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PIC ITN@PICnetEU·4 Mar

The concept of 'Digital Twin' has been around for several years in engineering and now it's being translated to cardiovascular research. Check this out in our first paper as a consortium, just published in @ESC_Journals! academic.oup.com/eurheartj/adva…

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JACC Journals@JACCJournals·30 Eyl

ICYMI: Automated #whyCMR cardiac #3D shape & contraction analysis post #cvAMI improves #MACE prediction. bit.ly/3RCwGOR #JACCIMG #cvCAD #cvImaging #CardioTwitter @PICnetEU @UniofOxford

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JACC Journals@JACCJournals·12 Eyl

Automated #whyCMR cardiac #3D shape & contraction analysis post #cvAMI improves #MACE prediction. bit.ly/3RCwGOR #JACCIMG #cvCAD #cvImaging #CardioTwitter @PICnetEU @UniofOxford

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Pablo Lamata (CMIB)@pablolamata·7 Nis

Jorge Corral, one our of @PICnetEU fellows, shining in STEM for Britain Awards 2022! Press release: eng.ox.ac.uk/news/researche… The paper: lnkd.in/exkxVvug (more info below) The proud supervisory team: Vicente Grau, Alfonso Bueno-Orovio and myself.

Pablo Lamata (CMIB)@pablolamata

Risks after an infarct? The 3D contraction pattern present in the MRI two days after the infarct can better predict them. Paper: lnkd.in/exkxVvug Press release: lnkd.in/eqT92_ph Consortium: picnet.eu @ASchusterMD @IngoEitel @PICnetEU

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Yingjing Feng@SeffyYjFeng·25 Mar

A nice collaboration during my PhD study @ihu_liryc with @CarolineRoney and Prof Steven Niederer @CEMRG_KCL, thanks to @PICnetEU @MSCActions 🤗

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Pablo Lamata (CMIB)@pablolamata·28 Oca

Risks after an infarct? The 3D contraction pattern present in the MRI two days after the infarct can better predict them. Paper: lnkd.in/exkxVvug Press release: lnkd.in/eqT92_ph Consortium: picnet.eu @ASchusterMD @IngoEitel @PICnetEU

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Joao Filipe Fernandes@JoaoFilipeFern4·10 Ara

Happy to present an e-poster on #EuroEcho on an automatic myocardial wall thickness accessment from planner echocardiography imaging, following from a super fruitful collaboration from @PICnetEU with @FiLoncaric, @MacieyMarciniak and @adgil21

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Dr Cristobal Rodero@TovRodero·29 Kas

First (2) rejections of the PhD but here it is! "Impact of anatomical reverse remodelling in the design of optimal quadripolar pacing leads: A computational study" Let me guide you through the storyboard of the paper 🧵[1/8]

Cardiac Electro-Mechanics Research Group@CEMRG_

Have you checked the last computational study by @TovRodero et al.? This time, using 44 digital hearts, they explore optimal lead designs in #quadripolar #CRT pacing for #HF and remodelled patients. Find it #OpenAccess at sciencedirect.com/science/articl… #EPeeps

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PIC ITN@PICnetEU·23 Haz

Meet our PIC experts! Learn more about Richard Cornelussen, our expert in @medtronic Meet the passion that drives the innovation: youtu.be/3sjBbSIrohU

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Alistair Young@alyoung62·5 Haz

Cardiac Atlas Project Workshop on Congenital Heart Disease update: program at #FIMH2021 is now up on fimh2021.github.io/program/ Endorsed by @MICCAI_Society. See you on June 21 (solstice science). #WHYCMR @Daniel_B_Ennis @PICnetEU @scmrchd

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PIC ITN@PICnetEU·1 Haz

Directly from Oslo, our fellow Manuel Villegas just published on how the duration of the pre-ejection phase can be a better #biomarker of #CRT response than dPdtmax 🫀 You can find it #OpenAccess in #Europace: academic.oup.com/europace/artic…

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Filip Loncaric@FiLoncaric·28 May

Ever wonder about the 3D cardiac microstructure behind the non-invasive cardiac imaging we see every day? Or how tissue remodelling influences myocardial deformation? Check out our pilot study comparing #echofirst, #whyCMR with synchrotron 3D imaging! frontiersin.org/article/10.338…

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Pablo Lamata (CMIB)@pablolamata·22 May

Live interview @TimesRadio this morning to explain our #EchoesApp, starting 3h:21min:40s in thetimes.co.uk/radio/show/202… We're hoping many people enjoy with #EchoesApp, and very keen to get feedback! Try it here and #listentoyourheart 👉 echoesapp.org

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Biomedical Engineering & Imaging Sciences@KingsImaging·21 May

❤️Ever wondered what your heart really sounded like during exercise? Rest? Parties? ❤️ Researchers @KingsImaging @MaastrichtU & designers from @cellule_studio created Echoes to record your heartbeat ❤️ What that could mean for clinical care in the future? kcl.ac.uk/news/researche…

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Maciej Marciniak@MacieyMarciniak·7 May

Find the related open-access publication here: journals.lww.com/jhypertension/… Huge props to @adgil21 @FiLoncaric @JoaoFilipeFern4 @pablolamata et al from @PICnetEU! #diagnostics #CardiacAnatomy #MachineLearning #Statistics #visualization #biomarker

Biomedical Engineering & Imaging Sciences@KingsImaging

Researchers have found a new metric to characterise anatomical changes in the left ventricle of the heart related to high blood pressure in early stages of the disease 👇🏼kcl.ac.uk/news/researche… #KingsImaging #cardiology #heart @kingsmedicine

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Biomedical Engineering & Imaging Sciences@KingsImaging·4 May

Researchers have found a new metric to characterise anatomical changes in the left ventricle of the heart related to high blood pressure in early stages of the disease 👇🏼kcl.ac.uk/news/researche… #KingsImaging #cardiology #heart @kingsmedicine

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Filip Loncaric@FiLoncaric·21 Nis

Intense weekend at @psich_en using #synchrotron imaging to explore cardiac #hypertrophy. Can 0.65 um pixel size and 3D visualisation of microstructure help interpret non-invasive imaging phenotypes? @dejea5 @X4Heart @Patri_GC @PICnetEU Pilot findings soon out in @FrontCVMedicine

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IHU Liryc@ihu_liryc·15 Nis

#AI improving medical tools 👉Congratulations to Peter Langfield and @SeffyYjFeng for the #publication of a paper on "A novel method to correct #repolarization time estimation from unipolar #electrograms distorted by standard filtering" on Medical Image Analysis #carto

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Yingjing Feng@SeffyYjFeng·16 Nis

Glad to have a co-first author paper accepted by #MedIA with Peter, as one of highlights in my @EU_H2020 @PICnetEU journey! 🤗 Our work combined #DeepLearning with #modelling to build better #personalized repolarization maps from CARTO. Link to the publication follows soon :)

IHU Liryc@ihu_liryc

#AI improving medical tools 👉Congratulations to Peter Langfield and @SeffyYjFeng for the #publication of a paper on "A novel method to correct #repolarization time estimation from unipolar #electrograms distorted by standard filtering" on Medical Image Analysis #carto

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