Rezultaty
Documentation describing the deployed library from Tasks T3.1, T3.5. Draft in M17.
ECVL Toolkit front-endToolkit manual associated to Task T3.4.
EDDLL library (II)Documentation describing deployed library from Tasks T2.1, T2.2 and T2.6. A draft in M17.
EDDLL Toolkit front-endToolkit manual associated to Task T2.5.
ECVL libraryDocumentation describing the deployed library from Tasks T3.1, T3.5. Draft in M17.
EDDLL libraryDocumentation describing deployed library from Tasks T2.1, T2.2 and T2.6. A draft in M17.
This deliverable will release the HPC run-time with all functionalities and a report describing it. Intermediate delivery at M15.
The Runtime system for DeepHealth libraries (II)This deliverable will release the HPC run-time with all functionalities and a report describing it. Intermediate delivery at M15.
Report the activities of Task T55
Summer/Winter school and lessons learntThis deliverable will summarize project lessons learnt and summerwinter school feedback
EDDLL Hardw. algorithms and adaptation to HPC (II)Report describing the adaptation of heterogeneous components to the algorithms implemented on the library Deliverable associated to task T23 A draft in M17
ECVL Hw algorithms and adaptation to HPC infr.Report describing the adaptation of heterogeneous components to the algorithms implemented on the library. Deliverable associated to task T3.2. Draft in M17.
Training toolkitWill include all the specifications and requirements needed for Deep Learning algorithms training: frameworks, neural networks architecture & dataset (T1.4).
ECVL adaptation to cloud environmentsIncludes activities of Task 2.4.
Organisation of a thematic HackathonWill provide a hackathon simposium to promote the developed technology EDDLL and ECVL
Efficient HPC infrastr. for DeepHealth libraries (III)This deliverable will report T51 and the advances of T52 and T53 Intermediate report at M15
EDDLL adaptation to CloudIncludes activities of Task 2.4.
Final validation of DeepHealth conceptThis deliverable will set the final validation process outcome of the whole DeepHealth concept Linked to task T610
Dissemination and comm. plans and reportThis deliverable will provide an elaborate analysis of the stakeholder ecosystem and a plan of the targeted dissemination activities with a continuous reporting style. Tasks T7.1 and T7.2 involved.
Infrastructure & application adaptation requirementsWill include full detail of HPC infrastructure (T1.3) and optimizations for heterogeneous components and cloud (T1.8).
ECVL Hw algorithms and adaptation to HPC infr. (II)Report describing the adaptation of heterogeneous components to the algorithms implemented on the library Deliverable associated to task T32 A draft in M17
EDDLL Hardw. algorithms and adaptation to HPCReport describing the adaptation of heterogeneous components to the algorithms implemented on the library. Deliverable associated to task T2.3. A draft in M17.
Efficient HPC infrastr. for DeepHealth libraries (II)This deliverable will report T51 and the advances of T52 and T53 Intermediate report at M15
API specifications for EDDLL and ECVL librariesWill describe in full detail the API for the libraries to deploy, the deep-learning one (T1.5) and the computer vision one (T1.6).
Dissemination and comm. plans and report (II)This deliverable will provide an elaborate analysis of the stakeholder ecosystem and a plan of the targeted dissemination activities with a continuous reporting style. Tasks T7.1 and T7.2 involved.
Validation of DeepHealth platforms and use casesThis deliverable will include report of the 7 targeted platforms and associated use cases Tasks T63 to T69
Dissemination and comm. plans and report (III)This deliverable will provide an elaborate analysis of the stakeholder ecosystem and a plan of the targeted dissemination activities with a continuous reporting style Tasks T71 and T72 involved
Hybrid cloud computing solutionReport describing T56 task output
Efficient HPC infrastr. for DeepHealth librariesThis deliverable will report T5.1 and the advances of T5.2 and T5.3. Intermediate report at M15.
Validation of the DeepHealth librariesThis report will describe the validation process performed for the target libraries from tasks T61 and T62
This deliverable deals with the data collected and generated during the project, and central data, publications, etc.
Publikacje
Autorzy:
Pino, Carmelo; Palazzo, Simone; Trenta, Francesca; Cordero, Francesca; Bagci, Ulas; Rundo, Francesco; Battiato, Sebastiano; Giordano, Daniela; Aldinucci, Marco; Spampinato, Concetto
Opublikowane w:
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021, Strona(/y) 891-894, ISBN 978-1-6654-1246-9
Wydawca:
IEEE
DOI:
10.1109/isbi48211.2021.9433832
Autorzy:
Del Rio, Mauro;
Lianas, Luca;
Aspegren, Oskar;
Busonera, Giovanni;
Versaci, Francesco;
Zelic, Renata;
Vincent, Per H;
Leo, Simone;
Pettersson, Andreas;
Akre, Olof;
Pireddu, Luca;
Opublikowane w:
21st International Conference on IMAGE ANALYSIS AND PROCESSING. Lecture Notes in Computer Science, 2022, ISBN 978-3-031-13321-3
Wydawca:
Springer, Cham
DOI:
10.1007/978-3-031-13321-3_48
Autorzy:
Peris, Álvaro; Casacuberta Nolla, Francisco
Opublikowane w:
Pattern Recognition and Image Analysis. IbPRIA 2019. Lecture Notes in Computer Science(), vol 11867. Springer, Cham., 2019, Strona(/y) 16-28, ISBN 978-3-030-31332-6
Wydawca:
Springer, Cham
DOI:
10.1007/978-3-030-31332-6_2
Autorzy:
Michele Cancilla; Laura Canalini; Federico Bolelli; Stefano Allegretti; Salvador Carrion; Roberto Paredes; Jon Ander Gómez; Simone Leo; Marco Enrico Piras; Luca Pireddu; Asaf Badouh; Santiago Marco-Sola; Lluc Alvarez; Miquel Moreto; Costantino Grana
Opublikowane w:
International Conference on Pattern Recognition (ICPR) 2021, 2021, Strona(/y) 9881-9888, ISBN 978-1-7281-8808-9
Wydawca:
IEEE
DOI:
10.1109/icpr48806.2021.9411954
Autorzy:
Tomas Teijeiro
Opublikowane w:
2020 Computing in Cardiology Conference, 2020
Wydawca:
IEEE
DOI:
10.22489/cinc.2020.476
Autorzy:
Iacopo Colonnelli; Barbara Cantalupo; Concetto Spampinato; Matteo Pennisi; Marco Aldinucci
Opublikowane w:
ENEA CRESCO in the fight against COVID-19, 2021, Strona(/y) 66-73, ISBN 978-88-8286-415-6
Wydawca:
ENEA -TERIN-ICT-HPC
DOI:
10.5281/zenodo.5151510
Autorzy:
Versaci, Francesco
Opublikowane w:
Pattern Recognition. ICPR International Workshops and Challenges. ICPR 2021. Lecture Notes in Computer Science, 2021, ISBN 978-3-030-68763-2
Wydawca:
Springer, Cham
DOI:
10.1007/978-3-030-68763-2_46
Autorzy:
Carrión, Salvador; López-Chilet, Álvaro; Martı́nez-Bernia, Javier; Coll-Alonso, Joan; Chorro-Juan, Daniel; Gómez, Jon Ander
Opublikowane w:
Image Analysis and Processing. ICIAP 2022 Workshops. ICIAP 2022. Lecture Notes in Computer Science, vol 13373. Springer, Cham., Numer 6, 2022, Strona(/y) 557–566
Wydawca:
Springer, Cham
DOI:
10.1007/978-3-031-13321-3_49
Autorzy:
Colonnelli, Iacopo; Cantalupo, Barbara ; Esposito, Roberto ; Pennisi, Matteo ; Spampinato, Concetto ; Aldinucci, Marco
Opublikowane w:
12th Workshop on Parallel Programming and Run-Time Management Techniques for Many-core Architectures and 10th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms (PARMA-DITAM 2021), 2021, Strona(/y) 5:1--5:13, ISBN 978-3-95977-181-8
Wydawca:
Schloss Dagstuhl -- Leibniz-Zentrum für Informatik
DOI:
10.4230/oasics.parma-ditam.2021.5
Autorzy:
Anthony Hitchcock Thomas; Amir Aminifar; David Atienza
Opublikowane w:
2020 IEEE International Symposium on Circuits and Systems (ISCAS), 2020
Wydawca:
IEEE
DOI:
10.1109/iscas45731.2020.9180429
Autorzy:
, Aldinucci; Berzovini; , Grana; , Grangetto; , Pireddu; , Zanetti
Opublikowane w:
Convegno Nazionale Italiano sull'Intelligenza Artificiale (Ital-IA), 2019
Wydawca:
CINI
DOI:
10.5281/zenodo.3338256
Autorzy:
Monica Caballero, Jon Ander Gomez, Aimilia Bantouna
Opublikowane w:
2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), 2019, Strona(/y) 150-155, ISBN 978-1-7281-2286-1
Wydawca:
IEEE
DOI:
10.1109/CBMS.2019.00040
Autorzy:
Silvio Zanoli, Tomas Teijeiro, Fabio Montagna, David Atienza
Opublikowane w:
2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2020, Strona(/y) 258-263, ISBN 978-3-9819263-4-7
Wydawca:
IEEE
DOI:
10.23919/DATE48585.2020.9116498
Autorzy:
Hitchcock Thomas, Anthony; Aminifar, Amir; Atienza, David
Opublikowane w:
2020 IEEE International Symposium on Circuits and Systems (ISCAS)., Numer 6, 2020
Wydawca:
IEEE
DOI:
10.5281/zenodo.3903314
Autorzy:
Carlo Alberto Barbano; Daniele Perlo; Enzo Tartaglione; Attilio Fiandrotti; Luca Bertero; Paola Cassoni; Marco Grangetto
Opublikowane w:
IEEE International Conference on Image Processing (ICIP), Numer 45, 2021
Wydawca:
IEEE
DOI:
10.1109/icip42928.2021.9506198
Autorzy:
Salvador Carrión; Álvaro López-Chilet; Javier Martı́nez-Bernia; Joan Coll-Alonso; Daniel Chorro-Juan; Jon Ander Gómez
Opublikowane w:
Image Analysis and Processing. ICIAP 2022 Workshops. ICIAP 2022. Lecture Notes in Computer Science, vol 13373. Springer, Cham, 2022, Strona(/y) 522–532, ISBN 978-3-031-13321-3
Wydawca:
Springer, Cham
DOI:
10.1007/978-3-031-13321-3_46
Autorzy:
Versaci, Francesco;
Busonera, Giovanni
Opublikowane w:
2021 IEEE International Conference on Big Data (Big Data), 2021, ISBN 978-1-6654-3902-2
Wydawca:
IEEE
DOI:
10.1109/bigdata52589.2021.9672005
Autorzy:
Carlo Alberto Barbano; Enzo Tartaglione; Claudio Berzovini; Marco Calandri; Marco Grangetto
Opublikowane w:
Image Analysis and Processing – ICIAP 2022 ISBN: 9783031064265, Numer 33, 2022
Wydawca:
Springer Science
DOI:
10.1007/978-3-031-06427-2_15
Autorzy:
Renata Zelic; Francesca Giunchi; Jonna Fridfeldt; Jessica Carlsson; Sabina Davidsson; Luca Lianas; Cecilia Mascia; Daniela Zugna; Luca Molinaro; Per Henrik Vincent; Gianluigi Zanetti; Ove Andrén; Lorenzo Richiardi; Olof Akre; Michelangelo Fiorentino; Andreas Pettersson
Opublikowane w:
Clinical Epidemiology, Numer 18, 2022, Strona(/y) 59--70, ISSN 1179-1349
Wydawca:
Dove Medical Press Ltd
DOI:
10.2147/clep.s339140
Autorzy:
I.Colonnelli, M. Aldinucci, B. Cantalupo, L. Padovani, S. Rabellino, C. Spampinato, R. Morelli, R. Di Carlo, N. Magini, C. Cavazzoni
Opublikowane w:
Future Generation Computer Systems, Numer 0167739X, 2022, Strona(/y) 282-298, ISSN 0167-739X
Wydawca:
Elsevier BV
DOI:
10.1016/j.future.2021.10.007
Autorzy:
Iacopo Colonnelli; Barbara Cantalupo; Ivan Merelli; Marco Aldinucci
Opublikowane w:
IEEE Transactions on Emerging Topics in Computing, Numer 9, 4, 2021, Strona(/y) 1723–1737, ISSN 2168-6750
Wydawca:
IEEE Computer Society
Autorzy:
Lara Orlandic; Tomas Teijeiro; David Atienza
Opublikowane w:
Scientific Data, Vol 8, Iss 1, Pp 1-10 (2021), Numer 27, 2021, ISSN 2052-4463
Wydawca:
Springer Nature
DOI:
10.48550/arxiv.2009.11644
Autorzy:
Irene Pérez-Díez; Raúl Pérez-Moraga; Adolfo López-Cerdán; Marisa Caparrós Redondo; Jose-Maria Salinas-Serrano; María de la Iglesia-Vayá
Opublikowane w:
Journal of Biomedical Semantics, Numer 20411480, 2021, ISSN 2041-1480
Wydawca:
Journal of Biomedical Semantics
DOI:
10.1186/s13326-021-00236-2
Autorzy:
Tartaglione, Enzo; Barbano, Carlo Alberto; Berzovini, Claudio; Calandri, Marco; Grangetto, Marco
Opublikowane w:
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, Numer 17, 2020, ISSN 1660-4601
Wydawca:
MDPI
DOI:
10.3390/ijerph17186933
Autorzy:
Saleh Baghersalimi; Tomas Teijeiro; David Atienza; Amir Aminifar
Opublikowane w:
IEEE Journal of Biomedical and Health Informatics, 2022, ISSN 2168-2194
Wydawca:
Institute of Electrical and Electronics Engineers Inc.
DOI:
10.1109/jbhi.2021.3096127
Autorzy:
Elisabetta de Giovanni; Fabio Montagna; Benoit Denkinger; Simone Machetti; Miguel Peón-Quirós; Simone Benatti; Davide Rossi; Luca Benini; David Atienza
Opublikowane w:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Numer 4, 2020, ISSN 0278-0070
Wydawca:
Institute of Electrical and Electronics Engineers
DOI:
10.1109/tcad.2020.3012652
Autorzy:
Fabrizio D'Ascenzo; Ovidio De Filippo; Guglielmo Gallone; Gianluca Mittone; Marco Agostino Deriu; Mario Iannaccone; Albert Ariza-Solé; Christoph Liebetrau; Sergio Manzano-Fernández; Giorgio Quadri; Tim Kinnaird; Gianluca Campo; José P.S. Henriques; James M. Hughes; Alberto Dominguez-Rodriguez; Marco Aldinucci; Umberto Morbiducci; Giuseppe Patti; Sergio Raposeiras-Roubín; Emad Abu-Assi; Gaetano
Opublikowane w:
The Lancet, Numer 01406736, 2021, Strona(/y) 199-207, ISSN 0140-6736
Wydawca:
The Lancet Publishing Group
DOI:
10.1016/s0140-6736(20)32519-8
Autorzy:
D’Agostino, Daniele; Liò, Pietro; Aldinucci, Marco; Merelli, Ivan
Opublikowane w:
BMC Bioinformatics, Numer 14712105, 2021, ISSN 1471-2105
Wydawca:
BioMed Central
DOI:
10.6084/m9.figshare.14490371
Autorzy:
Daniele D'Agostino; Pietro Liò; Marco Aldinucci; Ivan Merelli
Opublikowane w:
BMC Bioinformatics, Numer 14712105, 2021, ISSN 1471-2105
Wydawca:
BioMed Central
DOI:
10.1186/s12859-020-03937-0
Autorzy:
G. Bontempi, R. Chavarriaga, H. De Canck, E. Girardi, H. Hoos, I. Kilbane-Dawe, T. Ball, A. Nowé, J. Sousa, D. Bacciu, M. Aldinucci, M. De Domenico, A. Saffiotti & M. Maratea
Opublikowane w:
Ethics and Information Technology, Numer 13881957, 2021, Strona(/y) 127–133, ISSN 1388-1957
Wydawca:
Kluwer Academic Publishers
DOI:
10.1007/s10676-020-09567-7
Autorzy:
Pennisi, Matteo; Kavasidis, Isaak; Spampinato, Concetto; Schinina, Vincenzo; Palazzo, Simone; Proietto Salanitri, Federica; Bellitto, Giovanni; Rundo, Francesco; Aldinucci, Marco; Cristofaro, Massimo; Campioni, Paolo; Pianura, Elisa; Di Stefano, Federica; Petrone, Ada; Albarello, Fabrizio; Ippolito, Giuseppe; Cuzzocrea, Salvatore; Conoci, Sabrina
Opublikowane w:
Artificial Intelligence in Medicine: 118, Numer 09333657, 2021, ISSN 0933-3657
Wydawca:
Elsevier BV
DOI:
10.1016/j.artmed.2021.102114
Autorzy:
De Giovanni, Elisabetta; Teijeiro, Tomas; P. Millet, Gregoire; Atienza, David
Opublikowane w:
IEEE Transactions on Biomedical Engineering, Numer 28, 2022, ISSN 0018-9294
Wydawca:
Institute of Electrical and Electronics Engineers
DOI:
10.1109/TBME.2022.3205304
Autorzy:
Farnaz Forooghifar, Amir Aminifar, David Atienza
Opublikowane w:
IEEE Transactions on Biomedical Circuits and Systems, Numer 13/6, 2019, Strona(/y) 1338-1350, ISSN 1932-4545
Wydawca:
Institute of Electrical and Electronics Engineers
DOI:
10.1109/tbcas.2019.2951222
Autorzy:
Valentin Gabeff; Tomas Teijeiro; Marina Zapater; Marina Zapater; Leila Cammoun; Sylvain Rheims; Sylvain Rheims; Philippe Ryvlin; David Atienza
Opublikowane w:
Artificial Intelligence in Medicine, Numer 26, 2021, ISSN 0933-3657
Wydawca:
Elsevier BV
DOI:
10.1016/j.artmed.2021.102084
Autorzy:
Kawsar Haghshenas, Ali Pahlevan, Marina Zapater, Siamak Mohammadi, David Atienza
Opublikowane w:
IEEE Transactions on Services Computing, 2019, Strona(/y) 1-1, ISSN 1939-1374
Wydawca:
Institute of Electrical and Electronics Engineers
DOI:
10.1109/tsc.2019.2919555
Autorzy:
Caballero, Monica; Gomez, Jon A.
Opublikowane w:
2021
Wydawca:
EuroHPC Joint Undertaking
DOI:
10.5281/zenodo.4670289
Autorzy:
Dana Oniga, Robert Dobran, Elisa Ionascu
Opublikowane w:
Stiinta si Tehnica, 2021, Strona(/y) 26-27
Wydawca:
Stiinta & Tehnica
Autorzy:
Marco Aldinucci; David Atienza; Federico Bolelli; Mónica Caballero; Iacopo Colonnelli; José Flich; Jon A. Gómez; David González; Costantino Grana; Marco Grangetto; Simone Leo; Pedro López; Dana Oniga; Roberto Paredes; Luca Pireddu; Eduardo Quiñones; Tatiana Silva; Enzo Tartaglione; Marina Zapater
Opublikowane w:
Technologies and Applications for Big Data Value . Springer, Cham. https://doi.org/10.1007/978-3-030-78307-5_9, 2022, Strona(/y) 183–202, ISBN 978-3-030-78306-8
Wydawca:
Springer, Cham
DOI:
10.1007/978-3-030-78307-5_9
Autorzy:
E. Quiñones, J. Perales, J. Ejarque, A. Badouh, S. Marco, F. Auzanneau, F. Galea, D. González, J.R. Hervás, T. Silva, I. Colonnelli, B. Cantalupo, M. Aldinucci, E. Tartaglione, R. Tornero, J. Flich, J. M. Martínez, D. Rodriguez, I. Catalán, J. García, and C. Hernández (Chapter 10)
D. O.niga, B. Cantalupo, D. Perlo, M. Grangetto, F. Bolelli, F. Pollastri, M. Cancilla, L. Canalini, C. Grana,
Opublikowane w:
HPC, Big Data, and AI Convergence Towards Exascale, 2022, Strona(/y) 217-240, ISBN 9781032009841
Wydawca:
London: CRC Press - Taylor & Francis Group, 2021
DOI:
10.1201/9781003176664
Autorzy:
López Chilet, Álvaro
Opublikowane w:
Análisis del funcionamiento cardíaco mediante redes neuronales, 2020
Wydawca:
Universitat Politècnica de València (UPV)
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