conftrace_

← Back to papers

2024 MICCAI MICCAI 2024

Spatiotemporal Representation Learning for Short and Long Medical Image Time Series

🚀 Conference Pioneer - MICCAI 2024

Authors

Chengzhi Shen , Martin J. Menten , Hrvoje Bogunović , Ursula Schmidt-Erfurth , Hendrik P. N. Scholl , Sobha Sivaprasad , Andrew Lotery , Daniel Rueckert , Paul Hager , Robbie Holland

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