Lesion Segmentation in Moderate to Severe Traumatic Brain Injury: An NnU-Net Based Approach with Adaptive Normalization in the AIMS-TBI 2025 Challenge

Inhwa Son, Gaeun Lee, Sohyeon Sim, Kwang-Hyun Uhm. Lesion Segmentation in Moderate to Severe Traumatic Brain Injury: An NnU-Net Based Approach with Adaptive Normalization in the AIMS-TBI 2025 Challenge. In Spyridon Bakas, Emily L. Dennis, Mehdi Astaraki, Ujjwal Baid, Gian Marco Conte, Martha Foltyn-Dumitru, Zhifan Jiang, Dominic LaBella, Marie-Christin Metz, Udunna Anazodo, Maria Correia de Verdier, Florian Kofler, Hongwei Bran Li, Marius George Linguraru, Nazanin Maleki, editors, Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries - MICCAI 2025 Challenges: BraTS-Lighthouse 2025 and AIMS-TBI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings, Part II. Volume 16377 of Lecture Notes in Computer Science, pages 322-329, Springer, 2025. [doi]