Natasha Lepore, PhD

Professor of Research Radiology and Biomedical Engineering

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Overview

My current work involves the development of numerical tools for the analysis of brain structural and diffusion magnetic resonance imaging data. In particular, these include improvements to tensor-based morphometry, surface and volume registration, segmentation and statistics for group comparisons. I also work on applying these methods to different types of brain imaging data including prematurity, healthy brain development, healthy twins, blindness, deafness, HIV/AIDS, autism and Alzheimer’s disease. I am currently an assistant professor in Radiology at the University of Southern California and at Children’s Hospital Los Angeles. I graduated with a Bsc in physics and mathematics from the University of Montreal and then obtained a masters in applied mathematics from Cambridge University, in general relativity. My PhD is in theoretical physics (Harvard University), and deals with quantum chaos in quantum billiards living on the plane and the pseudosphere. Afterward, I switched to neuroimaging and became a postdoctoral fellow at the Laboratory of Neuro Imaging, working with Dr Paul Thompson.

Publications

  • Point-of-care brain magnetic resonance imaging in children with head trauma (BRAINCHILD): Protocol for a prospective observational cohort study. PLoS One. 2026; 21(4):e0346502.. View in PubMed
  • Oral morphine pharmacokinetics in healthy children and the effect of genetic polymorphisms: An exploratory study. Paediatr Child Health. 2026 Feb; 31(1):35-41.. View in PubMed
  • Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion. Med Image Comput Comput Assist Interv. 2024 Oct; 15003:444-454.. View in PubMed
  • nnMobileNet: Rethinking CNN for Retinopathy Research. Conf Comput Vis Pattern Recognit Workshops. 2024 Jun; 2024:2285-2294.. View in PubMed
  • Dose-dependent cranial irradiation associations with brain structures and neuropsychological outcomes in children with posterior fossa brain tumors. Brain Behav. 2024 Sep; 14(9):e70019.. View in PubMed
  • Surface-based morphometry of the corpus callosum in young children of ages 1-5. Hum Brain Mapp. 2024 06 15; 45(9):e26693.. View in PubMed
  • UNITY: A low-field magnetic resonance neuroimaging initiative to characterize neurodevelopment in low and middle-income settings. Dev Cogn Neurosci. 2024 10; 69:101397.. View in PubMed
  • Your note, your way: how to write an inpatient progress note accurately and efficiently as an intern. Postgrad Med J. 2023 Jun 08; 99(1171):492-497.. View in PubMed
  • NEC-NET : Segmentation and Feature Extraction Network for the Neurocranium in Early Childhood. Proc SPIE Int Soc Opt Eng. 2022 Nov; 12567.. View in PubMed
  • Self-Supervised Equivariant Regularization Reconciles Multiple Instance Learning: Joint Referable Diabetic Retinopathy Classification and Lesion Segmentation. Proc SPIE Int Soc Opt Eng. 2022 Nov; 12567.. View in PubMed