xmed-lab/SAHC xmed-lab/SAHC

  • Stars
    star
    12
  • Rank 1,597,372 (Top 32 %)
  • Language
    Python
  • Created almost 3 years ago
  • Updated over 2 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
xmed-lab/SAHC
github

xmed-lab

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

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

More Repositories

1

CLIP_Surgery

CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks
Jupyter Notebook
346
star
2

CLIPN

ICCV 2023: CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No
Python
120
star
3

GenericSSL

NeurIPS 2023: Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation
Python
78
star
4

AllSpark

CVPR 2024: AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation
Python
53
star
5

DIF-Net

MICCAI 2023: Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction
Python
51
star
6

TriALS

MICCAI 2024: nnUNet incorporating additional baselines as SAMed️, Mamba Variants, and MedNeXT to establish a benchmark for segmentation challenges.
Python
49
star
7

DHC

MICCAI 2023: DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation
Python
48
star
8

NuInstruct

46
star
9

RSCFed

CVPR 2022: RSCFed: Random Sampling Consensus Federated Semi-supervised Learning
Python
45
star
10

CLD-Semi

MICCAI 2022: Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation
Python
45
star
11

EPL_SemiDG

AAAI 2022: Enhancing Pseudo Label Quality for Semi-Supervised Domain-Generalized Medical Image Segmentation
Python
40
star
12

URN

AAAI 2022: Uncertainty Estimation via Response Scaling for Pseudo-Mask Noise Mitigation in Weakly-Supervised Semantic Segmentation
Python
38
star
13

OEEM

MICCAI 2022: Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images
Jupyter Notebook
33
star
14

GraphEcho

ICCV 2023, "GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation"
Python
32
star
15

DIF-Gaussian

MICCAI 2024: Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction
Python
28
star
16

FSDiffReg

MICCAI 2023: FSDiffReg: Feature-wise and Score-wise Diffusion-guided Unsupervised Deformable Image Registration for Cardiac Images
Python
27
star
17

C2RV-CBCT

CVPR 2024, "C^2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction"
Python
24
star
18

UCVME

AAAI 2023: Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks
Python
24
star
19

FDDM

MICCAI 2023: Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images
Python
23
star
20

AdaCon

IEEE TMI 2021: AdaCon: Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment
Python
20
star
21

CSS-SemiVideo

IEEE TMI 2022: Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction from Echocardiogram Videos
Python
16
star
22

TimeStamp-Surgical

TMI 2023: Less is More: Surgical Phase Recognition from Timestamp Supervision
Python
15
star
23

ECBM

ICLR 2024: Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
Jupyter Notebook
15
star
24

CPR

MICCAI 2023: Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation
Python
14
star
25

HCGNet

J-BHI 2024: Exploiting Hierarchical Interactions for Protein Surface Learning
Python
14
star
26

Fed-MAS

MICCAI 2023 DeCaF Best Paper Award: Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification
Python
12
star
27

SC-Cor

ECCV 2022: Learning Shadow Correspondence for Video Shadow Detection
Python
12
star
28

DistillingSelf

MICCAI 2022: Free Lunch for Surgical Video Understanding by Distilling Self-Supervisions
Python
11
star
29

ICLIP

Exploring Visual Interpretability for Contrastive Language-Image Pretraining
11
star
30

RIDL

MICCAI 2023: Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes
Python
9
star
31

FreeSeg

FreeSeg: Free Mask from Interpretable Contrastive Language-Image Pretraining for Semantic Segmentation
9
star
32

TripleE-DG

Python
8
star
33

MSSG

MICCAI 2023: Morphology-inspired Unsupervised Gland Segmentation via Selective Semantic Grouping
Python
7
star
34

SCAN

Python
6
star
35

DiffCMR

Python
6
star
36

FoPro-KD

TMI 2023: FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition
6
star
37

ToMo-UDA

[ICML' 24] Unsupervised Domain Adaptation for Anatomical Structure Detection in Ultrasound Images.
Python
6
star
38

FD-SOS

MICCAI 2024 Oral: Vision-Language Open-Set Detectors for Bone Fenestration and Dehiscence Detection from Intraoral Images
Python
5
star
39

M3-UDA

CVPR M^3-UDA: A New Benchmark for Unsupervised Domain Adaptive Fetal Cardiac Structure Detection
Python
5
star
40

CLSS

Python
4
star
41

SEDSkill

Python
4
star
42

VDPL

Variance-Aware Domain-Augmented Pseudo Labeling for Semi-Supervised Domain Generalization on Medical Image Segmentation
Python
3
star
43

GL-Fusion

MICCAI 2023: GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation
Python
3
star
44

NumCLIP

[ECCV 2024] Teach CLIP to Develop a Number Sense for Ordinal Regression
Python
3
star
45

DrugRec

Python
3
star
46

CardiacNet

Python
2
star
47

NGOAT

1
star
48

GPTrack

1
star
49

DDAug

ICONIP 2023: Dynamic Data Augmentation via Monte-Carlo Tree Search for Prostate MRI Segmentation
Python
1
star
50

CoFA

1
star