2 citations · 3 across the 3 of their papers we have counts for
3 papers
Uncertainty-Aware Generative Oversampling Using an Entropy-Guided Conditional Variational Autoencoder
Amirhossein Zare, Amirhessam Zare, Parmida Sadat Pezeshki +5
Class imbalance remains a major challenge in machine learning, especially for high-dimensional biomedical data where nonlinear manifold structures dominate. Traditional oversamplin…
MedVQA-TREE: A Multimodal Reasoning and Retrieval Framework for Sarcopenia Prediction
Pardis Moradbeiki, Nasser Ghadiri, Sayed Jalal Zahabi +3
Accurate sarcopenia diagnosis via ultrasound remains challenging due to subtle imaging cues, limited labeled data, and the absence of clinical context in most models. We propose Me…
Pulmonologists-Level lung cancer detection based on standard blood test results and smoking status using an explainable machine learning approach
Ricco Noel Hansen Flyckt, Louise Sjodsholm, Margrethe Høstgaard Bang Henriksen +7
Lung cancer (LC) remains the primary cause of cancer-related mortality, largely due to late-stage diagnoses. Effective strategies for early detection are therefore of paramount imp…