Category: Uncategorized

Title: Towards Fairness & Robustness in Machine Learning for Dermatology Abstract: Recent years have seen an overwhelming body of work on fairness and robustness in Machine Learning (ML) models. This is not unexpected, as it is an increasingly important concern as ML models are used to support decision-making in high-stakes applications such as mortgage lending, hiring, and diagnosis in…

🌟 Join Us for PRECISE: Precision Cancer Care in Africa!🌟 Theme: Improving Patient Outcomes through Accessible Diagnostic Imaging 🗓 FREE Registration: Now open until Sept. 21🔗 Register here: event.fourwaves.com/precise 🗓 Conference Schedule: Pre-Conference & Hackathon:📅 Sept. 23, 9:00 – 16:30 (West Africa Standard Time)📍 NICRAT Building, Abuja, Nigeria Conference Day 1 & Day 2:📅 Sept.…

MAI Lab is on a mission to transform breast cancer care in Nigeria with cutting-edge AI solutions. We’re launching an innovative project in Lagos and we are looking for passionate collaborators to make a real impact. Are you: If this sounds like you, we want you on our team! Apply now and be part of…

Title: Effective and reproducible data visualizations, with demos in Python Abstract: This talk explores the principles and practices of data visualization, with demonstrations in Python. We will cover best practices for creating transparent, shareable, and reproducible visualizations, emphasizing the importance of considering human perception when creating visualizations.Key topics include: 1) Data visualization principles and best…

Title: How can we explain medical image segmentation models? Abstract: Explainability is a crucial field of AI, and in medical image analysis in particular, to ensure building trust with the clinicians. In computer vision, most of the explainability works have historically focused on image classification, notably to produce saliency maps that highlight the pixels that…

Title: Generalizable and democratic AI: from classical techniques to modern neural networks Abstract: Every year, millions of brain MRI scans are acquired in hospitals, which is a figure considerably larger than the size of any research dataset. Therefore, the ability to analyze such scans could transform neuroimaging research – particularly for underrepresented populations that research-oriented…

Title: Continuous Evaluation of Denoising Strategies in fMRI Using fMRIPrep and Nilearn Abstract:  Functional magnetic resonance imaging (fMRI) signal measures changes in neuronal activity over time. The signal can be contaminated with unwanted noise, such as movement, which can impact research results. To fix this, researchers perform two steps before data analysis: standardised preprocessing and customised…

Title: Improving Anatomical Plausibility and Auditing Fairness in Deep Segmentation Networks Abstract: The evolution of deep segmentation networks has empowered the enhancement of extensive medical imaging datasets with automatically generated anatomical segmentation masks. In this talk we will discuss recent methods we proposed to improve anatomical plausibility in deep segmentation networks. By improving anatomical plausibility, we…

The inaugural SPARK Academy, in collaboration with McMedHacks, supported by McGill University Graduate Mobility Awards and Compute Canada, took place from April 3rd to August 31st, 2023. The program focused on addressing the pressing issue of cancer diagnosis in sub-Saharan Africa (SSA), with an emphasis on preparing trainees to participate in the 2023 MICCAI brain tumor segmentation challenge (BraTS). SPARK 2023…

About MAI Lab: The Medical Artificial Intelligence Laboratory (MAI Lab) based in Lagos, Nigeria is at the forefront of cutting-edge research, aiming to revolutionize healthcare in sub-Saharan Africa through the integration of medicine with artificial intelligence. Our multidisciplinary team is committed to advancing knowledge, addressing healthcare disparities, and promoting innovation in medical technology. About the…