You can now watch the webinar online here!
We are delighted to be joined by Dr Adamu Ali-Gombe for this SINAPSE webinar.
Title: AI-Driven Medical Imaging with MONAI
Abstract: The integration of artificial intelligence (AI) into medical image processing has transformed research and diagnostic workflows, enabling faster, more precise, and scalable imaging. This talk examines the crucial role of AI in healthcare imaging with a focus on MONAI (Medical Open Network for Artificial Intelligence) — an open-source, PyTorch-based framework designed for deep learning in medical imaging. It highlights how MONAI sets itself apart from other frameworks, emphasising its domain-specific architecture, modular design, and ease of integration with existing medical imaging tools. Furthermore, the talk looks at practical insights into image preprocessing pipelines, ranging from standard augmentation techniques with efficient data loaders to utilising pre-trained deep learning models within MONAI, which helps accelerate development and improve performance in low-data scenarios.
Bio: Dr Adamu Ali-Gombe is a Research Fellow at the Aberdeen Bio-Medical Imaging Centre at the University of Aberdeen. He is currently working on the PUFFINS Brain Health project, which focuses on developing AI models to assess brain health using Field Cycling MRI. Prior to this role, he was a Machine Learning Engineer at Mintra Limited, where he contributed to various AI projects, including the development of an identity verification system. Adamu has a PhD in Computing from Robert Gordon University and has worked in various domains, including biometrics, legacy engineering drawings, medical imaging, generative adversarial networks and others.