APA (7th ed.) Citation

Wolf, D., Payer, T., Lisson, C. S., Lisson, C. G., Beer, M., Götz, M., & Ropinski, T. (2024). Less is More: Selective Reduction of CT Data for Self-Supervised Pre-Training of Deep Learning Models with Contrastive Learning Improves Downstream Classification Performance.

Chicago Style (17th ed.) Citation

Wolf, Daniel, Tristan Payer, Catharina Silvia Lisson, Christoph Gerhard Lisson, Meinrad Beer, Michael Götz, and Timo Ropinski. Less Is More: Selective Reduction of CT Data for Self-Supervised Pre-Training of Deep Learning Models with Contrastive Learning Improves Downstream Classification Performance. 2024.

MLA (9th ed.) Citation

Wolf, Daniel, et al. Less Is More: Selective Reduction of CT Data for Self-Supervised Pre-Training of Deep Learning Models with Contrastive Learning Improves Downstream Classification Performance. 2024.