Intelligence to Nuclear Medicine - The Bethesda Report (AI Summit 2022).CoRRabs/2211.03783 (2022)

• 2019
• 
  [c18]
  Jessica Goya-Outi,Raphael Calmon,Fanny Orlhac,Cathy Philippe,Nathalie Boddaert,Stéphanie Puget,Irène Buvat,Vincent Frouin,Jacques Grill,Frédérique Frouin:
  Can Structural MRI Radiomics Predict DIPG Histone H3 Mutation and Patient Overall Survival at Diagnosis Time?BHI2019:1-4
• 2017
• 
  [j8]
  Mehdi Rahim,Bertrand Thirion,Danilo Bzdok,Irène Buvat,Gaël Varoquaux:
  Joint prediction of multiple scores captures better individual traits from brain images.NeuroImage158:145-154 (2017)
• 
  [c17]
  Hélène Urien,Irène Buvat,Nicolas Rougon,Michaël Soussan,Isabelle Bloch:
  Brain Lesion Detection in 3D PET Images Using Max-Trees and a New Spatial Context Criterion.ISMM2017:455-466
• 2016
• 
  [c16]
  Hélène Urien,Irène Buvat,Nicolas Rougon,Sarah Boughdad,Isabelle Bloch:
  3D PET-driven multi-phase segmentation of meningiomas in MRI.ISBI2016:407-410
• 2015
• 
  [j7]
  S. Vauclin,Christian Michel,Irène Buvat,K. Doyeux,A. Edet-Sanson,Pierre Vera,Isabelle Gardin,S. Hapdey:
  Monte-Carlo simulations of clinically realistic respiratory gated¹⁸F-FDG PET: Application to lesion detectability and volume measurements.Comput. Methods Programs Biomed.118(1):84-93 (2015)
• 2014
• 
  [j6]
  Vincent Jaouen,Paulo González,Simon Stute,Denis Guilloteau,Sylvie Chalon,Irène Buvat,Clovis Tauber:
  4DGVF : segmentation variationnelle pour images 3D multicomposantes.Traitement du Signal31(1-2):9-38 (2014)
• 
  [j5]
  Vincent Jaouen,Paulo González,Simon Stute,Denis Guilloteau,Sylvie Chalon,Irène Buvat,Clovis Tauber:
  Variational Segmentation of Vector-Valued Images With Gradient Vector Flow.IEEE Trans. Image Process.23(11):4773-4785 (2014)
• 
  [c15]
  Vincent Jaouen,Paulo González,Sylvie Chalon,Denis Guilloteau,Irène Buvat,Clovis Tauber:
  4DGVF segmentation of vector-valued images.ICIP2014:11-15
• 
  [c14]
  Vincent Jaouen,Paulo González,Denis Guilloteau,Irène Buvat,Clovis Tauber:
  4DGVF-based filtering of vector-valued images.ICIP2014:4592-4596
• 2013
• 
  [c13]
  Vincent Jaouen,Paulo González,Simon Stute,Denis Guilloteau,Irène Buvat,Clovis Tauber:
  Vector-based active surfaces for segmentation of dynamic PET images.ISBI2013:61-64
• 2012
• 
  [j4]
  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:
  Nonsupervised Ranking of Different Segmentation Approaches: Application to the Estimation of the Left Ventricular Ejection Fraction From Cardiac Cine MRI Sequences.IEEE Trans. Medical Imaging31(8):1651-1660 (2012)
• 2011
• 
  [c12]
  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:
  Comparison of different segmentation approaches without using gold standard. Application to the estimation of the left ventricle ejection fraction from cardiac cine MRI sequences.EMBC2011:2663-2666
• 2010
• 
  [j3]
  Carole Lartizien,Jean-Baptiste Aubin,Irène Buvat:
  Comparison of Bootstrap Resampling Methods for 3-D PET Imaging.IEEE Trans. Medical Imaging29(7):1442-1454 (2010)

• 2008
• 
  [j2]
  Anthonin Reilhac,Sandrine Tomeï,Irène Buvat,Christian Michel,Frank Keheren,Nicolas Costes:
  Simulation-based evaluation of OSEM iterative reconstruction methods in dynamic brain PET studies.NeuroImage39(1):359-368 (2008)
• 
  [c11]
  Hatem Necib,Michelle Dusart,Bruno Vanderlinden,Irène Buvat:
  Detection and characterization of the tumor change between two FDG PET scans using parametric imaging.ISBI2008:21-24
• 
  [c10]
  Perrine Tylski,Michelle Dusart,Bruno Vanderlinden,Irène Buvat:
  Assigning statistical significance to tumor changes in patient monitoring using FDG pet.ISBI2008:121-124
• 2004
• 
  [c9]
  Christophe Grova,Pierre Jannin,Irène Buvat,Habib Benali,Bernard Gibaud:
  Evaluation of Registration of Ictal SPECT/MRI Data Using Statistical Similarity Methods.MICCAI (1)2004:687-695
• 2003
• 
  [c8]
  Christophe Grova,Pierre Jannin,Irène Buvat,Habib Benali,Jean-Yves Bansard,Arnaud Biraben,Bernard Gibaud:
  From Anatomic Standardization Analysis of Perfusion SPECT Data to Perfusion Pattern Modelling.MICCAI (2)2003:328-335
• 2002
• 
  [c7]
  Bérengère Aubert-Broche,Christophe Grova,Pierre Jannin,Irène Buvat,Habib Benali,Bernard Gibaud:
  Detection of Inter-hemispheric Asymmetries of Brain Perfusion in SPECT.MICCAI (1)2002:500-507
• 2001
• 
  [c6]
  Christophe Grova,Arnaud Biraben,Jean-Marie Scarabin,Pierre Jannin,Irène Buvat,Habib Benali,Bernard Gibaud:
  A Methodology to Validate MRI/SPECT Registration Methods Using Realistic Simulated SPECT Data.MICCAI2001:275-282

• 1999
• 
  [c5]
  Irène Buvat,S. Hapdey,Habib Benali,Andrew Todd-Pokropek,Robert Di Paola:
  Spectral Factor Analysis for Multi-isotope Imaging in Nuclear Medicine.IPMI1999:442-447
• 
  [c4]
  Irène Buvat,Virginie Chameroy,Florent Aubry,Mélanie Pélégrini,Georges El Fakhri,Celine Huguenin,Habib Benali,Andrew Todd-Pokropek,Robert Di Paola:
  The need to develop guidelines for the evaluation of medical image processing procedures.Image Processing1999
• 1997
• 
  [c3]
  Irène Buvat,M. L. Bartlett,Amastasia N. Kitsiou,J. M. Carson,G. Srinivasan,K. A. Nour,C. C. Chen,V. Dilsizian,Stephen L. Bacharach:
  Using Spatial-Temporal Images for Analysis of Gated Cardiac Tomographic Data: The "M-Mode" Revisited.IPMI1997:85-98
• 
  [c2]
  Habib Benali,Irène Buvat,Jean-Luc Anton,Mélanie Pélégrini,M. Di Paola,Jacques Bittoun,Yves Burnod,Robert Di Paola:
  Space-Time Statistical Model for Functional MRI Image Sequences.IPMI1997:285-298
• 1994
• 
  [j1]
  Habib Benali,Irène Buvat,Frédérique Frouin,Jean Pierre Bazin,Robert Di Paola:
  Foundations of factor analysis of medical image sequences: a unified approach and some practical implications.Image Vis. Comput.12(6):375-385 (1994)
• 1993
• 
  [c1]
  Habib Benali,Irène Buvat,Frédérique Frouin,Jean Pierre Bazin,Robert Di Paola:
  Foundations of Factor Analysis of Medical Image Sequences: A Unified Approach and Some Practical Implications.IPMI1993:401-421

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