Combining heterogeneous data sources for neuroimaging based diagnosis: re-weighting and selecting what is important
Sign Up to like & getrecommendations! Published in 2019 at "Neuroimage"
DOI: 10.1016/j.neuroimage.2019.01.053
Abstract: Combining neuroimaging and clinical information for diagnosis, as for example behavioral tasks and genetics characteristics, is potentially beneficial but presents challenges in terms of finding the best data representation for the different sources of information.… read more here.
Keywords: data sources; diagnosis; heterogeneous data; neuroimaging based ... See more keywords
Brain Predictability toolbox: a Python library for neuroimaging based machine learning
Sign Up to like & getrecommendations! Published in 2021 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btaa974
Abstract: SUMMARY Brain Predictability toolbox (BPt) represents a unified framework of machine learning (ML) tools designed to work with both tabulated data (e.g., brain derived, psychiatric, behavioral, and physiological variables) and neuroimaging specific data (e.g., brain… read more here.
Keywords: machine learning; bpt; brain predictability; neuroimaging based ... See more keywords
Neuroimaging-based pain biomarkers: definitions, clinical and research applications, and evaluation frameworks to achieve personalized pain medicine
Sign Up to like & getrecommendations! Published in 2019 at "Pain Reports"
DOI: 10.1097/pr9.0000000000000762
Abstract: Abstract: One of the key ambitions of neuroimaging-based pain biomarker research is to augment patient and clinician reporting of clinically relevant phenomena with neural measures for prediction, prognosis, and detection of pain. Despite years of… read more here.
Keywords: medicine; pain; neuroimaging based; clinical research ... See more keywords
Multimodal Neuroimaging based Alzheimer's Disease Diagnosis using Evolutionary RVFL Classifier.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2023.3242354
Abstract: Alzheimer's disease (AD) is one of the most known causes of dementia which can be characterized by continuous deterioration in the cognitive skills of elderly people. It is a non-reversible disorder that can only be… read more here.
Keywords: neuroimaging based; rvfl; multimodal neuroimaging; disease ... See more keywords
A Survey on Deep Learning for Neuroimaging-Based Brain Disorder Analysis
Sign Up to like & getrecommendations! Published in 2020 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2020.00779
Abstract: Deep learning has recently been used for the analysis of neuroimages, such as structural magnetic resonance imaging (MRI), functional MRI, and positron emission tomography (PET), and it has achieved significant performance improvements over traditional machine… read more here.
Keywords: learning; analysis; disorder; deep learning ... See more keywords