Magnetic resonance imaging (MRI) is one of the most effective technologies to assess the innermost structures of the human brain. The technology, which uses a magnetic field and radio waves to produce ...

"Imaging quality is important for visualizing brain anatomy and pathology and can ... The second AI model, named Brain MRI Enhancement foundation (BME-X), was built to improve overall imaging ...

Purpose: We investigate the feasibility of data-driven, model-free quantitative MRI (qMRI) protocol design on in vivo brain and prostate diffusion-relaxation imaging (DRI). Results: In both brain and ...

OASIS3 dataset Request data from official website. Segmentation labels for data simulation: To train a Brain-ID feature representation model of your own from scratch, one needs the segmentation labels ...

Abstract: Detecting brain tumours is challenging due to the complex brain anatomy and wide range of ... The performance of proposed model is evaluated on two datasets BraTS 2020 and BraTS 2018. The ...

These data confirm the value of the immature ferret as a model for studies of brain injury and development, relevant to both the preterm and term-born human infant. In addition, MRI can be an ...

14, 2025 — Researchers have developed an artificial intelligence (AI) model to detect the spread of metastatic brain cancer using MRI scans, offering insights into patients' cancer without ...

Kim explains. “UHF MRI studies in animal models can provide valuable insights into basic brain function, which can guide human neuroimaging studies and advance our understanding of human brain ...

studied how whole-brain neural activity is changed by chronic neuropathic pain using a spared nerve injury model. They found chronic pain-related neural ... MEMRI is proving useful as a method to ...