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An Efficient Cascade of U-Net-like Convolutional Neural Networks devoted to Brain Tumor Segmentation
Published in Lecture Notes in Computer Science, 2023
We propose a novel cascaded approach leveraging hierarchical inclusion of tumor labels to guide subsequent models to minute details in smaller labels.
Recommended citation: Bouchet, P et al. (2023). "An Efficient Cascade of U-Net-like Convolutional Neural Networks devoted to Brain Tumor Segmentation." LNCS. 1(3).
talks
teaching
Introduction to Deep Learning - Google Developer Student Club
Workshop, EPITA Amphitheater 401, 2022
During my time at EPITA, I had the opportunity to participate in the Google Developer Student Club (GDSC). I joined the club as a volunteer in 2022 with the goal of promoting deep learning concepts and their real-world applications to undergraduate students from Sorbonne University, Paris-Saclay, and EPITA. As part of this effort, I organized a presentation to approximately 100 students, to introduce deep learning in an accessible yet informative way, balancing clarity and depth. The aim was to provide students with a solid foundational understanding, and allowing those interested to explore further research in the field of AI.