ABOUT THE RESEARCHER

OVERVIEW

  • Developing web-based neuro-computational workflows for common radiological settings
  • Curvature/shape analysis on brain surfaces
  • Information processing/optimization in brain connectivity

BACKGROUND

I am currently faculty Staff Scientist at the Children's Hospital Boston, where I am the Technical Director of the Fetal-Neonatal Neuroimaging and Development Science Center (FNNDSC). The Center aims to play both a research and clinical role in the Boston’s Children's Hospital, and in my capacity at the Center I am engaged in both translational as well as applied research. The goal of the translational research component is to rapidly prototype and deploy complex research-based software within a clinical setting. To this end I head up a small team developing simple interfaces to creating, managing, and using a wide array of research software, as well as optimizing design and execution of the same. My applied research explores and models the basic processes underpinning human brain development, especially the shape of cortical surfaces and the role this can play in development and disease. Related interests are white matter tractography, specifically the propagation and flow of information through brain networks, as well as investigating relationships between cortical surface markers and internal fiber organization.

PUBLICATIONS

Publications powered by Harvard Catalyst Profiles

  1. Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge. Med Image Anal. 2021 May; 70:101972. View abstract
  2. BRAIN AGE ESTIMATION USING LSTM ON CHILDREN'S BRAIN MRI. Proc IEEE Int Symp Biomed Imaging. 2020 Apr; 2020:420-423. View abstract
  3. Disorganized Patterns of Sulcal Position in Fetal Brains with Agenesis of Corpus Callosum. Cereb Cortex. 2018 09 01; 28(9):3192-3203. View abstract
  4. Reusable Client-Side JavaScript Modules for Immersive Web-Based Real-Time Collaborative Neuroimage Visualization. Front Neuroinform. 2017; 11:32. View abstract
  5. Brain extraction in pediatric ADC maps, toward characterizing neuro-development in multi-platform and multi-institution clinical images. Neuroimage. 2015 Nov 15; 122:246-61. View abstract
  6. Longitudinal changes in diffusion properties in white matter pathways of children with tuberous sclerosis complex. Pediatr Neurol. 2015 Jun; 52(6):615-23. View abstract
  7. ChRIS--A web-based neuroimaging and informatics system for collecting, organizing, processing, visualizing and sharing of medical data. Annu Int Conf IEEE Eng Med Biol Soc. 2015; 2015:206-9. View abstract
  8. Quantification and discrimination of abnormal sulcal patterns in polymicrogyria. Cereb Cortex. 2013 Dec; 23(12):3007-15. View abstract
  9. A quantitative method for correlating observations of decreased apparent diffusion coefficient with elevated cerebral blood perfusion in newborns presenting cerebral ischemic insults. Neuroimage. 2012 Nov 15; 63(3):1510-8. View abstract
  10. Diffusion tensor analysis of pediatric multiple sclerosis and clinically isolated syndromes. AJNR Am J Neuroradiol. 2013 Feb; 34(2):417-23. View abstract
  11. Regional infant brain development: an MRI-based morphometric analysis in 3 to 13 month olds. Cereb Cortex. 2013 Sep; 23(9):2100-17. View abstract
  12. Intrinsic curvature: a marker of millimeter-scale tangential cortico-cortical connectivity? Int J Neural Syst. 2011 Oct; 21(5):351-66. View abstract
  13. Quantitative comparison and analysis of sulcal patterns using sulcal graph matching: a twin study. Neuroimage. 2011 Aug 01; 57(3):1077-86. View abstract
  14. Assessment of the frequency-domain multi-distance method to evaluate the brain optical properties: Monte Carlo simulations from neonate to adult. Biomed Opt Express. 2011 Feb 11; 2(3):552-67. View abstract
  15. White matter maturation reshapes structural connectivity in the late developing human brain. Proc Natl Acad Sci U S A. 2010 Nov 02; 107(44):19067-72. View abstract
  16. Tract-based analysis of callosal, projection, and association pathways in pediatric patients with multiple sclerosis: a preliminary study. AJNR Am J Neuroradiol. 2010 Jan; 31(1):121-8. View abstract
  17. A METHODOLOGY FOR ANALYZING CURVATURE IN THE DEVELOPING BRAIN FROM PRETERM TO ADULT. Int J Imaging Syst Technol. 2008 Jun 01; 18(1):42-68. View abstract
  18. Cortical surface shape analysis based on spherical wavelets. IEEE Trans Med Imaging. 2007 Apr; 26(4):582-97. View abstract
  19. Cortical Surface Shape Analysis Based on Spherical Wavelet Transformation. Conf Comput Vis Pattern Recognit Workshops. 2006 Jun; 2006. View abstract