This work presents an approach to the Generalizability Across Tumors (BraTS-GoAT) task of the BraTS 2026 Challenge, which focuses on robust segmentation of brain tumor sub-regions across a heterogeneous patient population. The proposed method employs the nnU-Net framework with a large residual encoder architecture, int...
Henrique Zan Grande, Jeovane Honorio Alves, R. Laroca et al.· 0 citations
This study systematically evaluates how individual MRI sequences influence model robustness across two well-known datasets, and shows that the T2f/FLAIR sequence achieves the best cross-dataset performance, with Dice scores exceeding 75%.
Henrique Zan Grande, João G. Pitol, Lucas B. Schuck et al.· 0 citations
A frame-independent audio-text system for the 3rd Ambivalence/Hesitancy Video Recognition Challenge at the 11th Affective&Behavior Analysis in-the-Wild (ABAW) Workshop, ranked third overall on the official challenge leaderboard.
L. F. B. F. Martins, Rodrigo W. Pisaia, M. Girardi et al.· arXiv.org· 1 citation
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.