Cover Image

CardiacFlow: 3D+t Four-Chamber Cardiac Shape Completion and Generation via Flow Matching

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ma, Qiang, Meng, Qingjie, Qiao, Mengyun, Matthews, Paul M., O'Regan, Declan P., Bai, Wenjia
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Cardiac Mesh Flow: One-Step Generation of 3D+t Cardiac Four-Chamber Meshes via Flow Matching
by: Ma, Qiang, et al.
Published: (2026)

Learning a dynamic four-chamber shape model of the human heart for 95,695 UK Biobank participants
by: Ma, Qiang, et al.
Published: (2026)

MCM: Mamba-based Cardiac Motion Tracking using Sequential Images in MRI
by: Yin, Jiahui, et al.
Published: (2025)

Generative 3D Cardiac Shape Modelling for In-Silico Trials
by: Gasparovici, Andrei, et al.
Published: (2024)

An AI Teaching Assistant for Motion Picture Engineering
by: O'Regan, Deirdre, et al.
Published: (2026)

Cardiac-CLIP: A Vision-Language Foundation Model for 3D Cardiac CT Images
by: Hu, Yutao, et al.
Published: (2025)

SegHeD: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints
by: Basaran, Berke Doga, et al.
Published: (2024)

The state-of-the-art in Cardiac MRI Reconstruction: Results of the CMRxRecon Challenge in MICCAI 2023
by: Lyu, Jun, et al.
Published: (2024)

Image-Based Whole-Heart Cardiac Flow Simulations in Health and Congenital Heart Disease
by: Kong, Fanwei, et al.
Published: (2026)

An All-in-one Approach for Accelerated Cardiac MRI Reconstruction
by: Hamedani, Kian Anvari, et al.
Published: (2024)

Boosting Cardiac Color Doppler Frame Rates with Deep Learning
by: Puig, Julia, et al.
Published: (2024)

Cardiac Segmentation on CT Images through Shape-Aware Contour Attentions
by: Park, Sanguk, et al.
Published: (2021)

UU-Mamba: Uncertainty-aware U-Mamba for Cardiac Image Segmentation
by: Tsai, Ting Yu, et al.
Published: (2024)

Multimodal Fusion of Echocardiography and Electronic Health Records for the Detection of Cardiac Amyloidosis
by: Feng, Zishun, et al.
Published: (2024)

Inline AI: Open-source Deep Learning Inference for Cardiac MR
by: Xue, Hui, et al.
Published: (2024)

UPMRI: Unsupervised Parallel MRI Reconstruction via Projected Conditional Flow Matching
by: Luo, Xinzhe, et al.
Published: (2025)

Unsupervised Accelerated MRI Reconstruction via Ground-Truth-Free Flow Matching
by: Luo, Xinzhe, et al.
Published: (2025)

Unsupervised Cardiac Video Translation Via Motion Feature Guided Diffusion Model
by: Deb, Swakshar, et al.
Published: (2025)

Accelerated Cardiac Parametric Mapping using Deep Learning-Refined Subspace Models
by: Sheagren, Calder D., et al.
Published: (2025)

Groupwise Image Registration with Edge-Based Loss for Low-SNR Cardiac MRI
by: Lei, Xuan, et al.
Published: (2024)

Shape of my heart: Cardiac models through learned signed distance functions
by: Verhülsdonk, Jan, et al.
Published: (2023)

Evaluation of Anatomical Shape Priors in Deep Learning-Based Cardiac Multi-Compartment Segmentation
by: Hudler, Michael, et al.
Published: (2026)

CardiacNet: Learning to Reconstruct Abnormalities for Cardiac Disease Assessment from Echocardiogram Videos
by: Yang, Jiewen, et al.
Published: (2024)

Physics-informed Score-based Diffusion Model for Limited-angle Reconstruction of Cardiac Computed Tomography
by: Han, Shuo, et al.
Published: (2024)

Classification of Mitral Regurgitation from Cardiac Cine MRI using Clinically-Interpretable Morphological Features
by: On, Y., et al.
Published: (2024)

Uncertainty Quantification for Cardiac Shape Reconstruction with Deep Signed Distance Functions via MCMC methods
by: Verhülsdonk, Jan, et al.
Published: (2026)

A Generalizable 3D Diffusion Framework for Low-Dose and Few-View Cardiac SPECT
by: Xie, Huidong, et al.
Published: (2024)

Efficient Post-processing of Diffusion Tensor Cardiac Magnetic Imaging Using Texture-conserving Deformable Registration
by: Wang, Fanwen, et al.
Published: (2023)

IntelliCardiac: An Intelligent Platform for Cardiac Image Segmentation and Classification
by: Tsai, Ting Yu, et al.
Published: (2025)

Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRI
by: Wang, Zi, et al.
Published: (2024)

A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts
by: Zhang, Xinru, et al.
Published: (2024)

Accelerating Cardiac MRI Reconstruction with CMRatt: An Attention-Driven Approach
by: Hashmi, Anam, et al.
Published: (2024)

On the Foundation Model for Cardiac MRI Reconstruction
by: Zhang, Chi, et al.
Published: (2024)

Self-Supervised Contrastive Learning for Cardiac MR Sequence Classification
by: Wang, Yuli, et al.
Published: (2026)

Motion-Robust Deep Reconstruction for Free-Breathing Cardiac Cine MRI
by: Yurt, Mahmut, et al.
Published: (2026)

Low-Rank Conjugate Gradient-Net for Accelerated Cardiac MR Imaging
by: Patel, Jaykumar H., et al.
Published: (2024)

Ultrafast Cardiac Imaging Using Deep Learning For Speckle-Tracking Echocardiography
by: Lu, Jingfeng, et al.
Published: (2023)

VAST: Vascular Flow Analysis and Segmentation for Intracranial 4D Flow MRI
by: Singh, Abhishek, et al.
Published: (2026)

Noise-aware Dynamic Image Denoising and Positron Range Correction for Rubidium-82 Cardiac PET Imaging via Self-supervision
by: Xie, Huidong, et al.
Published: (2024)

Efficient Image Restoration via Latent Consistency Flow Matching
by: Cohen, Elad, et al.
Published: (2025)