← Back to papers

2024 MICCAI MICCAI 2024

SinoSynth: A Physics-based Domain Randomization Approach for Generalizable CBCT Image Enhancement

🚀 Conference Pioneer — MICCAI 2024

Authors

Yunkui Pang , Yilin Liu , Xu Chen , Pew-Thian Yap , Jun Lian

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