Livrables
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.
Publications
Auteurs:
Pino, Carmelo; Palazzo, Simone; Trenta, Francesca; Cordero, Francesca; Bagci, Ulas; Rundo, Francesco; Battiato, Sebastiano; Giordano, Daniela; Aldinucci, Marco; Spampinato, Concetto
Publié dans:
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021, Page(s) 891-894, ISBN 978-1-6654-1246-9
Éditeur:
IEEE
DOI:
10.1109/isbi48211.2021.9433832
Auteurs:
Del Rio, Mauro;
Lianas, Luca;
Aspegren, Oskar;
Busonera, Giovanni;
Versaci, Francesco;
Zelic, Renata;
Vincent, Per H;
Leo, Simone;
Pettersson, Andreas;
Akre, Olof;
Pireddu, Luca;
Publié dans:
21st International Conference on IMAGE ANALYSIS AND PROCESSING. Lecture Notes in Computer Science, 2022, ISBN 978-3-031-13321-3
Éditeur:
Springer, Cham
DOI:
10.1007/978-3-031-13321-3_48
Auteurs:
Peris, Álvaro; Casacuberta Nolla, Francisco
Publié dans:
Pattern Recognition and Image Analysis. IbPRIA 2019. Lecture Notes in Computer Science(), vol 11867. Springer, Cham., 2019, Page(s) 16-28, ISBN 978-3-030-31332-6
Éditeur:
Springer, Cham
DOI:
10.1007/978-3-030-31332-6_2
Auteurs:
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
Publié dans:
International Conference on Pattern Recognition (ICPR) 2021, 2021, Page(s) 9881-9888, ISBN 978-1-7281-8808-9
Éditeur:
IEEE
DOI:
10.1109/icpr48806.2021.9411954
Auteurs:
Tomas Teijeiro
Publié dans:
2020 Computing in Cardiology Conference, 2020
Éditeur:
IEEE
DOI:
10.22489/cinc.2020.476
Auteurs:
Iacopo Colonnelli; Barbara Cantalupo; Concetto Spampinato; Matteo Pennisi; Marco Aldinucci
Publié dans:
ENEA CRESCO in the fight against COVID-19, 2021, Page(s) 66-73, ISBN 978-88-8286-415-6
Éditeur:
ENEA -TERIN-ICT-HPC
DOI:
10.5281/zenodo.5151510
Auteurs:
Versaci, Francesco
Publié dans:
Pattern Recognition. ICPR International Workshops and Challenges. ICPR 2021. Lecture Notes in Computer Science, 2021, ISBN 978-3-030-68763-2
Éditeur:
Springer, Cham
DOI:
10.1007/978-3-030-68763-2_46
Auteurs:
Carrión, Salvador; López-Chilet, Álvaro; Martı́nez-Bernia, Javier; Coll-Alonso, Joan; Chorro-Juan, Daniel; Gómez, Jon Ander
Publié dans:
Image Analysis and Processing. ICIAP 2022 Workshops. ICIAP 2022. Lecture Notes in Computer Science, vol 13373. Springer, Cham., Numéro 6, 2022, Page(s) 557–566
Éditeur:
Springer, Cham
DOI:
10.1007/978-3-031-13321-3_49
Auteurs:
Colonnelli, Iacopo; Cantalupo, Barbara ; Esposito, Roberto ; Pennisi, Matteo ; Spampinato, Concetto ; Aldinucci, Marco
Publié dans:
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, Page(s) 5:1--5:13, ISBN 978-3-95977-181-8
Éditeur:
Schloss Dagstuhl -- Leibniz-Zentrum für Informatik
DOI:
10.4230/oasics.parma-ditam.2021.5
Auteurs:
Anthony Hitchcock Thomas; Amir Aminifar; David Atienza
Publié dans:
2020 IEEE International Symposium on Circuits and Systems (ISCAS), 2020
Éditeur:
IEEE
DOI:
10.1109/iscas45731.2020.9180429
Auteurs:
, Aldinucci; Berzovini; , Grana; , Grangetto; , Pireddu; , Zanetti
Publié dans:
Convegno Nazionale Italiano sull'Intelligenza Artificiale (Ital-IA), 2019
Éditeur:
CINI
DOI:
10.5281/zenodo.3338256
Auteurs:
Monica Caballero, Jon Ander Gomez, Aimilia Bantouna
Publié dans:
2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), 2019, Page(s) 150-155, ISBN 978-1-7281-2286-1
Éditeur:
IEEE
DOI:
10.1109/CBMS.2019.00040
Auteurs:
Silvio Zanoli, Tomas Teijeiro, Fabio Montagna, David Atienza
Publié dans:
2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2020, Page(s) 258-263, ISBN 978-3-9819263-4-7
Éditeur:
IEEE
DOI:
10.23919/DATE48585.2020.9116498
Auteurs:
Hitchcock Thomas, Anthony; Aminifar, Amir; Atienza, David
Publié dans:
2020 IEEE International Symposium on Circuits and Systems (ISCAS)., Numéro 6, 2020
Éditeur:
IEEE
DOI:
10.5281/zenodo.3903314
Auteurs:
Carlo Alberto Barbano; Daniele Perlo; Enzo Tartaglione; Attilio Fiandrotti; Luca Bertero; Paola Cassoni; Marco Grangetto
Publié dans:
IEEE International Conference on Image Processing (ICIP), Numéro 45, 2021
Éditeur:
IEEE
DOI:
10.1109/icip42928.2021.9506198
Auteurs:
Salvador Carrión; Álvaro López-Chilet; Javier Martı́nez-Bernia; Joan Coll-Alonso; Daniel Chorro-Juan; Jon Ander Gómez
Publié dans:
Image Analysis and Processing. ICIAP 2022 Workshops. ICIAP 2022. Lecture Notes in Computer Science, vol 13373. Springer, Cham, 2022, Page(s) 522–532, ISBN 978-3-031-13321-3
Éditeur:
Springer, Cham
DOI:
10.1007/978-3-031-13321-3_46
Auteurs:
Versaci, Francesco;
Busonera, Giovanni
Publié dans:
2021 IEEE International Conference on Big Data (Big Data), 2021, ISBN 978-1-6654-3902-2
Éditeur:
IEEE
DOI:
10.1109/bigdata52589.2021.9672005
Auteurs:
Carlo Alberto Barbano; Enzo Tartaglione; Claudio Berzovini; Marco Calandri; Marco Grangetto
Publié dans:
Image Analysis and Processing – ICIAP 2022 ISBN: 9783031064265, Numéro 33, 2022
Éditeur:
Springer Science
DOI:
10.1007/978-3-031-06427-2_15
Auteurs:
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
Publié dans:
Clinical Epidemiology, Numéro 18, 2022, Page(s) 59--70, ISSN 1179-1349
Éditeur:
Dove Medical Press Ltd
DOI:
10.2147/clep.s339140
Auteurs:
I.Colonnelli, M. Aldinucci, B. Cantalupo, L. Padovani, S. Rabellino, C. Spampinato, R. Morelli, R. Di Carlo, N. Magini, C. Cavazzoni
Publié dans:
Future Generation Computer Systems, Numéro 0167739X, 2022, Page(s) 282-298, ISSN 0167-739X
Éditeur:
Elsevier BV
DOI:
10.1016/j.future.2021.10.007
Auteurs:
Iacopo Colonnelli; Barbara Cantalupo; Ivan Merelli; Marco Aldinucci
Publié dans:
IEEE Transactions on Emerging Topics in Computing, Numéro 9, 4, 2021, Page(s) 1723–1737, ISSN 2168-6750
Éditeur:
IEEE Computer Society
Auteurs:
Lara Orlandic; Tomas Teijeiro; David Atienza
Publié dans:
Scientific Data, Vol 8, Iss 1, Pp 1-10 (2021), Numéro 27, 2021, ISSN 2052-4463
Éditeur:
Springer Nature
DOI:
10.48550/arxiv.2009.11644
Auteurs:
Irene Pérez-Díez; Raúl Pérez-Moraga; Adolfo López-Cerdán; Marisa Caparrós Redondo; Jose-Maria Salinas-Serrano; María de la Iglesia-Vayá
Publié dans:
Journal of Biomedical Semantics, Numéro 20411480, 2021, ISSN 2041-1480
Éditeur:
Journal of Biomedical Semantics
DOI:
10.1186/s13326-021-00236-2
Auteurs:
Tartaglione, Enzo; Barbano, Carlo Alberto; Berzovini, Claudio; Calandri, Marco; Grangetto, Marco
Publié dans:
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, Numéro 17, 2020, ISSN 1660-4601
Éditeur:
MDPI
DOI:
10.3390/ijerph17186933
Auteurs:
Saleh Baghersalimi; Tomas Teijeiro; David Atienza; Amir Aminifar
Publié dans:
IEEE Journal of Biomedical and Health Informatics, 2022, ISSN 2168-2194
Éditeur:
Institute of Electrical and Electronics Engineers Inc.
DOI:
10.1109/jbhi.2021.3096127
Auteurs:
Elisabetta de Giovanni; Fabio Montagna; Benoit Denkinger; Simone Machetti; Miguel Peón-Quirós; Simone Benatti; Davide Rossi; Luca Benini; David Atienza
Publié dans:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Numéro 4, 2020, ISSN 0278-0070
Éditeur:
Institute of Electrical and Electronics Engineers
DOI:
10.1109/tcad.2020.3012652
Auteurs:
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
Publié dans:
The Lancet, Numéro 01406736, 2021, Page(s) 199-207, ISSN 0140-6736
Éditeur:
The Lancet Publishing Group
DOI:
10.1016/s0140-6736(20)32519-8
Auteurs:
D’Agostino, Daniele; Liò, Pietro; Aldinucci, Marco; Merelli, Ivan
Publié dans:
BMC Bioinformatics, Numéro 14712105, 2021, ISSN 1471-2105
Éditeur:
BioMed Central
DOI:
10.6084/m9.figshare.14490371
Auteurs:
Daniele D'Agostino; Pietro Liò; Marco Aldinucci; Ivan Merelli
Publié dans:
BMC Bioinformatics, Numéro 14712105, 2021, ISSN 1471-2105
Éditeur:
BioMed Central
DOI:
10.1186/s12859-020-03937-0
Auteurs:
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
Publié dans:
Ethics and Information Technology, Numéro 13881957, 2021, Page(s) 127–133, ISSN 1388-1957
Éditeur:
Kluwer Academic Publishers
DOI:
10.1007/s10676-020-09567-7
Auteurs:
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
Publié dans:
Artificial Intelligence in Medicine: 118, Numéro 09333657, 2021, ISSN 0933-3657
Éditeur:
Elsevier BV
DOI:
10.1016/j.artmed.2021.102114
Auteurs:
De Giovanni, Elisabetta; Teijeiro, Tomas; P. Millet, Gregoire; Atienza, David
Publié dans:
IEEE Transactions on Biomedical Engineering, Numéro 28, 2022, ISSN 0018-9294
Éditeur:
Institute of Electrical and Electronics Engineers
DOI:
10.1109/TBME.2022.3205304
Auteurs:
Farnaz Forooghifar, Amir Aminifar, David Atienza
Publié dans:
IEEE Transactions on Biomedical Circuits and Systems, Numéro 13/6, 2019, Page(s) 1338-1350, ISSN 1932-4545
Éditeur:
Institute of Electrical and Electronics Engineers
DOI:
10.1109/tbcas.2019.2951222
Auteurs:
Valentin Gabeff; Tomas Teijeiro; Marina Zapater; Marina Zapater; Leila Cammoun; Sylvain Rheims; Sylvain Rheims; Philippe Ryvlin; David Atienza
Publié dans:
Artificial Intelligence in Medicine, Numéro 26, 2021, ISSN 0933-3657
Éditeur:
Elsevier BV
DOI:
10.1016/j.artmed.2021.102084
Auteurs:
Kawsar Haghshenas, Ali Pahlevan, Marina Zapater, Siamak Mohammadi, David Atienza
Publié dans:
IEEE Transactions on Services Computing, 2019, Page(s) 1-1, ISSN 1939-1374
Éditeur:
Institute of Electrical and Electronics Engineers
DOI:
10.1109/tsc.2019.2919555
Auteurs:
Caballero, Monica; Gomez, Jon A.
Publié dans:
2021
Éditeur:
EuroHPC Joint Undertaking
DOI:
10.5281/zenodo.4670289
Auteurs:
Dana Oniga, Robert Dobran, Elisa Ionascu
Publié dans:
Stiinta si Tehnica, 2021, Page(s) 26-27
Éditeur:
Stiinta & Tehnica
Auteurs:
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
Publié dans:
Technologies and Applications for Big Data Value . Springer, Cham. https://doi.org/10.1007/978-3-030-78307-5_9, 2022, Page(s) 183–202, ISBN 978-3-030-78306-8
Éditeur:
Springer, Cham
DOI:
10.1007/978-3-030-78307-5_9
Auteurs:
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,
Publié dans:
HPC, Big Data, and AI Convergence Towards Exascale, 2022, Page(s) 217-240, ISBN 9781032009841
Éditeur:
London: CRC Press - Taylor & Francis Group, 2021
DOI:
10.1201/9781003176664
Auteurs:
López Chilet, Álvaro
Publié dans:
Análisis del funcionamiento cardíaco mediante redes neuronales, 2020
Éditeur:
Universitat Politècnica de València (UPV)
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