xmed-lab

CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks

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MICCAI 2023: Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction

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MICCAI 2022: Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation

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MICCAI 2023: Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images

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MICCAI 2022: Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images

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ICCV 2023: CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No

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AAAI 2022: Uncertainty Estimation via Response Scaling for Pseudo-Mask Noise Mitigation in Weakly-Supervised Semantic Segmentation

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NeurIPS 2023: Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation

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MICCAI 2023: DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation

xmed-lab

CVPR 2024: AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation

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