REsearch on BrEast Cancer induced chronic conditions supported by Causal Analysis of multi-source data

Informazioni relative al progetto

REBECCA

ID dell’accordo di sovvenzione: 965231

DOI

10.3030/965231

Progetto chiuso

Data della firma CE 18 Gennaio 2021

Data di avvio 1 Aprile 2021

Data di completamento 30 Settembre 2025

Finanziato da

• SOCIETAL CHALLENGES - Health, demographic change and well-being

Costo totale

€ 5 280 276,25

Contributo UE

€ 5 280 276,25

Coordinato da

ARISTOTELIO PANEPISTIMIO THESSALONIKIS
Greece

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (4)

REBECCA system evaluation and acceptance by patients and health professionals

Formal presentation of the REBECCA evaluation, integrating study-specific evaluation and acceptance outcomes by patients and health professionals, the feedback collected during the second workshop and the outcomes of the External Expert System Evaluation performed within the REBECCA network.

REBECCA co-creation methodology and plan

Document describing the co-creation methodology, plan and processes to be followed in the project. Live document with releases on M9 and M39.

Legal, ethical and operational framework

Consolidated information on legal ethical and operational restrictions that apply in the REBECCA context

Best practices for integration of multi-source RWD into existing clinical workflows

A systematic presentation of the achievements, the challenges and the lessons learned through the realization of the REBECCA studies, with an out-of-project audience, aiming at facilitating the use of REBECCA (or other comparable RWD collection tools) by relevant stakeholders.

Websites, patent fillings, videos etc. (1)

Project website and dissemination material

Project website social media accounts leaflets posters presentations

Pubblicazioni

Peer reviewed articles (7)

Integrating Nearest Neighbors with Neural Network Models for Treatment Effect Estimation

Autori: Niki Kiriakidou; Christos Diou
Pubblicato in:  International Journal of Neural Systems (IJNS), 2023, ISSN 0129-0657
Editore: World Scientific Publishing Co
DOI: 10.1142/s0129065723500363

Leveraging Unlabelled Data in Multiple-Instance Learning Problems for Improved Detection of Parkinsonian Tremor in Free-Living Conditions

Autori: Alexandros Papadopoulos; Anastasios Delopoulos
Pubblicato in: IEEE Journal of Biomedical and Health Informatics, 2023, ISSN 2168-2194
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/jbhi.2023.3267095

Transportation Mode Recognition Based on Low-Rate Acceleration and Location Signals With an Attention-Based Multiple-Instance Learning Network

Autori: Siargkas, Christos; Papapanagiotou, Vasileios; Delopoulos, Anastasios
Pubblicato in: IEEE Transactions on Intelligent Transportation Systems, 2024, ISSN 1524-9050
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tits.2024.3387834

Multi-Scale and Multi-Layer Contrastive Learning for Domain Generalization

Autori: Aristotelis Ballas; Christos Diou
Pubblicato in: IEEE Transactions on Artificial Intelligence, 2024, ISSN 2691-4581
Editore: IEEE
DOI: 10.1109/tai.2024.3377173

Intake monitoring in free-living conditions: Overview and lessons we have learned

Autori: Diou, Christos; Kyritsis, Konstantinos; Papapanagiotou, Vasileios; Sarafis, Ioannis
Pubblicato in: Appetite, 2022, ISSN 0195-6663
Editore: Elsevier BV
DOI: 10.1016/j.appet.2022.106096

Towards Domain Generalization for ECG and EEG Classification: Algorithms and Benchmarks

Autori: Aristotelis Ballas; Christos Diou
Pubblicato in: IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, ISSN 2471-285X
Editore: IEEE
DOI: 10.1109/tetci.2023.3306253

A Causal Inference Methodology to Support Research on Osteopenia for Breast Cancer Patients

Autori: Niki Kiriakidou, Aristotelis Ballas, Cristina Meliá Hernando, Anna Miralles, Teta Stamati, Dimosthenis Anagnostopoulos, Christos Diou
Pubblicato in: Applied Sciences, Numero 14, 2025, Pagina/e 9700, ISSN 2076-3417
Editore: MDPI AG
DOI: 10.3390/app14219700

Conference proceedings (18)

A Bottom-up method Towards the Automatic and Objective Monitoring of Smoking Behavior In-the-wild using Wrist-mounted Inertial Sensors

Autori: Athanasios Kirmizis; Konstantinos Kyritsis; Anastasios Delopoulos
Pubblicato in: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021
Editore: IEEE
DOI: 10.48550/arxiv.2109.03475

Online Behaviour Indicator Extraction for Enhanced Cancer Patient Management using Real-World Data

Autori: Georgia Panatalona, Anna Barachanou, Nikolaos Loukas, Lazaros Apostolidis, Filareti Tsalakanidou, Symeon Papadopoulos
Pubblicato in: 20th International Conference on Content-based Multimedia Indexing, 2023
Editore: Association for Computing Machinery
DOI: 10.1145/3617233.3617264

Food Image Classification and Segmentation with Attention-Based Multiple Instance Learning

Autori: Vlachopoulou, Valasia; Sarafis, Ioannis; Papadopoulos, Alexandros
Pubblicato in: 18th International Workshop on Semantic and Social Media Adaptation & Personalization, Numero 8, 2023, ISBN 979-8-3503-2771-7
Editore: IEEE
DOI: 10.1109/smap59435.2023.10255199

An Improved Neural Network Model for Treatment Effect Estimation

Autori: Kiriakidou, Niki; Diou, Christos
Pubblicato in: 18th International Conference on Artificial Intelligence Applications and Innovations, 2022
Editore: Springer
DOI: 10.48550/arxiv.2205.11106

Chewing Detection from Commercial Smart-glasses

Autori: Papapanagiotou, Vasileios; Liapi, Anastasia; Delopoulos, Anastasios
Pubblicato in: MADiMa '22: Proceedings of the 7th International Workshop on Multimedia Assisted Dietary Management, Numero 4, 2022, ISBN 978-1-4503-9502-1
Editore: Association for Computing Machinery
DOI: 10.1145/3552484.3555746

A Domain Generalization Approach for Out-Of-Distribution 12-lead ECG Classification with Convolutional Neural Networks

Autori: Ballas, Aristotelis; Diou, Christos
Pubblicato in: 2022 IEEE Eighth International Conference on Big Data Computing Service and Applications (BigDataService), 2022, ISBN 978-1-6654-5890-0
Editore: IEEE
DOI: 10.1109/bigdataservice55688.2022.00009

Detection of Anomalies in Multivariate Time Series Using Ensemble Techniques

Autori: Anastasios Iliopoulos, John Violos, Christos Diou, Iraklis Varlamis
Pubblicato in: 2023 IEEE Ninth International Conference on Big Data Computing Service and Applications, 2023, ISBN 979-8-3503-3534-7
Editore: IEEE
DOI: 10.1109/bigdataservice58306.2023.00007

Listen to your heart: A self-supervised approach for detecting murmur in heart-beat sounds

Autori: Ballas Aristotelis; Papapanagiotou Vasileios; Delopoulos Anastasios; Diou Christos
Pubblicato in: 49th Computing in Cardiology Conference, 2022
Editore: IEEE
DOI: 10.48550/arxiv.2208.14845

Estimation of Food Intake Quantity Using Inertial Signals from Smartwatches

Autori: Ioannis Levi, Konstantinos Kyritsis, Vasileios Papapanagiotou, Georgios Tsakiridis, and Anastasios Delopoulos
Pubblicato in: 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2025), Numero Annual, 2025
Editore: IEEE
DOI: 10.48550/arxiv.2502.06649

REBECCA: A System for Real World Behavioural Data in Breast Cancer Clinical Research and Patient Care

Autori: Paraskevas Bourgos, Filopoimin Lykokanellos, Ioannis Sarafis, Alexandros Papadopoulos, Leonidas Alagialoglou, Vasileios Papapanagiotou, Niki Kiriakidou, Christos Diou, Lazaros Apostolidis, Anna Barach
Pubblicato in: World Congress on Electrical Engineering and Computer Systems and Science, Proceedings of the 11th World Congress on Electrical Engineering and Computer Systems and Science, Numero Annual, 2025
Editore: Avestia Publishing
DOI: 10.11159/icbes25.185

Artificial intelligence and machine learning for objective intake monitoring

Autori: Diou, Christos; Kyritsis, Konstantinos; Papapanagiotou, Vasileios; Sarafis, Ioannis; Delopoulos Anastasios
Pubblicato in: 1st International Conference of Nutritional Sciences and Dietetics, 2022
Editore: Public Health and Toxicology
DOI: 10.18332/pht/149545

EBECCA at eRisk 2024: Search for Symptoms of Depression Using Sentence Embeddings and Prompt-Based Filtering

Autori: Anna Barachanou and Filareti Tsalakanidou and Symeon Papadopoulos
Pubblicato in: Conference and Labs of the Evaluation Forum, Numero Annual, 2024
Editore: CEUR Workshop Proceedings
DOI: 10.5281/zenodo.17764430

Bite-Weight Estimation Using Commercial Ear Buds

Autori: Papapanagiotou, Vasileios; Ganotakis, Stefanos; Delopoulos, Anastasios
Pubblicato in: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021
Editore: IEEE
DOI: 10.1109/embc46164.2021.9630500

Multi-layer Representation Learning for Robust OOD Image Classification

Autori: Aristotelis Ballas; Christos Diou
Pubblicato in: Proceedings of the 12th Hellenic Conference on Artificial Intelligence, 2022
Editore: Association for Computing Machinery
DOI: 10.48550/arxiv.2207.13678

CNNs with Multi-Level Attention for Domain Generalization

Autori: Aristotelis Ballas; Christos Diou
Pubblicato in: ACM International Conference on Multimedia Retrieval 2023, 2023, ISBN 9798400701788
Editore: Association for Computing Machinery
DOI: 10.1145/3591106.3592263

Self-Supervised Feature Learning of 1D Convolutional Neural Networks with Contrastive Loss for Eating Detection Using an In-Ear Microphone

Autori: Papapanagiotou, Vasileios; Diou, Christos; Delopoulos, Anastasios
Pubblicato in: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Numero Annual, 2021
Editore: IEEE
DOI: 10.48550/arxiv.2108.00769

An evaluation framework for comparing causal inference models

Autori: Kiriakidou Niki; Diou Christos
Pubblicato in: Proceedings of the 12th Hellenic Conference on Artificial Intelligence, 2022
Editore: Association for Computing Machinery
DOI: 10.1145/3549737.3549780

Weakly Supervised Food Image Segmentation using Vision Transformers and Segment Anything Model

Autori: Ioannis Sarafis, Alexandros Papadopoulos and Anastasios Delopoulos
Pubblicato in: Numero Annual, 2025
Editore: IEEE
DOI: 10.48550/arxiv.2509.19028