Comp2Comp: Open-Source Body Composition Assessment on Computed Tomography. - Louis Blankemeier; Arjun D. Desai; Juan Manuel Zambrano Chaves; Andrew Wentland; Sally Yao; Eduardo Pontes Reis; Malte E. K. Jensen; Bhanushree Bahl; Khushboo Arora; Bhavik N. Patel; Leon Lenchik; Marc H. Willis; et al. (CoRR, 2023)

ResNCT: A Deep Learning Model for the Synthesis of Nephrographic Phase Images in CT Urography. - Syed Jamal Safdar Gardezi; Lucas Aronson; Peter Wawrzyn; Hongkun Yu 004; E. Jason Abel; Daniel D. Shapiro; Meghan G. Lubner; Joshua D. Warner; Giuseppe Toia; Lu Mao; Pallavi Tiwari; Andrew L. Wentland (CoRR, 2024)

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; Andrew L. Wentland (CoRR, 2024)

Merlin: A Vision Language Foundation Model for 3D Computed Tomography. - Louis Blankemeier; Joseph Paul Cohen; Ashwin Kumar; Dave Van Veen; Syed Jamal Safdar Gardezi; Magdalini Paschali; Zhihong Chen; Jean-Benoit Delbrouck; Eduardo Pontes Reis; Cesar Truyts; Christian Bluethgen; Malte Engmann Kjeldskov Jensen; et al. (CoRR, 2024)

SwinDiff_ConSeg: Automatic Segmentation of Ureters in Consecutive CT Urography Based on Swin Transformer and Diffusion Model. - Hongkun Yu 004; Syed Jamal Safdar Gardezi; Paige Zuber; Andrew L. Wentland (ISBI, 2025)

SwinDiff_DAS: Data Augmentation for Segmentation of the Urinary Collecting System Based on the Shift-Window Transformer and Diffusion Model. - Hongkun Yu 004; Jamal Gardezi; Paige Zuber; Andrew L. Wentland (ISBI, 2025)

Contrast-Aware Network With Aggregated-Interacted Transformer and Multi-Granularity Aligned Contrastive Learning for Synthesizing Contrast-Enhanced Abdomen CT Imaging. - Qikui Zhu; Andrew L. Wentland; Shuo Li 001 (IEEE Trans. Computational Imaging, 2025)

3D Nephrographic Image Synthesis in CT Urography with the Diffusion Model and Swin Transformer. - Hongkun Yu 004; Syed Jamal Safdar Gardezi; E. Jason Abel; Daniel D. Shapiro; Meghan G. Lubner; Joshua D. Warner; Matthew Smith; Giuseppe Toia; Lu Mao; Pallavi Tiwari; Andrew L. Wentland (CoRR, 2025)