Research Explorer
Papers
Conferences
Authors
Topics
Keywords
Trends
Achievements
Explore
← Back to papers
2024
MICCAI
MICCAI 2024
Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images
🚀
Conference Pioneer
— MICCAI 2024
Authors
Mareike Thies
,
Noah Maul
,
Siyuan Mei
,
Laura Pfaff
,
Nastassia Vysotskaya
,
Mingxuan Gu
,
Jonas Utz
,
Dennis Possart
,
Lukas Folle
,
Fabian Wagner
,
Andreas Maier
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