Julie Shade, PhD
@julieshade2
lead data scientist @OncospaceInc | PhD @JHUBME | machine learning, cardiac modeling, radiation oncology | @SiebelScholars 2022 | 🐶🎨🧶🌈 | prev. @ juliekshade
ID: 1448026197632430084
12-10-2021 20:42:28
29 Tweet
145 Followers
213 Following
Congrats to the new Siebel Scholars! Incl. Johns Hopkins BME Elana Ben-Akiva Lexi Rindone (توثيق حسابات&دعم متابعين) (استرجاع حسابات) Ariel Isser & Alycen Wiacek! An amazing group poised to invent the future of medicine! businesswire.com/news/home/2021… Johns Hopkins Engineering #TTEC #Immunoengineering
Thanks Sanjiv Narayan for highlighting the work of Trayanova Lab (توثيق حسابات&دعم متابعين) (استرجاع حسابات) in using #AI to predict risk of AF recurrence.
It is always the PI's desire to graduate motivated, hard-working, and socially conscious PhD students. (توثيق حسابات&دعم متابعين) (استرجاع حسابات) has exceeded all expectations, and this award is so well deserved! Congratulations to Julie and all #SiebelScholars! Trayanova Lab JHU ADVANCE Johns Hopkins Engineering
#Epeeps #cardiotwitter and #AI friends I wanted to do a 🧵on our paper published last month in Science Advances, but the account of first author Julie Shade got hacked. Now she has new account Julie Shade, PhD, so I am doing it! Paper is here science.org/doi/epdf/10.11…. 🙏Jonathan Chrispin
Please help us celebrate our newest cohort of PURA recipients JHU U'Grad Research! research.jhu.edu/hour/opportuni… #research #HOUR #JHU #Hopkins #reimagineJHU #undergraduateresearch #undergradresearch #undergraduateresearchers #researchers #innovation #opportunity
#AHA2021 #VT circuits in Arrhythmogenic Cardiomyopathy predicted by #personalized #computer models #AI Great work! NataliaTrayanova Q: How much better than mapping? Julie Shade, PhD Patrick M Boyle Roderick Tung William H. Sauer, MD Elad Anter Jacob Koruth Jeffrey Winterfield Edward Gerstenfeld ahajournals.org/doi/abs/10.116…
#AHA21 Predict ischemic #VT isthmus locations from CT, #ECG. RIVAL (Real-Time Individual Virtual-Heart Automatic Localization) NataliaTrayanova Julie Shade, PhD Tina Baykaner David Krummen Gordon Ho Roderick Tung Atul Verma Elad Anter Paul Zei Phillip Cuculich, MD ahajournals.org/doi/abs/10.116…
Predicting #afib #ablation success? Jason Andrade found M-HATCH best👇but sens/spec only 54%/70% (AUC 0.62) ahajournals.org/doi/abs/10.116… Must do better! #personalized AF with #AI #MRI #mapping #computational... Julie Shade, PhD NataliaTrayanova Tina Baykaner Mina Chung MD Anant Madabhushi Dr Steven Williams
Segmentation & fibrosis quantification from LGE-CMR is difficult manual task. But hey, check out our new paper! Deep neural network for anatomically-accurate LGE-CMR segmentation #AI #EPpeeps Changxin LIU Julie Shade, PhD Trayanova Lab Kathy Wu rebecca yu sciencedirect.com/science/articl…
What is the language with which Purkinje cells of the cerebellum make predictions? A typical approach is to look at their average firing rates. We discovered a different language: spike synchronization. Ehsan Sedaghat Nejad Paul Hage Mohammad Amin Fakharian & Jay Pi pnas.org/doi/10.1073/pn…
Online today a study by Trayanova Lab presents a #DeepLearning approach to predict #ArrhythmicSuddenDeath risk in patients with ischemic heart disease based on clinical covariates and raw LGE-CMR images|NataliaTrayanova Johns Hopkins Engineering JHU ADVANCE Johns Hopkins BME 👉rdcu.be/cKTnj
So thrilled to have this out today! And congratulations to the entire team! Kathy Wu, Christine Albert Julie Shade, PhD Changxin Lai #AI
Over 200,000 defibrillators (ICDs) are implanted each year, but >90% are never utilized. A new study indicates #AI may better predict an individual's risk of sudden cardiac death & ICD benefit nature.com/articles/s4416… Our new The Lancet essay NataliaTrayanova thelancet.com/journals/lance…
Johns Hopkins University Johns Hopkins Medicine Convocation today! I am hooding my remarkably gifted former PHD student Julie Shade, PhD Very emotional ❤️❤️