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xmed-lab's Projects

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IEEE TMI 2021: AdaCon: Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment

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

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CVPR 2024, "C^2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction"

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

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

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

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MICCAI 2023: Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation

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IEEE TMI 2022: Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction from Echocardiogram Videos

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ICONIP 2023: Dynamic Data Augmentation via Monte-Carlo Tree Search for Prostate MRI Segmentation

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

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

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MICCAI 2022: Free Lunch for Surgical Video Understanding by Distilling Self-Supervisions

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ICLR 2024: Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations

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AAAI 2022: Enhancing Pseudo Label Quality for Semi-Supervised Domain-Generalized Medical Image 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 Workshop 2023: Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification

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TMI 2023: FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition

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MICCAI 2023: FSDiffReg: Feature-wise and Score-wise Diffusion-guided Unsupervised Deformable Image Registration for Cardiac Images

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

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MICCAI 2023: GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation

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ICCV 2023, "GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation"

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J-BHI 2024: Exploiting Hierarchical Interactions for Protein Surface Learning

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Exploring Visual Interpretability for Contrastive Language-Image Pretraining

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CVPR M^3-UDA: A New Benchmark for Unsupervised Domain Adaptive Fetal Cardiac Structure Detection

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MICCAI 2023: Morphology-inspired Unsupervised Gland Segmentation via Selective Semantic Grouping

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