Optoacoustic sensors for early disease detection and monitoring

Informazioni relative al progetto

RSENSE4Health

ID dell’accordo di sovvenzione: 101034883

DOI 10.3030/101034883

Progetto chiuso

Data della firma CE 16 Marzo 2021

Data di avvio 1 Settembre 2021

Data di completamento 31 Maggio 2023

Finanziato da

• EXCELLENT SCIENCE - Future and Emerging Technologies (FET)

Costo totale € 0,00

Contributo UE € 100 000,00

Coordinato da

TECHNISCHE UNIVERSITAET MUENCHEN
Germany

Risultati finali

Documents, reports (1)

Dissemination report

Pubblicazioni

Other (4)

Frequency Comb Optoacoustic Tomography

Autori: Antonios Stylogiannis, Ludwig Prade, Sarah Glasl, Qutaiba Mustafa, Christian Zakian, Vasilis Ntziachristos
Pubblicato in: BioRxiv, 2021
Editore: Cold Spring Harbor Laboratory
DOI: 10.1101/2021.05.12.443808

InstantDL - An easy-to-use deep learning pipeline for image segmentation and classification

Autori: Dominik Waibel, Sayedali Shetab Boushehri, Carsten Marr
Pubblicato in: BioRxiv, 2020
Editore: Cold Spring Harbor Laboratory
DOI: 10.1101/2020.06.22.164103

Deep learning based electrical noise removal enables high spectral optoacoustic contrast in deep tissue

Autori: Christoph Dehner, Ivan Olefir, Kaushik Basak Chowdhury, Dominik Jüstel, Vasilis Ntziachristos
Pubblicato in: arXiv, 2021
Editore: Cornell University
DOI: 10.48550/arxiv.2102.12960

Non-invasive in-blood glucose sensing

Autori: Nasire Uluç, Sarah Glasl, Dominik Jüstel, Miguel A. Pleitez, Vasilis Ntziachristos
Pubblicato in: BioRvix, 2022
Editore: Cold Spring Harbor Laboratory
DOI: 10.1101/2022.11.30.518508

Peer reviewed articles (5)

Frequency wavelength multiplexed optoacoustic tomography

Autori: Antonios Stylogiannis, Ludwig Prade, Sarah Glasl, Qutaiba Mustafa, Christian Zakian, Vasilis Ntziachristos
Pubblicato in: Nature Communications, 2022, ISSN 2041-1723
Editore: Nature Publishing Group
DOI: 10.1038/s41467-022-32175-6

InstantDL - An easy-to-use deep learning pipeline for image segmentation and classification

Autori: Dominik Jens Elias Waibel, Sayedali Shetab Boushehri, Carsten Marr
Pubblicato in: BMC Bioinformatics, 2021, ISSN 1471-2105
Editore: BioMed Central
DOI: 10.1186/s12859-021-04037-3

Low-cost single-point optoacoustic sensor for spectroscopic measurement of local vascular oxygenation

Autori: Antonios Stylogiannis, Lucas Riobo, Ludwig Prade, Sarah Glasl, Sabine Klein, Giulia Lucidi, Martin Fuchs, Dieter Saur, Vasilis Ntziachristos
Pubblicato in: Optics Letters, 2020, ISSN 0146-9592
Editore: Optical Society of America
DOI: 10.1364/ol.412034

A Low-Cost Optoacoustic Sensor for Environmental Monitoring

Autori: Antonios Stylogiannis,Nikolaos Kousias, Anastasios Kontses,Leonidas Ntziachristos, Vasilis Ntziachristos 1,2,*
Pubblicato in: Sensors, 2021, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s21041379

Deep-Learning-Based Electrical Noise Removal Enables High Spectral Optoacoustic Contrast in Deep Tissue

Autori: Christoph Dehner; Ivan Olefir; Kaushik Basak Chowdhury; Dominik Jüstel; Vasilis Ntziachristos
Pubblicato in: IEEE Transactions on Medical Imaging, 2022, ISSN 0278-0062
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmi.2022.3180115