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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.