Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Antonio Foncubierta-Rodriguez"'
Autor:
Niharika S. D’Souza, Hongzhi Wang, Andrea Giovannini, Antonio Foncubierta-Rodriguez, Kristen L. Beck, Orest Boyko, Tanveer Syeda-Mahmood
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164484
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21094fb53f584edf02554e0c49e3e76d
https://doi.org/10.1007/978-3-031-16449-1_28
https://doi.org/10.1007/978-3-031-16449-1_28
Autor:
Pushpak Pati, Guillaume Jaume, Antonio Foncubierta-Rodriguez, Florinda Feroce, Giosue Scognamiglio, Anna Maria Anniciello, Nadia Brancati, Maria Frucci, Daniel Riccio, Jean-Philippe Thiran, Orcun Goksel, Maria Gabrani
Publikováno v:
Artificial Intelligence Applications in Human Pathology, edited by Huss, Ralf; Grunkin, Michael., pp. 243–285. Londra: World Scientific Publishing, 2022
info:cnr-pdr/source/autori:P. Pati, G. Jaume, A. Foncubierta-Rodriguez, F. Feroce, G. Scognamiglio, A. M. Anniciello, N. Brancati, M. Frucci, D. Riccio, J.-P. Thiran, O. Goksel, M. Gabrani/titolo:Graph representation learning & explainability in breast cancer pathology: bridging the gap between AI and pathology practice/titolo_volume:Artificial Intelligence Applications in Human Pathology/curatori_volume:Huss, Ralf; Grunkin, Michael./editore: /anno:2022
info:cnr-pdr/source/autori:P. Pati, G. Jaume, A. Foncubierta-Rodriguez, F. Feroce, G. Scognamiglio, A. M. Anniciello, N. Brancati, M. Frucci, D. Riccio, J.-P. Thiran, O. Goksel, M. Gabrani/titolo:Graph representation learning & explainability in breast cancer pathology: bridging the gap between AI and pathology practice/titolo_volume:Artificial Intelligence Applications in Human Pathology/curatori_volume:Huss, Ralf; Grunkin, Michael./editore: /anno:2022
While cancer cases continue to increase and diagnosis, prognosis and treatment become more digital, AI-assisted cancer patient care, in particular in the pathology daily practice, remains scarce and rudimentary. In this chapter, we focus on reducing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2dc3510f7f563ed4b649c99b95190fbd
https://publications.cnr.it/doc/463064
https://publications.cnr.it/doc/463064
Autor:
Hung-Chun Hsu, Hung-Wen Tsai, Maria Gabrani, Pau-Choo Chung, Antonio Foncubierta Rodriguez, Yu-Ting Wu
Publikováno v:
2021 IEEE Symposium Series on Computational Intelligence (SSCI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1fac669eba0ce2c10b7ab960187d24d
https://doi.org/10.1109/ssci50451.2021.9659856
https://doi.org/10.1109/ssci50451.2021.9659856
Autor:
Henning Müller, Oscar Alfonso Jimenez del Toro, Allan Hanbury, Georg Langs, Antonio Foncubierta Rodriguez
This book constitutes the proceedings of the First International Workshop on Multimodal Retrieval in the Medical Domain, MRMD 2015, held in Vienna, Austria, on March 29, 2015. The workshop was held in connection with ECIR 2015. The 14 full papers pre
Autor:
Antonio Foncubierta Rodriguez, Allan Hanbury, Georg Langs, Oscar Alfonso Jiménez del Toro, Henning Müller
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319163536
ECIR
ECIR
The workshop Multimodal Retrieval in the Medical Domain (MRMD) dealt with various approaches of information retrieval in the medical domain including modalities such as text, structured data, semantic information, images, and videos. The goal was to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f5f7e701e8b3c05a8cbf2fcc5e26bbf
https://doi.org/10.1007/978-3-319-16354-3_97
https://doi.org/10.1007/978-3-319-16354-3_97
Autor:
Allan Hanbury, Oscar Alfonso Jiménez del Toro, Antonio Foncubierta Rodriguez, Henning Müller, Georg Langs
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319244709
MRDM@ECIR
MRDM@ECIR
The workshop Multimodal Retrieval in the Medical Domain (MRMD) took place in connection with the European Conference of Information Retrieval (ECIR) in Vienna, Austria on March 29, 2015. The workshop included two invited presentations and seven accep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::130a1e7004b97ae02c8c5dcd3e88bfd5
https://doi.org/10.1007/978-3-319-24471-6_1
https://doi.org/10.1007/978-3-319-24471-6_1
Autor:
Henning Müller, Antonio Foncubierta Rodriguez, Pierre-Alexandre Alois Poletti, Alexandra Platon, Adrien Depeursinge, Yashin Dicente Cid
Publikováno v:
Proceedings of SPIE, Vol. 9414 (2015) P. 941407
Medical Imaging: Computer-Aided Diagnosis
Medical Imaging: Computer-Aided Diagnosis
Pulmonary embolism (PE) affects up to 600,000 patients and contributes to at least 100,000 deaths every year in the United States alone. Diagnosis of PE can be difficult as most symptoms are unspecific and early diagnosis is essential for successful
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df2cb880c4d43ae393543bb8a5de4eb8
https://archive-ouverte.unige.ch/unige:111737
https://archive-ouverte.unige.ch/unige:111737
Publikováno v:
CrowdMM@ACM Multimedia
As in many other scientific domains where computer--based tools need to be evaluated, also medical imaging often requires the expensive generation of manual ground truth. For some specific tasks medical doctors can be required to guarantee high quali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ed19b9f1f590244e21225de195c0b58
https://doi.org/10.1145/2390803.2390808
https://doi.org/10.1145/2390803.2390808