Cover Image

Label-Efficient Data Augmentation with Video Diffusion Models for Guidewire Segmentation in Cardiac Fluoroscopy

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pan, Shaoyan, Liu, Yikang, Zhao, Lin, Chen, Eric Z., Chen, Xiao, Chen, Terrence, Sun, Shanhui
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Spatiotemporal Diffusion Model with Paired Sampling for Accelerated Cardiac Cine MRI
by: Qiu, Shihan, et al.
Published: (2024)

Clinically Feasible Diffusion Reconstruction for Highly-Accelerated Cardiac Cine MRI
by: Qiu, Shihan, et al.
Published: (2024)

Retrieval-augmented Few-shot Medical Image Segmentation with Foundation Models
by: Zhao, Lin, et al.
Published: (2024)

Federated Data Model
by: Chen, Xiao, et al.
Published: (2024)

Leveraging Diffusion Model and Image Foundation Model for Improved Correspondence Matching in Coronary Angiography
by: Zhao, Lin, et al.
Published: (2025)

Auxiliary Input in Training: Incorporating Catheter Features into Deep Learning Models for ECG-Free Dynamic Coronary Roadmapping
by: Liu, Yikang, et al.
Published: (2024)

Adapting Vision Foundation Models for Real-time Ultrasound Image Segmentation
by: Zhang, Xiaoran, et al.
Published: (2025)

DiffDenoise: Self-Supervised Medical Image Denoising with Conditional Diffusion Models
by: Demir, Basar, et al.
Published: (2025)

Generalizing Segmentation Foundation Model Under Sim-to-real Domain-shift for Guidewire Segmentation in X-ray Fluoroscopy
by: Wen, Yuxuan, et al.
Published: (2024)

RAU: Reference-based Anatomical Understanding with Vision Language Models
by: Li, Yiwei, et al.
Published: (2025)

GS: Generative Segmentation via Label Diffusion
by: Chen, Yuhao, et al.
Published: (2025)

Shifting Adaptation from Weight Space to Memory Space: A Memory-Augmented Agent for Medical Image Segmentation
by: Chen, Bowen, et al.
Published: (2026)

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation
by: Niu, Quanzhu, et al.
Published: (2025)

Diffusion Model as a Generalist Segmentation Learner
by: Wang, Haoxiao, et al.
Published: (2026)

DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models
by: Islam, Khawar, et al.
Published: (2024)

AnatoMask: Enhancing Medical Image Segmentation with Reconstruction-guided Self-masking
by: Li, Yuheng, et al.
Published: (2024)

Invisible Clean-Label Backdoor Attacks for Generative Data Augmentation
by: Xiang, Ting, et al.
Published: (2026)

Less is Enough: Training-Free Video Diffusion Acceleration via Runtime-Adaptive Caching
by: Zhou, Xin, et al.
Published: (2025)

Shape-Sensitive Loss for Catheter and Guidewire Segmentation
by: Kongtongvattana, Chayun, et al.
Published: (2023)

Weakly-Supervised Semantic Segmentation with Image-Level Labels: from Traditional Models to Foundation Models
by: Chen, Zhaozheng, et al.
Published: (2023)

When Preference Labels Fall Short: Aligning Diffusion Models from Real Data
by: Chen, Weiyan, et al.
Published: (2026)

DreamJourney: Perpetual View Generation with Video Diffusion Models
by: Pan, Bo, et al.
Published: (2025)

Multi-Source Collaborative Style Augmentation and Domain-Invariant Learning for Federated Domain Generalization
by: Wei, Yikang
Published: (2025)

Using Diffusion Priors for Video Amodal Segmentation
by: Chen, Kaihua, 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)

DreamDA: Generative Data Augmentation with Diffusion Models
by: Fu, Yunxiang, et al.
Published: (2024)

Diffusion-based Data Augmentation for Nuclei Image Segmentation
by: Yu, Xinyi, et al.
Published: (2023)

Diffusion Model-Based Data Augmentation for Enhanced Neuron Segmentation
by: Jiang, Liuyun, et al.
Published: (2026)

Label-free Motion-Conditioned Diffusion Model for Cardiac Ultrasound Synthesis
by: Li, Zhe, et al.
Published: (2025)

Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video Object Segmentation
by: Zhu, Zixin, et al.
Published: (2024)

FlexAttention for Efficient High-Resolution Vision-Language Models
by: Li, Junyan, et al.
Published: (2024)

MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation
by: Xie, Jiahao, et al.
Published: (2023)

MultiMotion: Multi Subject Video Motion Transfer via Video Diffusion Transformer
by: Liu, Penghui, et al.
Published: (2025)

Latent Interpolation Learning Using Diffusion Models for Cardiac Volume Reconstruction
by: Bubeck, Niklas, et al.
Published: (2025)

DVIS-DAQ: Improving Video Segmentation via Dynamic Anchor Queries
by: Zhou, Yikang, et al.
Published: (2024)

LEAF: Latent Diffusion with Efficient Encoder Distillation for Aligned Features in Medical Image Segmentation
by: Huang, Qilin, et al.
Published: (2025)

Ca2-VDM: Efficient Autoregressive Video Diffusion Model with Causal Generation and Cache Sharing
by: Gao, Kaifeng, et al.
Published: (2024)

When and What: Diffusion-Grounded VideoLLM with Entity Aware Segmentation for Long Video Understanding
by: Fang, Pengcheng, et al.
Published: (2025)

Adaptive Augmentation-Aware Latent Learning for Robust LiDAR Semantic Segmentation
by: Li, Wangkai, et al.
Published: (2026)

ExVideo: Extending Video Diffusion Models via Parameter-Efficient Post-Tuning
by: Duan, Zhongjie, et al.
Published: (2024)