A novel artificial intelligence approach can generate 3D brain MRI images using semantic segmentation masks, offering a breakthrough in medical image synthesis and privacy protection. This new ...

Advanced U-net segmentation model using residual grouped convolution and attention mechanism for brain tumor MRI image segmentation Peer-Reviewed Publication Beijing Zhongke Journal Publising Co. Ltd.

Andrew Zhou’s 3D U-Net Model Advances Brain Metastasis Segmentation and Streamlines MRI-to-3D Surgical Planning on HoloLens, Featured in XYZ Media's “Next Generation of Innovators” ...

ARGA-Unet: Advanced U-net segmentation model using residual grouped convolution and attention mechanism for brain tumor MRI image segmentation. Virtual Reality & Intelligent Hardware.

Image transformation Brain scan slices acquired with a portable, low-field Hyperfine MRI scanner (top row) and corresponding slices output by the LF-SynthSR algorithm (bottom row). The Hyperfine scan ...

A multidisciplinary team has devised a new approach to 3D imaging that captures DNA methylation, a key epigenetic change associated with learning in the brain. The scientists say their proof-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.

ARGA-Unet: Advanced U-net segmentation model using residual grouped convolution and attention mechanism for brain tumor MRI image segmentation. Virtual Reality & Intelligent Hardware.