Cover Image

Geometrically Constrained Stenosis Editing in Coronary Angiography via Entropic Optimal Transport

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Jialin, Zhang, Zhuo, Cao, Yue, Lan, Guipeng, Wen, Jiabao, Xiao, Shuai, Yang, Jiachen
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

VDSB-GWSyn: Diffusion Schrödinger Bridge for Controllable and Anatomically Feasible Guidewire Synthesis in Coronary Angiography
by: Tang, Haoyuan, et al.
Published: (2026)

Myocardial Region-guided Feature Aggregation Net for Automatic Coronary artery Segmentation and Stenosis Assessment using Coronary Computed Tomography Angiography
by: Yao, Ni, et al.
Published: (2025)

Segmentation of Coronary Artery Stenosis in X-ray Angiography using Mamba Models
by: Rostami, Ali, et al.
Published: (2024)

FeDETR: a Federated Approach for Stenosis Detection in Coronary Angiography
by: Mineo, Raffaele, et al.
Published: (2024)

Blood Pressure Prediction for Coronary Artery Disease Diagnosis using Coronary Computed Tomography Angiography
by: Lisasi, Rene, et al.
Published: (2025)

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

Prefer-DAS: Learning from Local Preferences and Sparse Prompts for Domain Adaptive Segmentation of Electron Microscopy
by: Chen, Jiabao, et al.
Published: (2026)

Prompt-DAS: Annotation-Efficient Prompt Learning for Domain Adaptive Semantic Segmentation of Electron Microscopy Images
by: Chen, Jiabao, et al.
Published: (2025)

Forgedit: Text Guided Image Editing via Learning and Forgetting
by: Zhang, Shiwen, et al.
Published: (2023)

Fine-tuning an ECG Foundation Model to Predict Coronary CT Angiography Outcomes
by: Xiao, Yujie, et al.
Published: (2025)

Coronary Artery Segmentation and Vessel-Type Classification in X-Ray Angiography
by: Yousefzadeh, Mehdi, et al.
Published: (2026)

Instance-Aware Pseudo-Labeling and Class-Focused Contrastive Learning for Weakly Supervised Domain Adaptive Segmentation of Electron Microscopy
by: Xiong, Shan, et al.
Published: (2025)

Point Cloud Compression via Constrained Optimal Transport
by: Li, Zezeng, et al.
Published: (2024)

ARIADNE: A Perception-Reasoning Synergy Framework for Trustworthy Coronary Angiography Analysis
by: Jin, Zhan, et al.
Published: (2026)

CORA: A Pathology Synthesis Driven Foundation Model for Coronary CT Angiography Analysis and MACE Risk Assessment
by: Hao, Jinkui, et al.
Published: (2026)

Geometric Image Editing via Effects-Sensitive In-Context Inpainting with Diffusion Transformers
by: Zhang, Shuo, et al.
Published: (2026)

TAROT: Targeted Data Selection via Optimal Transport
by: Feng, Lan, et al.
Published: (2024)

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation
by: Xiao, Ruiqiang, et al.
Published: (2024)

HOT: Harmonic-Constrained Optimal Transport for Remote Photoplethysmography Domain Adaptation
by: Nguyen, Ba-Thinh, et al.
Published: (2026)

HairDiffusion: Vivid Multi-Colored Hair Editing via Latent Diffusion
by: Zeng, Yu, et al.
Published: (2024)

Diffusion-Based User-Guided Data Augmentation for Coronary Stenosis Detection
by: Seo, Sumin, et al.
Published: (2025)

UniGeo: Unifying Geometric Guidance for Camera-Controllable Image Editing via Video Models
by: Jiang, Hong, et al.
Published: (2026)

FAD-Net: Frequency-Domain Attention-Guided Diffusion Network for Coronary Artery Segmentation using Invasive Coronary Angiography
by: Mu, Nan, et al.
Published: (2025)

Optimal Transport for Rectified Flow Image Editing: Unifying Inversion-Based and Direct Methods
by: Lupascu, Marian, et al.
Published: (2025)

Multimodal Industrial Anomaly Detection via Geometric Prior
by: Li, Min, et al.
Published: (2026)

AngioDG: Interpretable Channel-informed Feature-modulated Single-source Domain Generalization for Coronary Vessel Segmentation in X-ray Angiography
by: Atwany, Mohammad, et al.
Published: (2025)

Integrated Pipeline for Coronary Angiography With Automated Lesion Profiling, Virtual Stenting, and 100-Vessel FFR Validation
by: Kopanitsa, Georgy, et al.
Published: (2025)

CDSA-Net:Collaborative Decoupling of Vascular Structure and Background for High-Fidelity Coronary Digital Subtraction Angiography
by: Li, Si, et al.
Published: (2026)

NeRF-CA: Dynamic Reconstruction of X-ray Coronary Angiography with Extremely Sparse-views
by: Maas, Kirsten W. H., et al.
Published: (2024)

NerT-CA: Efficient Dynamic Reconstruction from Sparse-view X-ray Coronary Angiography
by: Maas, Kirsten W. H., et al.
Published: (2025)

The Devil is in Attention Sharing: Improving Complex Non-rigid Image Editing Faithfulness via Attention Synergy
by: Chen, Zhuo, et al.
Published: (2025)

MLV-Edit: Towards Consistent and Highly Efficient Editing for Minute-Level Videos
by: Cao, Yangyi, et al.
Published: (2026)

Fundus to Fluorescein Angiography Video Generation as a Retinal Generative Foundation Model
by: Zhang, Weiyi, et al.
Published: (2024)

VEELA: A Clinically-Constrained Benchmark for Liver Vessel Segmentation in Computed Tomography Angiography
by: Yazıcı, Ziya Ata, et al.
Published: (2026)

Efficient Transferable Optimal Transport via Min-Sliced Transport Plans
by: Liu, Xinran, et al.
Published: (2025)

Recover and Match: Open-Vocabulary Multi-Label Recognition through Knowledge-Constrained Optimal Transport
by: Tan, Hao, et al.
Published: (2025)

Taming Flow Matching with Unbalanced Optimal Transport into Fast Pansharpening
by: Cao, Zihan, et al.
Published: (2025)

A Lightweight Brain-Inspired Machine Learning Framework for Coronary Angiography: Hybrid Neural Representation and Robust Learning Strategies
by: Xia, Jingsong, et al.
Published: (2026)

MatE: Material Extraction from Single-Image via Geometric Prior
by: Zhang, Zeyu, et al.
Published: (2025)

Tuning-Free Image Editing with Fidelity and Editability via Unified Latent Diffusion Model
by: Mao, Qi, et al.
Published: (2025)