We’re making our research findings available free of charge for readers and are providing open access to published papers and reports. The list will be updated as the project progresses.
| Title | Author | Journal | Date | DOI |
|---|---|---|---|---|
| Prognostic and Predictive Value of Integrated Qualitative and Quantitative Magnetic Resonance Imaging Analysis in Glioblastoma. | M Verduin et al. | Cancers | February 2021 | 10.3390/cancers13040722 |
| Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools | O Diaz et al. | Physica Medica | March 2021 | 10.1016/j.ejmp.2021.02.007 |
| 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. | Y van Wijk et al. | Cancers | May 2021 | 10.3390/cancers13112687 |
| The application of a workflow integrating the variable reproducibility and harmonizability of radiomic features on a phantom dataset. | A Ibrahim et al. | PLoS ONE | May 2021 | 10.1371/journal.pone.0251147 |
| Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease. | A Linardos et al. | Scientific Reports 2022 | July 2021 | 10.21203/rs.3.rs-688924/v1 |
| A review in radiomics: Making personalized medicine a reality via routine imaging. | J Guiot et al. | Medicinal Research Reviews | July 2021 | 10.1002/med.21846 |
| A Review of Generative Adversarial Networks in Cancer Imaging: New Applications, New Solutions | R Osuala et al. | Medical Image Analysis | July 2021 | 10.48550/arxiv.2107.09543 |
| A deep look into radiomics | C Scapicchio et al. | Radiologia Medica | July 2021 | 10.1007/s11547-021-01389-x |
| Making Radiomics More Reproducible across Scanner and Imaging Protocol Variations: A Review of Harmonization Methods | S Atul Mali et al. | Journal of Personalized Medicine | August 2021 | 10.3390/jpm11090842 |
| Reproducible radiomics through automated machine learning validated on twelve clinical applications | MPA Starmans et al. | Medical Image Analysis | August 2021 | 10.48550/arxiv.2108.08618 |
| The Erasmus Glioma Database (EGD): Structural MRI scans, WHO 2016 subtypes, and segmentations of 774 patients with glioma | SR van der Voort et al. | Data in Brief | August 2021 | 10.1016/j.dib.2021.107191 |
| The WORC database: MRI and CT scans, segmentations, and clinical labels for 930 patients from six radiomics studies | MPA Starmans et al. | medRxiv | August 2021 | 10.1101/2021.08.19.21262238 |
| FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging | K Lekadir et al. | Advances in Computer Vision and Pattern Recognition | September 2021 | 10.48550/arxiv.2109.09658 |
| Reproducibility of CT-Based Hepatocellular Carcinoma Radiomic Features across Different Contrast Imaging Phases: A Proof of Concept on SORAMIC Trial Data | A Ibrahim et al. | Cancers | September 2021 | 10.3390/cancers13184638 |
| Privacy preserving distributed learning classifiers – Sequential learning with small sets of data | F Zerka et al. | Computers in Biology and Medicine | September 2021 | 10.1016/j.compbiomed.2021.104716 |
| Test–Retest Data for the Assessment of Breast MRI Radiomic Feature Repeatability | RWY Granzier et al. | Journal of Magnetic Resonance Imaging | December 2021 | 10.1002/jmri.28027 |
| Differential Diagnosis and Molecular Stratification of Gastrointestinal Stromal Tumors on CT Images Using a Radiomics Approach | MPA Starmans et al. | Journal of Digital Imaging | January 2022 | 10.1007/s10278-022-00590-2 |
| Bridging gaps between images and data: a systematic update on imaging biobanks | M Gabelloni et al. | European Radiology | January 2022 | 10.1007/s00330-021-08431-6 |
| Domain generalization in deep learning-based mass detection in mammography: A large-scale multi-center study | L Garrucho et al. | Advances in Computer Vision and Pattern Recognition | January 2022 | 10.48550/arXiv.2201.11620 |
| A blockchain based approach for Privacy Preserving distributed learning – Grade Group Prediction for Prostate Cancer Patients | F Zerka et al. | Doctoral Thesis | January 2022 | 10.26481/dis.20220209fz |
| Radiomic Applications on Digital Breast Tomosynthesis of BI-RADS Category 4 Calcifications Sent for Vacuum-Assisted Breast Biopsy | B Facati et al. | Diagnostics | March 2022 | 10.3390/diagnostics12040771 |
| Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation | K Kushibar et al. | Image and Video Processing | March 2022 | 10.48550/arXiv.2203.08878 |
| Optimization of preoperative lymph node staging in patients with muscle-invasive bladder cancer using radiomics on computed tomography | MPA Starmans et al. | Journal of Personalized Medicine | April 2022 | 10.3390/jpm12050726 |
| Sharing Generative Models Instead of Private Data: A Simulation Study on Mammography Patch Classification | Z Szafranowska et al. | Image and Video Processing | April 2022 | 10.48550/arXiv.2203.04961 |
| Considerations for artificial intelligence clinical impact in oncologic imaging: an AI4HI position paper | L Marti-Bonmati et al. | Insights into Imaging | May 2022 | 10.1186/s13244-022-01220-9 |
| Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools | O Diaz et al. | Physica Medica | March 2021 | 10.1016/j.ejmp.2021.02.007 |
| nn-UNet training on CycleGAN-translated images for cross-modal domain adaptation in biomedical imaging | S Joshi et al. | International MICCAI Brainlesion Workshop | September 2021 | 10.1007/978-3-031-09002-8_47 |
| Automated detection and segmentation of non-small cell lung cancer computed tomography images | SP Primakov et al. | Nature Communications | June 2022 | 10.1038/s41467-022-30841-3 |
| Diagnosis of Idiopathic Pulmonary Fibrosis in High-Resolution Computed Tomography Scans Using a Combination of Handcrafted Radiomics and Deep Learning | T Refaee et al. | Frontiers in Medicine | June 2022 | 10.3389/fmed.2022.915243 |
| Combined molecular subtyping, grading, and segmentation of glioma using multi-task deep learning | SR van der Voort et al. | Neuro-oncology | July 2022 | 10.1093/neuonc/noac166 |
| Sharing Generative Models Instead of Private Data: A Simulation Study on Mammography Patch Classification | Z Szafranowska et al. | International Workshop of Breast Imaging 2022 | July 2022 | 10.1117/12.2625781 |
| Ethics of AI in Radiology: A Review of Ethical and Societal Implications | M Goisauf et al. | Frontiers in Big Data | July 2022 | 10.3389/fdata.2022.850383 |
| Secondary use of Personal Health Data: when is it ‘Further Processing’ under the GDPR, and What Are the Implications for Data Controllers? | R Becker et al. | European Journal of Health Law | August 2022 | 10.1163/15718093-bja10094 |
| Domain generalization in deep learning based mass detection in mammography: A large-scale multi-center study | L Garrucho et al. | Artificial Intelligence in Medicine | September 2022 | 10.1016/j.artmed.2022.102386 |
| Layer ensembles: A single-pass uncertainty estimation in deep learning for segmentation | K Kushibar et al. | MICCAI 2022 | September 2022 | 10.1007/978-3-031-16452-1_49 |
| Bridging the European Data Sharing Divide in Genomic Science | P Nicolas et al | Journal of Medical Internet Research | October 2022 | 10.2196/37236 |
| Data synthesis and adversarial networks: A review and meta-analysis in cancer imagin | R Osuala et al. | Medical Image Analysis | November 2022 | 10.1016/j.media.2022.102704 |
| medigan: a Python library of pretrained generative models for medical image synthesis | R Osuala et al. | Journal of Medical Imaging | January 2023 | 10.1117/1.JMI.10.6.061403 |
| High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection | L Garrucho et al. | Frontiers in Oncology | January 2023 | 10.3389/fonc.2022.1044496 |
| medigan: A Python Library of Pretrained Generative Models for Enriched Data Access in Medical Imaging | F Prior | Journal of Medical Imaging | February 2023 | 10.1117/1.JMI.10.6.061403 |
| UR-CarA-Net: A Cascaded Framework With Uncertainty Regularization for Automated Segmentation of Carotid Arteries on Black Blood MR Images | E Lavrova et al. | IEEE Access | March 2023 | 10.1109/ACCESS.2023.3258408 |
| 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 | Z Salahuddin et al. | Cancers | April 2023 | 10.3390/cancers15071932 |
| Data Infrastructures for AI in Medical Imaging: A report on the experiences of five EU projects | F Prior | European Radiology Experimental | May 2023 | 10.1186/s41747-023-00336-x |
| Reconciling the biomedical data commons and the GDPR: three lessons from the EUCAN ELSI collaboratory | P Nicolas et al. | European Journal of Human Genetics | June 2023 | 10.1038/s41431-023-01403-y |
| Research with Human Biological Samples: Systematization of the Phases and Affected Rights | P Nicolas | Handbook of Bioethical Decisions | June 2023 | 10.1007/978-3-031-29451-8_16 |
| Synthetic data for privacy-preserving deep-learning in mammography | R Osuala et al. | European Congress of Radiology 2023 | July 2023 | 10.26044/ecr2023/C-24413 |
| Revisiting Skin Tone Fairness in Dermatological Lesion Classification | T Kalb et al. | MICCAI Workshop on Clinical Image-Based Procedures 2023 | October 2023 | 10.48550/arXiv.2308.09640 |
