Výsledky vyhledávání - "Ward, Thomas M."

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Concept Graph Neural Networks for Surgical Video Understanding

Autor: Ban, Yutong, Eckhoff, Jennifer A., Ward, Thomas M., Hashimoto, Daniel A., Meireles, Ozanan R., Rus, Daniela, Rosman, Guy

We constantly integrate our knowledge and understanding of the world to enhance our interpretation of what we see. This ability is crucial in application domains which entail reasoning about multiple entities and concepts, such as AI-augmented surger

Externí odkaz: http://arxiv.org/abs/2202.13402

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SUPR-GAN: SUrgical PRediction GAN for Event Anticipation in Laparoscopic and Robotic Surgery

Autor: Ban, Yutong, Rosman, Guy, Eckhoff, Jennifer A., Ward, Thomas M., Hashimoto, Daniel A., Kondo, Taisei, Iwaki, Hidekazu, Meireles, Ozanan R., Rus, Daniela

Comprehension of surgical workflow is the foundation upon which artificial intelligence (AI) and machine learning (ML) holds the potential to assist intraoperative decision-making and risk mitigation. In this work, we move beyond mere identification

Externí odkaz: http://arxiv.org/abs/2105.04642

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