Search Results for author: Syed Jamal Safdar Gardezi

Found 3 papers, 0 papers with code

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

no code implementations14 May 2024 Lucas Aronson, Ruben Ngnitewe Massaa, Syed Jamal Safdar Gardezi, Andrew L. Wentland

Conclusion: A deep learning model trained to segment kidneys and cystic renal lesions on non-contrast CT examinations was able to provide highly accurate segmentations, with a median kidney Dice Similarity Coefficient of 0. 934.

Computed Tomography (CT) Image Registration +1

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

no code implementations7 May 2024 Syed Jamal Safdar Gardezi, Lucas Aronson, Peter Wawrzyn, Hongkun Yu, E. Jason Abel, Daniel D. Shapiro, Meghan G. Lubner, Joshua Warner, Giuseppe Toia, Lu Mao, Pallavi Tiwari, Andrew L. Wentland

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 urographic phases.

Image Generation SSIM

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