← Back to papers

2024 MICCAI MICCAI 2024

HAMIL-QA: Hierarchical Approach to Multiple Instance Learning for Atrial LGE MRI Quality Assessment

🚀 Conference Pioneer — MICCAI 2024

Authors

K. M. Arefeen Sultan , Md Hasibul Husain Hisham , Benjamin Orkild , Alan Morris , Eugene Kholmovski , Erik Bieging , Eugene Kwan , Ravi Ranjan , Ed DiBella , Shireen Y. Elhabian

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