Publications related to Impact of the prior knowledge on the quantification of in vivo 13C spectra using two different algorithms: LCModel and AMARES

Related publications (6)

Noise-reduction techniques for 1H-FID-MRSI at 14.1 T: Monte Carlo validation and in vivo application

Cristina Ramona Cudalbu Moldovan, Bernard Lanz, Dunja Simicic, Jessie Julie Mosso, Thanh Phong Kevin Lê, Guillaume Miro André Briand, Brayan Alves

Proton magnetic resonance spectroscopic imaging (1H-MRSI) is a powerful tool that enables the multidimensional non-invasive mapping of the neurochemical profile at high resolution over the entire brain. The constant demand for higher spatial resolution in ...

Wiley2024

Assessing normalization methods in mass spectrometry-based proteome profiling of clinical samples

Loïc Dayon

Background: Large-scale proteomic studies have to deal with unwanted variability, especially when samples originate from different centers and multiple analytical batches are needed. Such variability is typically added throughout all the steps of a clinica ...

ELSEVIER SCI LTD2022

Rapid Characterization and Quantification of Extracellular Vesicles by Fluorescence-Based Microfluidic Diffusion Sizing

Pablo Rivera Fuentes, Adam Miklos Eördögh

Extracellular vesicles (EVs) are emerging as promising diagnostic and therapeutic tools for a variety of diseases. The characterization of EVs requires a series of orthogonal techniques that are overall time- and material-consuming. Here, a microfluidic de ...

WILEY2021

Computational characteristics and hardware implications of brain tissue simulations

Francesco Cremonesi

Understanding the link between the brain's anatomy and its function through computer simulations of neural tissue models is a widely used approach in computational neuroscience. This technique enables rapid prototyping and testing of hypotheses, allowing r ...

EPFL2019

Statistical Aspects of Wasserstein Distances

Victor Panaretos, Yoav Zemel

Wasserstein distances are metrics on probability distributions inspired by the problem of optimal mass transportation. Roughly speaking, they measure the minimal effort required to reconfigure the probability mass of one distribution in order to recover th ...

ANNUAL REVIEWS2019

Measurement of the impact of buildings on meteorological variables

Jean-Louis Scartezzini, Dasaraden Mauree, Laurent Deschamps, Pierre Loesch, Paul Becquelin

A meteorological tower was installed on the EPFL campus in a semi-urban environment for the high frequency monitoring of the micro-climate. This project was done in the larger framework of the measurement of the meteorological profiles and also a quantific ...

2017