Výsledky vyhledávání - "de Vareilles, Héloïse"

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The Explanation Necessity for Healthcare AI

Autor: Mamalakis, Michail, de Vareilles, Héloïse, Murray, Graham, Lio, Pietro, Suckling, John

Explainability is often critical to the acceptable implementation of artificial intelligence (AI). Nowhere is this more important than healthcare where decision-making directly impacts patients and trust in AI systems is essential. This trust is ofte

Externí odkaz: http://arxiv.org/abs/2406.00216

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Contrastive-Adversarial and Diffusion: Exploring pre-training and fine-tuning strategies for sulcal identification

Autor: Mamalakis, Michail, de Vareilles, Héloïse, Wu, Shun-Chin Jim, Agartz, Ingrid, Mørch-Johnsen, Lynn Egeland, Garrison, Jane, Simons, Jon, Lio, Pietro, Suckling, John, Murray, Graham

In the last decade, computer vision has witnessed the establishment of various training and learning approaches. Techniques like adversarial learning, contrastive learning, diffusion denoising learning, and ordinary reconstruction learning have becom

Externí odkaz: http://arxiv.org/abs/2405.19204

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An explainable three dimension framework to uncover learning patterns: A unified look in variable sulci recognition

Autor: Mamalakis, Michail, de Vareilles, Heloise, AI-Manea, Atheer, Mitchell, Samantha C., Arartz, Ingrid, Morch-Johnsen, Lynn Egeland, Garrison, Jane, Simons, Jon, Lio, Pietro, Suckling, John, Murray, Graham

The significant features identified in a representative subset of the dataset during the learning process of an artificial intelligence model are referred to as a 'global' explanation. Three-dimensional (3D) global explanations are crucial in neuroim

Externí odkaz: http://arxiv.org/abs/2309.00903

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