Dimitrios Karkalousos successfully defended his PhD thesis, titled “Deep multitask learning for accelerating Magnetic Resonance Imaging”, on February 26, 2025, at the University of Amsterdam. His research focused on advancing the acceleration of Magnetic Resonance Imaging (MRI) through novel Artificial Intelligence approaches combining Deep Learning (DL) and MultiTask Learning (MTL). The thesis proposed three key contributions: the Cascades of Independently Recurrent Inference Machines (CIRIM), a physics-informed network for rapid high-quality MRI reconstruction with enhanced denoising capabilities; the establishment that reconstruction and segmentation tasks can be effectively combined through MTL; and the creation of the Advanced Toolbox for Multitask Medical Imaging Consistency (ATOMMIC) for standardized evaluation across multiple tasks. Dimitrios demonstrated that Deep MTL can significantly reduce MRI reconstruction times while enhancing image quality and analysis capabilities, with applications in large-scale worldwide reconstruction challenges and clinical neurological conditions.