Keywords
Artificial Intelligence; Multiple Sclerosis
Research group(s)
- High Field Magnetic Resonance Imaging and Spectroscopy
Research Area: musculoskeletal MR; neuroimaging; metabolic MR imaging and spectroscopy
Members:
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.