Lavanya Umapathy

Lavanya Umapathy

Postdoctoral Fellow at NYU Grossman School of Medicine

Publications

You can also find a complete list of all my articles on my Google Scholar profile.

Journal Articles

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

Published in Investigative Radiology, 2025

Representation learning for prostate MRI

Recommended citation: 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.
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Prostate Cancer Risk Stratification and Scan Tailoring Using Deep Learning on Abbreviated Prostate MRI

Published in JMRI, 2025

Intelligent scanning for prostate MRI

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

Published in Med Physics, 2023

Multi-contrast contrastive learning for MR segmentation

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

Published in Neuroinformatics, 2021

Representation learning approach to learn synthesis of WMn-MPRAGE images for improved thalamic nuclei segmentation

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

Published in Am J Neuroradiol, 2021

Stacked Generalization for WMH segmentation in T2-FLAIR images.

Recommended citation: 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.
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Fully Automated detection of Globes for Volume Quantification in CT Orbits Images Using Deep Learning

Published in Am J Neuroradiol, 2009

Deep learning based segmentation for orbits in CT images.

Recommended citation: 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.
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