Top Tweets for #compressedSensing
🌀【第63回 神奈川MRI技術研究会】
11月14日(金)18:30〜 WEB開催📡
テーマは「高速撮像」&「中枢神経MRI検査」🧠
“速くて綺麗”を実現する技術と必見の実践講演をお届けします!
#MRI #放射線技師 #神奈川MRI #高速撮像 #CompressedSensing #DeepLearning #中枢神経MRI #技術研究会 #医療技術

🎓👏 Orgullo de Ingeniería en Biomedicina – UPS
El trabajo de titulación de Santiago Villota, junto al Ph.D. Esteban Inga, fue publicado en Sensors (Q2, IF 3.5).
⚡ Reconstrucción de imágenes médicas de 30 min a ~7 min con #CompressedSensing 🧠
📖 https://t.co/HouYeSRL7P

@PRX_Quantum @FJSchreiber @jj_xyz @FU_Berlin Dear @GittaKutyniok, you might like the way #compressedsensing comes in in a fresh way.
Compressed Sensing for reduced scan time.
Discover @RSNA 24 the latest version of the Helium-free MgB2 based MRI scanner, provides equal quality image and a scan time reduced up to 50%.
.
#MROpenEVO #MRI #scantime #compressedsensing #rsna #openmri #thebestmriexperience
Comparison of Common Algorithms for Single-Pixel Imaging via Compressed Sensing
https://t.co/XP5Toi3M5s
#compressedsensing #opticalsignalprocessing

@matsanta talked about "Continuous #generativemodels for nonlinear #inverseproblems”: a data-driven approach based on generative models. A.Felisi focused on #compressedsensing applied to inverse problems in “Compressed sensing for the sparse Radon transform”.

Semi-device-dependent blind #quantumtomography explores the regime between device-independent schemes and those that require complete knowledge of detectors. For this, new methods in #compressedsensing are developed.
https://t.co/BIemvNfYva

Congratulations to Alberto @albeg91 for the work "Computational Based Time-Resolved Multispectral Fluorescence Microscopy" promoted as Editor's pick on APL Photonics! https://t.co/52TkkXu0CV
#singlepixelimaging, #compressedsensing, #datafusion
#highlycitedpaper
Reference-Driven Compressed Sensing MR Image Reconstruction Using Deep Convolutional Neural Networks without Pre-Training
https://t.co/11YWBgX1TR
#referencedriven #compressedsensing #magneticresonanceimaging #deepimageprior #deeplearning

In Cambridge today for @NewtonInstitute workshop on Rich and Nonlinear Tomography in Radar, Astronomy and Geophysics. I'll be talking about Faraday tomography for @SKAO science - highlighting work led by @SymonSimeon & @miguel_carcamov on #GaussianProcesses #CompressedSensing 💫

Very happy to share our preprint with #GianlucaGiacchi & #BastienMilani setting a 1st milestone towards the analytical determination of optimal parameters in a space-variant #Lasso -relevant for #MRI & #compressedsensing @hessovalais @unil @Unibo #MatTech https://t.co/53CQMRnDT2
#mostviewspaper
Multitrack Compressed Sensing for Faster Hyperspectral Imaging
https://t.co/LEb9q5GRAB
#HyperspectralImaging #CompressedSensing

Rounding off the final session of @nam2022warwick: @miguel_carcamov talks about his work developing novel #compressedsensing reconstruction for faraday depth signals in the @mighteesurvey polarisation data ✨ @idsai_uom @UoMPhysics @SKAO

#OEA_highlight Single-pixel terahertz imaging: a review: https://t.co/2e94DyjV5A
Prof. #LucaRazzari from #InstitutNationaldelaRechercheScientifique @inrsciences
#TerahertzImaging
#SinglePixelImaging
#CompressedSensing

We are recruiting for a Lecturer (Assistant Professor) in Mathematics & Data Science.
The deadline to apply to join our fantastic deparment is fast approaching, so don't delay!
#machinelearning #compressedsensing #inverseproblems #networkscience https://t.co/swKsqjr7tJ
Congratulations to @jodrellbank @UoMPhysics PhD student @miguel_carcamov who is the recipient of a 2022✨Young Scientist Award✨ from the International Union of Radio Sciences @URSI_Radio for his work on #CompressedSensing Faraday Depth Reconstruction 📡🍾🎉

DL-CSNet: Dictionary Learning based Compressed Sensing Neural Network #TechRxiv #dictionarylearning #compressedsensing #NeuralNetworks #neuralnetwork
https://t.co/yS8O7Rg0t7
#Compressedsensing allows to recover structured vectors and matrices from a few measurements - such as sparse vectors. Here, we uplift those mathematical techniques to #hierarchical measurement operators, exploring hierarchical isometry properties.
https://t.co/aaGM6oHab6

Presented by researchers from @Cambridge_Uni, @imperialcollege, @rpi, and @UniUtrecht, “#AI-Based Reconstruction for Fast #MRI – A Systematic Review and Meta-Analysis” reviews #DeepLearning-based #CompressedSensing techniques, describes key model designs, and more.

![ShawPrize's tweet photo. [#ShawPrizeDictionary]
C for #CompressedSensing
Learn more: https://t.co/bHThRxKyug https://t.co/pIfkSywVYf](https://pbs.twimg.com/media/FLEHdiWXEAE5cZW.jpg)
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