Domain generalization for medical image analysis: A survey
Medical Image Analysis (MedIA) has become an essential tool in medicine and healthcare,
aiding in disease diagnosis, prognosis, and treatment planning, and recent successes in …
aiding in disease diagnosis, prognosis, and treatment planning, and recent successes in …
Exploring the Frontier: Transformer-Based Models in EEG Signal Analysis for Brain-Computer Interfaces
This review systematically explores the application of transformer-based models in EEG
signal processing and brain-computer interface (BCI) development, with a distinct focus on …
signal processing and brain-computer interface (BCI) development, with a distinct focus on …
Don't Push the Button! Exploring Data Leakage Risks in Machine Learning and Transfer Learning
Machine Learning (ML) has revolutionized various domains, offering predictive capabilities
in several areas. However, with the increasing accessibility of ML tools, many practitioners …
in several areas. However, with the increasing accessibility of ML tools, many practitioners …
[HTML][HTML] Interpreting the latent space of a Convolutional Variational Autoencoder for semi-automated eye blink artefact detection in EEG signals
Electroencephalography (EEG) allows the investigation of brain activity. However, neural
signals often contain artefacts, hindering signal analysis. For example, eye-blink artefacts …
signals often contain artefacts, hindering signal analysis. For example, eye-blink artefacts …
Domain Generalization for Medical Image Analysis: A Review
Medical image analysis (MedIA) has become an essential tool in medicine and healthcare,
aiding in disease diagnosis, prognosis, and treatment planning, and recent successes in …
aiding in disease diagnosis, prognosis, and treatment planning, and recent successes in …