Implantable NMR Microprobe Design using a Machine learning approach

Autor: Bernardo, José, Trejo, Abel, Werling, Lucas, Uhring, Wilfried, Hebrard, Luc, Gontrand, Christian, Fakri-Bouchet, Latifa

Publikováno v: Rencontres des Jeunes Chercheurs en Intelligence Artificielle (RJCIA'21) Plate-Forme Intelligence Artificielle (PFIA'21)
Rencontres des Jeunes Chercheurs en Intelligence Artificielle (RJCIA'21) Plate-Forme Intelligence Artificielle (PFIA'21), Jul 2021, Bordeaux, France. pp.73-74

National audience; In this work, we propose the use of an Artificial Neuronal Network (ANN) to achieve the design process of an implantable Nuclear Magnetic Resonance (NMR) microprobe. Before the micromanufacturing process, we need to optimize the mi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::778fcde01d1e14ad8583d40834e8e7c1
https://hal.science/hal-03298735/file/RJCIA_2021_paper_15.pdf

New Methodology to Improve an Implantable Micro-sensor for NMR Spectroscopy

Autor: Bernardo, José, Rangel-Trejo, Abel, Adewolu, Adam, Werling, Lucas, Uhring, Wilfried, Hebrard, Luc, Gontrand, Christian, Fakri-Bouchet, Latifa

Publikováno v: Sensros 2021
Sensros 2021, Oct 2021, Milan, Italy

International audience

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::15bf99f78815ab87ce6927a9e51edcf0
https://hal.archives-ouvertes.fr/hal-03420639