MRI Processing and Analysis Using Artificial Intelligence

Artificial intelligence is reshaping the landscape of medical imaging—driving faster, more precise, and cost-effective diagnostics. This talk will explore the multifaceted applications of AI across the imaging pipeline, from data pre-processing and subject classification to accelerating acquisition through intelligent upsampling. We will highlight recent advances from the Medical Image Computing Lab (MICLab), including AI-driven segmentation and parcellation of deep brain structures such as the hypothalamus, enabled by synthetic image generation and novel learning algorithms. Additionally, we will present how deep learning models are being developed to reconstruct MR spectroscopy data, offering new pathways to dramatically reduce scan times. Through these examples, the talk will illustrate how AI is not just augmenting current imaging practices, but fundamentally transforming them.