CV

Work experience

• 2023-Now: Postdoctoral Fellow
  • Center for Advanced Imaging Innovation and Research, NYU Grossman School of Medicine
  • PIs: Dr. Daniel K Sodickson and Dr. Hersh Chandarana
• 2017-2023: Research Assistant
  • Department of Medical Imaging, University of Arizona
  • Advisors: Dr. Maria Altbach and Dr. Ali Bilgin
• 2014-2016: Research Assistant
  • Department of Biomedical Engineering, University of Arizona
  • Advisors: Dr. Ted Trouard and Dr. Ali Bilgin

Education

• Ph.D in Electrical and Computer Engineering (Minor: Optical Sciences), University of Arizona, 2023
• M.S. in Electrical and Computer Engineering, University of Arizona, 2016

Publications

Leveraging Representation Learning for Biparametric Prostate MRI to Disambiguate PIRADS3 and Improve Biopsy Decision Strategies

Umapathy, Lavanya; Johnson, Patricia M; Dutt, Tarun; Tong, Angela; Chopra, Sumit; Sodickson, Daniel K; Chandarana, Hersh. Leveraging Representation Learning for Biparametric Prostate MRI to Disambiguate PIRADS3 and Improve Biopsy Decision Strategies. Investigative Radiology. 2025.

Prostate Cancer Risk Stratification and Scan Tailoring Using Deep Learning on Abbreviated Prostate MRI

Johnson, P.M., Dutt, T., Ginocchio, L.A., Saimbhi, A.S., Umapathy, L., Block, K.T., Sodickson, D.K., Chopra, S., Tong, A. and Chandarana, H. (2025), Prostate Cancer Risk Stratification and Scan Tailoring Using Deep Learning on Abbreviated Prostate MRI. J Magn Reson Imaging. https://doi.org/10.1002/jmri.29798

Reducing annotation burden in MR: A novel MR-contrast guided contrastive learning approach for image segmentation

Umapathy L, Brown T, Mushtaq R, Greenhill M, Lu J, Martin D, Altbach M, Bilgin A. Reducing annotation burden in MR: A novel MR-contrast guided contrastive learning approach for image segmentation. Med Phys. 2024 Apr;51(4):2707-2720. doi: 10.1002/mp.16820. Epub 2023 Nov 13. PMID: 37956263; PMCID: PMC10994772.

Convolutional Neural Network Based Frameworks for Fast Automatic Segmentation of Thalamic Nuclei from Native and Synthesized Contrast Structural MRI

Umapathy L, Keerthivasan MB, Zahr NM, Bilgin A, Saranathan M. Convolutional Neural Network Based Frameworks for Fast Automatic Segmentation of Thalamic Nuclei from Native and Synthesized Contrast Structural MRI. Neuroinformatics. 2022 Jul;20(3):651-664. doi: 10.1007/s12021-021-09544-5. Epub 2021 Oct 9. PMID: 34626333; PMCID: PMC8993941.

A Stacked Generalization of 3D Orthogonal Deep Learning Convolutional Neural Networks for Improved Detection of White Matter Hyperintensities in 3D FLAIR Images

Umapathy L, Perez-Carrillo GG, Keerthivasan MB, Rosado-Toro JA, Altbach MI, Winegar B, Weinkauf C, Bilgin A; Alzheimer’s Disease Neuroimaging Initiative. A Stacked Generalization of 3D Orthogonal Deep Learning Convolutional Neural Networks for Improved Detection of White Matter Hyperintensities in 3D FLAIR Images. AJNR Am J Neuroradiol. 2021 Apr;42(4):639-647. doi: 10.3174/ajnr.A6970. Epub 2021 Feb 11. PMID: 33574101; PMCID: PMC8040994.

Fully Automated detection of Globes for Volume Quantification in CT Orbits Images Using Deep Learning

Umapathy L, Winegar B, MacKinnon L, Hill M, Altbach MI, Miller JM, Bilgin A. Fully Automated Segmentation of Globes for Volume Quantification in CT Images of Orbits using Deep Learning. AJNR Am J Neuroradiol. 2020 Jun;41(6):1061-1069. doi: 10.3174/ajnr.A6538. Epub 2020 May 21. PMID: 32439637; PMCID: PMC7342761.