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NEURO-DRAM: a 3D recurrent visual attention model for interpretable
neuroimaging classification

v1v2v3 (latest)

NEURO-DRAM: a 3D recurrent visual attention model for interpretable neuroimaging classification

10 October 2019

ArXiv (abs)PDF HTML

Papers citing "NEURO-DRAM: a 3D recurrent visual attention model for interpretable neuroimaging classification"

4 / 4 papers shown

A self-supervised text-vision framework for automated brain abnormality
detection

A self-supervised text-vision framework for automated brain abnormality detection

Kishan Dissanayake

...

Gareth J. Barker

Sebastien Ourselin

Thomas C. Booth

88

5

0

05 May 2024

Promises and pitfalls of deep neural networks in neuroimaging-based
psychiatric research

Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric researchExperimental Neurology (Exp. Neurol.), 2021

Marc-Andre Schulz

249

49

0

20 Jan 2023

Interpretability of Machine Learning Methods Applied to Neuroimaging

Interpretability of Machine Learning Methods Applied to Neuroimaging

Elina Thibeau-Sutre

155

7

0

14 Apr 2022

Preclinical Stage Alzheimer's Disease Detection Using Magnetic Resonance
Image Scans

Preclinical Stage Alzheimer's Disease Detection Using Magnetic Resonance Image ScansAAAI Conference on Artificial Intelligence (AAAI), 2020

Senem Velipasalar

91

46

0

28 Nov 2020