Gian Franco Piredda

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gian.piredda@epfl.ch https://www.linkedin.com/in/gianfrancopiredda/

EPFL > ETU > EDOC > EDEE

Web site: Site web: https://go.epfl.ch/edee

EPFL > STI > IEM > LTS5

Web site: Site web: https://lts5www.epfl.ch/

Innovation Forum Lausanne (IFL)
c/o EPFL E DAF
CE1 530 (Centre Est)
Station 1
CH-1015 Lausanne

EHE > ASSOCIATIONS > AIDE-PROF > IFL

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Publications

Publications Infoscience

2021

Comparison of non-parametric T2 relaxometry methods for myelin water quantification

E. J. Canales Rodriguez; M. Pizzolato; G. F. Piredda; T. Hilbert; N. Kunz et al.

Medical Image Analysis. 2021-01-08. DOI : 10.1016/j.media.2021.101959.

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2020

Model-informed machine learning for multi-component T2 relaxometry

T. Yu; E. J. Canales Rodriguez; M. Pizzolato; G. F. Piredda; T. Hilbert et al.

Medical Image Analysis. 2020-12-17. DOI : 10.1016/j.media.2020.101940.

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Probing myelin content of the human brain with MRI: A review

G. F. Piredda; T. Hilbert; J.-P. Thiran; T. Kober

Magnetic Resonance In Medicine. 2020-09-16. DOI : 10.1002/mrm.28509.

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Normal volumetric and T1 relaxation time values at 1.5 T in segmented pediatric brain MRI using a MP2RAGE acquisition

B. Morel; G. F. Piredda; J.-P. Cottier; C. Tauber; C. Destrieux et al.

European Radiology. 2020-09-03. DOI : 10.1007/s00330-020-07194-w.

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Fast and high-resolution myelin water imaging: Accelerating multi-echo GRASE with CAIPIRINHA

G. F. Piredda; T. Hilbert; E. Jorge Canales-Rodriguez; M. Pizzolato; C. von Deuster et al.

Magnetic Resonance In Medicine. 2020-07-27. DOI : 10.1002/mrm.28427.

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2019

Model-based super-resolution reconstruction of T-2 maps

W. Bano; G. F. Piredda; M. Davies; I. Marshall; M. Golbabaee et al.

Magnetic Resonance In Medicine. 2019-09-13. DOI : 10.1002/mrm.27981.

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Quantitative brain relaxation atlases for personalized detection and characterization of brain pathology

G. F. Piredda; T. Hilbert; C. Granziera; G. Bonnier; R. Meuli et al.

Magnetic Resonance In Medicine. 2019-08-16. DOI : 10.1002/mrm.27927.

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Robust myelin water imaging from multi-echo T2 data using second-order Tikhonov regularization with control points

E. J. Canales-Rodriguez; M. Pizzolato; G. F. Piredda; T. Hilbert; N. Kunz et al.

27th ISMRM Annual Meeting, Montréal, Canada, Mai 11-16, 2019.

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Deriving Brain Myelin Water Fraction Maps from Relaxometry: a Data-Driven Approach

G. F. Piredda; T. Hilbert; J. Richiardi; E. J. Canales-Rodríguez; M. Pizzolato et al.

ISMRM 27th Annual Meeting & Exhibition, Montréal, Canada, Mai 11-16, 2019.

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Accelerating Multi-Echo GRASE with CAIPIRINHA for Fast and High-Resolution Myelin Water Imaging

G. F. Piredda; T. Hilbert; E. J. Canales-Rodrígez; M. Pizzolato; R. Meuli et al.

ISMRM 27th Annual Meeting & Exhibition, Montréal, Canada, Mai 11-16, 2019.

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Online People Directory

Gian Franco Piredda

Publications

Publications Infoscience

2021

Comparison of non-parametric T2 relaxometry methods for myelin water quantification

2020

Model-informed machine learning for multi-component T2 relaxometry

Probing myelin content of the human brain with MRI: A review

Normal volumetric and T1 relaxation time values at 1.5 T in segmented pediatric brain MRI using a MP2RAGE acquisition

Fast and high-resolution myelin water imaging: Accelerating multi-echo GRASE with CAIPIRINHA

2019

Model-based super-resolution reconstruction of T-2 maps

Quantitative brain relaxation atlases for personalized detection and characterization of brain pathology

Robust myelin water imaging from multi-echo T2 data using second-order Tikhonov regularization with control points

Deriving Brain Myelin Water Fraction Maps from Relaxometry: a Data-Driven Approach

Accelerating Multi-Echo GRASE with CAIPIRINHA for Fast and High-Resolution Myelin Water Imaging

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