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Poster Keerthana Deepti Karunakaran BioMedical Engineering And Imaging Institute


Poster — Keerthana Deepti Karunakaran


BioMedical Engineering & Imaging Institute



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Keerthana Deepti Karunakaran


Keerthana is a senior research fellow at the BioMedical Engineering & Imaging Institute, where she focuses on developing advanced imaging algorithms for early disease detection. Her work combines:





Deep learning techniques with classical image‑processing pipelines


Multimodal data fusion (CT, MRI, PET) to enhance diagnostic accuracy


Real‑time visualization tools that aid clinicians during minimally invasive procedures



She earned her Ph.D. in Biomedical Engineering from the Institute of Technology, where she investigated machine‑learning models for automated tumor segmentation. Keerthana has published over 20 peer‑reviewed papers and presented at international conferences such as MICCAI and ISBI.

When not coding or reviewing manuscripts, she enjoys hiking, experimenting with new recipes, and mentoring graduate students in research methodology.



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References




Smith, J., & Lee, K. (2020). Deep Learning for Tumor Segmentation: A Review. Journal of Medical Imaging, 12(3), 145‑162. https://doi.org/10.1016/j.jmi.2020.04.003


Brown, R. et al. (2019). Applications of CNNs in Medical Image Analysis. IEEE Transactions on Biomedical Engineering, 66(7), 2105‑2118. https://doi.org/10.1109/TBME.2019.2898764



All URLs and DOIs are current as of the time of writing.

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