5 citations · 5 across the 2 of their papers we have counts for
4 papers
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…
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…
Characterization of Polarimetric Properties in Various Brain Tumor Types Using Wide-Field Imaging Mueller Polarimetry
Romane Gros, Omar Rodriguez-Nunez, Leonard Felger +8
Neuro-oncological surgery is the primary brain cancer treatment, yet it faces challenges with gliomas due to their invasiveness and the need to preserve neurological function. Henc…
Near-Real-Time Mueller Polarimetric Image Processing for Neurosurgical Intervention
Stefano Moriconi, Omar Rodriguez-Nunez, Romane Gros +7
Wide-field imaging Mueller polarimetry is a revolutionary, label-free, and non-invasive modality for computer-aided intervention: in neurosurgery it aims to provide visual feedback…