4 citations · 6 across the 5 of their papers we have counts for
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cs.CV2022
Learning to segment with limited annotations: Self-supervised pretraining with regression and contrastive loss in MRI
Lavanya Umapathy, Zhiyang Fu, Rohit Philip +3
Obtaining manual annotations for large datasets for supervised training of deep learning (DL) models is challenging. The availability of large unlabeled datasets compared to labele…
cs.CV2020★ 4 cited
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 +4
Multi-parametric MR images have been shown to be effective in the non-invasive diagnosis of prostate cancer. Automated segmentation of the prostate eliminates the need for manual a…