| Radiomics: the bridge between medical imaging and personalized medicine P Lambin, RTH Leijenaar, TM Deist, J Peerlings, EEC De Jong, ... Nature reviews Clinical oncology 14 (12), 749-762, 2017 | 4462 | 2017 |
| Clinical evaluation of atlas and deep learning based automatic contouring for lung cancer T Lustberg, J van Soest, M Gooding, D Peressutti, P Aljabar, ... Radiotherapy and Oncology 126 (2), 312-317, 2018 | 379 | 2018 |
| Machine learning algorithms for outcome prediction in (chemo) radiotherapy: An empirical comparison of classifiers TM Deist, FJWM Dankers, G Valdes, R Wijsman, IC Hsu, C Oberije, ... Medical physics 45 (7), 3449-3459, 2018 | 302 | 2018 |
| Distributed learning: developing a predictive model based on data from multiple hospitals without data leaving the hospital–a real life proof of concept A Jochems, TM Deist, J Van Soest, M Eble, P Bulens, P Coucke, W Dries, ... Radiotherapy and Oncology 121 (3), 459-467, 2016 | 214 | 2016 |
| Infrastructure and distributed learning methodology for privacy-preserving multi-centric rapid learning health care: euroCAT TM Deist, A Jochems, J van Soest, G Nalbantov, C Oberije, S Walsh, ... Clinical and translational radiation oncology 4, 24-31, 2017 | 172 | 2017 |
| Decision support systems for personalized and participative radiation oncology P Lambin, J Zindler, BGL Vanneste, L Van De Voorde, D Eekers, ... Advanced drug delivery reviews 109, 131-153, 2017 | 163 | 2017 |
| Developing and validating a survival prediction model for NSCLC patients through distributed learning across 3 countries A Jochems, TM Deist, I El Naqa, M Kessler, C Mayo, J Reeves, S Jolly, ... International Journal of Radiation Oncology* Biology* Physics 99 (2), 344-352, 2017 | 149 | 2017 |
| Distributed learning on 20 000+ lung cancer patients–The Personal Health Train TM Deist, FJWM Dankers, P Ojha, MS Marshall, T Janssen, C Faivre-Finn, ... Radiotherapy and Oncology 144, 189-200, 2020 | 148 | 2020 |
| Fractal-based radiomic approach to predict complete pathological response after chemo-radiotherapy in rectal cancer D Cusumano, N Dinapoli, L Boldrini, G Chiloiro, R Gatta, C Masciocchi, ... La radiologia medica 123, 286-295, 2018 | 119 | 2018 |
| Distributed analytics on sensitive medical data: the personal health train O Beyan, A Choudhury, J Van Soest, O Kohlbacher, L Zimmermann, ... Data Intelligence 2 (1-2), 96-107, 2020 | 101 | 2020 |
| Magnetic resonance, vendor-independent, intensity histogram analysis predicting pathologic complete response after radiochemotherapy of rectal cancer N Dinapoli, B Barbaro, R Gatta, G Chiloiro, C Casà, C Masciocchi, ... International Journal of Radiation Oncology* Biology* Physics 102 (4), 765-774, 2018 | 99 | 2018 |
| Comparative evaluation of autocontouring in clinical practice: A practical method using the Turing test MJ Gooding, AJ Smith, M Tariq, P Aljabar, D Peressutti, J Van der Stoep, ... Medical physics 45 (11), 5105-5115, 2018 | 94 | 2018 |
| Development and evaluation of an online three-level proton vs photon decision support prototype for head and neck cancer–comparison of dose, toxicity and cost-effectiveness Q Cheng, E Roelofs, BLT Ramaekers, D Eekers, J van Soest, T Lustberg, ... Radiotherapy and Oncology 118 (2), 281-285, 2016 | 79 | 2016 |
| The radiation oncology ontology (ROO): Publishing linked data in radiation oncology using semantic web and ontology techniques A Traverso, J Van Soest, L Wee, A Dekker Medical physics 45 (10), e854-e862, 2018 | 78 | 2018 |
| Nomogram predicting response after chemoradiotherapy in rectal cancer using sequential PETCT imaging: a multicentric prospective study with external validation RGPM van Stiphout, V Valentini, J Buijsen, G Lammering, E Meldolesi, ... Radiotherapy and Oncology 113 (2), 215-222, 2014 | 69 | 2014 |
| Timing to achieve the highest rate of pCR after preoperative radiochemotherapy in rectal cancer: a pooled analysis of 3085 patients from 7 randomized trials MA Gambacorta, C Masciocchi, G Chiloiro, E Meldolesi, G Macchia, ... Radiotherapy and Oncology 154, 154-160, 2021 | 66 | 2021 |
| VANTAGE6: an open source priVAcy preserviNg federaTed leArninG infrastructurE for Secure Insight eXchange A Moncada-Torres, F Martin, M Sieswerda, J Van Soest, G Geleijnse AMIA annual symposium proceedings 2020, 870, 2021 | 61 | 2021 |
| Ontology‐guided radiomics analysis workflow (O‐RAW) Z Shi, A Traverso, J van Soest, A Dekker, L Wee Medical Physics 46 (12), 5677-5684, 2019 | 50 | 2019 |
| Big data in radiation therapy: challenges and opportunities T Lustberg, J van Soest, A Jochems, T Deist, Y van Wijk, S Walsh, ... The British journal of radiology 90 (1069), 20160689, 2017 | 47 | 2017 |
| An umbrella protocol for standardized data collection (SDC) in rectal cancer: a prospective uniform naming and procedure convention to support personalized medicine E Meldolesi, J van Soest, N Dinapoli, A Dekker, A Damiani, ... Radiotherapy and Oncology 112 (1), 59-62, 2014 | 47 | 2014 |
Andre DekkerProfessor of Clinical Data Science, MAASTRO Clinic, Maastricht University, GROW, Maastricht UMC+Dirección de correo verificada de maastro.nl