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 ...
European roboticists today released a powerful open-source artificial intelligence model that acts as a brain for industrial robots—helping them grasp and manipulate things with new dexterity. The new ...
WESTWEGO, La. — Robin Phillip’s fresh haircut is dyed her favorite color — green. But beneath the dye job is a scar that runs along the side of her head, the result of two craniotomies. For years, ...
From Case Western Reserve University School of Medicine and Cleveland Clinic, investigators report that depot medroxyprogesterone acetate use was associated with a higher relative risk of meningioma ...
1 Department of Mathematics and Statistics, Loyola University Chicago, Chicago, IL, USA. 2 Department of Mathematics and Computer Science, Islamic Azad University, Science and Research Branch, Tehran, ...
ABSTRACT: Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving ...
Purpose: Brain tumor segmentation with MRI is a challenging task, traditionally relying on manual delineation of regions-of-interest across multiple imaging sequences. However, this data-intensive ...
Focal cortical dysplasia (FCD) type II is a common cause of epilepsy and is challenging to detect due to its similarities with other brain conditions. Finding these lesions accurately is essential for ...
Abstract: Accurate brain tumor segmentation in MRI scans is crucial for effective diagnosis and treatment planning, as even minor segmentation errors can lead to significant clinical concerns. However ...
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