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Marion I. Menzel

2 accepted papers

2023

High-Dimensional Confidence Regions in Sparse MRI

ICASSP 2023accepted

One of the most promising solutions for uncertainty quantification in high-dimensional statistics is the debiased LASSO that relies on unconstrained ℓ <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</inf> -minimization. The initial works focused on re…

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2019

Geometry of Deep Learning for Magnetic Resonance Fingerprinting

ICASSP 2019accepted

Current popular methods for Magnetic Resonance Fingerprint (MRF) recovery are bottlenecked by the heavy storage and computation requirements of a dictionary-matching (DM) step due to the growing size and complexity of the fingerprint dictionaries in multi-parametric quantitative MRI applications. In…

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