A survey of deep learning for alzheimer's disease

Q Zhou, J Wang, X Yu, S Wang, Y Zhang - Machine Learning and …, 2023 - mdpi.com
Alzheimer's and related diseases are significant health issues of this era. The
interdisciplinary use of deep learning in this field has shown great promise and gathered …

CBRAIN: a web-based, distributed computing platform for collaborative neuroimaging research

T Sherif, P Rioux, ME Rousseau, N Kassis… - Frontiers in …, 2014 - frontiersin.org
The Canadian Brain Imaging Research Platform (CBRAIN) is a web-based collaborative
research platform developed in response to the challenges raised by data-heavy, compute …

Italian, European, and international neuroinformatics efforts: An overview

A Redolfi, D Archetti, S De Francesco… - European Journal of …, 2023 - Wiley Online Library
Neuroinformatics is a research field that focusses on software tools capable of identifying,
analysing, modelling, organising and sharing multiscale neuroscience data …

Genome sequencing of the sweetpotato whitefly Bemisia tabaci MED/Q

W **e, C Chen, Z Yang, L Guo, X Yang, D Wang… - …, 2017 - academic.oup.com
The sweetpotato whitefly Bemisia tabaci is a highly destructive agricultural and ornamental
crop pest. It damages host plants through both phloem feeding and vectoring plant …

The multi-modal Australian ScienceS Imaging and Visualization Environment (MASSIVE) high performance computing infrastructure: applications in neuroscience and …

WJ Goscinski, P McIntosh, U Felzmann… - Frontiers in …, 2014 - frontiersin.org
The Multi-modal Australian ScienceS Imaging and Visualization Environment (MASSIVE) is
a national imaging and visualization facility established by Monash University, the Australian …

Advances in studying brain morphology: The benefits of open-access data

CR Madan - Frontiers in human neuroscience, 2017 - frontiersin.org
Until recently, neuroimaging data for a research study needed to be collected within one's
own lab. However, when studying inter-individual differences in brain structure, a large …

The impact of automated hippocampal volumetry on diagnostic confidence in patients with suspected Alzheimer's disease: a European Alzheimer's disease …

P Bosco, A Redolfi, M Bocchetta, C Ferrari… - Alzheimer's & …, 2017 - Wiley Online Library
Introduction Hippocampal volume is a core biomarker of Alzheimer's disease (AD).
However, its contribution over the standard diagnostic workup is unclear. Methods Three …

Global data sharing in Alzheimer disease research

N Ashish, P Bhatt, AW Toga - Alzheimer Disease & Associated …, 2016 - journals.lww.com
Many investigators recognize the importance of data sharing; however, they lack the
capability to share data. Research efforts could be vastly expanded if Alzheimer disease …

The A/T/N model applied through imaging biomarkers in a memory clinic

A Dodich, A Mendes, F Assal, C Chicherio… - European journal of …, 2020 - Springer
Abstract Purpose The A/T/N model is a research framework proposed to investigate
Alzheimer's disease (AD) pathological bases (ie, amyloidosis A, neurofibrillary tangles T …

Science in the cloud (SIC): A use case in MRI connectomics

G Kiar, KJ Gorgolewski, D Kleissas, WG Roncal… - Giga …, 2017 - academic.oup.com
Modern technologies are enabling scientists to collect extraordinary amounts of complex
and sophisticated data across a huge range of scales like never before. With this onslaught …