mdbrain

Artificial Intelligence analysis of lesion dynamics and brain volume in patients with multiple sclerosis

Integrated Biomarker–Volumetric Profiling Defines Neurodegenerative Subtypes and Predicts Neuroaxonal Injury in Multiple Sclerosis Based on Bayesian and Machine Learning Analyses

Prospective clinical evaluation of automatic lesion assessment in patients with multiple sclerosis

Automation bias in AI-assisted detection of cerebral aneurysms on time-of-flight MR angiography

AI-based assessment of longitudinal multiple sclerosis MRI: Strengths and weaknesses in clinical practice

Artificial intelligence–based rapid brain volumetry substantially improves differential diagnosis in dementia

Artificial intelligence can help detecting incidental intracranial aneurysm on routine brain MRI using TOF MRA data sets and improve the time required for analysis of these images

AI supported detection of cerebral multiple sclerosis lesions decreases radiologic reporting times

Changes in MRI Workflow of Multiple Sclerosis after Introduction of an AI-Software: A Qualitative Study

External evaluation of a deep learning-based approach for automated brain volumetry in patients with huntington’s disease

Impact of an AI software on the diagnostic performance and reading time for the detection of cerebral aneurysms on time of flight MR-angiography

Automated Detection of Cerebral Aneurysms on TOF-MRA Using a Deep Learning Approach: An External Validation Study

Triplanar U-Net with lesion-wise voting for the segmentation of new lesions on longitudinal MRI studies

Volumetry of Selected Brain Regions—Can We Compare MRI Examinations of Different Manufacturers and Field Strengths?

Brain Volume Changes after COVID-19 Compared to Healthy Controls by Artificial Intelligence-Based MRI Volumetry

Evaluation of Cerebral Volume Changes in Patients with Tremor Treated by MRgFUS Thalamotomy