An Anatomically-Informed 3D CNN for Brain Aneurysm Classification with Weak Labels - researchr publication authors

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Tommaso Di Noto, Guillaume Marie, Sébastien Tourbier, Yasser Alemán-Gómez, Guillaume Saliou, Meritxell Bach Cuadra, Patric Hagmann, Jonas Richiardi. An Anatomically-Informed 3D CNN for Brain Aneurysm Classification with Weak Labels. In Seyed Mostafa Kia, Hassan Mohy-ud-Din, Ahmed Abdulkadir, Cher Bass, Mohamad Habes, Jane Maryam Rondina, Chantal M. W. Tax, Hongzhi Wang 0002, Thomas Wolfers, Saima Rathore, Madhura Ingalhalikar, editors, Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology - Third International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings. Volume 12449 of Lecture Notes in Computer Science, pages 56-66, Springer, 2020. [doi]

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