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05/26/2022
Learning to segment with limited annotations: Self-supervised pretraining with regression and contrastive loss in MRI
Obtaining manual annotations for large datasets for supervised training ...
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12/25/2020
A Cascaded Residual UNET for Fully Automated Segmentation of Prostate and Peripheral Zone in T2-weighted 3D Fast Spin Echo Images
Multi-parametric MR images have been shown to be effective in the non-in...
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12/24/2020
White matter hyperintensities volume and cognition: Assessment of a deep learning based lesion detection and quantification algorithm on the Alzheimers Disease Neuroimaging Ini
The relationship between cognition and white matter hyperintensities (WM...
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12/17/2020
A Contrast Synthesized Thalamic Nuclei Segmentation Scheme using Convolutional Neural Networks
Thalamic nuclei have been implicated in several neurological diseases. W...
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04/13/2020
