Multimodal Disentangled Variational Autoencoder with Game Theoretic Interpretability for Glioma Grading

Information Science, Computer Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging,
Multimodal MRI   Glioma Grading   Variational Autoencoder   Image Fusion   Explainable AI   Radiomics   Machine Learning  

Application of Multi-modal Disentangled Variational Autoencoder and Game Theory Interpretability in Glioma Grading Background Gliomas are the most common primary brain tumors in the central nervous system. According to cellular activity and invasiveness, the World Health Organization (WHO) classifies them into grades I to IV, with grades I and II r...

Unsupervised Fusion of Misaligned PAT and MRI Images via Mutually Reinforcing Cross-Modality Image Generation and Registration

Information Science, Artificial Intelligence, Medicine, Medical Imaging,
Photoacoustic Tomography   Magnetic Resonance Imaging   Image Fusion   Multimodal Registration   Deep Learning  

Unsupervised Fusion of Unaligned PAT and MRI Images Using Mutually Enhancing Cross-Modality Image Generation and Registration Methods Background and Research Objectives In recent years, photoacoustic tomography (PAT) and magnetic resonance imaging (MRI) have been widely used in preclinical research as cutting-edge biomedical imaging techniques. PAT...