23 citations · 24 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 1 cited
Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models
Mitchell Pavlak, Nathan Drenkow, Nicholas Petrick +2
To safely deploy deep learning-based computer vision models for computer-aided detection and diagnosis, we must ensure that they are robust and reliable. Towards that goal, algorit…
cs.CV2021★ 23 cited
Deep neural networks-based denoising models for CT imaging and their efficacy
Prabhat KC, Rongping Zeng, M. Mehdi Farhangi +1
Most of the Deep Neural Networks (DNNs) based CT image denoising literature shows that DNNs outperform traditional iterative methods in terms of metrics such as the RMSE, the PSNR…