eLife

Distinct sensorimotor encoding in tuft dendrites and somata associated with action, correction, and learning

This important study reveals distinct representations of task-related information in the dendrites and somata of cortical neurons during sensorimotor learning and behavioral adaptation. The evidence ...
IEEE

A Hybrid Brain Tumor Classification Using FL With FedAvg and FedProx for Privacy and Robustness Across Heterogeneous Data Sources

Abstract: Data privacy and heterogeneity among healthcare settings present fundamental challenges to machine learning (ML) brain tumor classification (BTC) model development based on local data. In ...
The Lancet

Deep learning for H&E-based meningioma molecular classification and outcome prediction: a retrospective cohort study

To our knowledge, this study is the first to apply deep learning models that can, beyond diagnosis, identify molecular subtypes and predict outcomes in a single brain tumour entity (meningioma) using ...
Neurology Advisor

Multimodal Deep Learning Model Improves CT-Based Alzheimer Disease Classification

A multimodal deep learning framework trained on paired CT and MRI data demonstrated improved diagnostic accuracy when classifying patients with Alzheimer disease, mild cognitive impairment, or normal ...
IEEE

MAGICIAN: Malware classification Approach through Generation Image using a Conditional and wassersteIn generative Adversarial Network variants

Abstract: One of the main challenges of cybersecurity is the detection and classification of malware to prevent damage to systems by both companies and private users. Identifying the specific type of ...