Stage-independent biomarkers for Alzheimer’s disease from the living retina: an animal study
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Stage-independent biomarkers for Alzheimer’s disease from the living retina: an animal study
Authors
Keywords
-
Journal
Scientific Reports
Volume 12, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-08-11
DOI
10.1038/s41598-022-18113-y
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Retina and Brain Display Early and Differential Molecular and Cellular Changes in the 3xTg-AD Mouse Model of Alzheimer’s Disease
- (2021) Ana Catarina Rodrigues-Neves et al. MOLECULAR NEUROBIOLOGY
- Longitudinal normative OCT retinal thickness data for wild-type mice, and characterization of changes in the 3×Tg-AD mice model of Alzheimer's disease
- (2021) Hugo Ferreira et al. Aging-US
- Eff2Net: An efficient channel attention-based convolutional neural network for skin disease classification
- (2021) R Karthik et al. Biomedical Signal Processing and Control
- Retinal analysis of a mouse model of Alzheimer’s disease with multicontrast optical coherence tomography
- (2020) Danielle J. Harper et al. Neurophotonics
- The Retina as a Window or Mirror of the Brain Changes Detected in Alzheimer’s Disease: Critical Aspects to Unravel
- (2019) Samuel Chiquita et al. MOLECULAR NEUROBIOLOGY
- Automatic glaucoma classification using color fundus images based on convolutional neural networks and transfer learning
- (2019) Juan J. Gómez-Valverde et al. Biomedical Optics Express
- Utilization of DenseNet201 for diagnosis of breast abnormality
- (2019) Xiang Yu et al. MACHINE VISION AND APPLICATIONS
- Retinal thinning of inner sub-layers is associated with cortical atrophy in a mouse model of Alzheimer’s disease: a longitudinal multimodal in vivo study
- (2019) Samuel Chiquita et al. Alzheimers Research & Therapy
- Convolutional neural networks for multi-class brain disease detection using MRI images
- (2019) Muhammed Talo et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- Transfer learning with deep convolutional neural network for liver steatosis assessment in ultrasound images
- (2018) Michał Byra et al. International Journal of Computer Assisted Radiology and Surgery
- Application of convolutional neural network in the diagnosis of the invasion depth of gastric cancer based on conventional endoscopy
- (2018) Yan Zhu et al. GASTROINTESTINAL ENDOSCOPY
- Automatic Detection and Classification of Colorectal Polyps by Transferring Low-Level CNN Features From Nonmedical Domain
- (2017) Ruikai Zhang et al. IEEE Journal of Biomedical and Health Informatics
- Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
- (2016) Hoo-Chang Shin et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Ocular fundus reference images from optical coherence tomography
- (2014) Pedro Guimarães et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- Cellular composition characterizing postnatal development and maturation of the mouse brain and spinal cord
- (2012) YuHong Fu et al. Brain Structure & Function
- Improving Bioscience Research Reporting: The ARRIVE Guidelines for Reporting Animal Research
- (2010) Carol Kilkenny et al. PLOS BIOLOGY
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started