This study presents a potentially valuable exploration of the role of thalamic nuclei in language processing. The results will be of interest to researchers interested in the neurobiology of language.

The Tyger framework enables faster, more accessible medical imaging by streaming raw data to the cloud for accelerated reconstruction—reducing patient wait times and discomfort—while empowering ...

MRI is an essential tool in diagnosis and management of prostate cancer. However, image quality and interpretation variability continue to hinder its broader adoption in clinical practice. To address ...

A comprehensive, actively maintained resource for MRI Super-Resolution covering papers, code, datasets, benchmarks, tutorials, courses, and talks, with a strong focus on MRI-specific challenges ...

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 ...

Deep learning project using TensorFlow CNN for Brain MRI image classification (Ischemic vs Hemorrhagic). Includes model training, evaluation, preprocessing, and result visualization.

In this tutorial, we build an Advanced OCR AI Agent in Google Colab using EasyOCR, OpenCV, and Pillow, running fully offline with GPU acceleration. The agent includes a preprocessing pipeline with ...

1 Department of Computer Science and Informatics, University of Nairobi, Nairobi, Kenya. 2 Department of Computer Science, Mountains of the Moon University, Fort Portal, Uganda. Magnetic Resonance ...

ABSTRACT: Magnetic Resonance Imaging (MRI) is commonly applied to clinical diagnostics owing to its high soft-tissue contrast and lack of invasiveness. However, its sensitivity to noise, attributable ...

Abstract: This study introduces an integrated framework of traditional and advanced enhancement algorithms to address common Magnetic Response Imaging (MRI) challenges such as noise, limited ...