Pascal Spincemaille

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Associate Professor of Physics Research in Radiology

Weill Cornell Medical College

United States

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About

Pascal Spincemaille is an Associate Professor of Physics Research in Radiology at Weill Cornell Medical College, USA. His research primarily focuses on quantitative susceptibility mapping, MRI fingerprinting, and myelin mapping techniques. He has published extensively on topics including the prediction of deep brain stimulation outcomes in Parkinson's disease and the assessment of oxygen extraction fraction in various physiological changes.

Recent Grants

Grant: Close

Compact Representations of Dynamic Liver MRI

Open Date: 2015-05-19

Close Date: 2020-04-30

Grant: Close

Vastly Accelerated Dynamic Spiral MR Liver Imaging

Open Date: 2011-09-01

Close Date: 2014-08-31

Grant: Close

Novel Dynamic Liver Imaging Method with Flexible Temporal and Spatial Resolution

Open Date: 2011-04-01

Close Date: 2014-03-31

Articles (16)

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2025

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2021

Collaborators (7)

Yi Wang

Weill Cornell Medical College

UNITED STATES

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Zungho Zun

Assistant Professor

Weill Cornell Medicine

UNITED STATES

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Junghun Cho

Assistant Professor

University at Buffalo - North Campus

UNITED STATES

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Mert Sabuncu

Professor

Cornell Tech

UNITED STATES

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Alessandro Daducci

Associate professor

University of Verona

ITALY

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Eddy Solomon

Weill Cornell Medicine

UNITED STATES

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Martin Prince

Professor

Columbia University Vagelos College of Physicians and Surgeons

UNITED STATES

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Pascal Spincemaille

Research Interests

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About

Recent Grants

Articles (16)

Technical Feasibility of Quantitative Susceptibility Mapping Radiomics for Predicting Deep Brain Stimulation Outcomes in Parkinson Disease

Navigator motion‐resolved MR fingerprinting using implicit neural representation: Feasibility for free‐breathing three‐dimensional whole‐liver multiparametric mapping

Microstructure‐Informed Myelin Mapping (MIMM) from routine multi‐echo gradient echo data using multiscale physics modeling of iron and myelin effects and QSM

Sensitivity assessment of QSM+qBOLD (or QQ) in detecting elevated oxygen extraction fraction (OEF) in physiological change

Quantitative Susceptibility Mapping with Source Separation in Normal Brain Development of Newborns

Maximum spherical mean value filtering for whole‐brain QSM

Editorial for “An Empirical Approach to Derive Water T1 From Multiparametric MR Images Using an Automated Pipeline and Comparison With Liver Stiffness”

QSM Throughout the Body

Fluid Mechanics Approach to Perfusion Quantification: Vasculature Computational Fluid Dynamics Simulation, Quantitative Transport Mapping (QTM) Analysis of Dynamics Contrast Enhanced MRI, and Application in Nonalcoholic Fatty Liver Disease Classification

LARO: Learned acquisition and reconstruction optimization to accelerate quantitative susceptibility mapping

Quantitative susceptibility mapping improves cerebral microbleed detection relative to susceptibility‐weighted images

Susceptibility source separation from gradient echo data using magnitude decay modeling

Brain oxygen extraction fraction mapping in patients with multiple sclerosis

Global cerebrospinal fluid as a zero‐reference regularization for brain quantitative susceptibility mapping

The central vein sign in multiple sclerosis lesions: Susceptibility relaxation optimization from a routine MRI multiecho gradient echo sequence

GAMER MRI: Gated-attention mechanism ranking of multi-contrast MRI in brain pathology

Collaborators (7)

Yi Wang

Zungho Zun

Junghun Cho

Mert Sabuncu

Alessandro Daducci

Eddy Solomon

Martin Prince

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