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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…

Cited by 0SourceScholar
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…

Cited by 0SourceScholar