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

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

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

Pubblicazioni

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.

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

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

Autori: 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.
Pubblicato in: Scientific Data, Numero 12, 2025, Pagina/e 453, ISSN 2052-4463
Editore: 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

Autori: 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
Pubblicato in: Advances in Computer Vision and Pattern Recognition, Numero 1, 2021, ISSN 2191-6586
Editore: 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

Autori: Astrid Van Camp, Henry C. Woodruff, Lesley Cockmartin, Marc Lobbes, Michael Majer, Corinne Balleyguier, Nicholas W. Marshall, Hilde Bosmans, Philippe Lambin
Pubblicato in: Journal of Medical Imaging, Numero 12, 2025, Pagina/e S22006-S22006, ISSN 2329-4302
Editore: 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

Autori: Lidia Garrucho; Kaisar Kushibar; Richard Osuala; Oliver Diaz; Alessandro Catanese; Javier del Riego; Maciej Bobowicz; Fredrik Strand; Laura Igual; Karim Lekadir
Pubblicato in: Frontiers in Oncology, 2023, ISSN 2234-943X
Editore: 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!

Autori: 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
Pubblicato in: European Radiology Experimental, Numero 9, 2025, ISSN 2509-9280
Editore: 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

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

An automated toolbox for microcalcification cluster modeling for mammographic imaging

Autori: Astrid Van Camp, Eva Punter, Katrien Houbrechts, Lesley Cockmartin, Renate Prevos, Nicholas W. Marshall, Henry C. Woodruff, Philippe Lambin, Hilde Bosmans
Pubblicato in: Medical Physics, Numero 52, 2025, Pagina/e 1335-1349, ISSN 0094-2405
Editore: American Association of Physicists in Medicine
DOI: 10.1002/mp.17521

A deep look into radiomics

Autori: Camilla Scapicchio, Michela Gabelloni, Andrea Barucci, Dania Cioni, Luca Saba, Emanuele Neri
Pubblicato in: Radiologia Medica, 2021, ISSN 0033-8362
Editore: Edizioni Minerva Medica
DOI: 10.1007/s11547-021-01389-x

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

Autori: Akis Linardos, Kaisar Kushibar, SeanWalsh, PolyxeniGkontra & Karim Lekadir
Pubblicato in: Scientifc Reports, 2022, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-022-07186-4

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

Autori: 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
Pubblicato in: GigaScience, Numero 14, 2025, ISSN 2047-217X
Editore: Oxford University Press (OUP)
DOI: 10.1093/gigascience/giae101

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

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

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

Autori: Maciej Bobowicz; Marlena Rygusik; Jakub Buler; Rafał Buler; Maria Ferlin; Arkadiusz Kwasigroch; Edyta Szurowska; Michał Grochowski
Pubblicato in: Cancers, 2023, ISSN 2072-6694
Editore: 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

Autori: Xian Zhong, Zohaib Salahuddin, Yi Chen, Henry C. Woodruff, Haiyi Long, Jianyun Peng, Xiaoyan Xie, Manxia Lin, Philippe Lambin
Pubblicato in: Cancers, Numero 15, 2025, Pagina/e 5303, ISSN 2072-6694
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers15215303

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

Autori: 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
Pubblicato in: Neuro-Oncology, 2023, ISSN 1522-8517
Editore: 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

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

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

Autori: 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
Pubblicato in: European Radiology, 2022, ISSN 0938-7994
Editore: Springer Verlag
DOI: 10.1007/s00330-021-08431-6

El uso secundario de datos de salud electrónicos

Autori: Mikel Recuero
Pubblicato in: InDret, Numero 2(24), 2024, Pagina/e 525-551, ISSN 1698-739X
Editore: 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

Autori: 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
Pubblicato in: European Radiology Experimental, 2022, ISSN 2509-9280
Editore: SpringerOpen
DOI: 10.1186/s41747-022-00281-1

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

Autori: Melanie Goisauf and Mónica Cano Abadía
Pubblicato in: Frontiers in Big Data, 2022, ISSN 2624-909X
Editore: Frontiers Media S.A.
DOI: 10.3389/fdata.2022.850383

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

Autori: Oliver Díaz, Alejandro Rodríguez-Ruíz, Ioannis Sechopoulos
Pubblicato in: European Journal of Radiology, Numero 175, 2024, Pagina/e 111457, ISSN 0720-048X
Editore: Elsevier BV
DOI: 10.1016/j.ejrad.2024.111457

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

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

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

Autori: Richard Osuala, Grzegorz Skorupko, Noussair Lazrak, Lidia Garrucho Eloy García, Smriti Joshi, Socayna Jouide, Michael Rutherford, Fred Prior, Kaisar Kushibar, Oliver Díaz, Karim Lekadir
Pubblicato in: Journal of Medical Imaging, 2023, ISSN 2329-4310
Editore: 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

Autori: 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
Pubblicato in: European Respiratory Journal, Numero 56, 2020, ISSN 0903-1936
Editore: 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

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

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

Autori: 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
Pubblicato in: Medical Physics, Numero 52, 2025, Pagina/e 1798-1809, ISSN 0094-2405
Editore: American Association of Physicists in Medicine
DOI: 10.1002/mp.17527

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

Autori: Richard Osuala, Kaisar Kushibar, Lidia Garrucho, Akis Linardos, Zuzanna Szafranowska, Stefan Klein, Ben Glocker, Oliver Diaz, Karim Lekadir
Pubblicato in: Medical Image Analysis, 2023, ISSN 1361-8415
Editore: 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

Autori: Zohaib Salahuddin, Yi Chen, Xian Zhong, Henry C. Woodruff, Nastaran Mohammadian, Shruti Atul Mali and Philippe Lambin
Pubblicato in: Cancers, 2023, ISSN 2072-6694
Editore: 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

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

Reproducible radiomics through automated machine learning validated on twelve clinical applications

Autori: 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
Pubblicato in: Medical Image Analysis, 2021, ISSN 1361-8415
Editore: Elsevier BV
DOI: 10.48550/arxiv.2108.08618

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

Autori: Jionghui Gu, Xian Zhong, Chengyu Fang, Wenjing Lou, Peifen Fu, Henry C Woodruff, Baohua Wang, Tianan Jiang, Philippe Lambin
Pubblicato in: The Oncologist, Numero 29, 2024, Pagina/e e187-e197, ISSN 1083-7159
Editore: AlphaMed Press Inc
DOI: 10.1093/oncolo/oyad227

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

Autori: 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
Pubblicato in: Cancers, Numero 1, 2021, ISSN 2072-6694
Editore: 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

Autori: 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
Pubblicato in: Journal of Digital Imaging, 2022, ISSN 0897-1889
Editore: Springer Verlag
DOI: 10.1007/s10278-022-00590-2

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

Autori: Lekadir et al.
Pubblicato in: BMJ, Numero 388, 2025, Pagina/e r340, ISSN 1756-1833
Editore: 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

Autori: 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
Pubblicato in: IEEE Access, 2023, ISSN 2169-3536
Editore: 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

Autori: 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
Pubblicato in: Insights into Imaging, Numero 15, 2024, Pagina/e 130, ISSN 1869-4101
Editore: 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

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

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

Autori: 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
Pubblicato in: Insights into Imaging, 2022, ISSN 1869-4101
Editore: 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

Autori: 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
Pubblicato in: Nature Communications, 2022, ISSN 2041-1723
Editore: 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

Autori: 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
Pubblicato in: European Radiology Experimental, 2023, ISSN 2509-9280
Editore: SpringerOpen
DOI: 10.1186/s41747-023-00336-x

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

Autori: Sheng Kuang, Henry C. Woodruff, Renee Granzier, Thiemo J.A. van Nijnatten, Marc B.I. Lobbes, Marjolein L. Smidt, Philippe Lambin, Siamak Mehrkanoon
Pubblicato in: Neural Networks, 2023, ISSN 0893-6080
Editore: 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.

Autori: Elizaveta Lavrova; Elizaveta Lavrova; Emilie Lommers; Henry C. Woodruff; Henry C. Woodruff; Avishek Chatterjee; Pierre Maquet; Eric Salmon; Philippe Lambin; Philippe Lambin; Christophe Phillips
Pubblicato in: Frontiers in Neuroscience, Numero 1, 2021, ISSN 1662-453X
Editore: 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

Autori: 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
Pubblicato in: Journal of Personalized Medicine, 2022, ISSN 2075-4426
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/jpm12050726

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

Autori: 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
Pubblicato in: Medicinal Research Reviews, Numero 1, 2021, ISSN 0198-6325
Editore: John Wiley & Sons Inc.
DOI: 10.1002/med.21846

Announcing the large-scale international EuCanImage Project

Autori: N/A, Partners EACR
Pubblicato in: 2020
Editore: European Association for Cancer Research

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

Autori: Zuzanna Szafranowska, Richard Osuala, Bennet Breier, Kaisar Kushibar, Karim Lekadir, Oliver Diaz
Pubblicato in: 16th International Workshop on Breast Imaging (IWBI2022), Numero 12286, 2022
Editore: Proc. SPIE 12286
DOI: 10.1117/12.2625781

Revisiting Skin Tone Fairness in Dermatological Lesion Classification

Autori: Thorsten Kalb, Kaisar Kushibar, Celia Cintas, Karim Lekadir, Oliver Diaz, Richard Osuala
Pubblicato in: 2023
Editore: arXiv
DOI: 10.48550/arxiv.2308.09640

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

Autori: Kaisar Kushibar, Victor Campello, Lidia Garrucho, Akis Linardos, Petia Radeva & Karim Lekadir
Pubblicato in: Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, Numero 2022, Volume 13438, 2022, ISBN 978-3-031-16451-4
Editore: Springer

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

Autori: Marta Buetas Arcas, Richard Osuala, Karim Lekadir, Oliver Díaz
Pubblicato in: 17th International Workshop on Breast Imaging (IWBI 2024), Numero 13174, 2024, Pagina/e 28
Editore: SPIE
DOI: 10.1117/12.3025548

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

Autori: Isabella Cama, Alejandro Guzman, Sara Garbarino, Cristina Campi, Karim Lekadir, Oliver Diaz
Pubblicato in: 17th International Workshop on Breast Imaging (IWBI 2024), 2024, Pagina/e 75
Editore: SPIE
DOI: 10.1117/12.3027015

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

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

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

Autori: Richard O. Osuala, Smriti Joshi, Apostolia Tsirikoglou, Lidia Garrucho Moras, Walter H. Lopez Pinaya, Oliver Diaz, Karim Lekadir
Pubblicato in: Medical Imaging 2024: Image Processing, Numero 12926, 2024, Pagina/e 31
Editore: SPIE
DOI: 10.1117/12.3006961

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

Autori: Smriti Joshi, Richard Osuala, Carlos Martín-Isla, Victor M. Campello, Carla Sendra-Balcells, Karim Lekadir & Sergio Escalera
Pubblicato in: 2022
Editore: SpringerLink

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

Autori: Smriti Joshi, Richard O. Osuala, Lidia Garrucho, Apostolia Tsirikoglou, Javier D. Riego, Katarzyna Gwozdziewicz, Kaisar Kushibar, Oliver Diaz, Karim Lekadir
Pubblicato in: Medical Imaging 2024: Image Processing, Numero 12926, 2024, Pagina/e 39
Editore: SPIE
DOI: 10.1117/12.3006783

Towards Learning Contrast Kinetics with Multi-condition Latent Diffusion Models

Autori: 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
Pubblicato in: Lecture Notes in Computer Science, Medical Image Computing and Computer Assisted Intervention – MICCAI 2024, 2024, Pagina/e 713-723, ISBN 978-3-031-72086-4
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-72086-4_67

Papers Published from EuCanImage International Project

Autori: N/A Partner EACR
Pubblicato in: 2021
Editore: European Association for Cancer Research

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