33 citations · 43 across the 5 of their papers we have counts for
5 papers
3D Nephrographic Image Synthesis in CT Urography with the Diffusion Model and Swin Transformer
Hongkun Yu, Syed Jamal Safdar Gardezi, E. Jason Abel +8
Purpose: This study aims to develop and validate a method for synthesizing 3D nephrographic phase images in CT urography (CTU) examinations using a diffusion model integrated with…
Merlin: A Computed Tomography Vision-Language Foundation Model and Dataset
Louis Blankemeier, Ashwin Kumar, Joseph Paul Cohen +37
The large volume of abdominal computed tomography (CT) scans coupled with the shortage of radiologists have intensified the need for automated medical image analysis tools. Previou…
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…
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…
Comp2Comp: Open-Source Body Composition Assessment on Computed Tomography
Louis Blankemeier, Arjun Desai, Juan Manuel Zambrano Chaves +11
Computed tomography (CT) is routinely used in clinical practice to evaluate a wide variety of medical conditions. While CT scans provide diagnoses, they also offer the ability to e…