Deep Learning in current Neuroimaging: a multivariate approach with power and type I error control but arguable generalization ability

30 March 2021

Papers citing "Deep Learning in current Neuroimaging: a multivariate approach with power and type I error control but arguable generalization ability"

4 / 4 papers shown

Title
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources Suraj Rajendran Weishen Pan M. Sabuncu Yong Chen Jiayu Zhou Fei Wang 57 14 0 10 May 2023
Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review A. Shoeibi Marjane Khodatars M. Jafari Parisa Moridian Mitra Rezaei ... Juan M Gorriz Jónathan Heras M. Panahiazar S. Nahavandi U. Acharya 32 125 0 11 May 2021
Statistical Agnostic Mapping: a Framework in Neuroimaging based on Concentration Inequalities Juan M Gorriz et al. Mashrur Chowdhury 37 22 0 27 Dec 2019
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 127 577 0 27 Feb 2015