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 |