Open Heart

Development and validation of a deep learning model for severe mitral stenosis detection from chest X-rays

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...

The Curl Pattern Chart Is Long Overdue for an Upgrade

The 30-year-old system that classifies hair texture with letters and numbers overlooks science and enforces racial biases.

Single-image method can accurately evaluate fibrous material porosity

Researchers from Skoltech Engineering Center's Hierarchically Structured Materials Laboratory have developed a new method to ...
Aalto University

Master’s thesis position (M.Sc. student) in Deep Learning for Healthcare

Master’s thesis position (M.Sc. student) in Deep Learning for Healthcare.
Scientific Research Publishing

Applying Deep Learning Techniques for Automated Analysis and Interpretation of Financial Statements ()

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...
IEEE

Performance Evaluation of Transfer Learning Based Medical Image Classification Techniques for Disease Detection

Medical image classification plays an increasingly vital role in identifying various diseases by classifying medical images, such as X-rays, MRIs and CT scans, into different categories based on their ...
IEEE

Cross-Domain Retinopathy Classification Based on Optical Coherence Tomography Sensors via Domain Adversarial Graph Convolutional Network

Abstract: Optical coherence tomography (OCT) sensor system, known for their high precision and noninvasive imaging capabilities, can capture detailed structural information of retinal tissue.