Deep Learning-Based Air Trapping Quantification Using Paired Inspiratory-Expiratory Ultra-low Dose CT

Sarah M. Muller, Sundaresh Ram, Katie J. Bayfield, Julia H. Reuter, Sonja Gestewitz, Lifeng Yu, Mark Oliver Wielpütz, Hans-Ulrich Kauczor, Claus Peter Heussel, Terry E. Robinson, Brian J. Bartholmai, Charles R. Hatt, Paul D. Robinson, Craig J. Galbán, Oliver Weinheimer. Deep Learning-Based Air Trapping Quantification Using Paired Inspiratory-Expiratory Ultra-low Dose CT. In Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu Salcudean, James Duncan 0001, Tanveer F. Syeda-Mahmood, Russell H. Taylor, editors, Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part III. Volume 14222 of Lecture Notes in Computer Science, pages 432-441, Springer, 2023. [doi]

Abstract

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