BiSegMamba is a bidirectional tri-oriented Mamba architecture that improves performance and reduces FLOPs in 3D medical image segmentation across brain, cardiac, abdominal, and vascular tasks.
The brain tumor segmentation in pediatrics (brats-peds) challenge: focus on pediatrics (cbtn-connect-dipgr-asnr-miccai brats-peds),
3 Pith papers cite this work. Polarity classification is still indexing.
fields
cs.CV 3representative citing papers
A baseline-trained energy manifold in MRI intensity space showed progressive drift toward the tumour regime in a recurrence case but not in a stable case, suggesting a segmentation-free longitudinal monitoring signal.
A radiomic-guided, lesion-aware ensemble with per-cluster post-processing yields strong segmentation across pediatric, meningioma, and metastasis MRI cohorts, though 'top-ranked' parity is asserted rather than shown.
citing papers explorer
-
BiSegMamba: Efficient Bidirectional Tri-Oriented Mamba for 3D Medical Image Segmentation
BiSegMamba is a bidirectional tri-oriented Mamba architecture that improves performance and reduces FLOPs in 3D medical image segmentation across brain, cardiac, abdominal, and vascular tasks.
-
Energy-based Tissue Manifolds for Longitudinal Multiparametric MRI Analysis
A baseline-trained energy manifold in MRI intensity space showed progressive drift toward the tumour regime in a recurrence case but not in a stable case, suggesting a segmentation-free longitudinal monitoring signal.
-
Adaptable Segmentation Pipeline for Diverse Brain Tumors with Radiomic-Guided Subtyping and Lesion-Wise Model Ensemble
A radiomic-guided, lesion-aware ensemble with per-cluster post-processing yields strong segmentation across pediatric, meningioma, and metastasis MRI cohorts, though 'top-ranked' parity is asserted rather than shown.