conftrace_
← Back to papers
2024 MICCAI MICCAI 2024

A Universal and Flexible Framework for Unsupervised Statistical Shape Model Learning

🚀 Conference Pioneer - MICCAI 2024

Authors

Nafie El Amrani , Dongliang Cao , Florian Bernard
Download PDF

Related papers

ASPS: Augmented Segment Anything Model for Polyp Segmentation 2024
Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks 2024
Progressively Correcting Soft Labels via Teacher Team for Knowledge Distillation in Medical Image Segmentation 2024
SaSaMIM: Synthetic Anatomical Semantics-Aware Masked Image Modeling for Colon Tumor Segmentation in Non-contrast Abdominal Computed Tomography 2024
SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues 2024