A European Cancer Image Platform Linked to Biological and Health Data for Next-Generation Artificial Intelligence and Precision Medicine in Oncology

Livrables

Quality control of image and non-image cancer data

Quality control of image and nonimage cancer data

Glossary on common definitions across EU privacy and data security laws
Visual identity, project website and EuCanImage video
Guidelines of ethics and social implications of AI in oncologic imaging
Toolbox for interpretable AI in cancer imaging
Cancer radiomics extraction and selection pipeline
Clinical requirements for the EuCanImage platform and AI in cancer imaging
Adapted In-silico platform for EuCanImage

Adapted Insilico platform for EuCanImage

Methods to assess errors and procedures to address uncertainty
Block-chain based distributed learning and AI passport

Blockchain based distributed learning and AI passport

Consensus document on methods to assess clinical effectiveness
Quality assurance guidelines
Synthetic image generator
Virtual environment for building flexible AI solutions
Legal and ethical interoperability study/retrospective analysis

Legal and ethical interoperability studyretrospective analysis

Updated plan for Dissemination & Communication and material

Updated plan for Dissemination Communication and material

Integrative machine learning toolbox
Report on stakeholder awareness assessment
Standardisation of cancer image data and features
Consensus document with assessment metrics, criteria and procedures

Consensus document with assessment metrics criteria and procedures

Tool for cost-effectiveness assessment of AI solutions
GDPR compliant anonymisation POSDA Suite
Cloud-based collaborative data annotation tool

Cloudbased collaborative data annotation tool

Data access sub-portal

Data access subportal

Data repository and model for non-imaging data

Data repository and model for nonimaging data

Data repository for cancer imaging
Integrated EuCanImage web-portal

Integrated EuCanImage webportal

Catalogue populated with EuCanImage metadata

Publications

Modeling-Based Decision Support System for Radical Prostatectomy Versus External Beam Radiotherapy for Prostate Cancer Incorporating an In Silico Clinical Trial and a Cost-Utility Study.

Auteurs: Yvonka van Wijk; Bram Ramaekers; Ben G. L. Vanneste; Iva Halilaj; Cary Oberije; Avishek Chatterjee; Tom Marcelissen; Arthur Jochems; Henry C. Woodruff; Philippe Lambin
Publié dans: Cancers, Numéro 1, 2021, ISSN 2072-6694
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers13112687

FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging

Auteurs: Lekadir, Karim; Osuala, Richard; Gallin, Catherine; Lazrak, Noussair; Kushibar, Kaisar; Tsakou, Gianna; Aussó, Susanna; Alberich, Leonor Cerdá; Marias, Kostas; Tsiknakis, Manolis; Colantonio, Sara; Papanikolaou, Nickolas; Salahuddin, Zohaib; Woodruff, Henry C; Lambin, Philippe; Martí-Bonmatí, Luis
Publié dans: Advances in Computer Vision and Pattern Recognition, Numéro 1, 2021, ISSN 2191-6586
Éditeur: Springer Science + Business Media
DOI: 10.48550/arxiv.2109.09658

High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection

Auteurs: Lidia Garrucho; Kaisar Kushibar; Richard Osuala; Oliver Diaz; Alessandro Catanese; Javier del Riego; Maciej Bobowicz; Fredrik Strand; Laura Igual; Karim Lekadir
Publié dans: Frontiers in Oncology, 2023, ISSN 2234-943X
Éditeur: Frontiers Media S. A.
DOI: 10.3389/fonc.2022.1044496

Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools

Auteurs: Oliver Diaz, Kaisar Kushibar, Richard Osuala, Akis Linardos, Lidia Garrucho, Laura Igual, Petia Radeva, Fred Prior, Polyxeni Gkontra, Karim Lekadir
Publié dans: Physica Medica, 2021, ISSN 1120-1797
Éditeur: Istituti Editoriali e Poligrafici Internazionali
DOI: 10.1016/j.ejmp.2021.02.007

A deep look into radiomics

Auteurs: Camilla Scapicchio, Michela Gabelloni, Andrea Barucci, Dania Cioni, Luca Saba, Emanuele Neri
Publié dans: Radiologia Medica, 2021, ISSN 0033-8362
Éditeur: Edizioni Minerva Medica
DOI: 10.1007/s11547-021-01389-x

Federated learning for multi‑center imaging diagnostics: a simulation study in cardiovascular disease

Auteurs: Akis Linardos, Kaisar Kushibar, SeanWalsh, PolyxeniGkontra & Karim Lekadir
Publié dans: Scientifc Reports, 2022, ISSN 2045-2322
Éditeur: Nature Publishing Group
DOI: 10.1038/s41598-022-07186-4

A Review of Generative Adversarial Networks in Cancer Imaging: New Applications, New Solutions

Auteurs: Richard Osuala, Kaisar Kushibar, Lidia Garrucho, Akis Linardos, Zuzanna Szafranowska, Stefan Klein, Ben Glocker, Oliver Diaz, Karim Lekadir
Publié dans: Medical Image Analysis, 2021, ISSN 1361-8415
Éditeur: Elsevier BV
DOI: 10.48550/arxiv.2107.09543

Attention-Based Deep Learning System for Classification of Breast Lesions—Multimodal, Weakly Supervised Approach

Auteurs: Maciej Bobowicz; Marlena Rygusik; Jakub Buler; Rafał Buler; Maria Ferlin; Arkadiusz Kwasigroch; Edyta Szurowska; Michał Grochowski
Publié dans: Cancers, 2023, ISSN 2072-6694
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers15102704

Combined molecular subtyping, grading, and segmentation of glioma using multi-task deep learning

Auteurs: Sebastian R van der Voort, Fatih Incekara, Maarten M J Wijnenga, Georgios Kapsas, Renske Gahrmann, Joost W Schouten, Rishi Nandoe Tewarie, Geert J Lycklama, Philip C De Witt Hamer, Roelant S Eijgelaar, Pim J French, Hendrikus J Dubbink, Arnaud J P E Vincent, Wiro J Niessen, Martin J van den Bent, Marion Smits, Stefan Klein
Publié dans: Neuro-Oncology, 2023, ISSN 1522-8517
Éditeur: Duke University Press
DOI: 10.1093/neuonc/noac166

Diagnosis of Idiopathic Pulmonary Fibrosis in High-Resolution Computed Tomography Scans Using a Combination of Handcrafted Radiomics and Deep Learning

Auteurs: Turkey Refaee, Zohaib Salahuddin, Anne-Noelle Frix, Chenggong Yan, Guangyao Wu, Henry C. Woodruff, Hester Gietema, Paul Meunier, Renaud Louis, Julien Guiot, Philippe Lambin
Publié dans: Frontiers in Medicine, 2022, ISSN 2296-858X
Éditeur: Frontiers Media S.A.
DOI: 10.3389/fmed.2022.915243

Bridging gaps between images and data: a systematic update on imaging biobanks

Auteurs: Michela Gabelloni, Lorenzo Faggioni, Rita Borgheresi, Giuliana Restante, Jorge Shortrede, Lorenzo Tumminello, Camilla Scapicchio, Francesca Coppola, Dania Cioni, Ignacio Gómez-Rico, Luis Martí-Bonmatí & Emanuele Neri
Publié dans: European Radiology, 2022, ISSN 0938-7994
Éditeur: Springer Verlag
DOI: 10.1007/s00330-021-08431-6

Position of the AI for Health Imaging (AI4HI) network on metadata models for imaging biobanks

Auteurs: Kondylakis, Haridimos; Ciarrocchi, Esther; Cerda-Alberich, Leonor; Chouvarda, Ioanna; Fromont, Lauren A.; Garcia-Aznar, Jose Manuel; Kalokyri, Varvara; Kosvyra, Alexandra; Walker, Dawn; Yang, Guang; Neri, Emanuele; The AI4HealthImaging Working Group on metadata models
Publié dans: European Radiology Experimental, 2022, ISSN 2509-9280
Éditeur: SpringerOpen
DOI: 10.1186/s41747-022-00281-1

Ethics of AI in Radiology: A Review of Ethical and Societal Implications

Auteurs: Melanie Goisauf and Mónica Cano Abadía
Publié dans: Frontiers in Big Data, 2022, ISSN 2624-909X
Éditeur: Frontiers Media S.A.
DOI: 10.3389/fdata.2022.850383

Making Radiomics More Reproducible across Scanner and Imaging Protocol Variations: A Review of Harmonization Methods

Auteurs: Shruti Atul Mali; Abdalla Ibrahim; Henry C. Woodruff; Vincent Andrearczyk; Henning Müller; Sergey Primakov; Zohaib Salahuddin; Avishek Chatterjee; Philippe Lambin
Publié dans: Journal of Personalized Medicine, Numéro 1, 2021, ISSN 2075-4426
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/jpm11090842

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

Auteurs: Richard Osuala, Grzegorz Skorupko, Noussair Lazrak, Lidia Garrucho Eloy García, Smriti Joshi, Socayna Jouide, Michael Rutherford, Fred Prior, Kaisar Kushibar, Oliver Díaz, Karim Lekadir
Publié dans: Journal of Medical Imaging, 2023, ISSN 2329-4310
Éditeur: SPIE
DOI: 10.1117/1.jmi.10.6.061403

Development of a clinical decision support system for severity risk prediction and triage of COVID-19 patients at hospital admission: an international multicentre study

Auteurs: Guangyao Wu, Pei Yang, Yuanliang Xie, Henry C. Woodruff, Xiangang Rao, Julien Guiot, Anne-Noelle Frix, Renaud Louis, Michel Moutschen, Jiawei Li, Jing Li, Chenggong Yan, Dan Du, Shengchao Zhao, Yi Ding, Bin Liu, Wenwu Sun, Fabrizio Albarello, Alessandra D'Abramo, Vincenzo Schininà, Emanuele Nicastri, Mariaelena Occhipinti, Giovanni Barisione, Emanuela Barisione, Iva Halilaj, Pierre Lovinfosse, Xi
Publié dans: European Respiratory Journal, Numéro 56, 2020, ISSN 0903-1936
Éditeur: European Respiratory Society
DOI: 10.1183/13993003.01104-2020

The application of a workflow integrating the variable reproducibility and harmonizability of radiomic features on a phantom dataset

Auteurs: Abdalla Ibrahim ,Turkey Refaee,Ralph T. H. Leijenaar,Sergey Primakov,Roland Hustinx,Felix M. Mottaghy,Henry C. Woodruff,Andrew D. A. Maidment ,Philippe Lambin
Publié dans: PLoS ONE, 2021, ISSN 1932-6203
Éditeur: Public Library of Science
DOI: 10.1371/journal.pone.0251147

Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging

Auteurs: Richard Osuala, Kaisar Kushibar, Lidia Garrucho, Akis Linardos, Zuzanna Szafranowska, Stefan Klein, Ben Glocker, Oliver Diaz, Karim Lekadir
Publié dans: Medical Image Analysis, 2023, ISSN 1361-8415
Éditeur: Elsevier BV
DOI: 10.1016/j.media.2022.102704

From Head and Neck Tumour and Lymph Node Segmentation to Survival Prediction on PET/CT: An End-to-End Framework Featuring Uncertainty, Fairness, and Multi-Region Multi-Modal Radiomics

Auteurs: Zohaib Salahuddin, Yi Chen, Xian Zhong, Henry C. Woodruff, Nastaran Mohammadian, Shruti Atul Mali and Philippe Lambin
Publié dans: Cancers, 2023, ISSN 2072-6694
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers15071932

Domain generalization in deep learning based mass detection in mammography: A large-scale multi-center study

Auteurs: Lidia Garrucho, Kaisar Kushibar, Socayna Jouide, Oliver Diaz, Laura Igual, Karim Lekadir
Publié dans: Artificial Intelligence in Medicine, 2022, ISSN 0933-3657
Éditeur: Elsevier BV
DOI: 10.1016/j.artmed.2022.102386

Reproducible radiomics through automated machine learning validated on twelve clinical applications

Auteurs: M. P. A. Starmans, S. R. van der Voort, T. Phil, M. J. M. Timbergen, M. Vos, G. A. Padmos, W. Kessels, D. Hanff, D. J. Grünhagen, C. Verhoef, S. Sleijfer, M. J. van den Bent, M. Smits, R. S. Dwarkasing, C. J. Els, F. Fiduzi, G. J. L. H. van Leenders, A. Blazevic, J. Hofland, T. Brabander, R. van Gils, G. J. H. Franssen, R. A. Feelders, W. W. de Herder, F. E. Buisman, F. E. J. A. Willemssen, B. Gr
Publié dans: Medical Image Analysis, 2021, ISSN 1361-8415
Éditeur: Elsevier BV
DOI: 10.48550/arxiv.2108.08618

Prognostic and Predictive Value of Integrated Qualitative and Quantitative Magnetic Resonance Imaging Analysis in Glioblastoma.

Auteurs: Maikel Verduin; Sergey Primakov; Inge Compter; Henry C. Woodruff; Sander M. J. van Kuijk; Bram Ramaekers; Maarten te Dorsthorst; Elles G. M. Revenich; Mark ter Laan; Sjoert A. H. Pegge; Frederick J. A. Meijer; Jan Beckervordersandforth; Ernst-Jan M. Speel; Benno Küsters; Wendy W.J. de Leng; Monique M. Anten; Martijn P. G. Broen; Linda Ackermans; Olaf E. M. G. Schijns; Onno P.M. Teernstra; Koos Ho
Publié dans: Cancers, Numéro 1, 2021, ISSN 2072-6694
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers13040722

Differential Diagnosis and Molecular Stratification of Gastrointestinal Stromal Tumors on CT Images Using a Radiomics Approach

Auteurs: M. P. A. Starmans, M. J. M. Timbergen, M. Vos, M. Renckens, D. J. Grünhagen, G. J. L. H. van Leenders, R. S. Dwarkasing, F. E. J. A. Willemssen, W. J. Niessen, C. Verhoef, S. Sleijfer, J. J. Visser, and S. Klein
Publié dans: Journal of Digital Imaging, 2022, ISSN 0897-1889
Éditeur: Springer Verlag
DOI: 10.1007/s10278-022-00590-2

UR-CarA-Net: A Cascaded Framework With Uncertainty Regularization for Automated Segmentation of Carotid Arteries on Black Blood MR Images

Auteurs: E. Lavrova, Z. Salahuddin, H.C. Woodruff, M. Kassem, R. Camarasa, A.G.D. Van Kolk, P.J. Nederkoorn, D. Bos, J. Hendrikse, M.E. Kooi, P. Lambin
Publié dans: IEEE Access, 2023, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2023.3258408

Evaluation of OMOP CDM, i2b2 and ICGC ARGO for supporting data harmonization in a breast cancer use case of a multicentric European AI project

Auteurs: Santiago Frid, Guillem Bracons Cucó, Jessyca Gil Rojas, Antonio López-Rueda, Xavier Pastor Duran, Olga Martínez-Sáez, Raimundo Lozano-Rubí
Publié dans: Journal of Biomedical Informatics, 2023, ISSN 1532-0464
Éditeur: Academic Press
DOI: 10.1016/j.jbi.2023.104505

Considerations for artifcial intelligence clinical impact in oncologic imaging: an AI4HI position paper

Auteurs: Luis Marti‑Bonmati, Dow‑Mu Koh, Katrine Riklund, Maciej Bobowicz, Yiannis Roussakis, Joan C. Vilanova, Jurgen J. Fütterer, Jordi Rimola, Pedro Mallol, Gloria Ribas, Ana Miguel, Manolis Tsiknakis, Karim Lekadir and Gianna Tsakou
Publié dans: Insights into Imaging, 2022, ISSN 1869-4101
Éditeur: Springer Science and Business Media Deutschland GmbH
DOI: 10.1186/s13244-022-01220-9

Automated detection and segmentation of non-small cell lung cancer computed tomography images

Auteurs: Sergey P. Primakov, Abdalla Ibrahim, Janita E. van Timmeren, Guangyao Wu, Simon A. Keek, Manon Beuque, Renée W. Y. Granzier, Elizaveta Lavrova, Madeleine Scrivener, Sebastian Sanduleanu, Esma Kayan, Iva Halilaj, Anouk Lenaers, Jianlin Wu, René Monshouwer, Xavier Geets, Hester A. Gietema, Lizza E. L. Hendriks, Olivier Morin, Arthur Jochems, Henry C. Woodruff & Philippe Lambin
Publié dans: Nature Communications, 2022, ISSN 2041-1723
Éditeur: Nature Publishing Group
DOI: 10.1038/s41467-022-30841-3

Data infrastructures for AI in medical imaging: a report on the experiences of five EU projects

Auteurs: Haridimos Kondylakis, Varvara Kalokyri, Stelios Sfakianakis, Kostas Marias, Manolis Tsiknakis, Ana Jimenez-Pastor, Eduardo Camacho-Ramos, Ignacio Blanquer, J. Damian Segrelles, Sergio López-Huguet, Caroline Barelle, Magdalena Kogut-Czarkowska, Gianna Tsakou, Nikolaos Siopis, Zisis Sakellariou, Paschalis Bizopoulos, Vicky Drossou, Antonios Lalas, Konstantinos Votis, Pedro Mallol, Luis Marti-Bonmat
Publié dans: European Radiology Experimental, 2023, ISSN 2509-9280
Éditeur: SpringerOpen
DOI: 10.1186/s41747-023-00336-x

MSCDA: Multi-level semantic-guided contrast improves unsuperviseddomain adaptation for breast MRI segmentation in small datasets

Auteurs: Sheng Kuang, Henry C. Woodruff, Renee Granzier, Thiemo J.A. van Nijnatten, Marc B.I. Lobbes, Marjolein L. Smidt, Philippe Lambin, Siamak Mehrkanoon
Publié dans: Neural Networks, 2023, ISSN 0893-6080
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.neunet.2023.05.014

Exploratory Radiomic Analysis of Conventional vs. Quantitative Brain MRI: Toward Automatic Diagnosis of Early Multiple Sclerosis.

Auteurs: Elizaveta Lavrova; Elizaveta Lavrova; Emilie Lommers; Henry C. Woodruff; Henry C. Woodruff; Avishek Chatterjee; Pierre Maquet; Eric Salmon; Philippe Lambin; Philippe Lambin; Christophe Phillips
Publié dans: Frontiers in Neuroscience, Numéro 1, 2021, ISSN 1662-453X
Éditeur: Frontiers Media S.A.
DOI: 10.3389/fnins.2021.679941

Optimization of preoperative lymph node staging in patients with muscle-invasive bladder cancer using radiomics on computed tomography

Auteurs: Martijn P. A. Starmans , Li Shen Ho, Fokko Smits, Nick Beije, Inge de Kruijff, Joep J. de Jong, Diederik M. Somford, Egbert R. Boevé, Ed te Slaa, Evelyne C. C. Cauberg, Sjoerd Klaver, Antoine G. van der Heijden, Carl J. Wijburg, Addy C. M. van de Luijtgaarden, Harm H. E. van Melic, Ella Cauffman, Peter de Vries, Rens Jacobs, Wiro J. Niessen, Jacob J. Visser, Stefan Klein, Joost L. Boormans and As
Publié dans: Journal of Personalized Medicine, 2022, ISSN 2075-4426
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/jpm12050726

A review in radiomics: Making personalized medicine a reality via routine imaging

Auteurs: Julien Guiot, Akshayaa Vaidyanathan, Louis Deprez, Fadila Zerka, Denis Danthine, Anne-Noelle Frix, Philippe Lambin, Fabio Bottari, Nathan Tsoutzidis, Benjamin Miraglio, Sean Walsh, Wim Vos, Roland Hustinx, Marta Ferreira, Pierre Lovinfosse, Ralph T.H. Leijenaar
Publié dans: Medicinal Research Reviews, Numéro 1, 2021, ISSN 0198-6325
Éditeur: John Wiley & Sons Inc.
DOI: 10.1002/med.21846

Announcing the large-scale international EuCanImage Project

Auteurs: N/A, Partners EACR
Publié dans: 2020
Éditeur: European Association for Cancer Research

Papers Published from EuCanImage International Project

Auteurs: N/A Partner EACR
Publié dans: 2021
Éditeur: European Association for Cancer Research

Sharing generative models instead of private data: a simulation study on mammography patch classification

Auteurs: Zuzanna Szafranowska, Richard Osuala, Bennet Breier, Kaisar Kushibar, Karim Lekadir, Oliver Diaz
Publié dans: 2022
Éditeur: Proc. SPIE 12286
DOI: 10.1117/12.2625781

Revisiting Skin Tone Fairness in Dermatological Lesion Classification

Auteurs: Thorsten Kalb, Kaisar Kushibar, Celia Cintas, Karim Lekadir, Oliver Diaz, Richard Osuala
Publié dans: 2023
Éditeur: arXiv
DOI: 10.48550/arxiv.2308.09640

Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation

Auteurs: Kaisar Kushibar, Victor Campello, Lidia Garrucho, Akis Linardos, Petia Radeva & Karim Lekadir
Publié dans: Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, Numéro 2022, Volume 13438, 2022, ISBN 978-3-031-16451-4
Éditeur: Springer

nn-UNet Training on CycleGAN-Translated Images for Cross-modal Domain Adaptation in Biomedical Imaging

Auteurs: Smriti Joshi, Richard Osuala, Carlos Martín-Isla, Victor M. Campello, Carla Sendra-Balcells, Karim Lekadir & Sergio Escalera
Publié dans: 2022
Éditeur: SpringerLink

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