4 papers
PG-ControlNet: A Physics-Guided ControlNet for Generative Spatially Varying Image Deblurring
Hakki Motorcu, Mujdat Cetin
Spatially varying image deblurring remains a fundamentally ill-posed problem, especially when degradations arise from complex mixtures of motion and other forms of blur under signi…
Conformalized Generative Bayesian Imaging: An Uncertainty Quantification Framework for Computational Imaging
Canberk Ekmekci, Mujdat Cetin
Uncertainty quantification plays an important role in achieving trustworthy and reliable learning-based computational imaging. Recent advances in generative modeling and Bayesian n…
LG-Sleep: Local and Global Temporal Dependencies for Mice Sleep Scoring
Shadi Sartipi, Mie Andersen, Natalie Hauglund +4
Efficiently identifying sleep stages is crucial for unraveling the intricacies of sleep in both preclinical and clinical research. The labor-intensive nature of manual sleep scorin…
Integrating Generative and Physics-Based Models for Ptychographic Imaging with Uncertainty Quantification
Canberk Ekmekci, Tekin Bicer, Zichao Wendy Di +2
Ptychography is a scanning coherent diffractive imaging technique that enables imaging nanometer-scale features in extended samples. One main challenge is that widely used iterativ…