A Comparison of Deep Learning Convolution Neural Networks for Liver Segmentation in Radial Turbo Spin Echo Images. - Lavanya Umapathy; Mahesh Bharath Keerthivasan; Jean-Philippe Galons; Wyatt Unger; Diego R. Martín; Maria I. Altbach; Ali Bilgin (CoRR, 2020)

A Contrast Synthesized Thalamic Nuclei Segmentation Scheme using Convolutional Neural Networks. - Lavanya Umapathy; Mahesh Bharath Keerthivasan; Natalie M. Zahr; Ali Bilgin; Manojkumar Saranathan (CoRR, 2020)

White matter hyperintensities volume and cognition: Assessment of a deep learning based lesion detection and quantification algorithm on the Alzheimers Disease Neuroimaging Initiative. - Lavanya Umapathy; Gloria Guzman Perez-Carillo; Blair Winegar; Srinivasan Vedantham; Maria I. Altbach; Ali Bilgin (CoRR, 2020)

A Cascaded Residual UNET for Fully Automated Segmentation of Prostate and Peripheral Zone in T2-weighted 3D Fast Spin Echo Images. - Lavanya Umapathy; Wyatt Unger; Faryal Shareef; Hina Arif; Diego R. Martín; Maria I. Altbach; Ali Bilgin (CoRR, 2020)

Learning to segment with limited annotations: Self-supervised pretraining with regression and contrastive loss in MRI. - Lavanya Umapathy; Zhiyang Fu; Rohit C. Philip; Diego R. Martín; Maria I. Altbach; Ali Bilgin (CoRR, 2022)

Convolutional Neural Network Based Frameworks for Fast Automatic Segmentation of Thalamic Nuclei from Native and Synthesized Contrast Structural MRI. - Lavanya Umapathy; Mahesh Bharath Keerthivasan; Natalie M. Zahr; Ali Bilgin; Manojkumar Saranathan (Neuroinformatics, 2022)

Learning Data Representations for Improving Detection Performance of Deep Learning Models in Medical Imaging Applications. - Lavanya Umapathy (2023)