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06/27/2023
Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction
Emerging neural reconstruction techniques based on tomography (e.g., NeR...
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12/31/2022
Spatiotemporal implicit neural representation for unsupervised dynamic MRI reconstruction
Supervised Deep-Learning (DL)-based reconstruction algorithms have shown...
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10/23/2022
Joint Rigid Motion Correction and Sparse-View CT via Self-Calibrating Neural Field
Neural Radiance Field (NeRF) has widely received attention in Sparse-Vie...
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10/19/2022
A scan-specific unsupervised method for parallel MRI reconstruction via implicit neural representation
Parallel imaging is a widely-used technique to accelerate magnetic reson...
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09/14/2022
Continuous longitudinal fetus brain atlas construction via implicit neural representation
Longitudinal fetal brain atlas is a powerful tool for understanding and ...
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09/14/2022
Noise2SR: Learning to Denoise from Super-Resolved Single Noisy Fluorescence Image
Fluorescence microscopy is a key driver to promote discoveries of biomed...
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09/12/2022
Self-Supervised Coordinate Projection Network for Sparse-View Computed Tomography
In the present work, we propose a Self-supervised COordinate Projection ...
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10/27/2021
An Arbitrary Scale Super-Resolution Approach for 3-Dimensional Magnetic Resonance Image using Implicit Neural Representation
High Resolution (HR) medical images provide rich anatomical structure de...
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06/29/2021
IREM: High-Resolution Magnetic Resonance (MR) Image Reconstruction via Implicit Neural Representation
For collecting high-quality high-resolution (HR) MR image, we propose a ...
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01/21/2021
MoG-QSM: Model-based Generative Adversarial Deep Learning Network for Quantitative Susceptibility Mapping
Quantitative susceptibility mapping (QSM) estimates the underlying tissu...
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05/15/2019
