Jakob Assländer

ResearcherID ORCID

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Venues

Magnetic resonance in medicine

medRxiv : the preprint server for health sciences

ArXiv

Journal of magnetic resonance imaging : JMRI

NYU School of Medicine

This page only lists publications with an associated author ORCID identifier.

Affiliation History

NYU School of Medicine Mar 01 2016

United States

Assistant Professor (Research) of Radiology and Psychiatry :: Radiology; Psychiatry

Publications

Andrew Mao, Sebastian Flassbeck, Jakob Assländer
Bias-Reduced Neural Networks for Parameter Estimation in Quantitative MRI. ArXiv (2024)
Andrew Mao, Sebastian Flassbeck, Elisa Marchetto, Arjun V Masurkar, Henry Rusinek, Jakob Assländer
Sensitivity of unconstrained quantitative magnetization transfer MRI to Amyloid burden in preclinical Alzheimer's disease. medRxiv : the preprint server for health sciences (2024)
Andrew Mao, Sebastian Flassbeck, Jakob Assländer
Bias-reduced neural networks for parameter estimation in quantitative MRI. Magnetic resonance in medicine (2024)
Andrew Mao, Sebastian Flassbeck, Elisa Marchetto, Arjun V Masurkar, Henry Rusinek, Jakob Assländer
Sensitivity of unconstrained quantitative magnetization transfer MRI to Amyloid burden in preclinical Alzheimer's disease. medRxiv : the preprint server for health sciences (2024)
Andrew Mao, Sebastian Flassbeck, Elisa Marchetto, Arjun V Masurkar, Henry Rusinek, Jakob Assländer
Sensitivity of unconstrained quantitative magnetization transfer MRI to Amyloid burden in preclinical Alzheimer's disease. medRxiv : the preprint server for health sciences (2024)
Andrew Mao, Sebastian Flassbeck, Elisa Marchetto, Arjun V Masurkar, Henry Rusinek, Jakob Assländer
Sensitivity of unconstrained quantitative magnetization transfer MRI to Amyloid burden in preclinical Alzheimer's disease. medRxiv : the preprint server for health sciences (2024)
Andrew Mao, Sebastian Flassbeck, Jakob Assländer
Bias-reduced neural networks for parameter estimation in quantitative MRI. Magnetic resonance in medicine 92 (4) (2024)
Andrew Mao, Sebastian Flassbeck, Jakob Assländer
Bias-reduced neural networks for parameter estimation in quantitative MRI. Magnetic resonance in medicine (2024)
Nick Scholand, Philip Schaten, Christina Graf, Daniel Mackner, Hans Christian Martin Holme, Moritz Blumenthal, Andrew Mao, Jakob Assländer, Martin Uecker
Rational approximation of golden angles: Accelerated reconstructions for radial MRI. Magnetic resonance in medicine (2024)
Andrew Mao, Sebastian Flassbeck, Jakob Assländer
Bias-Reduced Neural Networks for Parameter Estimation in Quantitative MRI. ArXiv (2024)
Andrew Mao, Sebastian Flassbeck, Jakob Assländer
Bias-Reduced Neural Networks for Parameter Estimation in Quantitative MRI. ArXiv (2024)
Andrew Mao, Sebastian Flassbeck, Jakob Assländer
Bias-Reduced Neural Networks for Parameter Estimation in Quantitative MRI. ArXiv (2024)
Andrew Mao, Sebastian Flassbeck, Jakob Assländer
Bias-Reduced Neural Networks for Parameter Estimation in Quantitative MRI. ArXiv (2024)
Andrew Mao, Sebastian Flassbeck, Elisa Marchetto, Arjun V Masurkar, Henry Rusinek, Jakob Assländer
Sensitivity of unconstrained quantitative magnetization transfer MRI to Amyloid burden in preclinical Alzheimer's disease. medRxiv : the preprint server for health sciences (2024)
Sebastian Flassbeck, Jakob Assländer
Minimization of eddy current artifacts in sequences with periodic dynamics. Magnetic resonance in medicine (2023)
Jakob Assländer, Cem Gultekin, Andrew Mao, Xiaoxia Zhang, Quentin Duchemin, Kangning Liu, Robert W Charlson, Timothy M Shepherd, Carlos Fernandez-Granda, Sebastian Flassbeck
Rapid quantitative magnetization transfer imaging: Utilizing the hybrid state and the generalized Bloch model. Magnetic resonance in medicine (2023)
Xiaoxia Zhang, Quentin Duchemin, Kangning Liu, Cem Gultekin, Sebastian Flassbeck, Carlos Fernandez-Granda, Jakob Assländer
Cramér-Rao bound-informed training of neural networks for quantitative MRI. Magnetic resonance in medicine 88 (1) (2022)
Jakob Assländer, Cem Gultekin, Sebastian Flassbeck, Steffen J Glaser, Daniel K Sodickson
Generalized Bloch model: A theory for pulsed magnetization transfer. Magnetic resonance in medicine (2021)
Jakob Assländer
A Perspective on MR Fingerprinting. Journal of magnetic resonance imaging : JMRI 53 (3) (2020)
Jakob Assländer, Dmitry S Novikov, Riccardo Lattanzi, Daniel K Sodickson, Martijn A Cloos
Hybrid-state free precession in nuclear magnetic resonance. Communications physics 2 (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jakob Assländer