ADASSM: Adversarial Data Augmentation in Statistical Shape Models From Images
Presentation, Fall 2023, CS 7938: Image Analysis Seminar, University of Utah, Salt Lake City, Utah
Talks and Presentations
Enabling data diversity: efficient automatic augmentation via regularized adversarial training
Presentation, Fall 2022, CS 7938: Image Analysis Seminar, University of Utah, Salt Lake City, Utah
I have presented the work of Gao, Yunhe, et al. “Enabling data diversity: efficient automatic augmentation via regularized adversarial training.” International Conference on Information Processing in Medical Imaging. Cham: Springer International Publishing, 2021.