XLSTM-HVED combines a heteromodal variational encoder-decoder with Vision XLSTM and attention-based fusion to improve brain tumor segmentation under missing MRI modalities, reporting state-of-the-art Dice and HD95 on BraTS 2024.
Within this category, diffuse gliomas are the most frequently occurring malignant subtype
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
eess.IV 1years
2024 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
XLSTM-HVED: Cross-Modal Brain Tumor Segmentation and MRI Reconstruction Method Using Vision XLSTM and Heteromodal Variational Encoder-Decoder
XLSTM-HVED combines a heteromodal variational encoder-decoder with Vision XLSTM and attention-based fusion to improve brain tumor segmentation under missing MRI modalities, reporting state-of-the-art Dice and HD95 on BraTS 2024.