International Clinical Validation of Radiomics Artificial Intelligence for Breast Cancer Treatment Planning

Project Information

RadioVal

Grant agreement ID: 101057699

DOI

10.3030/101057699

EC signature date 19 May 2022

Start date 1 September 2022

End date 31 August 2026

Funded under

• Health

Total cost

€ 5 838 576,00

EU contribution

€ 5 838 576,00

Coordinated by

UNIVERSITAT DE BARCELONA
Spain

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Websites, patent fillings, videos etc. (1)

Project website

Project website is launched.

Documents, reports (4)

Study initiation package
Communication material
Plan for dissemination and exploitation incl. communication activities
Social innovation framework

A social innovation framework to compile multi-stakeholder requirements and pathways for enhancing radiomics evaluation and implementation in breast cancer.

Publications

Peer reviewed articles (13)

Breast radiotherapy planning: A decision‐making framework using deep learning

Author(s): Pedro Gallego, Eva Ambroa, Jaime PérezAlija, Nuria Jornet, Cristina Anson, Natalia Tejedor, Helena Vivancos, Agust Ruiz, Marta Barceló, Alejandro Dominguez, Victor Riu, Javier Roda, Pablo Carrasco, Simone Balocco, Oliver Díaz
Published in: Medical Physics, Issue 52, 2025, ISSN 0094-2405
Publisher: Wiley
DOI: 10.1002/MP.17527

FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Author(s): Lekadir, Karim; Feragen, Aasa; Fofanah, Abdul Joseph; Frangi, Alejandro F; Buyx, Alena; Emelie, Anais; Lara, Andrea; Porras, Antonio R; Chan, An-Wen; Navarro, Arcadi; Glocker, Ben; Botwe, Benard O; Khanal, Bishesh; Beger, Brigit; Wu, Carol C; Cintas, Celia; Langlotz, Curtis P; Rueckert, Daniel; Mzurikwao, Deogratias; Fotiadis, Dimitrios I; Zhussupov, Doszhan; Ferrante, Enzo; Meijering, Erik; Weicken, Eva; González, Fabio A; Asselbergs, Folkert W; Prior, Fred; Krestin, Gabriel P; Collins, Gary; Tegenaw, Geletaw S; Kaissis, Georgios; Misuraca, Gianluca; Tsakou, Gianna; Dwivedi, Girish; Kondylakis, Haridimos; Jayakody, Harsha; Woodruf, Henry C; Mayer, Horst Joachim; Aerts, Hugo JWL; Walsh, Ian; Chouvarda, Ioanna; Buvat, Irène; Tributsch, Isabell; Rekik, Islem; Duncan, James; Kalpathy-Cramer, Jayashree; Zahir, Jihad; Park, Jinah; Mongan, John; Gichoya, Judy W; Schnabel, Julia A; Kushibar, Kaisar; Riklund, Katrine; Mori, Kensaku; Marias, Kostas; Amugongo, Lameck M; Fromont, Lauren A; Maier-Hein, Lena; Alberich, Leonor Cerdá; Rittner, Leticia; Phiri, Lighton; Marrakchi-Kacem, Linda; Donoso-Bach, Lluís; Martí-Bonmatí, Luis; Cardoso, M Jorge; Bobowicz, Maciej; Shabani, Mahsa; Tsiknakis, Manolis; Zuluaga, Maria A; Bielikova, Maria; Fritzsche, Marie-Christine; Camacho, Marina; Linguraru, Marius George; Wenzel, Markus; De Bruijne, Marleen; Tolsgaard, Martin G; Ghassemi, Marzyeh; Ashrafuzzaman, Md; Goisauf, Melanie; Yaqub, Mohammad; Abadía, Mónica Cano; Mahmoud, Mukhtar M E; Elattar, Mustafa; Rieke, Nicola; Papanikolaou, Nikolaos; Lazrak, Noussair; Díaz, Oliver; Salvado, Olivier; Pujol, Oriol; Sall, Ousmane; Guevara, Pamela; Gordebeke, Peter; Lambin, Philippe; Brown, Pieta; Abolmaesumi, Purang; Dou, Qi; Lu, Qinghua; Osuala, Richard; Nakasi, Rose; Zhou, S Kevin; Napel, Sandy; Colantonio, Sara; Albarqouni, Shadi; Joshi, Smriti; Carter, Stacy; Klein, Stefan; Petersen, Steffen E; Aussó, Susanna; Awate, Suyash; Raviv, Tammy Riklin; Cook, Tessa; Mutsvangwa, Tinashe E M; Rogers, Wendy A; Niessen, Wiro J; Puig-Bosch, Xènia; Zeng, Yi; Mohammed, Yunusa G; Aquino, Yves Saint James; Salahuddin, Zohaib; Starmans, Martijn P A
Published in: BMJ, Issue 388, 2025, ISSN 1756-1833
Publisher: BMJ
DOI: 10.48550/ARXIV.2309.12325

Image Quality Assessment Tool for Conventional and Dynamic Magnetic Resonance Imaging Acquisitions

Author(s): Katerina Nikiforaki; Ioannis Karatzanis; Aikaterini Dovrou; Maciej Bobowicz; Katarzyna Gwozdziewicz; Oliver Díaz; Manolis Tsiknakis; Dimitrios I. Fotiadis; Karim Lekadir; Kostas Marias
Published in: Journal of Imaging, Issue 10(5), 2024, ISSN 2313-433X
Publisher: MDPI
DOI: 10.3390/JIMAGING10050115

A large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentations

Author(s): Lidia Garrucho; Kaisar Kushibar; Claire-Anne Reidel; Smriti Joshi; Richard Osuala; Apostolia Tsirikoglou; Maciej Bobowicz; Javier del Riego; Alessandro Catanese; Katarzyna Gwoździewicz; Maria-Laura Cosaka; Pasant M. Abo-Elhoda; Sara W. Tantawy; Shorouq S. Sakrana; Norhan O. Shawky-Abdelfatah; Amr Muhammad Abdo Salem; Androniki Kozana; Eugen Divjak; Gordana Ivanac; Katerina Nikiforaki; Michail E. Klontzas; Rosa García-Dosdá; Meltem Gulsun-Akpinar; Oğuz Lafcı; Ritse Mann; Carlos Martín-Isla; Fred Prior; Kostas Marias; Martijn P. A. Starmans; Fredrik Strand; Oliver Díaz; Laura Igual; Karim Lekadir
Published in: Scientific Data, Issue 12, 2025, ISSN 2052-4463
Publisher: Nature
DOI: 10.48550/ARXIV.2406.13844

Public data homogenization for AI model development in breast cancer

Author(s): Vassilis Kilintzis, Varvara Kalokyri, Haridimos Kondylakis, Smriti Joshi, Katerina Nikiforaki, Oliver Díaz, Karim Lekadir, Manolis Tsiknakis & Kostas Marias
Published in: European Radiology Experimental, Issue European Radiology Experimental volume 8, Article number: 42 (2024), 2024, ISSN 2509-9280
Publisher: Springer Open
DOI: 10.1186/s41747-024-00442-4

Public data homogenization for AI model development in breast cancer

Author(s): Vassilis Kilintzis, Varvara Kalokyri, Haridimos Kondylakis, Smriti Joshi, Katerina Nikiforaki, Oliver Díaz, Karim Lekadir, Manolis Tsiknakis, Kostas Marias
Published in: European Radiology Experimental, Issue 8, 2024, ISSN 2509-9280
Publisher: Springer Science and Business Media LLC
DOI: 10.1186/S41747-024-00442-4

Pre- to Post-Contrast Breast MRI Synthesis for Enhanced Tumour Segmentation

Author(s): Osuala, Richard; Joshi, Smriti; Tsirikoglou, Apostolia; Garrucho, Lidia; Pinaya, Walter H. L.; Diaz, Oliver; Lekadir, Karim
Published in: Journal of Medical Imaging, 2023, ISSN 2329-4302
Publisher: SPIE
DOI: 10.48550/arxiv.2311.10879

Categorising challenges and solutions towards ethical AI in breast cancer treatment: a rapid umbrella review complemented by participatory methods

Author(s): Carina Dantas; Miriam Cabrita; Luís Midão; Ana Sofia Carvalho; Elísio Costa
Published in: AI and Ethics, Issue 5, 2025, ISSN 2730-5961
Publisher: Springer
DOI: 10.1007/S43681-025-00777-7

Artificial Intelligence for breast cancer detection: Technology, challenges, and prospects

Author(s): Díaz, Oliver; Rodríguez-Ruíz, Alejandro; Sechopoulos, Ioannis
Published in: European Journal of Radiology, Issue 175, 2024, ISSN 1872-7727
Publisher: Elsevier
DOI: 10.1016/J.EJRAD.2024.111457

Simulating dynamic tumor contrast enhancement in breast MRI using conditional generative adversarial networks

Author(s): Richard Osuala, Smriti Joshi, Apostolia Tsirikoglou, Lidia Garrucho, Walter H. L. Pinaya, Daniel M. Lang, Julia A. Schnabel, Oliver Diaz, Karim Lekadir
Published in: Journal of Medical Imaging, Issue 12, 2025, ISSN 2329-4302
Publisher: SPIE-Intl Soc Optical Eng
DOI: 10.1117/1.JMI.12.S2.S22014

Methodological approaches in the economic evaluation of prognostic and predictive companion diagnostics: a systematic scoping review

Author(s): Tuukka Hakkarainen, Haavisto Ira, Leskelä Riikka-Leena
Published in: Expert Review of Pharmacoeconomics & Outcomes Research, Issue 25, 2025, ISSN 1473-7167
Publisher: Taylor & Francis
DOI: 10.1080/14737167.2025.2519744

Standardised lesion segmentation for imaging biomarker quantitation: a consensus recommendation from ESR and EORTC

Author(s): DeSouza, Nandita M; Van der Lugt, Aad; Deroose, Christophe M; Alberich-Bayarri, Angel; Bidaut, Luc; Fournier, Laure; Costaridou, Lena; Oprea-Lager, Daniela E; Kotter, Elmar; Smits, Marion; Mayerhoefer, Marius E; Boellaard, Ronald; Caroli, Anna; De Geus-Oei, Lioe-Fee; Kunz, Wolfgang G; Oei, Edwin H; Lecouvet, Frederic; Franca, Manuela; Loewe, Christian; Lopci, Egesta; Caramella, Caroline; Persson, Anders; Golay, Xavier; Dewey, Marc; O'Connor, James PB; DeGraaf, Pim; Gatidis, Sergios; Zahlmann, Gudrun; European Society of Radiology; European Organisation for Research and Treatment of Cancer
Published in: Insights into Imaging , 13 , Article 159, 2022, ISSN 1869-4101
Publisher: Springer Science and Business Media Deutschland GmbH
DOI: 10.1186/s13244-022-01287-4

Differences in technical and clinical perspectives on AI validation in cancer imaging: mind the gap!

Author(s): Ioanna Chouvarda, Sara Colantonio, Ana S. C. Verde, Ana Jimenez-Pastor, Leonor Cerdá-Alberich, Yannick Metz, Lithin Zacharias, Shereen Nabhani-Gebara, Maciej Bobowicz, Gianna Tsakou, Karim Lekadir, Manolis Tsiknakis, Luis Martí-Bonmati, Nikolaos Papanikolaou
Published in: European Radiology Experimental, Issue 9, 2025, ISSN 2509-9280
Publisher: Springer Science and Business Media LLC
DOI: 10.1186/S41747-024-00543-0

Other (1)

medigan: a Python library of pretrained generative models for medical image synthesis

Author(s): Osuala, Richard; Skorupko, Grzegorz; Lazrak, Noussair; Garrucho, Lidia; García, Eloy; Joshi, Smriti; Jouide, Socayna; Rutherford, Michael; Prior, Fred; Kushibar, Kaisar; Diaz, Oliver; Lekadir, Karim
Published in: Journal of Medical Imaging, 2023, ISSN 2329-4302
Publisher: SPIE
DOI: 10.48550/arxiv.2209.14472

Book chapters (2)

Stakeholder Engagement for Trustworthy AI: Experiences and Results from the RadioVal Project on Breast Cancer Imaging

Author(s): Miriam Cabrita, Carina Dantas, Harm op den Akker, Maciej Bobowicz, Silvia Navarro, Gloria Ribas, Dimitri Kessler, Richard Osuala, Oliver Díaz, Karim Lekadir, Smriti Joshi
Published in: Trustworthy AI in Cancer Imaging Research, 2025
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-89963-8_3

The Clinical Considerations for Trustworthy AI in Oncologic Imaging

Author(s): Maciej Bobowicz, Dow-Mu Koh, Tobias Penzkofer, Daniele Regge, Katrine Riklund, Pedro-Miguel Martinez-Girones, Jurgen Fütterer, Karim Lekadir, Gianna Tsakou, Luis Marti-Bonmati
Published in: Trustworthy AI in Cancer Imaging Research, 2025, ISBN 978-3-031-89963-8
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-89963-8_2

Conference proceedings (3)

Towards Learning Contrast Kinetics with Multi-condition Latent Diffusion Models

Author(s): Richard Osuala, Daniel M. Lang, Preeti Verma, Smriti Joshi, Apostolia Tsirikoglou, Grzegorz Skorupko, Kaisar Kushibar, Lidia Garrucho, Walter H. L. Pinaya, Oliver Diaz, Julia A. Schnabel, Karim Lekadir
Published in: Lecture Notes in Computer Science, Medical Image Computing and Computer Assisted Intervention – MICCAI 2024, 2024
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-72086-4_67

Leveraging epistemic uncertainty to improve tumour segmentation in breast MRI: an exploratory analysis

Author(s): Smriti Joshi, Richard O. Osuala, Lidia Garrucho, Apostolia Tsirikoglou, Javier D. Riego, Katarzyna Gwozdziewicz, Kaisar Kushibar, Oliver Diaz, Karim Lekadir
Published in: Medical Imaging 2024: Image Processing, 2024
Publisher: SPIE
DOI: 10.1117/12.3006783

From the clinic: A survey on trustworthy AI in breast cancer^*

Author(s): Smriti Joshi, Anais Emelie, Maciej Bobowicz, Gianna Tsakou, Stefanie Charalambous, Zohaib Salahuddin, Oliver Diaz, Karim Lekadir
Published in: 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, 2024
Publisher: IEEE
DOI: 10.1109/IEEECONF58974.2023.10405028