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Improved IVIM Imaging in Adolescent Crohn's Disease Using Dual-Echo EPI Distortion and Motion Correction.

Publication: Journal Article

Ariyurek, Cemre, Lina Lu, Georgios Antonios Sideris, Valentina Valencia Ferrer, Liam Timms, Serge Didenko Vasylechko, Onur Afacan, and Sila Kurugol. 2025. “Improved IVIM Imaging in Adolescent Crohn’s Disease Using Dual-Echo EPI Distortion and Motion Correction.”. NMR in Biomedicine 38 (9): e70117.

Basic Cell and molecular Biology

Class

Deniz Kocanaogullari

Person: Postdoctoral Research Fellow, QUIN

Deniz's current research is focused on quantitative parameter estimation using deep learning techniques and super resolution MRI reconstruction algorithms for accelerated imaging.

Shahram Eisa-Beygi

Person: Research Associate

Contact E-mail

2025 COACH Interns Present at the COACH Poster Presentation Day!

News: August 06, 2025

High school COACH Intern, Daniel Chang, and undergraduate COACH intern, James Fleming, showcased their Summer projects, experiences, and growth throughout the program at Landmark, Center in Boston, MA. Bravo Daniel and James, on your outstanding contributions to the Auditory Research Lab this Summer...

Talks

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2015 InSDB-2015 Biennial meeting, CCMB, India- delivered a research talk 2016 Delivered talk on- Imaging at greater depth- Advancements in the genetic labeling techniques 2016 Delivered talk on- A novel muscle stem cell- Paradigm shift in the muscle development 2016 Flymeet, IIT Kanpur, India- Talks...

Design of soluble Notch agonists that drive T cell development and boost immunity

Publication: Journal Article

“Design of Soluble Notch Agonists That Drive T Cell Development and Boost Immunity”. 2025. Cell.

CLIF-Net: Intersection-guided Cross-view Fusion Network for Infection Detection from Cranial Ultrasound.

Publication: Journal Article

Yu, Mingzhao, Mallory R Peterson, Kathy Burgoine, Thaddeus Harbaugh, Peter Olupot-Olupot, Melissa Gladstone, Cornelia Hagmann, et al. 2025. “CLIF-Net: Intersection-Guided Cross-View Fusion Network for Infection Detection from Cranial Ultrasound.”. MedRxiv : The Preprint Server for Health Sciences.