9 citations · 9 across the 5 of their papers we have counts for
5 papers
A unified perspective on wavelength selection for molecular composition inference from diffuse spectroscopy
Kevin Scibilia, Marcel Rosier, Luca Giannoni +6
Optical monitoring of living tissue targeting quantification of molecular composition is an active area of research. In the case of broadband spectroscopy, one can attempt to extra…
Redefining spectral unmixing for in-vivo brain tissue analysis from hyperspectral imaging
Martin Hartenberger, Huzeyfe Ayaz, Fatih Ozlugedik +12
In this paper, we propose a methodology for extracting molecular tumor biomarkers from hyperspectral imaging (HSI), an emerging technology for intraoperative tissue assessment. To…
A transportable hyperspectral imaging setup based on fast, high-density spectral scanning for in situ quantitative biochemical mapping of fresh tissue biopsies
Luca Giannoni, Marta Marradi, Kevin Scibilia +11
Histopathological examination of surgical biopsies, such as in glioma and glioblastoma resection, is hindered in current clinical practice by the long times required for the labora…
Learnable real-time inference of molecular composition from diffuse spectroscopy of brain tissue
Ivan Ezhov, Kevin Scibilia, Luca Giannoni +8
Diffuse optical modalities such as broadband near-infrared spectroscopy (bNIRS) and hyperspectral imaging (HSI) represent a promising alternative for low-cost, non-invasive, and fa…
Identifying chromophore fingerprints of brain tumor tissue on hyperspectral imaging using principal component analysis
Ivan Ezhov, Luca Giannoni, Suprosanna Shit +5
Hyperspectral imaging (HSI) is an optical technique that processes the electromagnetic spectrum at a multitude of monochromatic, adjacent frequency bands. The wide-bandwidth spectr…