Insigneo

output

20152023

most citedDenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays

94 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

R. Clayton2 · h 31
Abhirup Banerjee1 · h 16
A. Gad1 · h 17
Andy Swift1 · h 2
A. Swift1 · h 47
Bart Vorselaars1 · h 18
C. Corrado1 · h 16
Cristina Curreli1 · h 12
C. Roney1 · h 29
Dimitrios Kiagias1 · h 4
D. O'Hare1 · h 7
F. Pappalardo1 · h 35

collaborating institutions

University of SheffieldGB7 papers
Centre National de la Recherche ScientifiqueFR1 paper
Centro de Estudios de Física del Cosmos de AragónES1 paper
Centro de Química da MadeiraPT1 paper
Consejo Superior de Investigaciones CientíficasES1 paper
Galaxies, Etoiles, Physique et InstrumentationFR1 paper
IkerbasqueES1 paper
Institute of Space SciencesES1 paper
Instituto de Astrofísica de AndalucíaES1 paper
Instituto de Astrofísica de CanariasES1 paper
Instituto de Física de CantabriaES1 paper
Instituto de Física TeóricaES1 paper

Showing 2015 · astro-ph.GAShow all

1 paper · 2 filters

astro-ph.GA2015★ 24 cited

Stellar populations of galaxies in the ALHAMBRA survey up to $z \sim 1$ . I. MUFFIT: A Multi-Filter Fitting code for stellar population diagnostics

L. A. Díaz-García, A. J. Cenarro, C. López-Sanjuan +29

We present MUFFIT, a new generic code optimized to retrieve the main stellar population parameters of galaxies in photometric multi-filter surveys, and we check its reliability and…

Stellar populations of galaxies in the ALHAMBRA survey up to z∼1. I. MUFFIT: A Multi-Filter Fitting code for stellar population diagnostics

Stellar populations of galaxies in the ALHAMBRA survey up to $z \sim 1$ . I. MUFFIT: A Multi-Filter Fitting code for stellar population diagnostics