The holistic perspective of the INCISIVE project: artificial intelligence in screening mammography

Ivan Lazic; Ferran Agullo; Susanna Ausso; Bruno Alves; Caroline Barelle; Josep Ll Berral; Paschalis Bizopoulos; Oana Bunduc; Ioanna Chouvarda; Didier Dominguez; Dimitrios Filos; Alberto Gutierrez-Torre; Iman Hesso; Nikša Jakovljević; Reem Kayyali; Magdalena Kogut-Czarkowska; Alexandra Kosvyra; Antonios Lalas; Maria Lavdaniti; Tatjana Loncar-Turukalo; Sara Martinez-Alabart; Nassos Michas; Shereen Nabhani-Gebara; Andreas Raptopoulos; Yiannis Roussakis; Evangelia Stalika; Chrysostomos Symvoulidis; Olga Tsave; Konstantinos Votis; Andreas Charalambous

doi:10.3390/app12178755

The holistic perspective of the INCISIVE project: artificial intelligence in screening mammography

Ivan Lazic
, Ferran Agullo
, Susanna Ausso
, Bruno Alves
, Caroline Barelle
, Josep Ll Berral
, Paschalis Bizopoulos
, Oana Bunduc
, Ioanna Chouvarda
, Didier Dominguez
, Dimitrios Filos
, Alberto Gutierrez-Torre
, Iman Hesso
, Nikša Jakovljević
, Reem Kayyali
, Magdalena Kogut-Czarkowska
, Alexandra Kosvyra
, Antonios Lalas
, Maria Lavdaniti
, Tatjana Loncar-Turukalo

Sara Martinez-Alabart, Nassos Michas, Shereen Nabhani-Gebara, Andreas Raptopoulos, Yiannis Roussakis, Evangelia Stalika, Chrysostomos Symvoulidis, Olga Tsave, Konstantinos Votis, Andreas Charalambous

University of Novi Sad
Barcelona Supercomputing Center
Ministry of Health of Catalonia
European Dynamics
Center for Research and Technology - Hellas
Telesto IoT Solutions
Aristotle University of Thessaloniki
Kingston University
Timelex BV/SRL
International Hellenic University
Hellenic Cancer Society, Athens
European Dynamics
German Oncology Center
University of Piraeus
Cyprus University of Technology

Research output: Contribution to journal › Article › peer-review

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Original language	English
Article number	8755
Journal	Applied Sciences
Volume	12
Issue number	17
Early online date	31 Aug 2022
DOIs	https://doi.org/10.3390/app12178755
Publication status	Published - 30 Sept 2022

Bibliographical note

Note: This work was supported by the European Union's Horizon 2020 research and innovation program under grant agreement no 952179, and the Ministry of Economy, Industry, and Competitiveness of Spain under contracts PID2019-107255GB and 2017-SGR-1414.

Keywords

Cancer studies

Access to Document

10.3390/app12178755

Hesso-I-52208-VoRFinal published version, 4.5 MBLicence: CC BY

https://doi.org/10.3390/app12178755

INCISIVE: A multimodal AI-based toolbox and an interoperable health imaging repository for the empowerment of imaging analysis related to the diagnosis, prediction and follow-up of cancer
El Nabhani, S. (PI)
1/10/20 → 31/03/24
Project: Research

Cite this

Lazic, I., Agullo, F., Ausso, S., Alves, B., Barelle, C., Berral, J. L., Bizopoulos, P., Bunduc, O., Chouvarda, I., Dominguez, D., Filos, D., Gutierrez-Torre, A., Hesso, I., Jakovljević, N., Kayyali, R., Kogut-Czarkowska, M., Kosvyra, A., Lalas, A., Lavdaniti, M., ... Charalambous, A. (2022). The holistic perspective of the INCISIVE project: artificial intelligence in screening mammography. Applied Sciences, 12(17), Article 8755. https://doi.org/10.3390/app12178755

@article{1475dafa67d94f949f20e2804d62efe4,

title = "The holistic perspective of the INCISIVE project: artificial intelligence in screening mammography",

keywords = "Cancer studies",

author = "Ivan Lazic and Ferran Agullo and Susanna Ausso and Bruno Alves and Caroline Barelle and Berral, \{Josep Ll\} and Paschalis Bizopoulos and Oana Bunduc and Ioanna Chouvarda and Didier Dominguez and Dimitrios Filos and Alberto Gutierrez-Torre and Iman Hesso and Nik{\v s}a Jakovljevi{\'c} and Reem Kayyali and Magdalena Kogut-Czarkowska and Alexandra Kosvyra and Antonios Lalas and Maria Lavdaniti and Tatjana Loncar-Turukalo and Sara Martinez-Alabart and Nassos Michas and Shereen Nabhani-Gebara and Andreas Raptopoulos and Yiannis Roussakis and Evangelia Stalika and Chrysostomos Symvoulidis and Olga Tsave and Konstantinos Votis and Andreas Charalambous",

note = "Note: This work was supported by the European Union's Horizon 2020 research and innovation program under grant agreement no 952179, and the Ministry of Economy, Industry, and Competitiveness of Spain under contracts PID2019-107255GB and 2017-SGR-1414.",

year = "2022",

month = sep,

day = "30",

doi = "10.3390/app12178755",

language = "English",

volume = "12",

journal = "Applied Sciences",

issn = "2076-3417",

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}

Lazic, I, Agullo, F, Ausso, S, Alves, B, Barelle, C, Berral, JL, Bizopoulos, P, Bunduc, O, Chouvarda, I, Dominguez, D, Filos, D, Gutierrez-Torre, A, Hesso, I, Jakovljević, N, Kayyali, R, Kogut-Czarkowska, M, Kosvyra, A, Lalas, A, Lavdaniti, M, Loncar-Turukalo, T, Martinez-Alabart, S, Michas, N, Nabhani-Gebara, S, Raptopoulos, A, Roussakis, Y, Stalika, E, Symvoulidis, C, Tsave, O, Votis, K & Charalambous, A 2022, 'The holistic perspective of the INCISIVE project: artificial intelligence in screening mammography', Applied Sciences, vol. 12, no. 17, 8755. https://doi.org/10.3390/app12178755

TY - JOUR

T1 - The holistic perspective of the INCISIVE project

T2 - artificial intelligence in screening mammography

AU - Lazic, Ivan

AU - Agullo, Ferran

AU - Ausso, Susanna

AU - Alves, Bruno

AU - Barelle, Caroline

AU - Berral, Josep Ll

AU - Bizopoulos, Paschalis

AU - Bunduc, Oana

AU - Chouvarda, Ioanna

AU - Dominguez, Didier

AU - Filos, Dimitrios

AU - Gutierrez-Torre, Alberto

AU - Hesso, Iman

AU - Jakovljević, Nikša

AU - Kayyali, Reem

AU - Kogut-Czarkowska, Magdalena

AU - Kosvyra, Alexandra

AU - Lalas, Antonios

AU - Lavdaniti, Maria

AU - Loncar-Turukalo, Tatjana

AU - Martinez-Alabart, Sara

AU - Michas, Nassos

AU - Nabhani-Gebara, Shereen

AU - Raptopoulos, Andreas

AU - Roussakis, Yiannis

AU - Stalika, Evangelia

AU - Symvoulidis, Chrysostomos

AU - Tsave, Olga

AU - Votis, Konstantinos

AU - Charalambous, Andreas

N1 - Note: This work was supported by the European Union's Horizon 2020 research and innovation program under grant agreement no 952179, and the Ministry of Economy, Industry, and Competitiveness of Spain under contracts PID2019-107255GB and 2017-SGR-1414.

PY - 2022/9/30

Y1 - 2022/9/30

KW - Cancer studies

U2 - 10.3390/app12178755

DO - 10.3390/app12178755

M3 - Article

SN - 2076-3417

VL - 12

JO - Applied Sciences

JF - Applied Sciences

IS - 17

M1 - 8755

ER -

The holistic perspective of the INCISIVE project: artificial intelligence in screening mammography

Bibliographical note

Keywords

Access to Document

Projects

INCISIVE: A multimodal AI-based toolbox and an interoperable health imaging repository for the empowerment of imaging analysis related to the diagnosis, prediction and follow-up of cancer

Cite this