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Improving Automatic Renal Segmentation in Clinically Normal and Abnormal Paediatric DCE-MRI via Contrast Maximisation and Convolutional Networks for Computing Markers of Kidney Function

Asaturyan, Hykoush, Barbara Villarini, Karen Sarao, Jeanne S. Chow, Onur Afacan, and Sila Kurugol. 2021. “Improving Automatic Renal Segmentation in Clinically Normal and Abnormal Paediatric DCE-MRI via Contrast Maximisation and Convolutional Networks for Computing Markers of Kidney Function”. Sensors 21 (23).

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QUIN Research Group Computational Radiology Lab Boston Children's Hospital 300 Longwood Ave Boston, MA 02115 Phone:Email:

Non-contrast MR imaging techniques for assessment of Chron's Disease

Crohn's disease (CD) is a chronic inflammatory disease of the gastrointestinal tract that has a prevalence of over 800,000 in the US alone, primarily affecting young individuals. The disease's characteristic periods of remission and relapse necessitate frequent hospitalizations. There has been a...

Invited talk: Motion Management in Kidney Diffusion-Weighted MRI

Invited talk at the ISMRM Workshop on Kidney MRI Biomarkers, 2021: "Motion Management in Kidney Diffusion-Weighted MRI" by Simon Warfield The presentation slides can be found attached below. Related publications: Kurugol, S., Marami, B., Afacan, O., Warfield, S.K. and Gholipour, A., 2017. Motion...

Onur Afacan

Onur Afacan is an Assistant Professor at Harvard Medical School, co-Director of QUIN Research Group and Principle Investigator in the Computational Radiology Laboratory at Children’s Hospital Boston. I received my B.Sc degree from Middle East Technical University, Ankara, Turkey in 2003, M.Sc degree...