Research results

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.

Prognostic and Predictive Value of Integrated Qualitative and Quantitative Magnetic Resonance Imaging Analysis in Glioblastoma.M Verduin et al.CancersFebruary 202110.3390/cancers13040722
Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and toolsO Diaz et al.Physica MedicaMarch 202110.1016/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.CancersMay 202110.3390/cancers13112687
The application of a workflow integrating the variable reproducibility and harmonizability of radiomic features on a phantom dataset.A Ibrahim et al.PLoS ONEMay 202110.1371/journal.pone.0251147
Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease.A Linardos et al.Scientific Reports 2022July 202110.21203/
A review in radiomics: Making personalized medicine a reality via routine imaging.J Guiot et al.Medicinal Research ReviewsJuly 202110.1002/med.21846
A Review of Generative Adversarial Networks in Cancer Imaging: New Applications, New SolutionsR Osuala et al.Medical Image AnalysisJuly 202110.48550/arxiv.2107.09543
A deep look into radiomicsC Scapicchio et al.Radiologia MedicaJuly 202110.1007/s11547-021-01389-x
Making Radiomics More Reproducible across Scanner and Imaging Protocol Variations: A Review of Harmonization MethodsS  Atul Mali et al.Journal of Personalized MedicineAugust 202110.3390/jpm11090842
Reproducible radiomics through automated machine learning validated on twelve clinical applicationsMPA Starmans et al.Medical Image AnalysisAugust 202110.48550/arxiv.2108.08618
The Erasmus Glioma Database (EGD): Structural MRI scans, WHO 2016 subtypes, and segmentations of 774 patients with gliomaSR van der Voort et al.Data in BriefAugust 202110.1016/j.dib.2021.107191
The WORC database: MRI and CT scans, segmentations, and clinical labels for 930 patients from six radiomics studiesMPA Starmans et al.medRxivAugust 202110.1101/2021.08.19.21262238
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical ImagingK Lekadir et al.Advances in Computer Vision and Pattern RecognitionSeptember 202110.48550/arxiv.2109.09658
Reproducibility of CT-Based Hepatocellular Carcinoma Radiomic Features across Different Contrast Imaging Phases: A Proof of Concept on SORAMIC Trial DataA Ibrahim et al.CancersSeptember 202110.3390/cancers13184638
Privacy preserving distributed learning classifiers – Sequential learning with small sets of dataF Zerka et al.Computers in Biology and MedicineSeptember 202110.1016/j.compbiomed.2021.104716
Test–Retest Data for the Assessment of Breast MRI Radiomic Feature RepeatabilityRWY Granzier et al.Journal of Magnetic Resonance ImagingDecember 202110.1002/jmri.28027
Differential Diagnosis and Molecular Stratification of Gastrointestinal Stromal Tumors on CT Images Using a Radiomics ApproachMPA Starmans et al.Journal of Digital ImagingJanuary 202210.1007/s10278-022-00590-2
Bridging gaps between images and data: a systematic update on imaging biobanksM Gabelloni et al.European RadiologyJanuary 202210.1007/s00330-021-08431-6
Domain generalization in deep learning-based mass detection in mammography: A large-scale multi-center studyL Garrucho et al.Advances in Computer Vision and Pattern RecognitionJanuary 202210.48550/arXiv.2201.11620
A blockchain based approach for Privacy Preserving distributed learning – Grade Group Prediction for Prostate Cancer Patients F Zerka et al.Doctoral ThesisJanuary 202210.26481/dis.20220209fz
Radiomic Applications on Digital Breast Tomosynthesis of BI-RADS Category 4 Calcifications Sent for Vacuum-Assisted Breast BiopsyB Facati et al.DiagnosticsMarch 202210.3390/diagnostics12040771
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for SegmentationK Kushibar et al.Image and Video ProcessingMarch 202210.48550/arXiv.2203.08878
Optimization of preoperative lymph node staging in patients with muscle-invasive bladder cancer using radiomics on computed tomographyMPA Starmans et al.Journal of Personalized MedicineApril 202210.3390/jpm12050726
Sharing Generative Models Instead of Private Data: A Simulation Study on Mammography Patch ClassificationZ Szafranowska et al.Image and Video ProcessingApril 202210.48550/arXiv.2203.04961
Considerations for artificial intelligence clinical impact in oncologic imaging: an AI4HI position paperL Marti-Bonmati et al.Insights into ImagingMay 202210.1186/s13244-022-01220-9