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Super-Resolution

Deep Learning in Ultrasound localization Microscopy: Applications and perspectives
Deep Learning in Ultrasound localization Microscopy: Applications and perspectives
Ultrasound Localization Microscopy (ULM) is a novel super-resolution imaging technique that can image the vasculature in vivo at depth …
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (IEEE TUFFC),  2025.
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Pruning Sparse Tensor Neural Networks Enables Deep Learning for 3D Ultrasound Localization Microscopy
Pruning Sparse Tensor Neural Networks Enables Deep Learning for 3D Ultrasound Localization Microscopy
Ultrasound Localization Microscopy (ULM) is a non-invasive technique that allows for the imaging of micro-vessels in vivo, at depth and …
IEEE Transactions on Image Processing (IEEE TIP),  2025.
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Pruning Sparse Tensor Neural Networks Enables Deep Learning for 3D Ultrasound Localization Microscopy
Pruning Sparse Tensor Neural Networks Enables Deep Learning for 3D Ultrasound Localization Microscopy
Ultrasound Localization Microscopy (ULM) is a non-invasive technique that allows for the imaging of micro-vessels in vivo, at depth and …
ArXiv,  2024.
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Overnet: Lightweight multi-scale super-resolution with overscaling network
Overnet: Lightweight multi-scale super-resolution with overscaling network
Super-resolution (SR) has achieved great success due to the development of deep convolutional neural networks (CNNs). However, as the …
Winter Conference on Applications of Computer Vision (WACV),  2021.
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Hierarchical Residual Attention Network for Single Image Super-Resolution
Hierarchical Residual Attention Network for Single Image Super-Resolution
Convolutional neural networks are the most successful models in single image super-resolution. Deeper networks, residual connections, …
ArXiv,  2020.
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HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery
HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery
Generative deep learning has sparked a new wave of Super-Resolution (SR) algorithms that enhance single images with impressive …
ArXiv,  2020.
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