Ultrafast functional Doppler ultrasound (fUS) is based on the principles of conventional Doppler ultrasonography but operates ...

In this section, we present the results obtained from the 5-fold cross-validation and discuss the statistical analyses conducted to evaluate the performance of our nnU-Net based automatic segmentation ...

This is a Python repository for recovering weights or re-training a multimodal masked autoencoder on anatomical brain MRIs. It naturally handles missing modalities and processes any combination of ...

April 28, 2025 Coconut used in first 3D MRI image in the 1970s now lives in Old City Nobel Prize-winning chemist Paul Lauterbur used the fruit in his experiments. The Science History Institute ...

Researchers have demonstrated the safety of using high field strength magnetic resonance imaging (MRI) with the 11.7 tesla (T) Iseult MRI machine, in humans, testing physiological, vestibular, ...

In prostate 3D MRI image segmentation methods, it is usually necessary to annotate each slice, and these annotations are generally time-consuming and specialized. In this study, we generate ...

Deep learning, particularly 3D U-Net architectures, has revolutionised medical image analysis by leveraging volumetric data to capture spatial context, enhancing segmentation accuracy. This paper ...

The segmentation results can provide a basis for medical image registration, 3D reconstruction, and visualization. Generally, MRI images have defects such as partial volume effects, uneven grayscale, ...