most citedAutomatic Segmentation of the Kidneys and Cystic Renal Lesions on Non-Contrast CT Using a Convolutional Neural Network

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

eess.IV2024

ResNCT: A Deep Learning Model for the Synthesis of Nephrographic Phase Images in CT Urography

Syed Jamal Safdar Gardezi, Lucas Aronson, Peter Wawrzyn +9

Purpose: To develop and evaluate a transformer-based deep learning model for the synthesis of nephrographic phase images in CT urography (CTU) examinations from the unenhanced and…

eess.IV2024★ 1 cited

Automatic Segmentation of the Kidneys and Cystic Renal Lesions on Non-Contrast CT Using a Convolutional Neural Network

Lucas Aronson, Ruben Ngnitewe Massaa, Syed Jamal Safdar Gardezi +1

Objective: Automated segmentation tools are useful for calculating kidney volumes rapidly and accurately. Furthermore, these tools have the power to facilitate large-scale image-ba…