Research Explorer
Papers
Conferences
Authors
Topics
Keywords
Trends
Achievements
Explore
← 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
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