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ORCIDLavanya Umapathy
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Books and Theses
- 2023
[b1]Lavanya Umapathy:
Learning Data Representations for Improving Detection Performance of Deep Learning Models in Medical Imaging Applications. University of Arizona, Tucson, USA, 2023
Journal Articles
- 2022
- [j1]Lavanya Umapathy
, Mahesh Bharath Keerthivasan, Natalie M. Zahr, Ali Bilgin, Manojkumar Saranathan:
Convolutional Neural Network Based Frameworks for Fast Automatic Segmentation of Thalamic Nuclei from Native and Synthesized Contrast Structural MRI. Neuroinformatics 20(3): 651-664 (2022)
Informal and Other Publications
- 2022
- [i5]Lavanya Umapathy, Zhiyang Fu, Rohit C. Philip, Diego R. Martín, Maria I. Altbach, Ali Bilgin:
Learning to segment with limited annotations: Self-supervised pretraining with regression and contrastive loss in MRI. CoRR abs/2205.13109 (2022) - 2020
- [i4]Lavanya Umapathy, Mahesh Bharath Keerthivasan, Jean-Philippe Galons, Wyatt Unger, Diego R. Martín, Maria I. Altbach, Ali Bilgin:
A Comparison of Deep Learning Convolution Neural Networks for Liver Segmentation in Radial Turbo Spin Echo Images. CoRR abs/2004.05731 (2020) - [i3]Lavanya Umapathy, Mahesh Bharath Keerthivasan, Natalie M. Zahr, Ali Bilgin, Manojkumar Saranathan:
A Contrast Synthesized Thalamic Nuclei Segmentation Scheme using Convolutional Neural Networks. CoRR abs/2012.09386 (2020) - [i2]Lavanya Umapathy, Gloria Guzman Perez-Carillo, Blair Winegar, Srinivasan Vedantham, Maria I. Altbach, Ali Bilgin:
White matter hyperintensities volume and cognition: Assessment of a deep learning based lesion detection and quantification algorithm on the Alzheimers Disease Neuroimaging Initiative. CoRR abs/2012.13059 (2020) - [i1]Lavanya Umapathy, Wyatt Unger, Faryal Shareef, Hina Arif, Diego R. Martín, Maria I. Altbach, Ali Bilgin:
A Cascaded Residual UNET for Fully Automated Segmentation of Prostate and Peripheral Zone in T2-weighted 3D Fast Spin Echo Images. CoRR abs/2012.13501 (2020)
Coauthor Index
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