User profiles for Sila Kurugol

Sila Kurugol, PhD

Assistant Professor, Harvard Medical School
Verified email at childrens.harvard.edu
Cited by 1601

MUC5B Promoter Polymorphism and Interstitial Lung Abnormalities

…, T Araki, OE Zazueta, S Kurugol… - … England Journal of …, 2013 - Mass Medical Soc
Background A common promoter polymorphism (rs35705950) in MUC5B, the gene encoding
mucin 5B, is associated with idiopathic pulmonary fibrosis. It is not known whether this …

Development and progression of interstitial lung abnormalities in the Framingham Heart Study

…, M Nishino, OE Zazueta, S Kurugol… - American journal of …, 2016 - atsjournals.org
Rationale: The relationship between the development and/or progression of interstitial lung
abnormalities (ILA) and clinical outcomes has not been previously investigated. Objectives: …

Self‐supervised IVIM DWI parameter estimation with a physics based forward model

…, SK Warfield, O Afacan, S Kurugol - Magnetic resonance …, 2022 - Wiley Online Library
Purpose To assess the robustness and repeatability of intravoxel incoherent motion model (IVIM)
parameter estimation for the diffusion‐weighted MRI in the abdominal organs under …

Automatic renal segmentation in DCE-MRI using convolutional neural networks

…, SK Warfield, S Kurugol - 2018 IEEE 15th …, 2018 - ieeexplore.ieee.org
Kidney function evaluation using dynamic contrast-enhanced MRI (DCE-MRI) images could
help in diagnosis and treatment of kidney diseases of children. Automatic segmentation of …

Intelligent labeling based on fisher information for medical image segmentation using deep learning

…, JG Dy, X Tomas-Fernandez, S Kurugol… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Deep convolutional neural networks (CNN) have recently achieved superior performance at
the task of medical image segmentation compared to classic models. However, training a …

Aorta segmentation with a 3D level set approach and quantification of aortic calcifications in non-contrast chest CT

S Kurugol, RSJ Estepar, J Ross… - … Conference of the IEEE …, 2012 - ieeexplore.ieee.org
Automatic aorta segmentation in thoracic computed tomography (CT) scans is important for
aortic calcification quantification and to guide the segmentation of other central vessels. We …

Automated quantitative 3D analysis of aorta size, morphology, and mural calcification distributions

S Kurugol, CE Come, AA Diaz, JC Ross… - Medical …, 2015 - Wiley Online Library
Purpose: The purpose of this work is to develop a fully automated pipeline to compute aorta
morphology and calcification measures in large cohorts of CT scans that can be used to …

[HTML][HTML] Automated delineation of dermal–epidermal junction in reflectance confocal microscopy image stacks of human skin

S Kurugol, K Kose, B Park, JG Dy, DH Brooks… - Journal of Investigative …, 2015 - Elsevier
Reflectance confocal microscopy (RCM) images skin noninvasively, with optical sectioning
and nuclear-level resolution comparable with that of pathology. On the basis of the …

Active deep learning with fisher information for patch-wise semantic segmentation

J Sourati, A Gholipour, JG Dy, S Kurugol… - … Workshop on Deep …, 2018 - Springer
Deep learning with convolutional neural networks (CNN) has achieved unprecedented
success in segmentation, however it requires large training data, which is expensive to obtain. …

Quantitative renal magnetic resonance imaging: magnetic resonance urography

JD Grattan-Smith, J Chow, S Kurugol, RA Jones - Pediatric radiology, 2022 - Springer
The goal of functional renal imaging is to identify and quantitate irreversible renal damage
and nephron loss, as well as potentially reversible hemodynamic changes. MR urography has …