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Super-Resolution
ServiceNow Research
Super-Resolution
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 …
Brice Rauby
,
Paul Xing
,
Maxime Gasse
,
Jean Provost
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
Ultrasound Localization Microscopy (ULM) is a non-invasive technique that allows for the imaging of micro-vessels in vivo, at depth and …
Brice Rauby
,
Paul Xing
,
Jonathan Porée
,
Maxime Gasse
,
Jean Provost
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
Ultrasound Localization Microscopy (ULM) is a non-invasive technique that allows for the imaging of micro-vessels in vivo, at depth and …
Brice Rauby
,
Paul Xing
,
Jonathan Porée
,
Maxime Gasse
,
Jean Provost
ArXiv, 2024.
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Code
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 …
Parichehr Behjati
,
Pau Rodriguez
,
Armin Mehri
,
Isabelle Hupont
,
Jordi Gonzalez
,
Carles Fernandez
Winter Conference on Applications of Computer Vision (WACV), 2021.
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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, …
Parichehr Behjati
,
Pau Rodriguez
,
Armin Mehri
,
Isabelle Hupont
,
Carles Fernandez
,
Jordi Gonzalez
ArXiv, 2020.
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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 …
Michel Deudon
,
Alfredo Kalaitzis
,
Israel Goytom
,
Zhichao Lin
,
Kris Sankaran
,
Vincent Michalski
,
Samira E. Kahou
,
Julien Cornebise
,
Yoshua Bengio
ArXiv, 2020.
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