Browsing Terveystieteiden tiedekunta by Subject "machine learning"
Now showing items 1-4 of 4
(S. Karger AG, 2018)Aims: We assessed the value of automated MRI quantification methods in the differential diagnosis of behavioral-variant frontotemporal dementia (bvFTD) from Alzheimer disease (AD), Lewy body dementia (LBD), and subjective ...Tieteelliset aikakauslehtiartikkelit
(Elsevier BV, 2018)Alzheimer's disease (AD) is a progressive neurological disorder in which the death of brain cells causes memory loss and cognitive decline. The identification of at-risk subjects yet showing no dementia symptoms but who ...Tieteelliset aikakauslehtiartikkelit
(Elsevier BV, 2021)Objective To assess the potential of near-infrared spectroscopy (NIRS) for in vivo arthroscopic monitoring of cartilage defects. Method Sharp and blunt cartilage grooves were induced in the radiocarpal and intercarpal ...Tieteelliset aikakauslehtiartikkelit
(Springer International Publishing, 2019)We propose a four-layer fully-connected neural network (FNN) for predicting fluid intelligence scores from T1-weighted MR images for the ABCD-challenge. In addition to the volumes of brain structures, the FNN uses cortical ...Artikkelit tieteellisissä kokoomateoksissa