… the training data, which avoids the different calculation errors … The correlation is a kind of
non deterministic relation, and its … regression analysis (simple linear regression and multiple …

… Similarly, we added the scaled skip connection to it in architecture 4. From architecture 1 to
architecture 4, the CNN architectures become increasingly more complex and we will discuss …

… can effectively reveal the relationship between clinical score and … scores, like the AD
assessment scale-cognitive subscale (ADAS-… The regression process is devised in two scenarios. …

… set of regression coefficients for each voxel in the brain. … of connection, which we refer to
as multiplicative connection (… of brain maps to the estimated positive associations between …

… More specifically, we first estimated the relationship between … and ages for the subjects in
NC cohort by learning multiple linear regression models, where ages are used to predict brain …

… ] T consisting of six unique elements is estimated using ordinary linear squares regression
as:(1) D 6 … data were also used in this study to derive brain tissue masks for results evaluation. …

… According to an NBTF study, in the USA an estimated 29,000 … DeepMedic by adding residual
connection is proposed for tumor … When regression targets are infinite, training with L 2 loss …

… brain imaging data demonstrate that as the brain ages, its … the machine learning algorithm,
random forest regression was … 3T MRI for registration and regional assessment, as described …

… Introduction ML, in particular deep learning, has supplied a … relations, into the complex
data-generating processes under … well, with coefficients of determination (R2) higher than 0.9. …

… different methods that use brain volume to define brain age [20]; … deviation of estimated brain
age from chronological age, in … /standardized) from regression models. Authors considered …