LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image - researchr publication authors

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Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Yihao Li, Hugo Le Boité, Ramin Tadayoni, Pascale Massin, Béatrice Cochener, Ikram Brahim, Gwenolé Quellec, Mathieu Lamard. LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image. In Xiaohuan Cao, Xuanang Xu, Islem Rekik, Zhiming Cui, Xi Ouyang, editors, Machine Learning in Medical Imaging - 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings, Part II. Volume 14349 of Lecture Notes in Computer Science, pages 22-32, Springer, 2023. [doi]

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