Day 1: Matthew French, Auckland-Boston Workshop on AI-Driven Medical Imaging скачать в хорошем качестве

Day 1: Matthew French, Auckland-Boston Workshop on AI-Driven Medical Imaging

SPEAKER: Matthew French (Auckland Bioengineering Institute, University of Auckland) TALK: Diffeomorphic Multi-Resolution Deep Learning Registration Applied to Breast MRI. In breast surgical planning, accurate registration of MR images across patient positions has the potential to improve the localisation of tumours during breast cancer treatment. While learning-based registration methods have recently become the state-of-the-art approach for most medical image registration tasks, these methods have yet to make inroads into breast image registration due to certain difficulties-the lack of rich texture information in breast MR images and the need for the deformations to be diffeomophic. In this work, we propose learning strategies for breast MR image registration that are amenable to diffeomorphic constraints, together with early experimental results from in-silico and in-vivo experiments. One key contribution of this work is a registration network which produces superior registration outcomes for breast images in addition to providing diffeomorphic guarantees. BIOGRAPHY: Matthew French, a PhD candidate at the Auckland Bioengineering Institute (ABI) at the University of Auckland, discovered his passion for bioengineering while working at leading health and deep tech start-ups in New Zealand, Soul Machines and HeartLab. He holds a mathematics and physics degree from the University of Canterbury, where he has been awarded scholarships for excellence in mathematics. In his PhD, he will spearhead the integration of physical laws into deep neural networks to address more complex registration problems and discover material properties of biological tissues. As an application, such an integrated approach will be suitable for mapping breast tissue between diagnostic and pre-operative positions, which is clinically relevant for breast cancer treatment planning. WORKSHOP OVERVIEW: We feature 12 talks from researchers in Auckland, NZ, and Boston, MA, USA, showcasing their latest work in AI-driven medical imaging and applications. Event details: Date: November 7th-8th, 2023 Location: Auckland Bioengineering Institute, Auckland, New Zealand Explore advancements in medical image processing techniques that have led to a revolution in research, diagnosis and treatment of diseases. This two-day workshop consists of 12 talks from researchers across Auckland, NZ, and Boston, MA, USA, on their latest work in medical image research and their applications. Keynote Speakers: Juan Eugenio Iglesias, Bruce Fischl, Gregory Sands & Poul Nielsen. Additional Speakers: Debbie Zhao, Jiantao Shen, Edward Ferdian, Matthew French, Kathleen E. Larson, Istvan Huszar, Yaël Balbastre & Sean I. Young.