#AI improving medical tools 👉Congratulations to Peter Langfield and Yingjing Feng 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

Glad to have a co-first author paper accepted by #MedIA with Peter, as one of highlights in my Horizon 2020 PIC ITN journey! 🤗 Our work combined #DeepLearning with #modelling to build better #personalized repolarization maps from CARTO. Link to the publication follows soon :)

Intense weekend at PSI Paul Scherrer Institut 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 Anne Bonnin Patricia Garcia-Cañadilla PIC ITN Pilot findings soon out in Frontiers in Cardiovascular Medicine

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 King's Faculty of Life Sciences & Medicine

Find the related open-access publication here: journals.lww.com/jhypertension/… Huge props to Andy Gilbert Filip Loncaric Joao Filipe Fernandes Pablo Lamata (CMIB) et al from PIC ITN! #diagnostics #CardiacAnatomy #MachineLearning #Statistics #visualization #biomarker

❤️Ever wondered what your heart really sounded like during exercise? Rest? Parties? ❤️ Researchers Biomedical Engineering & Imaging Sciences Maastricht University & designers from Cellule created Echoes to record your heartbeat ❤️ What that could mean for clinical care in the future? kcl.ac.uk/news/researche…

Live interview Times Radio 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

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…

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…

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 Ennis | he/him PIC ITN @SCMRchd

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

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]

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 PIC ITN with Filip Loncaric, Maciej Marciniak and Andy Gilbert

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 Ingo Eitel PIC ITN

A nice collaboration during my PhD study IHU Liryc with Caroline Roney and Prof Steven Niederer @CEMRG_KCL, thanks to PIC ITN Marie Skłodowska-Curie Actions 🤗

Jorge Corral, one our of PIC ITN 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.

Automated #whyCMR cardiac #3D shape & contraction analysis post #cvAMI improves #MACE prediction. bit.ly/3RCwGOR #JACCIMG #cvCAD #cvImaging #CardioTwitter PIC ITN University of Oxford

ICYMI: Automated #whyCMR cardiac #3D shape & contraction analysis post #cvAMI improves #MACE prediction. bit.ly/3RCwGOR #JACCIMG #cvCAD #cvImaging #CardioTwitter PIC ITN University of Oxford