Mesoscale Brain Mapping: Bridging Scales and Modalities in Neuroimaging–A Symposium Review
JK Marchant, NG Ferris, D Grass, MS Allen… - Neuroinformatics, 2024 - Springer
Advances in the spatiotemporal resolution and field-of-view of neuroimaging tools are
driving mesoscale studies for translational neuroscience. On October 10, 2023, the Center …
driving mesoscale studies for translational neuroscience. On October 10, 2023, the Center …
Beyond the Conventional Structural MRI: Clinical Application of Deep Learning Image Reconstruction and Synthetic MRI of the Brain
Recent technological advancements have revolutionized routine brain magnetic resonance
imaging (MRI) sequences, offering enhanced diagnostic capabilities in intracranial disease …
imaging (MRI) sequences, offering enhanced diagnostic capabilities in intracranial disease …
Time‐efficient, high‐resolution 3T whole‐brain relaxometry using 3D‐QALAS with wave‐CAIPI readouts
Purpose Volumetric, high‐resolution, quantitative mapping of brain‐tissue relaxation
properties is hindered by long acquisition times and SNR challenges. This study combines …
properties is hindered by long acquisition times and SNR challenges. This study combines …
Self‐supervised learning for improved calibrationless radial MRI with NLINV‐Net
M Blumenthal, C Fantinato… - Magnetic …, 2024 - Wiley Online Library
Purpose To develop a neural network architecture for improved calibrationless
reconstruction of radial data when no ground truth is available for training. Methods NLINV …
reconstruction of radial data when no ground truth is available for training. Methods NLINV …
Advancing clinical MRI exams with artificial intelligence: Japan's contributions and future prospects
In this narrative review, we review the applications of artificial intelligence (AI) into clinical
magnetic resonance imaging (MRI) exams, with a particular focus on Japan's contributions …
magnetic resonance imaging (MRI) exams, with a particular focus on Japan's contributions …
[HTML][HTML] Fast Whole-Brain MR Multi-Parametric Mapping with Scan-Specific Self-Supervised Networks
Quantification of tissue parameters using MRI is emerging as a powerful tool in clinical
diagnosis and research studies. The need for multiple long scans with different acquisition …
diagnosis and research studies. The need for multiple long scans with different acquisition …