eD octor: machine learning and the future of medicine
GS Handelman, HK Kok, RV Chandra… - Journal of internal …, 2018 - Wiley Online Library
Abstract Machine learning (ML) is a burgeoning field of medicine with huge resources being
applied to fuse computer science and statistics to medical problems. Proponents of ML extol …
applied to fuse computer science and statistics to medical problems. Proponents of ML extol …
Clinical proton MR spectroscopy in central nervous system disorders
A large body of published work shows that proton (hydrogen 1 [1H]) magnetic resonance
(MR) spectroscopy has evolved from a research tool into a clinical neuroimaging modality …
(MR) spectroscopy has evolved from a research tool into a clinical neuroimaging modality …
Artificial neural networks in medical diagnosis
F Amato, A López, EM Peña-Méndez, P Vaňhara… - Journal of applied …, 2013 - Elsevier
An extensive amount of information is currently available to clinical specialists, ranging from
details of clinical symptoms to various types of biochemical data and outputs of imaging …
details of clinical symptoms to various types of biochemical data and outputs of imaging …
[HTML][HTML] Diffuse glioma growth: a guerilla war
A Claes, AJ Idema, P Wesseling - Acta neuropathologica, 2007 - Springer
In contrast to almost all other brain tumors, diffuse gliomas infiltrate extensively in the
neuropil. This growth pattern is a major factor in therapeutic failure. Diffuse infiltrative glioma …
neuropil. This growth pattern is a major factor in therapeutic failure. Diffuse infiltrative glioma …
Glutamate and glutamine: a review of in vivo MRS in the human brain
Our understanding of the roles that the amino acids glutamate (Glu) and glutamine (Gln)
play in the mammalian central nervous system has increased rapidly in recent times. Many …
play in the mammalian central nervous system has increased rapidly in recent times. Many …
New approaches for imaging tumour responses to treatment
K Brindle - Nature Reviews Cancer, 2008 - nature.com
Tumour responses to treatment are still largely assessed from imaging measurements of
reductions in tumour size. However, this can take several weeks to become manifest and in …
reductions in tumour size. However, this can take several weeks to become manifest and in …
[HTML][HTML] In vivo magnetic resonance spectroscopy: basic methodology and clinical applications
M van der Graaf - European Biophysics Journal, 2010 - Springer
The clinical use of in vivo magnetic resonance spectroscopy (MRS) has been limited for a
long time, mainly due to its low sensitivity. However, with the advent of clinical MR systems …
long time, mainly due to its low sensitivity. However, with the advent of clinical MR systems …
The neurochemical profile quantified by in vivo 1H NMR spectroscopy
Proton NMR spectroscopy is emerging from translational and preclinical neuroscience
research as an important tool for evidence based diagnosis and therapy monitoring. It …
research as an important tool for evidence based diagnosis and therapy monitoring. It …
[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 …
Detection of pseudo brain tumors via stacked LSTM neural networks using MR spectroscopy signals
Magnetic resonance spectroscopy (MRS) is one of the non-invasive tools used in the
detection of brain tumors. MRS provides a metabolic profile about the brain. In this profile …
detection of brain tumors. MRS provides a metabolic profile about the brain. In this profile …