Top Tweets for #CTReconstruction

almost 2 years ago

🪩Excited to see the development of an efficient dual-domain deep learning network for sparse-view CT reconstruction! Learn more about this #SINFONIA publication here: ⤵️ https://t.co/zFA9oX4Owe #DeepLearning #CTReconstruction #Innovation @UNIGEnews @EU_H2020

Cristian Badea @ct_badea

over 2 years ago

Dr. Darin Clark presents on the advanced Multi-Channel #CTReconstruction toolkit at #VITM2024, showcasing its applications in virtual imaging trials. Explore the future of imaging with us! #QIAL

ct_badea's tweet photo. Dr. Darin Clark presents on the advanced Multi-Channel #CTReconstruction toolkit at #VITM2024, showcasing its applications in virtual imaging trials. Explore the future of imaging with us! #QIAL https://t.co/MOdDEozWiT

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Dragonfly @ai_dragonfly

over 4 years ago

Download Free our New #Dragonfly 2022.1 Release Today! It's packed with new features and updates: #PorousMedia microstructure analysis #PuMA from @nasa, #Noise2Void #denoising, #unet #superresolution, #DeepLearning, #ctreconstruction, #segmentationwizard. https://t.co/QwyDVPcnxZ

ai_dragonfly's tweet photo. Download Free our New #Dragonfly 2022.1 Release Today! It's packed with new features and updates: #PorousMedia microstructure analysis #PuMA from @nasa, #Noise2Void #denoising, #unet #superresolution, #DeepLearning, #ctreconstruction, #segmentationwizard. https://t.co/QwyDVPcnxZ https://t.co/RFvPaVNLN0

Contijoch Research Laboratory @ContijochResLab

over 4 years ago

🚨New Paper Alert 🚨 Motion during #ComputedTomography can degrade image quality. Led by @KunalMGupta, we propose a new #CTReconstruction approach which leverages #NeuralNetworks #Differentiable #Rendering arXiv: https://t.co/d0jXt3GdRl website: https://t.co/NnvsSqFAe4 🧵 1/

Top Tweets for #CTReconstruction

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