KardioMe retweeted
Our book on Advancing Cochlear Implants is out!
See the magic behind a tech that makes people hear and be heard.
Kudos to the amazing co-authors and editors of our chapter on imaging & AI @PaulaLopezDiez, Behnam Molaee-Ardekani, Thomas Demarcy, Manuel Segovia-Martinez.
Link👇
KardioMe retweeted
🔍New Publication!📚Comparing our deep reinforcement learning approach with convolutional autoencoders for detecting inner ear malformations on CT, we've enhanced detection accuracy by 11.2%! Read more: doi.org/10.1016/j.compmedima… #MedicalImaging #DeepLearning #AnomalyDetection 🧠👂
KardioMe retweeted
First ever automatic classification of congenital inner ear malformations today at #MICCAI23 by @paulalopezdiez🌟
Find Paula today @ poster T04-112 and learn how we represent diverse cochlear shapes from normal, hypoplasia, incomplete partition I-III, common cavity to aplasia👇
KardioMe retweeted
Nautilus strikes again! We set our automated imaging platform to measure 1099 cochleae and our findings are now in JCM: mdpi.com/2077-0383/12/2/509
Well done, friends at @OticonMedical, @CHUdeNice, @InriaEpione, and @KardioMe!👏
#ent #otology #NewPaper #MedTwitter #Statistics #DL
ALT Taking 1099 images of human cochleae, segmenting them, and extracting relevant measurements
KardioMe retweeted
The MLMI proceedings are out! Thanks to all for sharing your research. Special shoutout to the amazing duo Ana-Teodora Radutoiu and @PaulaLopezDiez for leading our paper on deep RL for inner ear localization
link.springer.com/chapter/10…
#deeplearning #cochlea #miccai #teosdebut #hny🎉
KardioMe retweeted
We've built a comprehensive cochlear image analysis tool to enable large scale studies, enabling access to cutting-edge #ML from the browser
How? We detail the pipeline in our paper that has just been published in the Journal of Clinical Medicine:
mdpi.com/2077-0383/11/22/664…
ALT A Web-Based Automated Image Processing Research Platform for Cochlear Implantation-Related Studies by Jan Margeta, Raabid Hussain, Paula López Diez, Anika Morgenstern, Thomas Demarcy, Zihao Wang, Dan Gnansia, Octavio Martinez Manzanera, Clair Vandersteen, Hervé Delingette, Andreas Buechner, Thomas Lenarz, François Patou, Nicolas Guevara
KardioMe retweeted
⚡️Time to reinforce some 🐌 nerves #MICCAI2021⚡️
Our Paula López Diez presents: "Facial and cochlear nerves characterization using deep reinforcement learning for landmark detection"
With @JosefineLl @FrancoisPatou Rasmus R Paulsen @OticonMedical @DTU_Compute @kardiome
KardioMe retweeted
Let's all contain the #COVID19 spread within manageable bounds and healthcare systems' capacities
Proud of our talented #hackthecrisis team🚀
💡 real-time local symptom analytics for crisis mgmt and researchers
📺 youtu.be/ChmGGzSE6uw?t=2323
🥈 is a bonus
Early @kardiome memories🙋
Check out slidedecks from two of our latest talks for a bit of #MachineLearning in #CardiacImaging, #3DPrinted personalized #Cardiac models, a sprinkle of #VirtualReality, or #ComputerVision in general, and quite a bit of #python teapaw.org/jmargeta/status/992646…
Hey #PyDays18, what a fantastic day yesterday! Even more excited for today's #Python goodness. Thanks for all the nice interactions! Slides: github.com/jmargeta/PyDaysVi…. More on vision or differentiable programming github.com/jmargeta/PyConSK2… #mxnet #gluon #opencv @ApacheMXNet @pyconsk
How to 3d print functional heart muscle
1-use heart cells + collagen as filament
2-print
3-melt away the collagen
4-train the cells in a gym teapaw.org/905wesa/status/8366529…
No plastic here. This @CMUEngineering professor uses cells and collagen to 3-D print heart tissue wesa.fm/post/no-plastic-here…
Could we reduce the need for MRI contrast agents by tagging the blood? Yes! Welcome myocardial ASL: jcmr-online.biomedcentral.co…
A great step towards 3d printing of soft-tissue embryonic (chick) hearts! teapaw.org/RegenBio/status/657648…