Cross-Task Data Augmentation by Pseudo-label Generation for Region Based Coronary Artery Instance Segmentation
Fuente:
arXiv
Saved in:
| Main Authors: | Pokhrel, Sandesh, Bhandari, Sanjay, Vazquez, Eduard, Shrestha, Yash Raj, Bhattarai, Binod |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Surgical Vision World Model
by: Koju, Saurabh, et al.
Published: (2025)
by: Koju, Saurabh, et al.
Published: (2025)
TTA-OOD: Test-time Augmentation for Improving Out-of-Distribution Detection in Gastrointestinal Vision
by: Pokhrel, Sandesh, et al.
Published: (2024)
by: Pokhrel, Sandesh, et al.
Published: (2024)
How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets?
by: Khanal, Bidur, et al.
Published: (2024)
by: Khanal, Bidur, et al.
Published: (2024)
UP2D: Uncertainty-aware Progressive Pseudo-label Denoising for Source-Free Domain Adaptive Medical Image Segmentation
by: Bui-Tran, Quang-Khai, et al.
Published: (2025)
by: Bui-Tran, Quang-Khai, et al.
Published: (2025)
Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
by: Feng, Yihong, et al.
Published: (2025)
by: Feng, Yihong, et al.
Published: (2025)
NucleiMix: Realistic Data Augmentation for Nuclei Instance Segmentation
by: Wang, Jiamu, et al.
Published: (2024)
by: Wang, Jiamu, et al.
Published: (2024)
Investigating the Robustness of Vision Transformers against Label Noise in Medical Image Classification
by: Khanal, Bidur, et al.
Published: (2024)
by: Khanal, Bidur, et al.
Published: (2024)
Leveraging Fixed and Dynamic Pseudo-labels for Semi-supervised Medical Image Segmentation
by: Kumari, Suruchi, et al.
Published: (2024)
by: Kumari, Suruchi, et al.
Published: (2024)
FAD-Net: Frequency-Domain Attention-Guided Diffusion Network for Coronary Artery Segmentation using Invasive Coronary Angiography
by: Mu, Nan, et al.
Published: (2025)
by: Mu, Nan, et al.
Published: (2025)
High-fidelity Pseudo-labels for Boosting Weakly-Supervised Segmentation
by: Jonnarth, Arvi, et al.
Published: (2023)
by: Jonnarth, Arvi, et al.
Published: (2023)
Comparative Analysis of Data Augmentation for Retinal OCT Biomarker Segmentation
by: Unterdechler, Markus, et al.
Published: (2024)
by: Unterdechler, Markus, et al.
Published: (2024)
CAVE: Cerebral Artery-Vein Segmentation in Digital Subtraction Angiography
by: Su, Ruisheng, et al.
Published: (2022)
by: Su, Ruisheng, et al.
Published: (2022)
Unleashing Vision Foundation Models for Coronary Artery Segmentation: Parallel ViT-CNN Encoding and Variational Fusion
by: Dong, Caixia, et al.
Published: (2025)
by: Dong, Caixia, et al.
Published: (2025)
Deep Task-Based Beamforming and Channel Data Augmentations for Enhanced Ultrasound Imaging
by: Amar, Ariel, et al.
Published: (2025)
by: Amar, Ariel, et al.
Published: (2025)
Segmentation of Coronary Artery Stenosis in X-ray Angiography using Mamba Models
by: Rostami, Ali, et al.
Published: (2024)
by: Rostami, Ali, et al.
Published: (2024)
Targeted Semantic Segmentation of Himalayan Glacial Lakes Using Time-Series SAR: Towards Automated GLOF Early Warning
by: Adhikari, Pawan, et al.
Published: (2025)
by: Adhikari, Pawan, et al.
Published: (2025)
AGFA-Net: Attention-Guided and Feature-Aggregated Network for Coronary Artery Segmentation using Computed Tomography Angiography
by: Liu, Xinyun, et al.
Published: (2024)
by: Liu, Xinyun, et al.
Published: (2024)
Dual-Decoder Consistency via Pseudo-Labels Guided Data Augmentation for Semi-Supervised Medical Image Segmentation
by: Chen, Yuanbin, et al.
Published: (2023)
by: Chen, Yuanbin, et al.
Published: (2023)
Experimental Framework for Generating Reliable Ground Truth for Laryngeal Spatial Segmentation Tasks
by: Ghasemzadeh, Hamzeh, et al.
Published: (2024)
by: Ghasemzadeh, Hamzeh, et al.
Published: (2024)
A Deep Learning Model for Coronary Artery Segmentation and Quantitative Stenosis Detection in Angiographic Images
by: Huang, Baixiang, et al.
Published: (2024)
by: Huang, Baixiang, et al.
Published: (2024)
Instance Migration Diffusion for Nuclear Instance Segmentation in Pathology
by: Qi, Lirui, et al.
Published: (2025)
by: Qi, Lirui, et al.
Published: (2025)
Using Physics Informed Generative Adversarial Networks to Model 3D porous media
by: Ren, Zihan, et al.
Published: (2024)
by: Ren, Zihan, et al.
Published: (2024)
Diffusion-Based User-Guided Data Augmentation for Coronary Stenosis Detection
by: Seo, Sumin, et al.
Published: (2025)
by: Seo, Sumin, et al.
Published: (2025)
Advancing Medical Image Segmentation via Self-supervised Instance-adaptive Prototype Learning
by: Liang, Guoyan, et al.
Published: (2025)
by: Liang, Guoyan, et al.
Published: (2025)
LWT-ARTERY-LABEL: A Lightweight Framework for Automated Coronary Artery Identification
by: Zhang, Shisheng, et al.
Published: (2025)
by: Zhang, Shisheng, et al.
Published: (2025)
Using Diffusion Models to Generate Synthetic Labelled Data for Medical Image Segmentation
by: Saragih, Daniel, et al.
Published: (2023)
by: Saragih, Daniel, et al.
Published: (2023)
Beyond Strong labels: Weakly-supervised Learning Based on Gaussian Pseudo Labels for The Segmentation of Ellipse-like Vascular Structures in Non-contrast CTs
by: Ma, Qixiang, et al.
Published: (2024)
by: Ma, Qixiang, et al.
Published: (2024)
TOM: An Open-Source Tongue Segmentation Method with Multi-Teacher Distillation and Task-Specific Data Augmentation
by: Xie, Jiacheng, et al.
Published: (2025)
by: Xie, Jiacheng, et al.
Published: (2025)
Deep Supervision by Gaussian Pseudo-label-based Morphological Attention for Abdominal Aorta Segmentation in Non-Contrast CTs
by: Ma, Qixiang, et al.
Published: (2024)
by: Ma, Qixiang, et al.
Published: (2024)
AINet: Anchor Instances Learning for Regional Heterogeneity in Whole Slide Image
by: Zheng, Tingting, et al.
Published: (2026)
by: Zheng, Tingting, et al.
Published: (2026)
Generating 3D Pseudo-Healthy Knee MR Images to Support Trochleoplasty Planning
by: Wehrli, Michael, et al.
Published: (2024)
by: Wehrli, Michael, et al.
Published: (2024)
Language-Free Generative Editing from One Visual Example
by: Elezabi, Omar, et al.
Published: (2026)
by: Elezabi, Omar, et al.
Published: (2026)
Coronary Artery Disease Classification with Different Lesion Degree Ranges based on Deep Learning
by: Jiménez-Partinen, Ariadna, et al.
Published: (2024)
by: Jiménez-Partinen, Ariadna, et al.
Published: (2024)
Improving Lesion Segmentation in Medical Images by Global and Regional Feature Compensation
by: Wang, Chuhan, et al.
Published: (2025)
by: Wang, Chuhan, et al.
Published: (2025)
Synthetic Volumetric Data Generation Enables Zero-Shot Generalization of Foundation Models in 3D Medical Image Segmentation
by: Chakrabarty, Satrajit, et al.
Published: (2026)
by: Chakrabarty, Satrajit, et al.
Published: (2026)
Object Detection for Automated Coronary Artery Using Deep Learning
by: Keshavarz, Hadis, et al.
Published: (2023)
by: Keshavarz, Hadis, et al.
Published: (2023)
Automated Coronary Arteries Labeling Via Geometric Deep Learning
by: Li, Yadan, et al.
Published: (2022)
by: Li, Yadan, et al.
Published: (2022)
Functional Connectome Fingerprinting Using Convolutional and Dictionary Learning
by: Yashaswini, et al.
Published: (2025)
by: Yashaswini, et al.
Published: (2025)
Generative Data-engine Foundation Model for Universal Few-shot 2D Vascular Image Segmentation
by: Ge, Rongjun, et al.
Published: (2026)
by: Ge, Rongjun, et al.
Published: (2026)
A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization
by: Qi, Peng, et al.
Published: (2025)
by: Qi, Peng, et al.
Published: (2025)
Similar Items
-
Surgical Vision World Model
by: Koju, Saurabh, et al.
Published: (2025) -
TTA-OOD: Test-time Augmentation for Improving Out-of-Distribution Detection in Gastrointestinal Vision
by: Pokhrel, Sandesh, et al.
Published: (2024) -
How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets?
by: Khanal, Bidur, et al.
Published: (2024) -
UP2D: Uncertainty-aware Progressive Pseudo-label Denoising for Source-Free Domain Adaptive Medical Image Segmentation
by: Bui-Tran, Quang-Khai, et al.
Published: (2025) -
Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
by: Feng, Yihong, et al.
Published: (2025)