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Scalable Multi-Task Gaussian Process Tensor Regression for Normative
  Modeling of Structured Variation in Neuroimaging Data

Scalable Multi-Task Gaussian Process Tensor Regression for Normative Modeling of Structured Variation in Neuroimaging Data

31 July 2018
S. M. Kia
Christian F. Beckmann
A. Marquand
ArXivPDFHTML

Papers citing "Scalable Multi-Task Gaussian Process Tensor Regression for Normative Modeling of Structured Variation in Neuroimaging Data"

3 / 3 papers shown
Title
The Neural Process Family: Survey, Applications and Perspectives
The Neural Process Family: Survey, Applications and Perspectives
Saurav Jha
Dong Gong
Xuesong Wang
Richard Turner
L. Yao
BDL
83
24
0
01 Sep 2022
Tractometry-based Anomaly Detection for Single-subject White Matter
  Analysis
Tractometry-based Anomaly Detection for Single-subject White Matter Analysis
Maxime Chamberland
Sila Genc
Erika P. Raven
G. Parker
A. Cunningham
J. Doherty
M. Bree
C. Tax
Derek K. Jones
MedIm
17
7
0
22 May 2020
Neural Processes Mixed-Effect Models for Deep Normative Modeling of
  Clinical Neuroimaging Data
Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data
S. M. Kia
A. Marquand
24
25
0
12 Dec 2018
1