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MPRAGE to MP2RAGE UNI translation via generative adversarial network improves the automatic tissue and lesion segmentation in multiple sclerosis patients

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MPRAGE to MP2RAGE UNI translation via generative adversarial network improves the automatic tissue and lesion segmentation in multiple sclerosis patients

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Development and clinical validation of computational imaging biomarkers for neurodegenerative diseases

SAGTTA: SALIENCY GUIDED TEST TIME AUGMENTATION FOR MEDICAL IMAGE SEGMENTATION ACROSS VENDOR DOMAIN SHIFT

Automated neuron tracking inside moving and deforming C. elegans using deep learning and targeted augmentation

Accurate Diagnosis of Cortical and Infratentorial Lesions in Multiple Sclerosis Using Accelerated Fluid and White Matter Suppression Imaging

Deep learning-based analysis of multiple sclerosis lesions with high and ultra-high field MRI

Automated Detection and Segmentation of Multiple Sclerosis Lesions Using Ultra-High-Field MP2RAGE

Brain tissue segmentation based on MP2RAGE multi-contrast images in 7 T MRI

Longitudinal analysis of white matter and cortical lesions in multiple sclerosis

Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network