Explore @xmed-lab Open Source projects

@xmed-lab

xmed-lab

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1,018
Global Org. Rank 14,825 (Top 5 %)
Registered over 2 years ago
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Python
91.4 %

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Location 🇭🇰 Hong Kong
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Jupyter Notebook
10

Python
59

CLIP_Surgery

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

Jupyter Notebook

CLIPN

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

GenericSSL

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

DHC

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

RSCFed

CVPR 2022: RSCFed: Random Sampling Consensus Federated Semi-supervised Learning

CLD-Semi

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

DIF-Net

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

EPL_SemiDG

AAAI 2022: Enhancing Pseudo Label Quality for Semi-Supervised Domain-Generalized Medical Image Segmentation

URN

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

OEEM

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

Jupyter Notebook

NuInstruct

AllSpark

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

GraphEcho

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

AdaCon

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

FSDiffReg

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

FDDM

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

UCVME

AAAI 2023: Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks

CPR

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

TimeStamp-Surgical

TMI 2023: Less is More: Surgical Phase Recognition from Timestamp Supervision

CSS-SemiVideo

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

SC-Cor

ECCV 2022: Learning Shadow Correspondence for Video Shadow Detection

C2RV-CBCT

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

ICLIP

Exploring Visual Interpretability for Contrastive Language-Image Pretraining

HCGNet

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

DistillingSelf

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

SAHC

IEEE TMI 2022: Exploring Segment-level Semantics for Online Phase Recognition from Surgical Videos

Fed-MAS

MICCAI Workshop 2023: Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification

FreeSeg

FreeSeg: Free Mask from Interpretable Contrastive Language-Image Pretraining for Semantic Segmentation

ECBM

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

Jupyter Notebook

TripleE-DG

RIDL

MICCAI 2023: Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes

MSSG

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

SCAN

DiffCMR

SEDSkill

FoPro-KD

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

GL-Fusion

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

CLSS

DDAug

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

M3-UDA

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

VDPL

Variance-Aware Domain-Augmented Pseudo Labeling for Semi-Supervised Domain Generalization on Medical Image Segmentation