Towards a Deformable Multi-surface Approach to Ligamentous Spine Models for Predictive Simulation-Based Scoliosis Surgery Planning. - Michel A. Audette; Jérôme Schmid; Craig Goodmurphy; Michael Polanco; Sebastian Y. Bawab; Austin Tapp; H. Sheldon St-Clair (CSI@MICCAI, 2018)

"Surgical Gps" Proof of Concept for Scoliosis Surgery. - Austin Tapp; Michel A. Audette (SpringSim, 2020)

Towards Applications of the "Surgical GPS" on Spinal Procedures. - Austin Tapp; Michel A. Audette; Ava Maghouli (ANNSIM, 2021)

Generation of Patient-Specific, Ligamentoskeletal, Finite Element Meshes for Scoliosis Correction Planning. - Austin Tapp; Christian Payer; Jérôme Schmid; Michael Polanco; Isaac Kumi; Sebastian Y. Bawab; Stacie Ringleb; Carl St. Remy; James Bennett; Rumit Singh Kakar; Michel A. Audette (CLIP/DCL/LL-COVID19/PPML@MICCAI, 2021)

Application of the 'Surgical GPS' to posterior spinal fusion procedures for scoliosis correction. - Austin Tapp; James Bennett; Michel A. Audette (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022)

Model Ensemble for Brain Tumor Segmentation in Magnetic Resonance Imaging. - Daniel Capellán-Martín; Zhifan Jiang; Abhijeet Parida; Xinyang Liu; Van Lam; Hareem Nisar; Austin Tapp; Sarah Elsharkawi; María J. Ledesma-Carbayo; Syed Muhammad Anwar; Marius George Linguraru (BraTS/CrossMoDA@MICCAI, 2023)

MR to CT Synthesis Using 3d Latent Diffusion. - Austin Tapp; Abhijeet Parida; Can Zhao 001; Van Lam; Natasha Leporé; Syed Muhammad Anwar; Marius George Linguraru (ISBI, 2024)

Quality Assurance and Hippocampal Segmentation on Low-Field Pediatric Magnetic Resonance Images. - Austin Tapp; Rahimeh Rouhi; Jeffrey Tanedo; Shreyash Zanjal; Sean C. L. Deoni; Marius George Linguraru; Natasha Leporé (LISA@MICCAI, 2024)

Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion. - Austin Tapp; Can Zhao 001; Holger R. Roth; Jeffrey Tanedo; Syed Muhammad Anwar; Niall J. Bourke; Joseph V. Hajnal; Victoria Nankabirwa; Sean C. L. Deoni; Natasha Leporé; Marius George Linguraru (MICCAI (3), 2024)

Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration. - Abhijeet Parida; Antònia Alomar; Zhifan Jiang; Pooneh Roshanitabrizi; Austin Tapp; María J. Ledesma-Carbayo; Ziyue Xu 001; Syed Muhammed Anwar; Marius George Linguraru; Holger R. Roth (MLMI@MICCAI (2), 2024)

LF_Deface: An Automated Tool for Defacing Pediatric Brain Low-Field MRI. - Rahimeh Rouhi; Jeffrey Tanedo; Austin Tapp; Shreyash Zanjal; Kirsty Donald; Victoria Nankabirwa; Sadia Parkar; Salman Osmani; Reda Tabassum; Sidra Kaleem Jafri; Sean C. L. Deoni; Marius George Linguraru; et al. (SIPAIM, 2024)

Magnetic Resonance Imaging Feature-Based Subtyping and Model Ensemble for Enhanced Brain Tumor Segmentation. - Zhifan Jiang; Daniel Capellán-Martín; Abhijeet Parida; Austin Tapp; Xinyang Liu; María J. Ledesma-Carbayo; Syed Muhammad Anwar; Marius George Linguraru (CoRR, 2024)

Adult Glioma Segmentation in Sub-Saharan Africa using Transfer Learning on Stratified Finetuning Data. - Abhijeet Parida; Daniel Capellán-Martín; Zhifan Jiang; Austin Tapp; Xinyang Liu; Syed Muhammad Anwar; María J. Ledesma-Carbayo; Marius George Linguraru (CoRR, 2024)

Controllable Latent Diffusion-Based 3D Brain Tumor Segmentation: With Synthetic Label Generation and Detailed Variance Map. - Xinyang Liu; Pengfei Guo; Daniel Capellán-Martín; Zhifan Jiang; Holger R. Roth; Austin Tapp; María J. Ledesma-Carbayo; Syed Muhammad Anwar; Marius George Linguraru (ISBI, 2025)