[HTML][HTML] Magnetic resonance spectroscopy—revisiting the biochemical and molecular milieu of brain tumors
Background Magnetic resonance spectroscopy (MRS) is an established tool for in-vivo
evaluation of the biochemical basis of human diseases. On one hand, such lucid depiction …
evaluation of the biochemical basis of human diseases. On one hand, such lucid depiction …
The importance of interpretability and visualization in machine learning for applications in medicine and health care
A Vellido - Neural computing and applications, 2020 - Springer
In a short period of time, many areas of science have made a sharp transition towards data-
dependent methods. In some cases, this process has been enabled by simultaneous …
dependent methods. In some cases, this process has been enabled by simultaneous …
Classification of brain tumours from MR spectra: the INTERPRET collaboration and its outcomes
The INTERPRET project was a multicentre European collaboration, carried out from 2000 to
2002, which developed a decision‐support system (DSS) for helping neuroradiologists with …
2002, which developed a decision‐support system (DSS) for helping neuroradiologists with …
Surface recognition improvement in 3D medical laser scanner using Levenberg–Marquardt method
JC Rodriguez-Quinonez, O Sergiyenko… - Signal Processing, 2013 - Elsevier
The 3D measurements of the human body surface or anatomical areas have gained
importance in many medical applications. Three dimensional laser scanning systems can …
importance in many medical applications. Three dimensional laser scanning systems can …
Classification of human brain tumours from MRS data using Discrete Wavelet Transform and Bayesian Neural Networks
C Arizmendi, A Vellido, E Romero - Expert Systems with Applications, 2012 - Elsevier
The diagnosis of brain tumours is an extremely sensitive and complex clinical task that must
rely upon information gathered through non-invasive techniques. One such technique is …
rely upon information gathered through non-invasive techniques. One such technique is …
Seeing is believing: The importance of visualization in real-world machine learning applications
A Vellido Alcacena, JD Martín, F Rossi… - … on Artificial Neural …, 2011 - upcommons.upc.edu
The increasing availability of data sets with a huge amount of information, coded in many diff
erent features, justifi es the research on new methods of knowledge extraction: the great …
erent features, justifi es the research on new methods of knowledge extraction: the great …
SpectraClassifier 1.0: a user friendly, automated MRS-based classifier-development system
Background SpectraClassifier (SC) is a Java solution for designing and implementing
Magnetic Resonance Spectroscopy (MRS)-based classifiers. The main goal of SC is to allow …
Magnetic Resonance Spectroscopy (MRS)-based classifiers. The main goal of SC is to allow …
A comparison of non‐negative matrix underapproximation methods for the decomposition of magnetic resonance spectroscopy data from human brain tumors
Magnetic resonance spectroscopy (MRS) is an MR technique that provides information
about the biochemistry of tissues in a noninvasive way. MRS has been widely used for the …
about the biochemistry of tissues in a noninvasive way. MRS has been widely used for the …
Robust discrimination of glioblastomas from metastatic brain tumors on the basis of single‐voxel 1H MRS
A Vellido, E Romero, M Julià‐Sapé, C Majós… - NMR in …, 2012 - Wiley Online Library
This article investigates methods for the accurate and robust differentiation of metastases
from glioblastomas on the basis of single‐voxel 1H MRS information. Single‐voxel 1H MR …
from glioblastomas on the basis of single‐voxel 1H MRS information. Single‐voxel 1H MR …
Non-negative matrix factorisation methods for the spectral decomposition of MRS data from human brain tumours
Background In-vivo single voxel proton magnetic resonance spectroscopy (SV 1 H-MRS),
coupled with supervised pattern recognition (PR) methods, has been widely used in clinical …
coupled with supervised pattern recognition (PR) methods, has been widely used in clinical …