In our research lab, we are dedicated to pioneering advancements in in-vivo magnetic resonance imaging (MRI), spectroscopy (MRS), and the integration of advanced MRI techniques with AI and deep learning technologies. Our primary focus is on innovating non-invasive imaging solutions for a range of neurological and oncological conditions (including kidney tumors, prostate cancer, breast cancer, glioma, traumatic brain injuries (TBI), and the complexities associated with dementia).
Our investigations delve into the complex interplay of angiogenesis, metabolism, and tumor development. Leveraging state-of-the-art techniques such as radiogenomics, radiomics, and deep learning, we maximize the capabilities of multiparametric MRI (mpMRI), MR spectroscopy, arterial spin labeling (ASL), relaxometry, volumetry, and cutting-edge advanced diffusion MR techniques across varied cancer categories. Beyond mere innovation, our goal is to ensure a smooth transition of these MR methods into real-world clinical scenarios.
While cancer research forms our foundation, we are branching out, examining the symbiotic relationship between advanced MRI methods and transfer learning, especially in the context of Alzheimer's disease research. Our aspiration extends beyond understanding – we aim to diagnose and pave the way for effective management of this debilitating neurological condition.
Our vision is unwavering to pioneer early detection and minimize the invasiveness of cancer diagnostic procedures. We remain resolute in our mission to extend the frontiers of scientific understanding, mentor the next wave of research talent, and make a tangible impact in the overarching healthcare domain.
Embracing a multidisciplinary approach, we accentuate personalized medical strategies achieved through the continuous advancement and practical application of MR techniques. Rooted in the pillars of collaboration and innovation, we are set on redefining the panorama of dementia and cancer imaging, with the ultimate goal of enhancing patient care and outcomes.