Uncertainty quantification in medical image synthesis
Abstract Machine learning approaches to medical image synthesis have shown outstanding
performance, but often do not convey uncertainty information. In this chapter, we survey …
performance, but often do not convey uncertainty information. In this chapter, we survey …
Active Subsampling Using Deep Generative Models by Maximizing Expected Information Gain
KCE van de Camp, H Joudeh… - ICASSP 2023-2023 …, 2023 - ieeexplore.ieee.org
We introduce an adaptive, fully probabilistic pipeline for optimized signal subsampling in
sampling-budget constrained systems. Our pipeline equips an agent with a deep generative …
sampling-budget constrained systems. Our pipeline equips an agent with a deep generative …