Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: WaveletBrain: Characterization of human brain via spectral graph
  wavelets   Early diagnosis of Alzheimer's disease plays a key role in understanding the
degree of the patient's mental decline and determining preventive therapies. In
this study, we introduce WaveletBrain, a novel representation of the white and
gray matter surfaces of the cortex. The proposed framework innovates by
deriving localized shape information from a global harmonic representation,
that can be used in large-scale population studies of surface data. Results
show that WaveletBrain leads to statistically significant improvements in
comparison to the ShapeDNA representation in a variety of experiments including
(i) classification of Alzheimer's disease, normal aging, and mild cognitive
impairment, (ii) sex classification and (iii) age prediction of subjects. We
performed our analysis on 719 patients and 2,876 surfaces. While this work
focuses primarily on Alzheimer's disease diagnosis, our proposed framework can
be used to address general surface analysis problems in neuroscience.

14
The categories of this paper are: math-ph
33
The categories of this paper are: plasm-ph
7
The categories of this paper are: hep-th
37
The categories of this paper are: supr-con
22
The categories of this paper are: chao-dyn
15
The categories of this paper are: nucl-ex
35
The categories of this paper are: mtrl-th
1
The categories of this paper are: cs
20
The categories of this paper are: acc-phys
3
The categories of this paper are: physics
5
The categories of this paper are: gr-qc
25
The categories of this paper are: patt-sol
6
The categories of this paper are: astro-ph
11
The categories of this paper are: hep-lat
21
The categories of this paper are: adap-org
28
The categories of this paper are: alg-geom