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Paper Citation Record · LEDGER

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction

As of 21 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2607.04069.

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Outbound references

Observation 3a5b640f-5a89-421a-abf5-a66e86a3f7d3 · outbound

This paper cites Interventions to alleviate patient anxiety during magnetic resonance imaging: a review,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Interventions to alleviate patient anxiety during magnetic resonance imaging: a review,

Reference 1

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This paper cites Sense: sensitivity encoding for fast mri,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Sense: sensitivity encoding for fast mri,

Reference 2

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This paper cites Generalized autocalibrating partially parallel acquisitions (grappa),.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Generalized autocalibrating partially parallel acquisitions (grappa),

Reference 3

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This paper cites Sparse mri: The application of compressed sensing for rapid mr imaging,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Sparse mri: The application of compressed sensing for rapid mr imaging,

Reference 4

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This paper cites A review on accelerated magnetic resonance imaging techniques: Parallel imaging, compressed sensing, and machine learning,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction A review on accelerated magnetic resonance imaging techniques: Parallel imaging, compressed sensing, and machine learning,

Reference 5

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This paper cites Electrodynamics and ultimate snr in parallel mr imaging,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Electrodynamics and ultimate snr in parallel mr imaging,

Reference 6

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This paper cites Modl: Model-based deep learning architecture for inverse problems,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Modl: Model-based deep learning architecture for inverse problems,

Reference 7

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This paper cites Admm-csnet: A deep learning approach for image compressive sensing,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Admm-csnet: A deep learning approach for image compressive sensing,

Reference 8

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This paper cites Idpcnn: Iterative denoising and projecting cnn for mri reconstruction,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Idpcnn: Iterative denoising and projecting cnn for mri reconstruction,

Reference 9

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This paper cites An adaptive intelligence algorithm for undersampled knee mri reconstruction,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction An adaptive intelligence algorithm for undersampled knee mri reconstruction,

Reference 10

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This paper cites Score-based diffusion models for accelerated mri,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Score-based diffusion models for accelerated mri,

Reference 11

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This paper cites Convolutional recurrent neural networks for dynamic mr image reconstruction,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Convolutional recurrent neural networks for dynamic mr image reconstruction,

Reference 12

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This paper cites Convolutional recurrent u-net for cardiac cine mri re- construction via effective spatio-temporal feature exploitation,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Convolutional recurrent u-net for cardiac cine mri re- construction via effective spatio-temporal feature exploitation,

Reference 13

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This paper cites Fill the k-space and refine the image: Prompting for dynamic and multi-contrast mri reconstruction,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Fill the k-space and refine the image: Prompting for dynamic and multi-contrast mri reconstruction,

Reference 14

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This paper cites Self-supervised learning of physics-guided reconstruc- tion neural networks without fully sampled reference data,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Self-supervised learning of physics-guided reconstruc- tion neural networks without fully sampled reference data,

Reference 15

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This paper cites Clean self-supervised mri reconstruction from noisy, sub-sampled training data with robust ssdu,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Clean self-supervised mri reconstruction from noisy, sub-sampled training data with robust ssdu,

Reference 16

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This paper cites Neural implicit k-space for binning-free non-cartesian cardiac mr imaging,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Neural implicit k-space for binning-free non-cartesian cardiac mr imaging,

Reference 17

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This paper cites Multi-dynamic deep image prior for cardiac mri,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Multi-dynamic deep image prior for cardiac mri,

Reference 18

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This paper cites A theoretical framework for self-supervised mr image reconstruction using sub-sampling via variable density nois- ier2noise,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction A theoretical framework for self-supervised mr image reconstruction using sub-sampling via variable density nois- ier2noise,

Reference 19

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This paper cites Noise2Noise: Learning Image Restoration without Clean Data.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Noise2Noise: Learning Image Restoration without Clean Data

Reference 20

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This paper cites Time- dependent deep image prior for dynamic mri,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Time- dependent deep image prior for dynamic mri,

Reference 21

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This paper cites Deep image prior,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Deep image prior,

Reference 22

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This paper cites Implicit neural representations for deformable image registration,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Implicit neural representations for deformable image registration,

Reference 24

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This paper cites Cina: Conditional implicit neural atlas for spatio-temporal representation of fetal brains,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Cina: Conditional implicit neural atlas for spatio-temporal representation of fetal brains,

Reference 25

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This paper cites Vestibular schwannoma growth prediction from longitudinal mri by time-conditioned neural fields,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Vestibular schwannoma growth prediction from longitudinal mri by time-conditioned neural fields,

Reference 26

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This paper cites Spatiotemporal implicit neural representation for unsupervised dynamic mri reconstruction,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Spatiotemporal implicit neural representation for unsupervised dynamic mri reconstruction,

Reference 27

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This paper cites Implicit neural networks with fourier-feature inputs for free-breathing cardiac mri reconstruction,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Implicit neural networks with fourier-feature inputs for free-breathing cardiac mri reconstruction,

Reference 28

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This paper cites Pisco: Self-supervised k-space regularization for improved neural im- plicit k-space representations of dynamic mri,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Pisco: Self-supervised k-space regularization for improved neural im- plicit k-space representations of dynamic mri,

Reference 29

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This paper cites Implicit functions in feature space for 3d shape reconstruction and completion,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Implicit functions in feature space for 3d shape reconstruction and completion,

Reference 30

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This paper cites Kp- inr: A dual-branch implicit neural representation model for cardiac cine mri reconstruction,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Kp- inr: A dual-branch implicit neural representation model for cardiac cine mri reconstruction,

Reference 31

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This paper cites Cmrxrecon2024: a multimodality, multiview k- space dataset boosting universal machine learning for accelerated cardiac mri,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Cmrxrecon2024: a multimodality, multiview k- space dataset boosting universal machine learning for accelerated cardiac mri,

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This paper cites Accelerated dynamic mri exploiting sparsity and low-rank structure: kt slr,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Accelerated dynamic mri exploiting sparsity and low-rank structure: kt slr,

Reference 33

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Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Image reconstruction from highly undersampled (k, t)-space data with joint partial separability and sparsity constraints,

Reference 34

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Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Nerf: Representing scenes as neural radiance fields for view synthesis,

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Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Fourier features let networks learn high frequency functions in low dimensional domains,

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This paper cites Wire: Wavelet implicit neural representations,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Wire: Wavelet implicit neural representations,

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Observation a90fd4c1-ddd7-40b7-b542-3fe5609df973 · outbound

This paper cites Variable density incoherent spatiotemporal acquisition (vista) for highly accelerated cardiac mri,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Variable density incoherent spatiotemporal acquisition (vista) for highly accelerated cardiac mri,

Reference 38

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Observation a07ca0f3-3f3d-4cd0-9ab5-422cf1135071 · outbound

This paper cites Practical parallel imaging compressed sensing mri: Summary of two years of experience in accelerating body mri of pediatric patients,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Practical parallel imaging compressed sensing mri: Summary of two years of experience in accelerating body mri of pediatric patients,

Reference 39

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Observation 39c36a50-3bcb-44d5-96a9-85692c95e26d · outbound

This paper cites Image quality assessment: Unifying structure and texture similarity,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Image quality assessment: Unifying structure and texture similarity,

Reference 40

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Observation 8eda6e19-a8bb-4da3-8ed4-ba4e43f39082 · outbound

This paper cites A haar wavelet- based perceptual similarity index for image quality assessment,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction A haar wavelet- based perceptual similarity index for image quality assessment,

Reference 41

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Observation e56d2d14-1929-4509-95e0-5649c979d5e0 · outbound

This paper cites Image quality assessment for magnetic resonance imaging,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Image quality assessment for magnetic resonance imaging,

Reference 42

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Observation d364ed77-75cb-4d9a-9be7-44c23dbf27bf · outbound

This paper cites Low-rank plus sparse matrix decomposition for accelerated dynamic mri with separation of background and dynamic components,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Low-rank plus sparse matrix decomposition for accelerated dynamic mri with separation of background and dynamic components,

Reference 43

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Observation 17ce9559-9f21-4d73-8601-8157dbd3e179 · outbound

This paper cites Implicit neural representations with periodic activation functions,.

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Implicit neural representations with periodic activation functions,

Reference 44

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