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Anna Petrova

Department of Biomedical Imaging and Image-guided Therapy, Department of Neurology
Position: PHD Student

ORCID: 0009-0002-2835-5148


Artificial Intelligence; Multiple Sclerosis

Research interests

I am currently using deep learning for lesion segmentation in the context of analyzing Multiple Sclerosis (MS). I employ deep learning techniques, including Convolutional Neural Networks (CNNs) and other advanced models, to automatically identify and delineate lesions associated with Multiple Sclerosis for medical purposes. These images are typically acquired using techniques such as Magnetic Resonance Imaging (MRI), specifically 7 Tesla multi-contrast MRI data.