26 citations · 49 across the 7 of their papers we have counts for
7 papers
Cross-Spectral Dense Correspondence for Multimodal Spectral Medical Imaging
Eric L. Wisotzky, Jost Triller, Simon W. Härtl +3
Precise dense correspondence is a fundamental prerequisite for multimodal spectral imaging systems that fuse disparate wavelength ranges for subsequent analysis in medical and scie…
Intraoperative perfusion assessment by continuous, low-latency hyperspectral light-field imaging: development, methodology, and clinical application
Stefan Kray, Andreas Schmid, Eric L. Wisotzky +6
Accurate assessment of tissue perfusion is crucial in visceral surgery, especially during anastomosis. Currently, subjective visual judgment is commonly employed in clinical settin…
Synthetic Generation of Dermatoscopic Images with GAN and Closed-Form Factorization
Rohan Reddy Mekala, Frederik Pahde, Simon Baur +11
In the realm of dermatological diagnoses, where the analysis of dermatoscopic and microscopic skin lesion images is pivotal for the accurate and early detection of various medical…
Efficient and Accurate Hyperspectral Image Demosaicing with Neural Network Architectures
Eric L. Wisotzky, Lara Wallburg, Anna Hilsmann +3
Neural network architectures for image demosaicing have been become more and more complex. This results in long training periods of such deep networks and the size of the networks…
Multispectral Stereo-Image Fusion for 3D Hyperspectral Scene Reconstruction
Eric L. Wisotzky, Jost Triller, Anna Hilsmann +1
Spectral imaging enables the analysis of optical material properties that are invisible to the human eye. Different spectral capturing setups, e.g., based on filter-wheel, push-bro…
Hyperspectral Demosaicing of Snapshot Camera Images Using Deep Learning
Eric L. Wisotzky, Charul Daudkhane, Anna Hilsmann +1
Spectral imaging technologies have rapidly evolved during the past decades. The recent development of single-camera-one-shot techniques for hyperspectral imaging allows multiple sp…
Perfusion assessment via local remote photoplethysmography (rPPG)
Benjamin Kossack, Eric Wisotzky, Peter Eisert +3
This paper presents an approach to assess the perfusion of visible human tissue from RGB video files. We propose metrics derived from remote photoplethysmography (rPPG) signals to…