Research Explorer
Papers
Conferences
Authors
Topics
Keywords
Trends
Achievements
Explore
← Back to papers
2024
MICCAI
MICCAI 2024
XTranPrune: eXplainability-aware Transformer Pruning for Bias Mitigation in Dermatological Disease Classification
🚀
Conference Pioneer
— MICCAI 2024
Authors
Ali Ghadiri
,
Maurice Pagnucco
,
Yang Song
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