| Radiomics: from qualitative to quantitative imaging W Rogers, S Thulasi Seetha, TAG Refaee, RIY Lieverse, RWY Granzier, ... The British journal of radiology 93 (1108), 20190948, 2020 | 215 | 2020 |
| A review in radiomics: making personalized medicine a reality via routine imaging J Guiot, A Vaidyanathan, L Deprez, F Zerka, D Danthine, AN Frix, ... Medicinal research reviews 42 (1), 426-440, 2022 | 145 | 2022 |
| Systematic review of privacy-preserving distributed machine learning from federated databases in health care F Zerka, S Barakat, S Walsh, M Bogowicz, RTH Leijenaar, A Jochems, ... JCO clinical cancer informatics 4, 184-200, 2020 | 114 | 2020 |
| Blockchain for privacy preserving and trustworthy distributed machine learning in multicentric medical imaging (C-DistriM) F Zerka, V Urovi, A Vaidyanathan, S Barakat, RTH Leijenaar, S Walsh, ... Ieee Access 8, 183939-183951, 2020 | 61 | 2020 |
| Development and validation of an automated radiomic CT signature for detecting COVID-19 J Guiot, A Vaidyanathan, L Deprez, F Zerka, D Danthine, AN Frix, M Thys, ... Diagnostics 11 (1), 41, 2020 | 52 | 2020 |
| Deep learning for the fully automated segmentation of the inner ear on MRI A Vaidyanathan, MFJA van der Lubbe, RTH Leijenaar, M van Hoof, ... Scientific reports 11 (1), 2885, 2021 | 43 | 2021 |
| Privacy preserving distributed learning classifiers–sequential learning with small sets of data F Zerka, V Urovi, F Bottari, RTH Leijenaar, S Walsh, H Gabrani-Juma, ... Computers in Biology and Medicine 136, 104716, 2021 | 13 | 2021 |
| An externally validated fully automated deep learning algorithm to classify COVID-19 and other pneumonias on chest computed tomography A Vaidyanathan, J Guiot, F Zerka, F Belmans, I Van Peufflik, L Deprez, ... ERJ Open Research 8 (2), 2022 | 9 | 2022 |
| Systematic review, meta-analysis and radiomics quality score assessment of CT radiomics-based models predicting tumor EGFR mutation status in patients with non-small-cell lung … M Felfli, Y Liu, F Zerka, C Voyton, A Thinnes, S Jacques, A Iannessi, ... International Journal of Molecular Sciences 24 (14), 11433, 2023 | 4 | 2023 |
| A blockchain based approach for Privacy Preserving distributed learning-Grade Group Prediction for Prostate Cancer Patients F Zerka, V Urovi, A Vaidyanathan, V Jaiman, RT Leijenaar, S Walsh, ... Distrib. Learn. Optim. Radiomics Knowl 135, 2022 | 1 | 2022 |
| External validation of a radiomic signature to predict HPV (p16) status from standard CT images of anal and vulvar cancer patients. RTH Leijenaar, S Walsh, A Vaidyanathan, F Zerka, M Occhipinti, ... Journal of Clinical Oncology 39 (15_suppl), e15502-e15502, 2021 | 1 | 2021 |
| 5MO Prospective validation of a radiomics signature for chemoradiotherapy lung cancer patients R Leijenaar, F Zerka, A Vaidyanathan, B Miraglio, N Tsoutzidis, W Vos, ... Annals of Oncology 31, S246, 2020 | 1 | 2020 |
| Federated learning for prostate cancer detection in biparametric MRI: optimization of rounds, epochs, and aggregation strategy A Moradi, F Zerka, JS Bosma, D Yakar, J Geerdink, H Huisman, ... Medical Imaging 2024: Computer-Aided Diagnosis 12927, 412-421, 2024 | | 2024 |
| Multicenter evaluation of AI-based CT radiomics for EGFR mutation prediction in NSCLC. Y Liu, S Bodard, M Felfli, F Zerka, C Voyton, A Thinnes, S Jacques, ... Journal of Clinical Oncology 41 (16_suppl), e20515-e20515, 2023 | | 2023 |
| CT based radiomics signature for phenotyping histopathological subtype in patients with non-small cell lung cancer. Y Liu, F Zerka, S Bodard, M Felfli, C Voyton, A Thinnes, S Jacques, ... Journal of Clinical Oncology 41 (16_suppl), e20599-e20599, 2023 | | 2023 |
| Privacy-preserving distributed machine learning from federated databases in healthcare F Zerka, S Barakat, S Walsh, M Bogowicz, RTH Leijenaar, A Jochems, ... Distributed learning for optimal Radiomics knowledge, 43, 2022 | | 2022 |
| Distributed learning for optimal radiomics knowledge F Zerka | | 2022 |
| Deep learning architecture for the classification of COVID-19 and others pneumonias sources on lung CT imaging A Vaidyanathan, J Guiot, F Zerka, L Deprez, D Danthine, F Bottari, ... European Respiratory Journal 58 (suppl 65), 2021 | | 2021 |
| Prediction of outcome in COVID-19 patients based on clinical and radiomics chest CT data J Guiot, A Vaidyanathan, F Zerka, L Deprez, D Danthine, AN Frix, F Bottari, ... European Respiratory Journal 58 (suppl 65), 2021 | | 2021 |
| Development and Validation of an Automated Radiomic CT Signature for Detecting COVID-19. J GUIOT, A Vaidyanathan, L DEPREZ, F Zerka, D Danthine, AN Frix, ... Diagnostics 11 (1), 2021 | | 2021 |
