Lab for Translational Imaging of Microcirculation @Lab4TIM
Advancing MRI-based noninvasive and minimally-invasive cardiovascular diagnostic technologies; Directed by Behzad Sharif at @PurdueBME/@PurdueECE & @IUMedSchool medicine.iu.edu/research-cente… Indianapolis, IN Joined January 2021-
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Pleased to see our manuscript highlighted by @journalofCMR here: x.com/journalofCMR/s… ⭕️ Addresses the robustness challenge for A.I.-based cardiac MRI analysis & was first-authored by @dmyalcinkaya in my group at @PurdueBME & @PurdueECE. 🔗 Free PDF: journalofcmr.com/action/showPdf…
Pleased to see our manuscript highlighted by @journalofCMR here: x.com/journalofCMR/s… ⭕️ Addresses the robustness challenge for A.I.-based cardiac MRI analysis & was first-authored by @dmyalcinkaya in my group at @PurdueBME & @PurdueECE. 🔗 Free PDF: journalofcmr.com/action/showPdf…
❤️ 🧲 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/S1097-… @dmyalcinkaya @Lab4TIM #WhyCMR #CardioTwitter
Today we celebrated 50 years of Biomedical Engineering at Purdue. Thank you to our speakers and all who attended. #BME #PurdueBME #50YearsOfProgress
Graduate students Dilek Yalcinkaya and Hazar Benan Unal, trainees of Prof. Behzad Sharif @Lab4TIM at #IUKrannertHeart @IUMedSchool, presented at #ISMRM24 in Singapore earlier today.
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/ismrt24prog…
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.h…
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.
Excellent #CMR2024 meeting in London (with surprisingly okay weather!) and a very good showing by our lab and @KrannertHeart with 6 oral presentations including an early-career award finalist in the translational category:
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