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20192026
most citedDiffusion Probabilistic Models beat GANs on Medical Images

215 citations · 1k across the 75 of their papers we have counts for

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physics.med-ph2025

T2 Radiomic Features Are More Sensitive Than Mean T2 for Cartilage Load Response: A Stress MRI Study

Teresa Lemainque, Philipp Schad, Simon Westfechtel +6

Objective: To assess response-to-loading in a human cadaveric knee joint model under different loading conditions before and after meniscectomy Design: In this prospective study, s…

physics.med-ph2023

Time-efficient combined morphologic and quantitative joint MRI based on clinical image contrasts -- An exploratory in-situ study of standardized cartilage defects

Teresa Lemainque, Nicola Pridöhl, Shuo Zhang +8

OBJECTIVES: Quantitative MRI techniques such as T2 and T1 mapping are beneficial in evaluating cartilage and meniscus. We aimed to evaluate the MIXTURE (Multi-Interleaved X-prep…

physics.med-ph2023

Two for One -- Combined Morphologic and Quantitative Knee Joint MRI Using a Versatile Turbo Spin-Echo Platform

Teresa Lemainque, Nicola Pridoehl, Marc Huppertz +9

Introduction: Quantitative MRI techniques such as T2 and T1\r{ho} mapping are beneficial in evaluating knee joint pathologies; however, long acquisition times limit their clinical…

physics.med-ph2019★ 16 cited

Spiral Blurring Correction with Water-Fat Separation for Magnetic Resonance Fingerprinting in the Breast

Teresa Nolte, Nicolas Gross-Weege, Mariya Doneva +5

PURPOSE: Magnetic Resonance Fingerprinting (MRF) with spiral readout enables rapid quantification of tissue relaxation times. However, it is prone to blurring due to off-resonance…