| The impact of low-frequency and rare variants on lipid levels I Surakka, M Horikoshi, R Mägi, AP Sarin, A Mahajan, V Lagou, L Marullo, ... Nature genetics 47 (6), 589-597, 2015 | 357 | 2015 |
| 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 |
| Genome-wide association analysis in humans links nucleotide metabolism to leukocyte telomere length C Li, S Stoma, LA Lotta, S Warner, E Albrecht, A Allione, PP Arp, L Broer, ... The American Journal of Human Genetics 106 (3), 389-404, 2020 | 142 | 2020 |
| 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), 1-14, 2021 | 43 | 2021 |
| PO-1710: A novel AI solution for auto-segmentation of multi-origin liver neoplasms A Vaidyanathan, W Yousif, A Ibrahim, B Miraglio, R Leijenaar, H Woodruff, ... Radiotherapy and Oncology 152, S944-S945, 2020 | 1 | 2020 |
| 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 |
| 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 |
| OC-0587: Prospective Validation of a Radiomics Signature for Chemoradiotherapy Lung Cancer Patients S Walsh, R Leijenaar, B Miraglio, S Barakat, F Zerka, A Vaidyanathan, ... Radiotherapy and Oncology 152, S330-S331, 2020 | | 2020 |
| Late Breaking Abstract-Development and validation of an automated radiomic CT signature for detecting? COVID-19 A Vaidyanathan, J Guiot, L Deprez, D Danthine, G Canivet, M Stéphane, ... European Respiratory Journal 56 (suppl 64), 2020 | | 2020 |
| ARTICLE Genome-wide Association Analysis in Humans Links Nucleotide Metabolism to Leukocyte Telomere Length C Li, S Stoma, LA Lotta, S Warner, E Albrecht, A Allione, PP Arp, L Broer, ... | | 2020 |
| Development and validation of an automated radiomic CT signature for detecting COVID-19 A Vaidyantahan, J GUIOT, L DEPREZ, F Zerka, D Danthine, AN Frix, ... European Respiratory Journal, 2020 | | 2020 |
| Detecting Toxicity Pathways with a Formal Framework Based on Equilibrium Changes B Miraglio, G Bernot, JP Comet, CR Faverney International Conference on Computational Methods in Systems Biology, 196-213, 2017 | | 2017 |
| LATEX day Discovering LATEX C Fedele, G Perez, B Miraglio | | 2017 |
| A Qualitative Framework Dedicated to Toxicology. B Miraglio, G Bernot, JP Comet, C Risso-de Faverney BIOINFORMATICS, 93-103, 2017 | | 2017 |
| Towards a Computer Aided Toxicology B Miraglio, G Bernot, JP Comet advances in Systems and Synthetic Biology, 2016 | | 2016 |
