Johan van Soest
Johan van Soest
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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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, 2020
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
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
Towards a modular decision support system for radiomics: A case study on rectal cancer
R Gatta, M Vallati, N Dinapoli, C Masciocchi, J Lenkowicz, D Cusumano, ...
Artificial intelligence in medicine 96, 145-153, 2019
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