2 papers
cs.CV2024
Physically Consistent Image Augmentation for Deep Learning in Mueller Matrix Polarimetry
Christopher Hahne, Omar Rodriguez-Nunez, Éléa Gros +6
Mueller matrix polarimetry captures essential information about polarized light interactions with a sample, presenting unique challenges for data augmentation in deep learning due…
physics.optics2024
Machine Learning Model for Complete Reconstruction of Diagnostic Polarimetric Images from partial Mueller polarimetry data
Sooyong Chae, Tongyu Huang, Omar Rodrıguez-Nunez +11
The translation of imaging Mueller polarimetry to clinical practice is often hindered by large footprint and relatively slow acquisition speed of the existing instruments. Using po…