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Medical Image Analysis|December 23, 2016
Perfusion deconvolution in DSC-MRI with dispersion-compliant basesMarco Pizzolato, Timothé Boutelier, Rachid Deriche
IEEE Transactions on Medical Imaging|March 14, 2012
Bayesian hemodynamic parameter estimation by bolus tracking perfusion weighted imagingTimothé Boutelier, Koshuke Kudo, Fabrice Pautot, et al.
Magnetic Resonance in Medical Sciences : MRMS : an Official Journal of Japan Society of Magnetic Resonance in Medicine|March 23, 2016
Tmax Determined Using a Bayesian Estimation Deconvolution Algorithm Applied to Bolus Tracking Perfusion Imaging: A Digital Phantom Validation StudyIkuko Uwano, Makoto Sasaki, Kohsuke Kudo, et al.
Frontiers in Physiology|April 29, 2021
Direct Comparison of Bayesian and Fermi Deconvolution Approaches for Myocardial Blood Flow Quantification: In silico and Clinical ValidationsClément Daviller, Timothé Boutelier, Shivraman Giri, et al.
Magnetic Resonance in Medical Sciences : MRMS : an Official Journal of Japan Society of Magnetic Resonance in Medicine|February 5, 2014
Bayesian analysis of perfusion-weighted imaging to predict infarct volume: comparison with singular value decompositionKohsuke Kudo, Timothé Boutelier, Fabrice Pautot, et al.
Neuroradiology|July 16, 2013
Assessment of the accuracy of a Bayesian estimation algorithm for perfusion CT by using a digital phantomMakoto Sasaki, Kohsuke Kudo, Timothé Boutelier, et al.
The Neuroradiology Journal|January 10, 2025
Evaluating the effect of noise reduction strategies in CT perfusion imaging for predicting infarct core with deep learningJames J F Crouch, Timothé Boutelier, Adam Davis, et al.
Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism|October 30, 2025
Estimating blood oxygen saturation through susceptibility source separation: A new standpoint on quantitative BOLD modelsLucie Chalet, Sébastien Rigollet, Vasile Stupar, et al.
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