A free and open-source software toolbox for whole-body muscle segmentation and analysis. We provide a step-by-step installation and usage tutorial video here. Note for existing users: If you ...

The other four types all fall short on at least one factor, limiting their use to specific, narrow training purposes. Leading universities and hospitals worldwide use Corsmed, including UCLH NHS, The ...

This study explores the use of radiomic features extracted from preoperative T2-weighted MRI and CT images, combined with machine learning models, to predict the risk of vertebral refracture after ...

aDepartment of MRI Center, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China bDepartment of Radiology Center, The First Affiliated Hospital of Xinxiang Medical ...

This repository TPDM is the official implementation of the paper Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models (arxiv). Proposed is a novel approach using two pre-trained 2D ...

The woman’s mysterious symptoms started in her stomach. Weeks of abdominal pain and diarrhea led to night sweats and a dry cough. Then, doctors found lesions on her lungs, liver and spleen. An ...

Improving the resolution of medical imaging systems and facial recognition algorithms has given rise to concerns about the identifiability of CT, MRI, and PET image data. In any imaging study ...

dMedical Image Computing, German Cancer Research Center, Heidelberg, Germany eClinical Cooperation Unit Neurooncology, German Cancer Research Center, Heidelberg, Germany mDepartment of Neurology and O ...

Introduction: Using MRI to synthesize CT and substitute its function in radiation therapy has drawn wide research interests. Currently, deep learning models have become the first choice for MRI—CT ...

Cortical atrophy is measured clinically according to established visual rating scales based on magnetic resonance imaging (MRI). Although brain MRI is the primary imaging marker for neurodegeneration, ...