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Quantitative Diffusion-Weighted MR Imaging of Crohn's Disease using a Spatially-Constrained Probability Distribution Model of Incoherent Motion (SPIM)

Publication: Conference Proceedings

Kurugol, Sila, Moti Freiman, Liran Domachevsky, Onur Afacan, and Simon Warfield. 2015. “Quantitative Diffusion-Weighted MR Imaging of Crohn’s Disease Using a Spatially-Constrained Probability Distribution Model of Incoherent Motion (SPIM)”. ISMRM Diffusion Weighted Imaging Outside Brain Workshop, Boston, MA. April 2015.

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RECENT PROJECTS Machine learning methods for Medical Image Analysis We developed a cost efficient framework for image segmentation that dramatically reduces the cost of generating labeled training data by intelligently selecting few samples to be labeled by achieving similar performance as to...

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Dr. Kurugol is an Instructor of Radiology at Harvard Medical School and a principal investigator at the Computational Radiology Lab (CRL) at Boston Children's Hospital. She received her BS from Middle East Technical University (METU), MS from Bilkent University, Ankara, Turkey, and PhD from...

Machine Learning and Model Based 3D Segmentation Algorithms for Challenging Medical Imaging Problems

Publication: Thesis

Kurugol, Sila. 2011. “Machine Learning and Model Based 3D Segmentation Algorithms for Challenging Medical Imaging Problems.”

Centerline extraction with principal curve tracing to improve 3D level set esophagus segmentation in CT images

Publication: Conference Paper

Kurugol, Sila, Erhan Bas, Deniz Erdogmus, Jennifer Dy, Gregory Sharp, and Dana Brooks. 2011. “Centerline Extraction With Principal Curve Tracing to Improve 3D Level Set Esophagus Segmentation in CT Images”. In Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE, 3403–3406. IEEE.

Emphysema classification based on embedded probabilistic PCA

Publication: Conference Paper

{Zulueta-Coarasa, Teresa, Sila Kurugol, James Ross, George Washko, and Raul San Jose Estepar. 2013. “Emphysema Classification Based on Embedded Probabilistic PCA”. In Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE, 3969–3972. IEEE.

Reliable estimation of kidney filtration rate with DCE-MRI using motion-robust high spatiotemporal resolution Radial VIBE

Publication: Conference Paper

Kurugol, Sila, Afacan, Deborah Stein, Michael Ferguson, Richard Lee, Reid Nichols, Ravi Seethamraju, Jeanne Chow, and Simon Warfield. 2017. “Reliable Estimation of Kidney Filtration Rate With DCE-MRI Using Motion-Robust High Spatiotemporal Resolution Radial VIBE”. In Proc. Intl. Soc. Mag. Reson. Med.

Motion-Robust Spatially Constrained Parameter Estimation in Renal Diffusion-Weighted MRI by 3D Motion Tracking and Correction of Sequential Slices

Publication: Book Chapter

Kurugol, Sila, Bahram Marami, Onur Afacan, Simon Warfield, and Ali Gholipour. 2017. “Motion-Robust Spatially Constrained Parameter Estimation in Renal Diffusion-Weighted MRI by 3D Motion Tracking and Correction of Sequential Slices”. In Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, 75–85. Springer, Cham.

3D level set esophagus segmentation in thoracic ct images using spatial, appearance and shape models

Publication: Conference Paper

Kurugol, Sila, Jennifer Dy, Gregory Sharp, and Dana Brooks. 2010. “3D Level Set Esophagus Segmentation in Thoracic Ct Images Using Spatial, Appearance and Shape Models”. In 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 444–447. IEEE.

Locally deformable shape model to improve 3D level set based esophagus segmentation

Publication: Conference Paper

Kurugol, Sila, Necmiye Ozay, Jennifer Dy, Gregory Sharp, and Dana Brooks. 2010. “Locally Deformable Shape Model to Improve 3D Level Set Based Esophagus Segmentation”. In 2010 20th International Conference on Pattern Recognition, 3955–3958. IEEE.