Julie Shade, PhD (@julieshade2) 's Twitter Profile
Julie Shade, PhD

@julieshade2

lead data scientist @OncospaceInc | PhD @JHUBME | machine learning, cardiac modeling, radiation oncology | @SiebelScholars 2022 | 🐶🎨🧶🌈 | prev. @ juliekshade

ID: 1448026197632430084

calendar_today12-10-2021 20:42:28

29 Tweet

145 Followers

213 Following

NataliaTrayanova (@ntrayanova) 's Twitter Profile Photo

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

NataliaTrayanova (@ntrayanova) 's Twitter Profile Photo

#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

Tracy Smith (@tracysmith_jhu) 's Twitter Profile Photo

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

Sanjiv Narayan (@s_narayanmd) 's Twitter Profile Photo

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

Predicting #afib #ablation success? <a href="/DrJasonAndrade/">Jason Andrade</a> 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... <a href="/julieshade2/">Julie Shade, PhD</a> <a href="/NTrayanova/">NataliaTrayanova</a> <a href="/TinaBaykaner/">Tina Baykaner</a> <a href="/EP_mom1/">Mina Chung MD</a> <a href="/anantm/">Anant Madabhushi</a> <a href="/DrSEWilliams/">Dr Steven Williams</a>
NataliaTrayanova (@ntrayanova) 's Twitter Profile Photo

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…

Reza Shadmehr (@reziliusreza) 's Twitter Profile Photo

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…

Nature Cardiovascular Research (@naturecvr) 's Twitter Profile Photo

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

Online today a study by <a href="/Trayanovalab/">Trayanova Lab</a> presents a #DeepLearning approach to predict #ArrhythmicSuddenDeath risk in patients with ischemic heart disease based on clinical covariates and raw LGE-CMR images|<a href="/NTrayanova/">NataliaTrayanova</a> <a href="/HopkinsEngineer/">Johns Hopkins Engineering</a> <a href="/JHU_ADVANCE/">JHU ADVANCE</a> <a href="/JHUBME/">Johns Hopkins BME</a> 

👉rdcu.be/cKTnj
Eric Topol (@erictopol) 's Twitter Profile Photo

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…

Over 200,000 defibrillators (ICDs) are implanted each year, but &gt;90% are never utilized. A new study indicates #AI may better predict an individual's risk of sudden cardiac death &amp; ICD benefit  nature.com/articles/s4416…
Our new <a href="/TheLancet/">The Lancet</a> essay <a href="/NTrayanova/">NataliaTrayanova</a> 
thelancet.com/journals/lance…
Oncospace, Inc. (@oncospaceinc) 's Twitter Profile Photo

Oncospace is proud to highlight our first customer abstract at this year’s #AAMD2022 Annual Meeting. “Evaluation of OAR Sparing in Prostate Radiotherapy Plans Optimized with Database Dose Predictions” by Scott Robertson, Ph.D., at Wellspan Healthcare.

Oncospace is proud to highlight our first customer abstract at this year’s #AAMD2022 Annual Meeting.

“Evaluation of OAR Sparing in Prostate Radiotherapy Plans Optimized with Database Dose Predictions” by Scott Robertson, Ph.D., at Wellspan Healthcare.