I. Buvat

I. Buvat, R. Leconte, M. Bentourkia, 1999, 1999 IEEE Nuclear Science Symposium. Conference Record. 1999 Nuclear Science Symposium and Medical Imaging Conference (Cat. No.99CH37019).

An [18F]FDG-PET/CT deep learning method for fully automated detection of pathological mediastinal lymph nodes in lung cancer patients

M. Soussan, I. Buvat, D. Wallis, 2021, European Journal of Nuclear Medicine and Molecular Imaging.

DGVF-based filtering of vector-valued images

I. Buvat, D. Guilloteau, V. Jaouen, 2019 .

Ultrasonics, Ferroelectrics, and Frequency Control

Nico Karssemeijer, Milan Sonka, Moshe Kam, 2011 .

Title : Effects of tracer uptake time in non-small cell lung cancer 18 F-FDG PET radiomics Running title : Effects of time on NSCLC PET radiomics

I. Buvat, E. Smit, D. V. García, 2021 .

Effects of Tracer Uptake Time in Non–Small Cell Lung Cancer 18F-FDG PET Radiomics

I. Buvat, R. Boellaard, E. Smit, 2021, Journal of Nuclear Medicine.

The Future of Nuclear Medicine, Molecular Imaging, and Theranostics.

I. Buvat, D. Mankoff, M. Graham, 2020, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

Improved 3D tumour definition and quantification of uptake in simulated lung tumours using deep learning

I. Buvat, J. Schnabel, V. Goh, 2022, Physics in medicine and biology.

Deep-Learning 18F-FDG Uptake Classification Enables Total Metabolic Tumor Volume Estimation in Diffuse Large B-Cell Lymphoma

I. Buvat, L. Vercellino, B. Spottiswoode, 2020, The Journal of Nuclear Medicine.

New Approaches in Characterization of Lesions Dissemination in DLBCL Patients on Baseline PET/CT

I. Buvat, L. Vercellino, O. Casasnovas, 2021, Cancers.

Comment on Ibrahim et al. The Effects of In-Plane Spatial Resolution on CT-Based Radiomic Features’ Stability with and without ComBat Harmonization. Cancers 2021, 13, 1848

Fanny Orlhac, I. Buvat, 2021, Cancers.

Strategies to Inhibit ABCB1- and ABCG2-Mediated Efflux Transport of Erlotinib at the Blood–Brain Barrier: A PET Study on Nonhuman Primates

M. Soussan, I. Buvat, O. Langer, 2017, The Journal of Nuclear Medicine.

Exploring the relation between MR ZTE intensity and tissue density: Application to MR attenuation correction in PET/MR

M. Soussan, I. Buvat, C. Nioche, 2016, 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD).

Assessment of a fully 3D Monte Carlo reconstruction method for preclinical PET with iodine-124

I. Buvat, M. Moreau, F. Kraeber-Bodéré, 2015, Physics in medicine and biology.

What is the best index to characterize early tumor response in FDG PET

I. Buvat, P. Flamen, B. Vanderlinden, 2011 .

Using simulations of the detector performance for enhanced image reconstruction in molecular imaging

I. Buvat, 2016 .

GATE: a simulation toolkit for PET and SPECT.

D. Visvikis, I. Buvat, S. Glick, 2004, Physics in medicine and biology.

Comparison between 2D and 3D dosimetry protocols in 90Y-ibritumomab tiuxetan radioimmunotherapy of patients with non-Hodgkin's lymphoma.

I. Buvat, H. Tilly, I. Gardin, 2008, Cancer biotherapy & radiopharmaceuticals.

Comparison Between 2 D and 3 D Dosimetry Protocols in 90 Y-Ibritumomab Tiuxetan Radioimmunotherapy of Patients with Non-Hodgkin ’ s Lymphoma

I. Buvat, H. Tilly, I. Gardin, 2008 .

AB0652 Pet/mr in large-vessel vasculitis: clinical value for the diagnosis and assessment of disease activity

M. Soussan, I. Buvat, A. Mékinian, 2018, Vasculitis.

Deterministic spectral clustering for segmentation of dynamic PET images

Irène Buvat, Sandrine Mouysset, Laurent Galineau, 2012 .

Clinical comparison of HiRez versus non-HiRez LSO crystal sampling for lesion detection and SUV quantification

I. Buvat, S. Hapdey, I. Gardin, 2006, 2006 IEEE Nuclear Science Symposium Conference Record.

Imaging translocator protein expression with positron emission tomography

I. Buvat, H. Boutin, C. Wimberley, 2021, European Journal of Nuclear Medicine and Molecular Imaging.

Target apex-seeking in factor analysis of medical image sequences.

I. Buvat, H. Benali, J. Bazin, 1993, Physics in medicine and biology.

A spline-regularized minimal residual algorithm for iterative attenuation correction in SPECT.

I. Buvat, H. Benali, P. Grangeat, 1999, Physics in medicine and biology.

Two-dimensional statistical model for regularized backprojection in SPECT.

I. Buvat, H. Benali, G. El Fakhri, 1998, Physics in medicine and biology.

GATE: a simulation toolkit for PET and SPECT

D. Visvikis, I. Buvat, S. Glick, 2004, Physics in medicine and biology.

Nuclear Medicine and Artificial Intelligence: Best Practices for Evaluation (the RELAINCE Guidelines)

Abhinav K. Jha, M. Hatt, I. Buvat, 2022, The Journal of Nuclear Medicine.

Prognostic value of lesion dissemination in doxorubicin, bleomycin, vinblastine, and dacarbazine‐treated, interimPET‐negative classical Hodgkin Lymphoma patients: A radio‐genomic study

I. Buvat, F. Merli, A. Ciarrocchi, 2022, Hematological Oncology.

Imaging the neuroimmune response to alcohol exposure in adolescent baboons: a TSPO PET study using 18F‐DPA‐714

I. Buvat, C. Leroy, B. Kuhnast, 2018, Addiction biology.

A Preliminary Study of Quantitative Protocols in Indium 111 SPECT Using Computational Simulations and Phantoms

I. Buvat, I. Gardin, P. Vera, 2010, IEEE Transactions on Nuclear Science.

A comparative study of scatter correction methods for scintigraphic images

I. Buvat, H. Benali, R. Paola, 1994, European Journal of Nuclear Medicine.

Deep learning FDG uptake classification enables total metabolic tumor volume estimation in diffuse large B-cell lymphoma

I. Buvat, L. Vercellino, B. Spottiswoode, 2020 .

Impact of endothelial TSPO on the quantification of 18 F-DPA-714

I. Buvat, P. Remy, B. Bodini, 2017 .

Curative high‐dose reirradiation for patients with recurrent head and neck squamous cell carcinoma using IMRT or proton therapy: Outcomes and analysis of patterns of failure

I. Buvat, A. Beddok, O. Choussy, 2022, Head & neck.

Evaluation of TSPO PET imaging, a marker of glial activation, to study the neuroimmune footprints of morphine exposure and withdrawal.

I. Buvat, R. Boisgard, B. Hosten, 2017, Drug and alcohol dependence.

Longitudinal positron emission tomography imaging of glial cell activation in a mouse model of mesial temporal lobe epilepsy: Toward identification of optimal treatment windows

I. Buvat, R. Boisgard, B. Jego, 2018, Epilepsia.

[18F]-FDG PET and MRI radiomic signatures to predict the risk and the location of tumor recurrence after re-irradiation in head and neck cancer

Fanny Orlhac, I. Buvat, C. Nioche, 2022, European Journal of Nuclear Medicine and Molecular Imaging.

Report of the 6th International Workshop on PET in lymphoma

I. Buvat, W. Oyen, B. Cheson, 2017, Leukemia & lymphoma.

A non-parametric bootstrap approach for analysing the statistical properties of SPECT and PET images

I. Buvat, Irène Buvat, 2002, Physics in medicine and biology.

Implications of dual-energy-window (DEW) scatter correction inaccuracies for 111In quantitative geometric mean imaging.

I. Buvat, S. Bacharach, W. Barker, 1997, Nuclear medicine communications.

Using a Lymphoma and Lung Cancer Trained Neural Network to Predict the Outcome for Breast Cancer on FDG PET/CT Data

I. Buvat, L. Umutlu, C. Rischpler, 2021 .

Simulation-based and experimental evaluation of HiSens, a new CdZnTe gamma-camera architecture

I. Buvat, V. Rebuffel, L. Verger, 2008, 2008 IEEE Nuclear Science Symposium Conference Record.

User guide Dynamic Susceptibility Contrast-enhanced ( DSC ) MR — LIFEx —

I. Buvat, F. Frouin, C. Nioche, 2020 .

A review of the use and potential of the GATE Monte Carlo simulation code for radiation therapy and dosimetry applications.

George Loudos, Irène Buvat, David Sarrut, 2014, Medical physics.

GATE V6: a major enhancement of the GATE simulation platform enabling modelling of CT and radiotherapy

S Stute, I Buvat, D Visvikis, 2011, Physics in medicine and biology.

Radiomics in PET Imaging:: A Practical Guide for Newcomers.

Fanny Orlhac, I. Buvat, A. Rahmim, 2021, PET clinics.

The need to develop guidelines for the evaluation of medical image processing procedures

Florent Aubry, Irène Buvat, Habib Benali, 1999, Medical Imaging.

Country : Switzerland Final Report Summary-ENVISION ( European NoVel Imaging Systems for ION therapy )

I. Buvat, G. Bueno, O. Deniz, 2019 .

Monte Carlo simulations in SPET and PET.

I Buvat, I Castiglioni, I. Buvat, 2002, The quarterly journal of nuclear medicine : official publication of the Italian Association of Nuclear Medicine (AIMN) [and] the International Association of Radiopharmacology.

A score combining baseline neutrophilia and primary tumor SUVpeak measured from FDG PET is associated with outcome in locally advanced cervical cancer

C. Haie-meder, Fanny Orlhac, I. Buvat, 2018, European Journal of Nuclear Medicine and Molecular Imaging.

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

Irène Buvat, Hatem Necib, Michelle Dusart, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Monitoring therapeutic efficacy of sunitinib using [18F]FDG and [18F]FMISO PET in an immunocompetent model of luminal B (HER2-positive)-type mammary carcinoma

I. Buvat, R. Boisgard, B. Tavitian, 2015, BMC Cancer.

Can Structural MRI Radiomics Predict DIPG Histone H3 Mutation and Patient Overall Survival at Diagnosis Time?

Vincent Frouin, Frédérique Frouin, Irène Buvat, 2019, 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

4DGVF : segmentation variationnelle pour images 3D multicomposantes

Irène Buvat, Denis Guilloteau, Clovis Tauber, 2014, Traitement du Signal.

4DGVF segmentation of vector-valued images

Irène Buvat, Denis Guilloteau, Clovis Tauber, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

4DGVF-based filtering of vector-valued images

Irène Buvat, Denis Guilloteau, Clovis Tauber, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Variational Segmentation of Vector-Valued Images With Gradient Vector Flow

Irène Buvat, Denis Guilloteau, Clovis Tauber, 2014, IEEE Transactions on Image Processing.

4-D Gradient Vector Flow : segmentation par surface active pour images multi-composantes

Denis Guilloteau, Clovis Tauber, Vincent Jaouen, 2013 .

Vector-based active surfaces for segmentation of dynamic PET images

Irène Buvat, Denis Guilloteau, Clovis Tauber, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Issues and Challenges in Applications of Artificial Intelligence to Nuclear Medicine - The Bethesda Report (AI Summit 2022)

Abhinav K. Jha, Paul Kinahan, I. Buvat, 2022, ArXiv.

A downsampling strategy to assess the predictive value of radiomic features

Irène Buvat, Frédérique Frouin, Anne-Sophie Dirand, 2019, Scientific Reports.

Dosimetry in nuclear medicine therapy: what are the specifics in image quantification for dosimetry?

I Buvat, M Bardiès, I. Buvat, 2011, The quarterly journal of nuclear medicine and molecular imaging : official publication of the Italian Association of Nuclear Medicine (AIMN) [and] the International Association of Radiopharmacology (IAR), [and] Section of the Society of....

Quantitative accuracy of dopaminergic neurotransmission imaging with (123)I SPECT.

Irène Buvat, Jacques Darcourt, Sébastien Hapdey, 2003, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

How can we combat multicenter variability in MR radiomics? Validation of a correction procedure

Fanny Orlhac, I. Buvat, N. Ayache, 2020, European Radiology.

LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity.

Irène Buvat, Jessica Goya-Outi, Frédérique Frouin, 2018, Cancer research.

Monte Carlo simulations of respiratory gated 18F-FDG PET for the assessment of volume measurement methods

Christian Michel, Pierre Vera, Isabelle Gardin, 2008, 2008 IEEE Nuclear Science Symposium Conference Record.

18F-FDG PET Dissemination Features in Diffuse Large B-Cell Lymphoma Are Predictive of Outcome

I. Buvat, O. Casasnovas, J. Clerc, 2019, The Journal of Nuclear Medicine.

Clinical and technical challenges of cancer reirradiation: Words of wisdom.

I. Buvat, A. Beddok, P. Verrelle, 2022, Critical reviews in oncology/hematology.

18F-FDG PET Maximum-Intensity Projections and Artificial Intelligence: A Win-Win Combination to Easily Measure Prognostic Biomarkers in DLBCL Patients

I. Buvat, L. Vercellino, O. Casasnovas, 2022, The Journal of Nuclear Medicine.

Risk stratification in diffuse large B cell lymphoma using lesion dissemination and metabolic tumor burden calculated from baseline PET/CT.

I. Buvat, L. Vercellino, O. Casasnovas, 2020, Annals of oncology : official journal of the European Society for Medical Oncology.

Comparison of PET metabolic indices for the early assessment of tumour response in metastatic colorectal cancer patients treated by polychemotherapy

I. Buvat, P. Flamen, B. Vanderlinden, 2012, European Journal of Nuclear Medicine and Molecular Imaging.

Imaging the Impact of the P-Glycoprotein (ABCB1) Function on the Brain Kinetics of Metoclopramide

I. Buvat, R. Boisgard, S. Stute, 2016, The Journal of Nuclear Medicine.

New PET technologies – embracing progress and pushing the limits

I. Buvat, S. Cherry, C. Levin, 2021, European Journal of Nuclear Medicine and Molecular Imaging.

Joint prediction of multiple scores captures better individual traits from brain images

Irène Buvat, Danilo Bzdok, Gaël Varoquaux, 2017, NeuroImage.

A Guide to ComBat Harmonization of Imaging Biomarkers in Multicenter Studies

Fanny Orlhac, I. Buvat, R. Boellaard, 2021, The Journal of Nuclear Medicine.

Scatter correction in scintigraphy: the state of the art

A. Todd-Pokropek, I. Buvat, H. Benali, 1994, European Journal of Nuclear Medicine.

Handbook of Particle Detection and Imaging

Claus Grupen, Irene Buvat, I. Buvat, 2012 .

Just another “Clever Hans”? Neural networks and FDG PET-CT to predict the outcome of patients with breast cancer

I. Buvat, L. Umutlu, K. Herrmann, 2021, European Journal of Nuclear Medicine and Molecular Imaging.

Influence of age on radiomic features in 18F-FDG PET in normal breast tissue and in breast cancer tumors

Fanny Orlhac, I. Buvat, C. Nioche, 2018, Oncotarget.

The impact of choice of reference charts and equations on the assessment of fetal biometry

I Buvat, I. Buvat, M. Duyme, 2005, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.

Potentials and caveats of AI in Hybrid Imaging.

Irène Buvat, Otto Muzik, Luc Bidaut, 2020, Methods.

Monte Carlo simulation in PET and SPECT instrumentation using GATE

Rik Van de Walle, Irène Buvat, Claude Comtat, 2004 .

Comparative assessment of nine scatter correction methods based on spectral analysis using Monte Carlo simulations.

I Buvat, A Todd-Pokropek, R Di Paola, 1995, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

A new correction method for gamma camera non-uniformity due to energy response variability.

I Buvat, A Todd-Pokropek, R Di Paola, 1995, Physics in medicine and biology.

Comparison of Bootstrap Resampling Methods for 3-D PET Imaging

Carole Lartizien, Irène Buvat, Jean-Baptiste Aubin, 2010, IEEE Transactions on Medical Imaging.

A radiomics pipeline dedicated to Breast MRI: validation on a multi-scanner phantom study

Fanny Orlhac, I. Buvat, F. Frouin, 2020, Magnetic Resonance Materials in Physics, Biology and Medicine.

A "hybrid" method for measuring myocardial wall thickening from gated PET/SPECT images.

I Buvat, S L Bacharach, I. Buvat, 1997, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

Improved Clinical Parametric Imaging Using List-Mode Reconstruction via Resolution Modeling

C. Comtat, R. Trebossen, I. Buvat, 2006, 2006 IEEE Nuclear Science Symposium Conference Record.

Joint estimation of dynamic PET images and temporal basis functions using fully 4D ML-EM

Irène Buvat, Claude Comtat, Andrew J Reader, 2006, Physics in medicine and biology.

List-mode reconstruction with system modeling derived from projections

C. Comtat, R. Trebossen, A.J. Reader, 2005, IEEE Nuclear Science Symposium Conference Record, 2005.

Factor Analysis of Medical Image Sequences (FAMIS): Fundamental principles and applications

Frédérique Frouin, J. P. Bazin, Irène Buvat, 1994 .

PET-based dose delivery verification in proton therapy: a GATE based simulation study of five PET system designs in clinical conditions

Irène Buvat, David Sarrut, Pierre Gueth, 2013, Physics in medicine and biology.

Fluorine 18 fluorodeoxyglucose PET/CT volume-based indices in locally advanced non-small cell lung cancer: prediction of residual viable tumor after induction chemotherapy.

M. Soussan, Fanny Orlhac, V. Eder, 2014, Radiology.

Prognostic implications of volume-based measurements on FDG PET/CT in stage III non-small-cell lung cancer after induction chemotherapy

M. Soussan, M. Boubaya, V. Eder, 2013, European Journal of Nuclear Medicine and Molecular Imaging.

Variability and Uncertainty of 18F-FDG PET Imaging Protocols for Assessing Inflammation in Atherosclerosis: Suggestions for Improvement

Pauline Huet, Samuel Burg, Dominique Le Guludec, 2015, The Journal of Nuclear Medicine.

Review and current status of SPECT scatter correction

Irène Buvat, Freek J Beekman, Brian F Hutton, 2011, Physics in medicine and biology.

Fibroblast heterogeneity in solid tumors: from single cell analysis to whole-body imaging.

I. Buvat, F. Bidard, F. Mechta-Grigoriou, 2022, Seminars in cancer biology.

P-Glycoprotein (ABCB1) Inhibits the Influx and Increases the Efflux of 11C-Metoclopramide Across the Blood–Brain Barrier: A PET Study on Nonhuman Primates

I. Buvat, O. Langer, M. Bauer, 2018, The Journal of Nuclear Medicine.

Imaging Probes and Modalities for the Study of Solute Carrier O (SLCO)-Transport Function In Vivo.

I. Buvat, X. Declèves, S. Cisternino, 2017, Journal of pharmaceutical sciences.

Introducing improved voxel navigation and fictitious interaction tracking in GATE for enhanced efficiency.

Irène Buvat, Simon Stute, John Apostolakis, 2009, Physics in medicine and biology.

Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development

Abhinav K. Jha, I. Buvat, A. Rahmim, 2021, The Journal of Nuclear Medicine.

PET/MRI in large-vessel vasculitis: clinical value for diagnosis and assessment of disease activity

M. Soussan, I. Buvat, A. Mékinian, 2019, Scientific Reports.

The T.R.U.E. Checklist for Identifying Impactful Artificial Intelligence–Based Findings in Nuclear Medicine: Is It True? Is It Reproducible? Is It Useful? Is It Explainable?

Fanny Orlhac, I. Buvat, 2021, The Journal of Nuclear Medicine.

Monte-Carlo simulations of clinically realistic respiratory gated 18F-FDG PET: Application to lesion detectability and volume measurements

Irène Buvat, Pierre Vera, Christian Michel, 2015, Comput. Methods Programs Biomed..

Monte Carlo simulations of clinical PET and SPECT scans: impact of the input data on the simulated images

S Stute, I Buvat, B Hutton, 2011, Physics in medicine and biology.

Implementation of angular response function modeling in SPECT simulations with GATE

E C Frey, B M W Tsui, I Buvat, 2010, Physics in medicine and biology.

Monte Carlo Simulations in Nuclear Medicine Imaging

Irène Buvat, Steven Staelens, I. Buvat, 2009 .

Evolution of the GATE project: new results and developments

Irène Buvat, Sebastien Jan, Steven Staelens, 2007 .

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

Irène Buvat, Bernard Gibaud, Pierre Jannin, 2004, MICCAI.

Unified description and validation of Monte Carlo simulators in PET

M.C. Gilardi, I. Buvat, I. Castiglioni, 2003, 2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515).

Nuclear Medicine from a Novel Perspective: Buvat and Weber Talk with OpenAI’s ChatGPT

I. Buvat, W. Weber, 2023, The Journal of Nuclear Medicine.

Nonsupervised Ranking of Different Segmentation Approaches: Application to the Estimation of the Left Ventricular Ejection Fraction From Cardiac Cine MRI Sequences

Frédérique Frouin, Patrick Clarysse, Jean Cousty, 2012, IEEE Transactions on Medical Imaging.

Simulation-based evaluation and optimization of a new CdZnTe gamma-camera architecture (HiSens)

Irène Buvat, Véronique Rebuffel, Charlotte Robert, 2010, Physics in medicine and biology.

European Association of Nuclear Medicine (EANM) Focus 4 consensus recommendations: molecular imaging and therapy in haematological tumours.

I. Buvat, R. Boellaard, B. Cheson, 2023, The Lancet. Haematology.

Is there an optimal method for measuring baseline metabolic tumor volume in diffuse large B cell lymphoma?

I. Buvat, O. Casasnovas, A. Versari, 2018, European Journal of Nuclear Medicine and Molecular Imaging.

Comparison of four scatter correction methods for patient whole‐body imaging during therapeutic trials with iodine‐131

Manuel Bardiès, Grégory Delpon, Ludovic Ferrer, 2002, Cancer.

Extraction of functional volumes from medical dynamic volumetric data sets.

I Buvat, F Frouin, R Di Paola, 1993, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

Predictors of toxicity after curative reirradiation with intensity modulated radiotherapy or proton therapy for recurrent head and neck carcinoma: new dose constraints for pharyngeal constrictors muscles and oral cavity.

I. Buvat, A. Beddok, O. Choussy, 2023, Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al].

Monitoring tumour response during chemo-radiotherapy: a parametric method using FDG-PET/CT images in patients with oesophageal cancer

Irène Buvat, Pierre Michel, Pierre Vera, 2014, EJNMMI Research.

Experimental characterisation of a proton kernel model for pencil beam scanning techniques.

I. Buvat, J. Herault, A. Mazal, 2019, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

Monte Carlo calculations of positron emitter yields in proton radiotherapy

F Verhaegen, I Buvat, K Parodi, 2012, Physics in medicine and biology.

Lesion-based detection of early chemosensitivity using serial static FDG PET/CT in metastatic colorectal cancer

I. Buvat, P. Flamen, B. Vanderlinden, 2012, European Journal of Nuclear Medicine and Molecular Imaging.

Experimental and analytical comparative study of optical coefficient of fresh and frozen rat tissues

Sebastien Jan, Darine Abi Haidar, Vesna Cuplov, 2013, Journal of biomedical optics.

Reply: Feasibility of Automated Partial-Volume Correction of SUVs in Current PET/CT Scanners: Can Manufacturers Provide Integrated, Ready-to-Use Software?

I. Buvat, S. Bacharach, M. Soret, 2008, Journal of Nuclear Medicine.

Acute Morphine Exposure Increases the Brain Distribution of [18F]DPA-714, a PET Biomarker of Glial Activation in Nonhuman Primates

I. Buvat, C. Leroy, M. Bottlaender, 2016, The international journal of neuropsychopharmacology.

CAMIS: clustering algorithm for medical image sequences using a mutual nearest neighbor criterion

Robert Di Paola, Irene Buvat, Habib Benali, 1994, Optics & Photonics.

Correction for Magnetic Field Inhomogeneities and Normalization of Voxel Values Are Needed to Better Reveal the Potential of MR Radiomic Features in Lung Cancer

Frédérique Frouin, Pierre-Yves Brillet, Irène Buvat, 2020, Frontiers in Oncology.

Optimization of a parallel hole collimator/CdZnTe gamma-camera architecture for scintimammography.

Irène Buvat, Véronique Rebuffel, Charlotte Robert, 2011, Medical physics.

Chapter 13. Single Photon Emission Computed Tomography

I. Buvat, P. Franken, Jacques Darcourt and, 2010 .

Statistical distribution of factors and factor images in factor analysis of medical image sequences.

I. Buvat, H. Benali, R. Di Paola, 1998, Physics in medicine and biology.

Impact of attenuation correction by simultaneous emission/transmission tomography on visual assessment of 201Tl myocardial perfusion images.

I Buvat, J Darcourt, P Desvignes, 1999, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

A methodology for generating normal and pathological brain perfusion SPECT images for evaluation of MRI/SPECT fusion methods: application in epilepsy.

I Buvat, B Gibaud, H Benali, 2003, Physics in medicine and biology.

From Anatomic Standardization Analysis of Perfusion SPECT Data to Perfusion Pattern Modelling

Irène Buvat, Bernard Gibaud, Pierre Jannin, 2003, MICCAI.

Detection of Inter-hemispheric Asymmetries of Brain Perfusion in SPECT

Bernard Gibaud, Irène Buvat, Pierre Jannin, 2002, MICCAI.

Medical Physics and Imaging–A Timely Perspective

I. Buvat, U. Birk, T. Beyer, 2021, Frontiers in Physics.

EJNMMI supplement: bringing AI and radiomics to nuclear medicine

I. Buvat, P. Veit-Haibach, K. Herrmann, 2019, European Journal of Nuclear Medicine and Molecular Imaging.

Partial volume effect correction in SPECT for striatal uptake measurements in patients with neurodegenerative diseases: impact upon patient classification

Irène Buvat, Jacques Darcourt, Pierre Malick Koulibaly, 2006, European Journal of Nuclear Medicine and Molecular Imaging.

Prediction of cervical cancer recurrence using textural features calculated from 18F-FDG PET images

Cyrus Chargari, Fanny Orlhac, I. Buvat, 2016 .

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

Irène Buvat, Hélène Urien, Nicolas Rougon, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Partial volume effect estimation and correction in the aortic vascular wall in PET imaging

S Stute, I Buvat, A Dieudonné, 2013, Physics in medicine and biology.

Interval-based reconstruction for uncertainty quantification in PET

Florentin Kucharczak, Kevin Loquin, Irène Buvat, 2018, Physics in medicine and biology.

[18F]FDG PET/CT for predicting triple-negative breast cancer outcomes after neoadjuvant chemotherapy with or without pembrolizumab

I. Buvat, F. Bidard, P. Cottu, 2023, European Journal of Nuclear Medicine and Molecular Imaging.

Total metabolic tumor volume and spleen metabolism on baseline [18F]-FDG PET/CT as independent prognostic biomarkers of recurrence in resected breast cancer

I. Buvat, R. Rouzier, F. Bidard, 2021, European Journal of Nuclear Medicine and Molecular Imaging.

Impact of scatter correction in planar scintimammography: a phantom study.

I Buvat, B Aubert, I. Buvat, 1998, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

Curative high-dose reirradiation for patients with recurrent head and neck adenoid cystic carcinomas: Outcomes and analysis of patterns of failure.

I. Buvat, P. Herman, A. Beddok, 2023, International Journal of Radiation Biology.

Relative impact of scatter, attenuation, collimator response and finite spatial resolution corrections in cardiac SPECT

I. Buvat, A. Todd-Pokropek, H. Benali, 2000 .

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

I. Buvat, L. Rebaud, K. Girum, 2022, HECKTOR@MICCAI.

The T.R.U.E. checklist for identifying impactful AI ‐ based findings in nuclear medicine: is it True? Is it Reproducible? Is it Useful? Is it Explainable?

I. Buvat, ID Orcid, PhD Fanny Orlhac, 2021 .

Unsupervised Spectral Clustering for Segmentation of Dynamic PET Images

Sandrine Mouysset, Laurent Galineau, Simon Stute, 2015, IEEE Transactions on Nuclear Science.

Segmentation of dynamic PET images with kinetic spectral clustering

S Stute, I Buvat, I. Buvat, 2013, Physics in medicine and biology.

Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem

Abhinav K. Jha, M. Hatt, I. Buvat, 2022, The Journal of Nuclear Medicine.

Fully 4D image reconstruction by estimation of an input function and spectral coefficients

C. Comtat, R. Trebossen, I Buvat, 2007, 2007 IEEE Nuclear Science Symposium Conference Record.

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Maria A. Zuluaga, M. Jorge Cardoso, Suyash P. Awate, 2023, ArXiv.

P-Glycoprotein (ABCB1) Inhibits the Influx and Increases the Efflux of 11C-Metoclopramide Across the Blood–Brain Barrier: A PET Study on Nonhuman Primates

I. Buvat, O. Langer, M. Bauer, 2018, The Journal of Nuclear Medicine.

The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping.

R. Steenbakkers, M. Hatt, M. Desseroit, 2016, Radiology.

Corrigendum to "Evaluation of TSPO PET imaging, a marker of glial activation, to study the neuroimmune footprints of morphine exposure and withdrawal" [Drug Alcohol Depend. 170 (2017) 43-50].

I. Buvat, R. Boisgard, B. Hosten, 2019, Drug and alcohol dependence.

GATE V6: a major enhancement of the GATE simulation platform enabling modelling of CT and radiotherapy

D. Visvikis, I. Buvat, David Sarrut, 2011, Physics in medicine and biology.

EJNMMI supplement: bringing AI and radiomics to nuclear medicine

I. Buvat, P. Veit-Haibach, K. Herrmann, 2019, European Journal of Nuclear Medicine and Molecular Imaging.

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

I. Buvat, D. Wallis, 2022, Medical Image Anal..

Multi-centre evaluation of accuracy and reproducibility of planar and SPECT image quantification: An IAEA phantom study.

Irène Buvat, Michael Lassmann, Anchali Krisanachinda, 2017, Zeitschrift fur medizinische Physik.

Methodologies for quantitative SPECT

Irène Buvat, I. Buvat, 2017 .

Validation of MRI/SPECT similarity-based registration methods using realistic simulations of normal and pathological SPECT data

Irène Buvat, Bernard Gibaud, Jean-Marie Scarabin, 2002 .

A publicly accessible Monte Carlo database for validation purposes in emission tomography

F. Fazio, I. Buvat, I. Castiglioni, 2005, European Journal of Nuclear Medicine and Molecular Imaging.

Variability and Uncertainty of 18F-FDG PET Imaging Protocols for Assessing Inflammation in Atherosclerosis: Suggestions for Improvement

I. Buvat, F. Hyafil, D. Le Guludec, 2015, The Journal of Nuclear Medicine.

Detection and Characterization of Tumor Changes in 18F-FDG PET Patient Monitoring Using Parametric Imaging

I. Buvat, P. Flamen, B. Vanderlinden, 2011, The Journal of Nuclear Medicine.

Prognostic value of lesion dissemination in doxorubicin, bleomycin, vinblastine, and dacarbazine‐treated, interimPET‐negative classical Hodgkin Lymphoma patients: A radio‐genomic study

I. Buvat, F. Merli, A. Ciarrocchi, 2022, Hematological oncology.

Improved Estimation of Cardiac Function Parameters Using a Combination of Independent Automated Segmentation Results in Cardiovascular Magnetic Resonance Imaging

Mireille Garreau, Patrick Clarysse, Jean Cousty, 2015, PloS one.

Foundations of Factor Analysis of Medical Image Sequences: A Unified Approach and Some Practical Implications

Frédérique Frouin, J. P. Bazin, Irène Buvat, 1993, IPMI.

Computation of reliable textural indices from multimodal brain MRI: suggestions based on a study of patients with diffuse intrinsic pontine glioma

Fanny Orlhac, I. Buvat, V. Frouin, 2018, Physics in medicine and biology.

Reliability of uptake estimates in FDG PET as a function of acquisition and processing protocols using the CPET

I. Buvat, J. Feuardent, O. de Dreuille, 2005, IEEE Transactions on Nuclear Science.

Reproducibility of uptake estimates in FDG PET: a Monte Carlo study

I. Buvat, M. Soret, J. Feuardent, 2004, IEEE Symposium Conference Record Nuclear Science 2004..

Reliability of SUV estimates in FDG PET as a function of acquisition and processing protocols

I. Buvat, J. Feuardent, O. de Dreuille, 2003, 2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515).