Naga Karthik Enamundram

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At Moraine Lake, Banff

Hi there! I’m Naga, a third-year biomed PhD student at NeuroPoly, Polytechnique Montréal. I’m also affiliated to Mila - Québec AI Institute. My research mainly involves developing deep learning-based methods for medical image analysis using real-world clinical data. In particular, I am interested in the analysis of spinal cord magnetic resonance (MR) images. My current projects include automatic segmentation of spinal cord lesions in spinal cord injury and multiple sclerosis (MS) and synthesizing healthy/pathological MR images using diffusion models. In the past, I have also worked on the application of continual learning methods for brain MS lesion segmentation.

When I am not working, you’ll find me either running :running:, hiking :mountain:, or reading :book:.

news

Nov 22, 2023 I gave a talk on Automatic Segmentation of Brain and Spinal Cord Lesions across Pathologies at the UNIQUE Fellows Get-Together, held at Mila!
Aug 8, 2023 I gave a talk on Continual Learning for Medical Image Segmentation at the Chandar Lab Symposium, held at Mila!
Jun 25, 2023 Starting over with this new personal website!

selected publications

  1. medRxiv
    SCIseg: Automatic Segmentation of T2-weighted Hyperintense Lesions in Spinal Cord Injury
    Naga Karthik Enamundram*, Jan Valosek*, Andrew C Smith, Dario Pfyffer, Simon Schading-Sassenhausen, Lynn Farner, Kenneth Arnold Weber II, Patrick Freund, and Julien Cohen-Adad
    medRxiv, 2024
    *shared first authorship
  2. arXiv
    Towards contrast-agnostic soft segmentation of the spinal cord
    Sandrine Bédard*, Naga Karthik Enamundram*, Charidimos Tsagkas, Emanuele Pravatà, Cristina Granziera, Andrew Smith, Kenneth Arnold Weber II, and Julien Cohen-Adad
    2023
    *shared first authorship