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Inspecting state of the art performance and NLP metrics in image-based medical report generation

Autor: Pino, Pablo, Parra, Denis, Messina, Pablo, Besa, Cecilia, Uribe, Sergio

Several deep learning architectures have been proposed over the last years to deal with the problem of generating a written report given an imaging exam as input. Most works evaluate the generated reports using standard Natural Language Processing (N

Externí odkaz: http://arxiv.org/abs/2011.09257

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A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images

Autor: Messina, Pablo, Pino, Pablo, Parra, Denis, Soto, Alvaro, Besa, Cecilia, Uribe, Sergio, andía, Marcelo, Tejos, Cristian, Prieto, Claudia, Capurro, Daniel

Every year physicians face an increasing demand of image-based diagnosis from patients, a problem that can be addressed with recent artificial intelligence methods. In this context, we survey works in the area of automatic report generation from medi

Externí odkaz: http://arxiv.org/abs/2010.10563

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Akademický článek

Fusogenic Cell-Derived nanocarriers for cytosolic delivery of cargo inside living cells

Autor: Soprano, Enrica, Migliavacca, Martina, López-Ferreiro, Miriam, Pelaz, Beatriz, Polo, Ester, del Pino, Pablo

Publikováno v: In Journal of Colloid And Interface Science 15 October 2023 648:488-496

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Effective macrospin model for $Co_{x}Fe_{3-x}O_{4}$ nanoparticles: decreasing the anisotropy by Co-doping?

Autor: Serantes, David, Faílde, Daniel, Baldomir, Daniel, Pelaz, Beatriz, del Pino, Pablo, Chantrell, Roy W.

$Co$-doping of $Fe_{3}O_{4}$ magnetic nanoparticles is an effective way to tailor their magnetic properties. When considering the two extreme cases of the $Co_{x}Fe_{3-x}O_{4}$ series, i.e. the $x=0$ and $x=1$ values, one finds that the system evolve

Externí odkaz: http://arxiv.org/abs/1909.10643

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