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Retrospective Distortion and Motion Correction for Free-Breathing DW-MRI of the Kidneys Using Dual-Echo EPI and Slice-to-Volume Registration

Publication: Journal Article
Coll-Font, Jaume, Onur Afacan, Scott Hoge, Harsha Garg, Kumar Shashi, Bahram Marami, Ali Gholipour, Jeanne Chow, Simon Warfield, and Sila Kurugol. 2020. “Retrospective Distortion and Motion Correction for Free-Breathing DW-MRI of the Kidneys Using Dual-Echo EPI and Slice-to-Volume Registration”. Journal of Magnetic Resonance Imaging.

Retrospective Distortion and Motion Correction for Free-Breathing DW-MRI of the Kidneys Using Dual-Echo EPI and Slice-to-Volume Registration

Publication: Journal Article
Coll-Font, Jaume, Onur Afacan, Scott Hoge, Harsha Garg, Kumar Shashi, Bahram Marami, Ali Gholipour, Jeanne Chow, Simon Warfield, and Sila Kurugol. 2021. “Retrospective Distortion and Motion Correction for Free-Breathing DW-MRI of the Kidneys Using Dual-Echo EPI and Slice-to-Volume Registration”. Journal of Magnetic Resonance Imaging 53 (5): 1432–1443.

About

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As members of the Quantitative Intelligent Medical Imaging (QUIN) Research Group at the Computational Radiology Lab at Boston Children’s Hospital, we aim to develop cutting edge, intelligent medical imaging techniques and machine learning methods to improve our understanding of developing human...

Machine learning for image analysis

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We developed active learning and semi-supervised learning techniques for reducing the labeling cost when training a deep neural network based segmentation or classification algorithm.

Aziz Kocanaogullari

Person: Alumni-Post-doctoral research fellow, QUIN
Aziz Kocanaogullari received a B.S. degree in electronics engineering and a B.S. degree in mathematics from Istanbul Technical University, Istanbul, Turkey, in 2014 and 2015 respectively. He received M.Sc. degree in Telecommunications Engineering at Istanbul Technical University in 2016. He received...

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.

Sila Kurugol

Person: Director, Principal Investigator, QUIN, Associate Professor of Radiology at Harvard Medical School
Sila Kurugol is an Associate Professor of Radiology at Harvard Medical School and a principal investigator at Computational Radiology Lab (CRL). She received her B.S., M.S. and PhD degrees all in electrical and computer engineering in Middle East Technical University, Bilkent University, Ankara...