MUC5B Promoter Polymorphism and Interstitial Lung Abnormalities GM Hunninghake, H Hatabu, Y Okajima, W Gao, J Dupuis, JC Latourelle, ... New England Journal of Medicine 368 (23), 2192-2200, 2013 | 428 | 2013 |
Development and progression of interstitial lung abnormalities in the Framingham Heart Study T Araki, RK Putman, H Hatabu, W Gao, J Dupuis, JC Latourelle, ... American journal of respiratory and critical care medicine 194 (12), 1514-1522, 2016 | 295 | 2016 |
Aorta segmentation with a 3D level set approach and quantification of aortic calcifications in non-contrast chest CT S Kurugol, RSJ Estepar, J Ross, GR Washko 2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012 | 67 | 2012 |
Automatic renal segmentation in DCE-MRI using convolutional neural networks M Haghighi, SK Warfield, S Kurugol 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 54 | 2018 |
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, R Milind Journal of Investigative Dermatology, 2014 | 53 | 2014 |
Intelligent labeling based on fisher information for medical image segmentation using deep learning J Sourati, A Gholipour, JG Dy, X Tomas-Fernandez, S Kurugol, ... IEEE transactions on medical imaging 38 (11), 2642-2653, 2019 | 49 | 2019 |
Automated quantitative 3D analysis of aorta size, morphology, and mural calcification distributions S Kurugol, CE Come, AA Diaz, JC Ross, GL Kinney, JL Black‐Shinn, ... Medical physics 42 (9), 5467-5478, 2015 | 47 | 2015 |
Active deep learning with fisher information for patch-wise semantic segmentation J Sourati, A Gholipour, JG Dy, S Kurugol, SK Warfield International Workshop on Deep Learning in Medical Image Analysis, 83-91, 2018 | 39 | 2018 |
Pilot study of semiautomated localization of the dermal/epidermal junction in reflectance confocal microscopy images of skin S Kurugol, JG Dy, DH Brooks, M Rajadhyaksha Journal of biomedical optics 16 (3), 036005-036005-13, 2011 | 37 | 2011 |
Self-supervised IVIM DWI parameter estimation with a physics based forward model SD Vasylechko, SK Warfield, O Afacan, S Kurugol Magnetic Resonance in Medicine, 2021 | 35 | 2021 |
Semi-automated algorithm for localization of dermal/epidermal junction in reflectance confocal microscopy images of human skin S Kurugol, JG Dy, M Rajadhyaksha, KW Gossage, J Weissmann, ... Three-Dimensional and Multidimensional Microscopy: Image Acquisition and …, 2011 | 35 | 2011 |
Abdominal visceral adipose tissue is associated with myocardial infarction in patients with COPD AA Diaz, TP Young, S Kurugol, E Eckbo, N Muralidhar, JK Chapman, ... Chronic Obstructive Pulmonary Diseases: Journal of the COPD Foundation 2 (1), 8, 2015 | 32 | 2015 |
Motion-robust parameter estimation in abdominal diffusion-weighted MRI by simultaneous image registration and model estimation S Kurugol, M Freiman, O Afacan, L Domachevsky, JM Perez-Rossello, ... Medical Image Analysis 39, 124–132, 2017 | 28 | 2017 |
Feed and wrap magnetic resonance urography provides anatomic and functional imaging in infants without anesthesia S Kurugol, CM Seager, H Thaker, J Coll-Font, O Afacan, RC Nichols, ... Journal of pediatric urology 16 (1), 116-120, 2020 | 24 | 2020 |
Curved planar reformatting and convolutional neural network‐based segmentation of the small bowel for visualization and quantitative assessment of pediatric Crohn's disease … Y Lamash, S Kurugol, M Freiman, JM Perez‐Rossello, MJ Callahan, ... Journal of Magnetic Resonance Imaging 49 (6), 1565-1576, 2019 | 24 | 2019 |
Childhood-onset asthma in smokers. Association between CT measures of airway size, lung function, and chronic airflow obstruction AA Diaz, ME Hardin, CE Come, R San José Estépar, JC Ross, S Kurugol, ... Annals of the American Thoracic Society 11 (9), 1371-1378, 2014 | 22 | 2014 |
Quantitative renal magnetic resonance imaging: magnetic resonance urography JD Grattan-Smith, J Chow, S Kurugol, RA Jones Pediatric radiology, 1-21, 2022 | 19 | 2022 |
Spatially-constrained probability distribution model of incoherent motion (SPIM) for abdominal diffusion-weighted MRI S Kurugol, M Freiman, O Afacan, JM Perez-Rossello, MJ Callahan, ... Medical image analysis 32, 173-183, 2016 | 19 | 2016 |
Bulk motion‐compensated DCE‐MRI for functional imaging of kidneys in newborns J Coll‐Font, O Afacan, JS Chow, RS Lee, A Stemmer, SK Warfield, ... Journal of Magnetic Resonance Imaging 52 (1), 207-216, 2020 | 18 | 2020 |
Prospective pediatric study comparing glomerular filtration rate estimates based on motion-robust dynamic contrast-enhanced magnetic resonance imaging and serum creatinine … S Kurugol, O Afacan, RS Lee, CM Seager, MA Ferguson, DR Stein, ... Pediatric Radiology, 2020 | 17 | 2020 |