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

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

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
Block-chain based distributed learning and AI passport
White paper on FUTURE Guiding Principles for AI in cancer imaging
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
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

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

Auteurs: 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.
Publié dans: Scientific Data, Numéro 12, 2025, Page(s) 453, ISSN 2052-4463
Éditeur: Springer Science and Business Media LLC
DOI: 10.1038/s41597-025-04707-4

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

Impact of synthetic data on training a deep learning model for lesion detection and classification in contrast-enhanced mammography

Auteurs: Astrid Van Camp, Henry C. Woodruff, Lesley Cockmartin, Marc Lobbes, Michael Majer, Corinne Balleyguier, Nicholas W. Marshall, Hilde Bosmans, Philippe Lambin
Publié dans: Journal of Medical Imaging, Numéro 12, 2025, Page(s) S22006-S22006, ISSN 2329-4302
Éditeur: SPIE-Intl Soc Optical Eng
DOI: 10.1117/1.jmi.12.s2.s22006

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

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

Auteurs: 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
Publié dans: European Radiology Experimental, Numéro 9, 2025, ISSN 2509-9280
Éditeur: Springer Science and Business Media LLC
DOI: 10.1186/s41747-024-00543-0

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

An automated toolbox for microcalcification cluster modeling for mammographic imaging

Auteurs: Astrid Van Camp, Eva Punter, Katrien Houbrechts, Lesley Cockmartin, Renate Prevos, Nicholas W. Marshall, Henry C. Woodruff, Philippe Lambin, Hilde Bosmans
Publié dans: Medical Physics, Numéro 52, 2025, Page(s) 1335-1349, ISSN 0094-2405
Éditeur: American Association of Physicists in Medicine
DOI: 10.1002/mp.17521

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

New implementation of data standards for AI in oncology: Experience from the EuCanImage project

Auteurs: Teresa García-Lezana, Maciej Bobowicz, Santiago Frid, Michael Rutherford, Mikel Recuero, Katrine Riklund, Aldar Cabrelles, Marlena Rygusik, Lauren Fromont, Roberto Francischello, Emanuele Neri, Salvador Capella, Arcadi Navarro, Fred Prior, Jonathan Bona, Pilar Nicolas, Martijn P A Starmans, Karim Lekadir, Jordi Rambla
Publié dans: GigaScience, Numéro 14, 2025, ISSN 2047-217X
Éditeur: Oxford University Press (OUP)
DOI: 10.1093/gigascience/giae101

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

An Interpretable Radiomics Model Based on Two-Dimensional Shear Wave Elastography for Predicting Symptomatic Post-Hepatectomy Liver Failure in Patients with Hepatocellular Carcinoma

Auteurs: Xian Zhong, Zohaib Salahuddin, Yi Chen, Henry C. Woodruff, Haiyi Long, Jianyun Peng, Xiaoyan Xie, Manxia Lin, Philippe Lambin
Publié dans: Cancers, Numéro 15, 2025, Page(s) 5303, ISSN 2072-6694
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers15215303

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

El uso secundario de datos de salud electrónicos

Auteurs: Mikel Recuero
Publié dans: InDret, Numéro 2(24), 2024, Page(s) 525-551, ISSN 1698-739X
Éditeur: Universitat Pompeu Fabra
DOI: 10.31009/indret.2024.i2.13

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

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

Auteurs: Oliver Díaz, Alejandro Rodríguez-Ruíz, Ioannis Sechopoulos
Publié dans: European Journal of Radiology, Numéro 175, 2024, Page(s) 111457, ISSN 0720-048X
Éditeur: Elsevier BV
DOI: 10.1016/j.ejrad.2024.111457

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

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

Auteurs: 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
Publié dans: Medical Physics, Numéro 52, 2025, Page(s) 1798-1809, ISSN 0094-2405
Éditeur: American Association of Physicists in Medicine
DOI: 10.1002/mp.17527

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

Deep Learning of Multimodal Ultrasound: Stratifying the Response to Neoadjuvant Chemotherapy in Breast Cancer Before Treatment

Auteurs: Jionghui Gu, Xian Zhong, Chengyu Fang, Wenjing Lou, Peifen Fu, Henry C Woodruff, Baohua Wang, Tianan Jiang, Philippe Lambin
Publié dans: The Oncologist, Numéro 29, 2024, Page(s) e187-e197, ISSN 1083-7159
Éditeur: AlphaMed Press Inc
DOI: 10.1093/oncolo/oyad227

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

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

Auteurs: Lekadir et al.
Publié dans: BMJ, Numéro 388, 2025, Page(s) r340, ISSN 1756-1833
Éditeur: BMJ
DOI: 10.1136/bmj.r340

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

Documenting the de-identification process of clinical and imaging data for AI for health imaging projects

Auteurs: Haridimos Kondylakis, Rocio Catalan, Sara Martinez Alabart, Caroline Barelle, Paschalis Bizopoulos, Maciej Bobowicz, Jonathan Bona, Dimitrios I. Fotiadis, Teresa Garcia, Ignacio Gomez, Ana Jimenez-Pastor, Giannis Karatzanis, Karim Lekadir, Magdalena Kogut-Czarkowska, Antonios Lalas, Kostas Marias, Luis Marti-Bonmati, Jose Munuera, Katerina Nikiforaki, Manon Pelissier, Fred Prior, Michael Rutherfor
Publié dans: Insights into Imaging, Numéro 15, 2024, Page(s) 130, ISSN 1869-4101
Éditeur: Springer Science and Business Media Deutschland GmbH
DOI: 10.1186/s13244-024-01711-x

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

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: 16th International Workshop on Breast Imaging (IWBI2022), Numéro 12286, 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

Mitigating annotation shift in cancer classification using single-image generative models

Auteurs: Marta Buetas Arcas, Richard Osuala, Karim Lekadir, Oliver Díaz
Publié dans: 17th International Workshop on Breast Imaging (IWBI 2024), Numéro 13174, 2024, Page(s) 28
Éditeur: SPIE
DOI: 10.1117/12.3025548

A study on the role of radiomics feature stability in predicting breast cancer subtypes

Auteurs: Isabella Cama, Alejandro Guzman, Sara Garbarino, Cristina Campi, Karim Lekadir, Oliver Diaz
Publié dans: 17th International Workshop on Breast Imaging (IWBI 2024), 2024, Page(s) 75
Éditeur: SPIE
DOI: 10.1117/12.3027015

Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic Data

Auteurs: Richard Osuala, Daniel M. Lang, Anneliese Riess, Georgios Kaissis, Zuzanna Szafranowska, Grzegorz Skorupko, Oliver Diaz, Julia A. Schnabel, Karim Lekadir
Publié dans: MICCAI workshop 2024, Numéro Lecture Notes in Computer Science 15451, 2025, ISBN 978-3-031-77789-9
Éditeur: Springer, Cham

Pre- to post-contrast breast MRI synthesis for enhanced tumour segmentation

Auteurs: Richard O. Osuala, Smriti Joshi, Apostolia Tsirikoglou, Lidia Garrucho Moras, Walter H. Lopez Pinaya, Oliver Diaz, Karim Lekadir
Publié dans: Medical Imaging 2024: Image Processing, Numéro 12926, 2024, Page(s) 31
Éditeur: SPIE
DOI: 10.1117/12.3006961

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

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

Auteurs: Smriti Joshi, Richard O. Osuala, Lidia Garrucho, Apostolia Tsirikoglou, Javier D. Riego, Katarzyna Gwozdziewicz, Kaisar Kushibar, Oliver Diaz, Karim Lekadir
Publié dans: Medical Imaging 2024: Image Processing, Numéro 12926, 2024, Page(s) 39
Éditeur: SPIE
DOI: 10.1117/12.3006783

Towards Learning Contrast Kinetics with Multi-condition Latent Diffusion Models

Auteurs: 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
Publié dans: Lecture Notes in Computer Science, Medical Image Computing and Computer Assisted Intervention – MICCAI 2024, 2024, Page(s) 713-723, ISBN 978-3-031-72086-4
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-72086-4_67

Papers Published from EuCanImage International Project

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

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