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Found 9 papers, 1 papers with code
Unsupervised Federated Domain Adaptation for Segmentation of MRI Images
Our approach enables the transfer of knowledge from several annotated source domains to adapt a model for effective use in an unannotated target domain.
Neural modulation enhancement using connectivity-based EEG neurofeedback with simultaneous fMRI for emotion regulation
We compared the efficiency of this connectivity-based neurofeedback to traditional activity-based neurofeedback through multiple experiments.
Multi-Scale Convolutional Neural Network for Automated AMD Classification using Retinal OCT Images
The workload of specialists and the healthcare system in this field has increased in recent years mainly due to the prevalence of population aging worldwide and the chronic nature of AMD.
CXR-Net: An Artificial Intelligence Pipeline for Quick Covid-19 Screening of Chest X-Rays
Module 1 was trained on a public dataset of 6395 CXRs with radiologist annotated lung contours to generate masks of the lungs that overlap the heart and large vasa.
Epistocracy Algorithm: A Novel Hyper-heuristic Optimization Strategy for Solving Complex Optimization Problems
This paper proposes a novel evolutionary algorithm called Epistocracy which incorporates human socio-political behavior and intelligence to solve complex optimization problems.
Lung Segmentation in Chest X-rays with Res-CR-Net
Deep Neural Networks (DNN) are widely used to carry out segmentation tasks in biomedical images.
Using image-extracted features to determine heart rate and blink duration for driver sleepiness detection
For estimating the blink duration, two strategies are used.
Cloud-based Deep Learning of Big EEG Data for Epileptic Seizure Prediction
To address these challenges, a cloud-based BCI system for the analysis of this big EEG data is presented.
Automatic and Manual Segmentation of Hippocampus in Epileptic Patients MRI
The hippocampus is a seminal structure in the most common surgically-treated form of epilepsy.
