Mohamad Habes | DeepAI

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∙ 09/27/2022

Deep Learning Based Detection of Enlarged Perivascular Spaces on Brain MRI

Deep learning has been demonstrated effective in many neuroimaging appli...

0 Tanweer Rashid, et al. ∙

∙ 07/22/2022

Deep neural network heatmaps capture Alzheimer's disease patterns reported in a large meta-analysis of neuroimaging studies

Deep neural networks currently provide the most advanced and accurate ma...

62 Di Wang, et al. ∙

∙ 09/08/2021

Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning

Neuroimaging biomarkers that distinguish between typical brain aging and...

0 Gyujoon Hwang, et al. ∙

∙ 10/11/2020

Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging

Conventional and deep learning-based methods have shown great potential ...

0 Vishnu M. Bashyam, et al. ∙

∙ 09/30/2020

DEEPMIR: A DEEP convolutional neural network for differential detection of cerebral Microbleeds and IRon deposits in MRI

Background: Cerebral microbleeds (CMBs) and non-hemorrhage iron deposits...

1 Tanweer Rashid, et al. ∙

∙ 07/03/2019

DeepMRSeg: A convolutional deep neural network for anatomy and abnormality segmentation on MR images

Segmentation has been a major task in neuroimaging. A large number of au...

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∙ 04/15/2019

A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal MRI

Introduction: It is challenging at baseline to predict when and which in...

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∙ 09/05/2017

Deep Ordinal Ranking for Multi-Category Diagnosis of Alzheimer's Disease using Hippocampal MRI data

Increasing effort in brain image analysis has been dedicated to early di...

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