Information

Related Research Units

Radiology Research
Computational Radiology Laboratory Research

Research Overview

Dr. Kurugol's research is focused on developing novel MRI techniques and machine learning algorithms for intelligent medical imaging, and image analysis with the goal of improving the care of pediatric patients.

Publications

  1. IVIM-Morph: Motion-compensated quantitative Intra-voxel Incoherent Motion (IVIM) analysis for functional fetal lung maturity assessment from diffusion-weighted MRI data. ArXiv. 2025 Jan 02. View Abstract
  2. IVIM-Morph: Motion-compensated quantitative Intra-voxel Incoherent Motion (IVIM) analysis for functional fetal lung maturity assessment from diffusion-weighted MRI data. Med Image Anal. 2024 Dec 31; 101:103445. View Abstract
  3. Improving the radiographic image analysis of the classic metaphyseal lesion via conditional diffusion models. Med Image Anal. 2024 Oct; 97:103284. View Abstract
  4. Deep generative model of the distal tibial classic metaphyseal lesion in infants: assessment of synthetic images. Radiol Adv. 2024 Jul; 1(2):umae018. View Abstract
  5. Motion-compensated image reconstruction for improved kidney function assessment using dynamic contrast-enhanced MRI. NMR Biomed. 2024 Jun; 37(6):e5116. View Abstract
  6. Self Supervised Denoising Diffusion Probabilistic Models for Abdominal DW-MRI. Comput Diffus MRI. 2023 Oct; 14328:80-91. View Abstract
  7. Improved myelin water fraction mapping with deep neural networks using synthetically generated 3D data. Med Image Anal. 2024 Jan; 91:102966. View Abstract
  8. Prospective motion correction in kidney MRI using FID navigators. Magn Reson Med. 2023 01; 89(1):276-285. View Abstract
  9. Normative values for ureteral diameter in children. Pediatr Radiol. 2022 07; 52(8):1492-1499. View Abstract
  10. Quantitative renal magnetic resonance imaging: magnetic resonance urography. Pediatr Radiol. 2022 Feb; 52(2):228-248. View Abstract
  11. Learning the Regularization in DCE-MR Image Reconstruction for Functional Imaging of Kidneys. IEEE Access. 2022; 10:4102-4111. View Abstract
  12. 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 (Basel). 2021 Nov 28; 21(23). View Abstract
  13. Self-supervised IVIM DWI parameter estimation with a physics based forward model. Magn Reson Med. 2022 02; 87(2):904-914. View Abstract
  14. 3D Deep Learning for Anatomical Structure Segmentation in Multiple Imaging Modalities. Proc IEEE Int Symp Comput Based Med Syst. 2021 Jun; 2021:166-171. View Abstract
  15. Retrospective Distortion and Motion Correction for Free-Breathing DW-MRI of the Kidneys Using Dual-Echo EPI and Slice-to-Volume Registration. J Magn Reson Imaging. 2021 05; 53(5):1432-1443. View Abstract
  16. Modeling dynamic radial contrast enhanced MRI with linear time invariant systems for motion correction in quantitative assessment of kidney function. Med Image Anal. 2021 01; 67:101880. View Abstract
  17. Simultaneous Motion and Distortion Correction Using Dual-Echo Diffusion-Weighted MRI. J Neuroimaging. 2020 05; 30(3):276-285. View Abstract
  18. Correction to: Prospective pediatric study comparing glomerular filtration rate estimates based on motion-robust dynamic contrast-enhanced magnetic resonance imaging and serum creatinine (eGFR) to 99mTc DTPA. Pediatr Radiol. 2020 May; 50(5):755-756. View Abstract
  19. Prospective pediatric study comparing glomerular filtration rate estimates based on motion-robust dynamic contrast-enhanced magnetic resonance imaging and serum creatinine (eGFR) to 99mTc DTPA. Pediatr Radiol. 2020 05; 50(5):698-705. View Abstract
  20. Bulk motion-compensated DCE-MRI for functional imaging of kidneys in newborns. J Magn Reson Imaging. 2020 07; 52(1):207-216. View Abstract
  21. Feed and wrap magnetic resonance urography provides anatomic and functional imaging in infants without anesthesia. J Pediatr Urol. 2020 Feb; 16(1):116-120. View Abstract
  22. Linear Time Invariant Model based Motion Correction (LiMo-MoCo) of Dynamic Radial Contrast Enhanced MRI. Med Image Comput Comput Assist Interv. 2019 Oct; 11765:430-437. View Abstract
  23. Intelligent Labeling Based on Fisher Information for Medical Image Segmentation Using Deep Learning. IEEE Trans Med Imaging. 2019 11; 38(11):2642-2653. View Abstract
  24. Curved planar reformatting and convolutional neural network-based segmentation of the small bowel for visualization and quantitative assessment of pediatric Crohn's disease from MRI. J Magn Reson Imaging. 2019 06; 49(6):1565-1576. View Abstract
  25. Active Deep Learning with Fisher Information for Patch-wise Semantic Segmentation. Deep Learn Med Image Anal Multimodal Learn Clin Decis Support (2018). 2018 Sep; 11045:83-91. View Abstract
  26. Semi-Automated Extraction of Crohns Disease MR Imaging Markers using a 3D Residual CNN with Distance Prior. Deep Learn Med Image Anal Multimodal Learn Clin Decis Support (2018). 2018 Sep; 11045:218-226. View Abstract
  27. AUTOMATIC RENAL SEGMENTATION IN DCE-MRI USING CONVOLUTIONAL NEURAL NETWORKS. Proc IEEE Int Symp Biomed Imaging. 2018 Apr; 2018:1534-1537. View Abstract
  28. Motion-Robust Spatially Constrained Parameter Estimation in Renal Diffusion-Weighted MRI by 3D Motion Tracking and Correction of Sequential Slices. Mol Imaging Reconstr Anal Mov Body Organs Stroke Imaging Treat (2017). 2017; 10555:75-85. View Abstract
  29. Motion-robust parameter estimation in abdominal diffusion-weighted MRI by simultaneous image registration and model estimation. Med Image Anal. 2017 Jul; 39:124-132. View Abstract
  30. Development and Progression of Interstitial Lung Abnormalities in the Framingham Heart Study. Am J Respir Crit Care Med. 2016 12 15; 194(12):1514-1522. View Abstract
  31. Spatially-constrained probability distribution model of incoherent motion (SPIM) for abdominal diffusion-weighted MRI. Med Image Anal. 2016 08; 32:173-83. View Abstract
  32. Automated quantitative 3D analysis of aorta size, morphology, and mural calcification distributions. Med Phys. 2015 Sep; 42(9):5467-78. View Abstract
  33. Motion Compensated Abdominal Diffusion Weighted MRI by Simultaneous Image Registration and Model Estimation (SIR-ME). Med Image Comput Comput Assist Interv. 2015; 9351:501-9. View Abstract
  34. Abdominal Visceral Adipose Tissue is Associated with Myocardial Infarction in Patients with COPD. Chronic Obstr Pulm Dis. 2015; 2(1):8-16. View Abstract
  35. Childhood-onset asthma in smokers. association between CT measures of airway size, lung function, and chronic airflow obstruction. Ann Am Thorac Soc. 2014 Nov; 11(9):1371-8. View Abstract
  36. Automated delineation of dermal-epidermal junction in reflectance confocal microscopy image stacks of human skin. J Invest Dermatol. 2015 Mar; 135(3):710-717. View Abstract
  37. RANKING AND CLASSIFICATION OF MONOTONIC EMPHYSEMA PATTERNS WITH A MULTI-CLASS HIERARCHICAL APPROACH. Proc IEEE Int Symp Biomed Imaging. 2014 Apr; 2014:1031-1034. View Abstract
  38. MUC5B promoter polymorphism and interstitial lung abnormalities. N Engl J Med. 2013 Jun 06; 368(23):2192-200. View Abstract
  39. Emphysema classification based on embedded probabilistic PCA. Annu Int Conf IEEE Eng Med Biol Soc. 2013; 2013:3969-72. View Abstract
  40. Aorta segmentation with a 3D level set approach and quantification of aortic calcifications in non-contrast chest CT. Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE. 2012; 2343 - 2346. View Abstract
  41. Automated 3D Aorta Segmentation and Calcification Quantification in Non-Contrast Chest CT. In IEEE Int. Symp. on Biomedical Imaging (ISBI'12). 2012. View Abstract
  42. Validation Study of Automated Dermal/Epidermal Junction Localization Algorithm in Reflectance Confocal Microscopy Images of Skin. Proc SPIE Int Soc Opt Eng. 2012 Feb 09; 8207. View Abstract
  43. Aorta segmentation with a 3D level set approach and quantification of aortic calcifications in non-contrast chest CT. Annu Int Conf IEEE Eng Med Biol Soc. 2012; 2012:2343-6. View Abstract
  44. Validation study of automated dermal/epidermal junction localization algorithm in reflectance confocal microscopy images of skin. Proc SPIE. 2012. View Abstract
  45. Machine learning and model based 3D segmentation algorithms for challenging medical imaging problems. PhD Thesis. 2011. View Abstract
  46. Pilot study of semiautomated localization of the dermal/epidermal junction in reflectance confocal microscopy images of skin. J Biomed Opt. 2011 Mar; 16(3):036005. View Abstract
  47. Semi-automated Algorithm for Localization of Dermal/ Epidermal Junction in Reflectance Confocal Microscopy Images of Human Skin. Proc SPIE Int Soc Opt Eng. 2011; 7904:7901A. View Abstract
  48. Centerline extraction with principal curve tracing to improve 3D level set esophagus segmentation in CT images. Annu Int Conf IEEE Eng Med Biol Soc. 2011; 2011:3403-6. View Abstract
  49. Locally Deformable Shape Model to Improve 3D Level Set based Esophagus Segmentation. Proc IAPR Int Conf Pattern Recogn. 2010 Aug 23; 3955-3958. View Abstract
  50. 3D Level Set Esophagus Segmentation in Thoracic CT Images using Spatial, Appearance and Shape Models. In IEEE Int. Symp. on Biomedical Imaging (ISBI'10). 2010. View Abstract
  51. Esophagus Segmentation in Thoracic CT Images for Radiotherapy Planning. The American Association of Physicists in Medicine 51st Annual Meeting (AAPM'09). 2009. View Abstract
  52. Localizing the Dermis/Epidermis Boundary in Reflectance Confocal Microscopy Images with a Hybrid Classification Algorithm. In IEEE Int. Symp. on Biomedical Imaging (ISBI'09). 2009; 1322-1325. View Abstract
  53. Detection of the dermis/epidermis boundary in reflectance confocal images using multi-scale classifier with adaptive texture features. In IEEE Int. Symp. on Biomedical Imaging (ISBI'08). 2008; 492-495. View Abstract
  54. Dynamic DRR Scheduling Algorithm for Flow Level QOS Assurances of Elastic Traffic. M.S. Thesis. 2006. View Abstract

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