research
∙
07/11/2023
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions
Automating the monitoring of industrial processes has the potential to e...
share
research
∙
11/17/2022
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine
Artificial intelligence (AI) continues to transform data analysis in man...
research
∙
09/08/2021
Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning
Neuroimaging biomarkers that distinguish between typical brain aging and...
research
∙
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 ...
research
∙
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...
research
∙
08/15/2020
Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRI
The automated detection of cortical lesions (CLs) in patients with multi...
research
∙
06/21/2016