Materials Map

Discover the materials research landscape. Find experts, partners, networks.

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

×

Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Fedeli, Alessandro

  • Google
  • 5
  • 19
  • 8

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 2023Assessment of a non-Hilbertian inverse scattering approach for electromagnetic tomography in subsurface environmentscitations
  • 2022Microwaves as Diagnostic Tool for Pituitary Tumors: Preliminary Investigations1citations
  • 2017Brain stroke detection by means of complex dielectric permittivity reconstruction at microwaves5citations
  • 2017Wood characterization by using microwave inverse scattering: Experimental results1citations
  • 2014Quick and reliable estimates of velocity profiles in pipelines by a simple electromagnetic inverse scattering technique1citations

Places of action

Chart of shared publication
Estatico, Claudio
1 / 1 shared
Pastorino, Matteo
4 / 12 shared
Schenone, Valentina
1 / 1 shared
Randazzo, Andrea
5 / 14 shared
Muntoni, Giacomo
1 / 4 shared
Curreli, Nicola
1 / 7 shared
Djuric, Nikola
1 / 1 shared
Vannucci, Luca
1 / 1 shared
Lodi, Matteo Bruno
1 / 5 shared
Casula, Filippo
1 / 1 shared
Scapaticci, Rosa
1 / 1 shared
Fanti, Alessandro
1 / 5 shared
Bisio, Igor
1 / 1 shared
Sciarrone, Andrea
1 / 1 shared
Lavagetto, Fabio
1 / 1 shared
Lanini, Matteo
1 / 1 shared
Maffongelli, Manuela
1 / 1 shared
Monleone, Ricardo
1 / 2 shared
Raffetto, Mirco
1 / 7 shared
Chart of publication period
2023
2022
2017
2014

Co-Authors (by relevance)

  • Estatico, Claudio
  • Pastorino, Matteo
  • Schenone, Valentina
  • Randazzo, Andrea
  • Muntoni, Giacomo
  • Curreli, Nicola
  • Djuric, Nikola
  • Vannucci, Luca
  • Lodi, Matteo Bruno
  • Casula, Filippo
  • Scapaticci, Rosa
  • Fanti, Alessandro
  • Bisio, Igor
  • Sciarrone, Andrea
  • Lavagetto, Fabio
  • Lanini, Matteo
  • Maffongelli, Manuela
  • Monleone, Ricardo
  • Raffetto, Mirco
OrganizationsLocationPeople

article

Microwaves as Diagnostic Tool for Pituitary Tumors: Preliminary Investigations

  • Fedeli, Alessandro
  • Muntoni, Giacomo
  • Curreli, Nicola
  • Djuric, Nikola
  • Vannucci, Luca
  • Lodi, Matteo Bruno
  • Casula, Filippo
  • Scapaticci, Rosa
  • Fanti, Alessandro
  • Randazzo, Andrea
Abstract

<jats:p>To date, tumors, the second cause of death worldwide, are a modern medicine plight. The development of rapid, cost-effective and reliable prevention and diagnostics tools is mandatory to support clinicians and ensure patients’ adequate intervention. Pituitary tumors are a class of neoplasm, which calls for suitable and ad hoc diagnostic tools. Recently, microwaves have gained interest as a non-ionizing, non-invasive valuable diagnostic approach for identifying pathologic tissues according to their dielectric properties. This work deals with the preliminary investigation of the feasibility of using microwaves to diagnose pituitary tumors. In particular, it focuses on benign tumors of the adenohypophysis, e.g., the pituitary adenomas. It is assumed to access the region of interest of the pituitary region by following a trans-sphenoidal approach. The problem was modeled by developing an equivalent transmission line model of the multi-layered, lossy tissues (front bone of sphenoid sinuses, air in the sinuses, posterior bone of sphenoid sinuses, the pituitary gland and the tumor). The forward problem was developed to investigate the transmission coefficient for identifying the most favorable propagation conditions. Then, it was analyzed if, by the solution of an inverse problem, it is possible to reconstruct the permittivity and electrical conductivity profiles and identify the tumor presence. The results are promising since a maximum reconstruction error of 8% is found, in the worst case, thus paving the way for the use of microwaves for the diagnosis of pituitary tumors.</jats:p>

Topics
  • impedance spectroscopy
  • layered
  • electrical conductivity