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most citedWNet: A data-driven dual-domain denoising model for sparse-view computed tomography with a trainable reconstruction layer

48 citations · 79 across the 12 of their papers we have counts for

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eess.IV2021★ 3 cited

Estimating Total Lung Volume from Pixel-level Thickness Maps of Chest Radiographs Using Deep Learning

Tina Dorosti, Manuel Schultheiss, Philipp Schmette +11

Purpose: To estimate the total lung volume (TLV) from real and synthetic frontal chest radiographs (CXR) on a pixel level using lung thickness maps generated by a U-Net deep learni…