Developed a Vision Transformer (ViT) model for brain tumor classification from MRI images, performing data preprocessing, augmentation, training, and evaluation. Achieved 98.46% test accuracy with ...

This repository explores multiple deep learning pipelines (Pix2Pix, improved GAN variants) to synthesize CT images from MRI scans, with a focus on clinical-quality reconstruction and robust evaluation ...

The ExactVu micro-ultrasound platform is noninferior to MRI in detecting clinically significant prostate cancer in biopsy-naïve men. Microultrasonography offers a cost-effective, in-office alternative ...

Dr. Mohammed Iqbal watches a monitor in a control room behind the operating room at Dell Children's Medical Center. An image of a brain lights up with green, yellow and blue areas to denote that ...

WEST LAFAYETTE, Ind. — The same technology behind MRI images of injury or disease also powers nuclear magnetic resonance (NMR) spectroscopy, which is used to analyze biological molecules for research ...

Abstract: The integration of artificial intelligence (AI) in medical imaging has revolutionized diagnostic accuracy, particularly for X-ray and MRI scans. This paper presents a novel AI-driven ...

Magnetic resonance imaging (MRI) requires children to remain still for extended periods, often necessitating sedation, which carries risks and raises costs. Non-pharmacologic strategies such as video ...