Advancing MRI-based noninvasive and minimally-invasive cardiovascular diagnostic technologies; Directed by Behzad Sharif at @PurdueBME/@PurdueECE & @IUMedSchool
Indianapolis, IN
Joined January 2021
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Lab for Translational Imaging of Microcirculation retweeted
❤️ 🧲 Big leap for AI in cardiac MRI! DAUGS framework boosts deep learning segmentation across multi-center stress perfusion datasets, overcoming scanner & protocol differences. Details 👇
Free pdf 👉 journalofcmr.com/article/S10…
@dmyalcinkaya @Lab4TIM
#WhyCMR #CardioTwitter
Lab for Translational Imaging of Microcirculation retweeted
Today we celebrated 50 years of Biomedical Engineering at Purdue. Thank you to our speakers and all who attended.
#BME #PurdueBME #50YearsOfProgress
Lab for Translational Imaging of Microcirculation retweeted
Graduate students Dilek Yalcinkaya and Hazar Benan Unal, trainees of Prof. Behzad Sharif @lab4tim at #IUKrannertHeart @IUMedSchool, presented at #ISMRM24 in Singapore earlier today.
ALT Graphic illustrating highlights from ISMRM conference in Singapore that includes a group photo, a presentation and interior of convention center.
Lab for Translational Imaging of Microcirculation retweeted
On Thursday, May 9, graduate students Dilek Yalcinkaya and Hazar Benan Unal, trainees of Prof. Behzad Sharif's group @Lab4TIM, from the Microcirculation Research Program at #IUKrannertHeart @IUMedSchool, will present at #ISMRM24. ismrm.org/24/ismrt24program.…
Lab for Translational Imaging of Microcirculation retweeted
Behzad Sharif, PhD, at #IUKrannertHeart @IUMedSchool, will present, "Myocardial Perfusion Imaging: State-of-the-Art Methods," at #ISMRM24 on Sunday morning, May 5, Rms 334-336, in Singapore #CardiacImaging #cardiotwitter ismrm.org/24/24program.htm
ALT Session information for conference in Singapore with photo of Behzad Sharif, PhD and Singapore skyline.
Lab for Translational Imaging of Microcirculation retweeted
Purdue Professors @CraigGoergen and @GuangLin team up with medical centers around the country and receive $3.6 Million NIH grant to improve heart disease detection in kids with Duchenne Muscular Dystrophy using advanced imaging and machine learning.
