xmed-lab Goto Github PK
Name: xmed-lab
Type: Organization
Bio: Medical AI and Computer Vision Group, HKUST
Location: Hong Kong
Name: xmed-lab
Type: Organization
Bio: Medical AI and Computer Vision Group, HKUST
Location: Hong Kong
IEEE TMI 2021: AdaCon: Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment
CVPR 2024: AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation
CVPR 2024, "C^2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction"
MICCAI 2022: Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation
CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks
ICCV 2023: CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No
MICCAI 2023: Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation
IEEE TMI 2022: Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction from Echocardiogram Videos
ICONIP 2023: Dynamic Data Augmentation via Monte-Carlo Tree Search for Prostate MRI Segmentation
MICCAI 2023: DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation
MICCAI 2024: Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction
MICCAI 2023: Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction
MICCAI 2022: Free Lunch for Surgical Video Understanding by Distilling Self-Supervisions
ICLR 2024: Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
AAAI 2022: Enhancing Pseudo Label Quality for Semi-Supervised Domain-Generalized Medical Image Segmentation
MICCAI 2024: Vision-Language Open-Set Detectors for Bone Fenestration and Dehiscence Detection from Intraoral Images
MICCAI 2023: Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images
MICCAI Workshop 2023: Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification
TMI 2023: FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition
MICCAI 2023: FSDiffReg: Feature-wise and Score-wise Diffusion-guided Unsupervised Deformable Image Registration for Cardiac Images
NeurIPS 2023: Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation
MICCAI 2023: GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation
ICCV 2023, "GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation"
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