7 citations · 13 across the 6 of their papers we have counts for
4 papers · 1 filter
Deep intra-operative illumination calibration of hyperspectral cameras
Alexander Baumann, Leonardo Ayala, Alexander Studier-Fischer +6
Hyperspectral imaging (HSI) is emerging as a promising novel imaging modality with various potential surgical applications. Currently available cameras, however, suffer from poor i…
Unsupervised Domain Transfer with Conditional Invertible Neural Networks
Kris K. Dreher, Leonardo Ayala, Melanie Schellenberg +11
Synthetic medical image generation has evolved as a key technique for neural network training and validation. A core challenge, however, remains in the domain gap between simulatio…
Semantic segmentation of surgical hyperspectral images under geometric domain shifts
Jan Sellner, Silvia Seidlitz, Alexander Studier-Fischer +5
Robust semantic segmentation of intraoperative image data could pave the way for automatic surgical scene understanding and autonomous robotic surgery. Geometric domain shifts, how…
Machine learning-based analysis of hyperspectral images for automated sepsis diagnosis
Maximilian Dietrich, Silvia Seidlitz, Nicholas Schreck +16
Sepsis is a leading cause of mortality and critical illness worldwide. While robust biomarkers for early diagnosis are still missing, recent work indicates that hyperspectral imagi…