Cover Image

Are Natural-Domain Foundation Models Effective for Accelerated Cardiac MRI Reconstruction?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hashmi, Anam, Maniparambil, Mayug, Dietlmeier, Julia, Curran, Kathleen M., O'Connor, Noel E.
Format:	Preprint
Published:	2026
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Parameter-Free Bio-Inspired Channel Attention for Enhanced Cardiac MRI Reconstruction
by: Hashmi, Anam, et al.
Published: (2025)

VLSM-Ensemble: Ensembling CLIP-based Vision-Language Models for Enhanced Medical Image Segmentation
by: Dietlmeier, Julia, et al.
Published: (2025)

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

Gabor Primitives for Accelerated Cardiac Cine MRI Reconstruction
by: Huang, Wenqi, et al.
Published: (2026)

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

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

GENRE-CMR: Generalizable Deep Learning for Diverse Multi-Domain Cardiac MRI Reconstruction
by: Hamedani, Kian Anvari, et al.
Published: (2025)

Accelerated Patient-specific Non-Cartesian MRI Reconstruction using Implicit Neural Representations
by: Xu, Di, et al.
Published: (2025)

Dual Agreement Consistency Learning with Foundation Models for Semi-Supervised Fetal Heart Ultrasound Segmentation and Diagnosis
by: Wang, Fangyijie, et al.
Published: (2026)

Reconstruct or Generate: Exploring the Spectrum of Generative Modeling for Cardiac MRI
by: Bubeck, Niklas, et al.
Published: (2025)

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

Graph Image Prior for Unsupervised Dynamic Cardiac Cine MRI Reconstruction
by: Li, Zhongsen, 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)

MiTU-Net: A fine-tuned U-Net with SegFormer backbone for segmenting pubic symphysis-fetal head
by: Wang, Fangyijie, et al.
Published: (2024)

Unsupervised Motion-Compensated Decomposition for Cardiac MRI Reconstruction via Neural Representation
by: Tian, Xuanyu, et al.
Published: (2025)

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI
by: Prokopenko, Denis, et al.
Published: (2024)

Interpretable Representation Learning of Cardiac MRI via Attribute Regularization
by: Di Folco, Maxime, et al.
Published: (2024)

Segmenting Fetal Head with Efficient Fine-tuning Strategies in Low-resource Settings: an empirical study with U-Net
by: Wang, Fangyijie, et al.
Published: (2024)

Semi-supervised Cervical Segmentation on Ultrasound by A Dual Framework for Neural Networks
by: Wang, Fangyijie, et al.
Published: (2025)

Implicit Neural Networks with Fourier-Feature Inputs for Free-breathing Cardiac MRI Reconstruction
by: Kunz, Johannes F., et al.
Published: (2023)

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction
by: Zhang, Liping, et al.
Published: (2025)

Reconstruction of Cardiac Cine MRI Using Motion-Guided Deformable Alignment and Multi-Resolution Fusion
by: Han, Xiaoxiang, et al.
Published: (2023)

Adaptive Mask-guided K-space Diffusion for Accelerated MRI Reconstruction
by: Cai, Qinrong, et al.
Published: (2025)

RSFR: A Coarse-to-Fine Reconstruction Framework for Diffusion Tensor Cardiac MRI with Semantic-Aware Refinement
by: Huang, Jiahao, et al.
Published: (2025)

Personalized 4D Whole Heart Geometry Reconstruction from Cine MRI for Cardiac Digital Twins
by: Liu, Xiaoyue, et al.
Published: (2025)

CAMP-Net: Consistency-Aware Multi-Prior Network for Accelerated MRI Reconstruction
by: Zhang, Liping, et al.
Published: (2023)

Accelerated Multi-Contrast MRI Reconstruction via Frequency and Spatial Mutual Learning
by: Chen, Qi, et al.
Published: (2024)

End-to-end Adaptive Dynamic Subsampling and Reconstruction for Cardiac MRI
by: Yiasemis, George, et al.
Published: (2024)

Personalized 3D Myocardial Infarct Geometry Reconstruction from Cine MRI with Explicit Cardiac Motion Modeling
by: Lyu, Yilin, et al.
Published: (2025)

Entropy-Guided Agreement-Diversity: A Semi-Supervised Active Learning Framework for Fetal Head Segmentation in Ultrasound
by: Wang, Fangyijie, et al.
Published: (2026)

Lightweight Framework for Automated Kidney Stone Detection using coronal CT images
by: Wang, Fangyijie, et al.
Published: (2023)

Leveraging Information Divergence for Robust Semi-Supervised Fetal Ultrasound Image Segmentation
by: Wang, Fangyijie, et al.
Published: (2025)

Re-Visible Dual-Domain Self-Supervised Deep Unfolding Network for MRI Reconstruction
by: Zhang, Hao, et al.
Published: (2025)

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

Towards generating more interpretable counterfactuals via concept vectors: a preliminary study on chest X-rays
by: Maksudov, Bulat, et al.
Published: (2025)

Mind the Detail: Uncovering Clinically Relevant Image Details in Accelerated MRI with Semantically Diverse Reconstructions
by: Morshuis, Jan Nikolas, et al.
Published: (2025)

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

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

Diffusion Model-based Data Augmentation Method for Fetal Head Ultrasound Segmentation
by: Wang, Fangyijie, et al.
Published: (2025)