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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…