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

Informacje na temat projektu

RadioVal

Identyfikator umowy o grant: 101057699

DOI

10.3030/101057699

Data podpisania przez KE 19 Maja 2022

Data rozpoczęcia 1 Września 2022

Data zakończenia 31 Sierpnia 2026

Finansowanie w ramach

• Health

Koszt całkowity

€ 5 838 576,00

Wkład UE

€ 5 838 576,00

Koordynowany przez

UNIVERSITAT DE BARCELONA
Spain

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

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.

Publikacje

Peer reviewed articles (13)

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

Autorzy: 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
Opublikowane w: Medical Physics, Numer 52, 2025, ISSN 0094-2405
Wydawca: Wiley
DOI: 10.1002/MP.17527

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

Autorzy: 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
Opublikowane w: BMJ, Numer 388, 2025, ISSN 1756-1833
Wydawca: BMJ
DOI: 10.48550/ARXIV.2309.12325

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

Autorzy: Katerina Nikiforaki; Ioannis Karatzanis; Aikaterini Dovrou; Maciej Bobowicz; Katarzyna Gwozdziewicz; Oliver Díaz; Manolis Tsiknakis; Dimitrios I. Fotiadis; Karim Lekadir; Kostas Marias
Opublikowane w: Journal of Imaging, Numer 10(5), 2024, ISSN 2313-433X
Wydawca: MDPI
DOI: 10.3390/JIMAGING10050115

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

Autorzy: 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
Opublikowane w: Scientific Data, Numer 12, 2025, ISSN 2052-4463
Wydawca: Nature
DOI: 10.48550/ARXIV.2406.13844

Public data homogenization for AI model development in breast cancer

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

Public data homogenization for AI model development in breast cancer

Autorzy: Vassilis Kilintzis, Varvara Kalokyri, Haridimos Kondylakis, Smriti Joshi, Katerina Nikiforaki, Oliver Díaz, Karim Lekadir, Manolis Tsiknakis, Kostas Marias
Opublikowane w: European Radiology Experimental, Numer 8, 2024, ISSN 2509-9280
Wydawca: Springer Science and Business Media LLC
DOI: 10.1186/S41747-024-00442-4

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

Autorzy: Osuala, Richard; Joshi, Smriti; Tsirikoglou, Apostolia; Garrucho, Lidia; Pinaya, Walter H. L.; Diaz, Oliver; Lekadir, Karim
Opublikowane w: Journal of Medical Imaging, 2023, ISSN 2329-4302
Wydawca: 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

Autorzy: Carina Dantas; Miriam Cabrita; Luís Midão; Ana Sofia Carvalho; Elísio Costa
Opublikowane w: AI and Ethics, Numer 5, 2025, ISSN 2730-5961
Wydawca: Springer
DOI: 10.1007/S43681-025-00777-7

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

Autorzy: Díaz, Oliver; Rodríguez-Ruíz, Alejandro; Sechopoulos, Ioannis
Opublikowane w: European Journal of Radiology, Numer 175, 2024, ISSN 1872-7727
Wydawca: Elsevier
DOI: 10.1016/J.EJRAD.2024.111457

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

Autorzy: Richard Osuala, Smriti Joshi, Apostolia Tsirikoglou, Lidia Garrucho, Walter H. L. Pinaya, Daniel M. Lang, Julia A. Schnabel, Oliver Diaz, Karim Lekadir
Opublikowane w: Journal of Medical Imaging, Numer 12, 2025, ISSN 2329-4302
Wydawca: 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

Autorzy: Tuukka Hakkarainen, Haavisto Ira, Leskelä Riikka-Leena
Opublikowane w: Expert Review of Pharmacoeconomics & Outcomes Research, Numer 25, 2025, ISSN 1473-7167
Wydawca: Taylor & Francis
DOI: 10.1080/14737167.2025.2519744

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

Autorzy: 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
Opublikowane w: Insights into Imaging , 13 , Article 159, 2022, ISSN 1869-4101
Wydawca: 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!

Autorzy: 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
Opublikowane w: European Radiology Experimental, Numer 9, 2025, ISSN 2509-9280
Wydawca: 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

Autorzy: Osuala, Richard; Skorupko, Grzegorz; Lazrak, Noussair; Garrucho, Lidia; García, Eloy; Joshi, Smriti; Jouide, Socayna; Rutherford, Michael; Prior, Fred; Kushibar, Kaisar; Diaz, Oliver; Lekadir, Karim
Opublikowane w: Journal of Medical Imaging, 2023, ISSN 2329-4302
Wydawca: 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

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

The Clinical Considerations for Trustworthy AI in Oncologic Imaging

Autorzy: Maciej Bobowicz, Dow-Mu Koh, Tobias Penzkofer, Daniele Regge, Katrine Riklund, Pedro-Miguel Martinez-Girones, Jurgen Fütterer, Karim Lekadir, Gianna Tsakou, Luis Marti-Bonmati
Opublikowane w: Trustworthy AI in Cancer Imaging Research, 2025, ISBN 978-3-031-89963-8
Wydawca: 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

Autorzy: 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
Opublikowane w: Lecture Notes in Computer Science, Medical Image Computing and Computer Assisted Intervention – MICCAI 2024, 2024
Wydawca: 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

Autorzy: Smriti Joshi, Richard O. Osuala, Lidia Garrucho, Apostolia Tsirikoglou, Javier D. Riego, Katarzyna Gwozdziewicz, Kaisar Kushibar, Oliver Diaz, Karim Lekadir
Opublikowane w: Medical Imaging 2024: Image Processing, 2024
Wydawca: SPIE
DOI: 10.1117/12.3006783

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

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