Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration - researchr publication authors

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Abhijeet Parida, Antònia Alomar, Zhifan Jiang, Pooneh Roshanitabrizi, Austin Tapp, María J. Ledesma-Carbayo, Ziyue Xu 0001, Syed Muhammed Anwar, Marius George Linguraru, Holger R. Roth. Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration. In Xuanang Xu, Zhiming Cui, Islem Rekik, Xi Ouyang, Kaicong Sun, editors, Machine Learning in Medical Imaging - 15th International Workshop, MLMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings, Part II. Volume 15242 of Lecture Notes in Computer Science, pages 148-158, Springer, 2024. [doi]

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