18 citations · 27 across the 7 of their papers we have counts for
9 papers
Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders
Mohammad Golbabaee, Guido Buonincontri, Carolin Pirkl +4
We propose a dictionary-matching-free pipeline for multi-parametric quantitative MRI image computing. Our approach has two stages based on compressed sensing reconstruction and dee…
Rapid three-dimensional multiparametric MRI with quantitative transient-state imaging
Pedro A. Gómez, Matteo Cencini, Mohammad Golbabaee +8
Novel methods for quantitative, transient-state multiparametric imaging are increasingly being demonstrated for assessment of disease and treatment efficacy. Here, we build on thes…
A Fully Convolutional Network for MR Fingerprinting
Dongdong Chen, Mohammad Golbabaee, Pedro A. Gomez +2
Magnetic Resonance Fingerprinting (MRF) methods typically rely on dictionary matching to map the temporal MRF signals to quantitative tissue parameters. These methods suffer from h…
Multi-shot Echo Planar Imaging for accelerated Cartesian MR Fingerprinting: an alternative to conventional spiral MR Fingerprinting
Arnold Julian Vinoj Benjamin, Pedro A. Gomez, Mohammad Golbabaee +4
Purpose: To develop an accelerated Cartesian MRF implementation using a multi-shot EPI sequence for rapid simultaneous quantification of T1 and T2 parameters. Methods: The proposed…
Deep MR Fingerprinting with total-variation and low-rank subspace priors
Mohammad Golbabaee, Carolin M. Pirkl, Marion I. Menzel +2
Deep learning (DL) has recently emerged to address the heavy storage and computation requirements of the baseline dictionary-matching (DM) for Magnetic Resonance Fingerprinting (MR…
Designing contrasts for rapid, simultaneous parameter quantification and flow visualization with quantitative transient-state imaging
Pedro A. Gómez, Miguel Molina-Romero, Guido Buonincontri +2
Magnetic resonance imaging (MRI) is a remarkably powerful diagnostic technique: it generates wide-ranging information for the non-invasive study of tissue anatomy and physiology. C…
Balanced multi-shot EPI for accelerated Cartesian MRF: An alternative to spiral MRF
Arnold Julian Vinoj Benjamin, Pedro A. Gómez, Mohammad Golbabaee +4
The main purpose of this study is to show that a highly accelerated Cartesian MRF scheme using a multi-shot EPI readout (i.e. multi-shot EPI-MRF) can produce good quality multi-par…
Geometry of Deep Learning for Magnetic Resonance Fingerprinting
Mohammad Golbabaee, Dongdong Chen, Pedro A. Gómez +2
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…
Design of a Robotic System for Diagnosis and Rehabilitation of Lower Limbs
Pedro Araujo Gómez, Miguel Díaz Rodríguez, Vicente Amela
Currently, lower limb robotic rehabilitation is widely developed, However, the devices used so far seem to not have a uniform criteria for their design, because, on the contrary, e…