Enamundram Naga Karthik
Hi there! I’m Naga, a fourth-year PhD student at NeuroPoly, Polytechnique Montréal. I’m also affiliated to Mila - Québec AI Institute. My research focuses on developing deep learning-based methods for medical image analysis, with a particular interest in spinal cord imaging using real-world clinical data. My current projects include contrast-agnostic segmentation of the spinal cord and the segmentation of lesions in spinal cord injury and multiple sclerosis (MS). I have also experimented with generative modelling, in particular, training GANs for cross-modality MR-CT synthesis and diffusion models for synthesizing spinal cord lesions. In the past, I have also worked on the application of continual/lifelong learning methods for the segmentation of brain MS lesions.
When I am not working, you’ll find me either running , hiking , or reading .
news
Apr 27, 2024 | Our spin-off project comparing different DL architectures for contrast-agnostic spinal cord segmentation was accepted at the MIDL 2024 Short Paper Track! |
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Mar 7, 2024 | I was awarded the DAAD Short-term Research Grants for a 4-month research stay at the Technical University of Munich, Germany! |
Feb 2, 2024 | Our recent works on contrast-agnostic spinal cord segmentation and segmentation of spinal cord injury lesions were accepted for Oral Presentations at the 2024 ISMRM & ISMRT Annual Meeting & Exhibition in Singapore ! |
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! |