J. van Soest

发表

Developing and Validating a Survival Prediction Model for NSCLC Patients Through Distributed Learning Across 3 Countries

P. Lambin, S. Jolly, A. Dekker, 2017, International journal of radiation oncology, biology, physics.

Distributed learning: Developing a predictive model based on data from multiple hospitals without data leaving the hospital - A real life proof of concept.

P. Lambin, A. Jochems, T. Deist, 2016, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Decision support systems for personalized and participative radiation oncology☆

P. Lambin, R. Larue, M. V. van Gisbergen, 2017, Advanced drug delivery reviews.

Prognostic factors analysis for oral cavity cancer survival in the Netherlands and Taiwan using a privacy-preserving federated infrastructure

A. Dekker, J. van Soest, G. Geleijnse, 2020, Scientific Reports.

An umbrella protocol for standardized data collection (SDC) in rectal cancer: a prospective uniform naming and procedure convention to support personalized medicine.

J. van Soest, A. Dekker, V. Valentini, 2014, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Standardized data collection to build prediction models in oncology: a prototype for rectal cancer.

Andre Dekker, Roberto Gatta, Vincenzo Valentini, 2016, Future oncology.

Timing to achieve the highest rate of pCR after preoperative radiochemotherapy in rectal cancer: a pooled analysis of 3085 patients from 7 randomized trials.

L. Collette, J. van Soest, A. Dekker, 2020, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

External Validation of Radiation-Induced Dyspnea Models on Esophageal Cancer Radiotherapy Patients

A. Dekker, J. van Soest, A. Dekker, 2019, Front. Oncol..

Radiomics biopsy signature for predicting survival in patients with spinal bone metastases (SBMs)

J. van Soest, A. Dekker, S. van Kuijk, 2022, Clinical and translational radiation oncology.

Fractal-based radiomic approach to predict complete pathological response after chemo-radiotherapy in rectal cancer

P. Lambin, J. van Soest, A. Dekker, 2018, La radiologia medica.

Overall survival nomogram for patients with spinal bone metastases (SBM)

A. Dekker, J. van Soest, L. Wee, 2021, Clinical and translational radiation oncology.

Prediction of Radiotherapy Compliance in Elderly Cancer Patients Using an Internally Validated Decision Tree

J. van Soest, K. Lee, I. Bermejo, 2022, Cancers.

Diffuse sclerosing osteomyelitis (chronic tendoperiostitis) of the mandible. An 11-year follow-up report.

J. van Soest, J. V. van Merkesteyn, J. Bras, 1992, Oral surgery, oral medicine, and oral pathology.

Infrastructure and distributed learning methodology for privacy-preserving multi-centric rapid learning health care: euroCAT

Timo M. Deist, Andre Dekker, Georgi Nalbantov, 2017, Clinical and translational radiation oncology.

Nomogram predicting response after chemoradiotherapy in rectal cancer using sequential PETCT imaging: a multicentric prospective study with external validation.

Andre Dekker, Vincenzo Valentini, Alessandro Giordano, 2014, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Personal Health Train on FHIR: A Privacy Preserving Federated Approach for Analyzing FAIR Data in Healthcare

Andre Dekker, Ananya Choudhury, Stuti Nayak, 2020, ICML 2020.

Distributed learning on 20 000+ lung cancer patients - The Personal Health Train.

Jiazhou Wang, Philippe Lambin, Andre Dekker, 2020, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

The Impact of Clinical Trial Quality Assurance on Outcome in Head and Neck Radiotherapy Treatment

J. van Soest, A. Dekker, Ying Xiao, 2019, Front. Oncol..

Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers

Timothy Solberg, Issam El Naqa, Gilmer Valdes, 2018, Medical physics.

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.

P. Lambin, F. Hoebers, J. van Soest, 2016, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Technical Note: Ontology‐guided radiomics analysis workflow (O‐RAW)

Leonard Wee, Alberto Traverso, Andre Dekker, 2019, Medical physics.

Clinical evaluation of atlas and deep learning based automatic contouring for lung cancer.

Paul Aljabar, Andre Dekker, Devis Peressutti, 2017, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

External Validation of Radiation-Induced Dyspnea Models on Esophageal Cancer Radiotherapy Patients

A. Dekker, J. van Soest, A. Dekker, 2018, Front. Oncol..

Predicting outcomes in anal cancer patients using multi-centre data and distributed learning - a proof-of-concept study.

A. Dekker, J. van Soest, M. Berbée, 2021, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Bayesian network structure for predicting local tumor recurrence in rectal cancer patients treated with neoadjuvant chemoradiation followed by surgery

J. van Soest, A. Dekker, J. Folkesson, 2022, Physics and imaging in radiation oncology.

ciTIzen-centric DAta pLatform (TIDAL): Sharing distributed personal data in a privacy-preserving manner for health research

M. Dumontier, J. van Soest, Marc Gallofré Ocaña, 2023, Semantic Web.

Privacy-Preserving Federated Data Analysis: Data Sharing, Protection, and Bioethics in Healthcare

M. Dumontier, J. van Soest, A. Dekker, 2022, Machine and Deep Learning in Oncology, Medical Physics and Radiology.

Comparative evaluation of autocontouring in clinical practice: A practical method using the Turing test

Paul Aljabar, Andre Dekker, Devis Peressutti, 2018, Medical physics.

Independent validation of a dysphagia dose response model for the selection of head and neck cancer patients to proton therapy

F. Hoebers, J. van Soest, A. Dekker, 2022, Physics and imaging in radiation oncology.

An Evaluation of Atlas Selection Methods for Atlas-Based Automatic Segmentation in Radiotherapy Treatment Planning

Djamal Boukerroui, Andre Dekker, Devis Peressutti, 2019, IEEE Transactions on Medical Imaging.

Can Atlas-Based Auto-Segmentation Ever Be Perfect? Insights From Extreme Value Theory

Djamal Boukerroui, Andre Dekker, Timor Kadir, 2019, IEEE Transactions on Medical Imaging.

The radiation oncology ontology (ROO): Publishing linked data in radiation oncology using semantic web and ontology techniques

Alberto Traverso, Leonard Wee, Andre Dekker, 2018, Medical physics.

Prospective validation of pathologic complete response models in rectal cancer: Transferability and reproducibility

Andre Dekker, Roberto Gatta, Vincenzo Valentini, 2017, Medical physics.

Medicine is a science of uncertainty and an art of probability (Sir W. Osler).

J. van Soest, A. Dekker, V. Valentini, 2015, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Magnetic Resonance, Vendor-independent, Intensity Histogram Analysis Predicting Pathologic Complete Response After Radiochemotherapy of Rectal Cancer.

Andre Dekker, Roberto Gatta, Vincenzo Valentini, 2018, International journal of radiation oncology, biology, physics.

Generating synthetic personal health data using conditional generative adversarial networks combining with differential privacy.

M. Dumontier, J. van Soest, J. V. Soest, 2023, Journal of biomedical informatics.

Exploring associations of preoperative physical performance with postoperative outcomes after lumbar spinal fusion: a machine learning approach.

A. Dekker, J. van Soest, N. V. van Meeteren, 2021, Archives of physical medicine and rehabilitation.

FAIR-IFICATION OF STRUCTURED CLINICAL DATA

Andre Dekker, Leonard Wee, Johan van Soest, 2021, medRxiv.

Making radiotherapy more efficient with FAIR data.

A. Dekker, J. van Soest, P. Kalendralis, 2021, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

FAIR‐compliant clinical, radiomics and DICOM metadata of RIDER, interobserver, Lung1 and head‐Neck1 TCIA collections

Rianne Fijten, Stefan Klein, Leonard Wee, 2020, Medical physics.

Big data for better cancer care.

Akuli B. Osong, A. Dekker, J. van Soest, 2019, British journal of hospital medicine.

pCR and 2-Year Disease-Free Survival: A Combination of the Two Endpoints as a New Classification for Locally Advanced Rectal Cancer Patients—An Updated Pooled Analysis of Eleven International Randomized Trials

J. van Soest, A. Dekker, C. Rödel, 2023, Cancers.

Big Data in radiation therapy: challenges and opportunities

Andre Dekker, Philippe Lambin, Sean Walsh, 2016, The British journal of radiology.

Implementation of Big Imaging Data Pipeline Adhering to FAIR Principles for Federated Machine Learning in Oncology

J. van Soest, A. Dekker, Zhenwei Shi, 2022, IEEE Transactions on Radiation and Plasma Medical Sciences.

TU-AB-202-10: How Effective Are Current Atlas Selection Methods for Atlas-Based Auto-Contouring in Radiotherapy Planning?

T Kadir, D Peressutti, B Schipaanboord, 2016, Medical physics.

Applying federated learning to combat food fraud in food supply chains.

A. Gavai, R. Kaliyaperumal, J. van Soest, 2023, NPJ science of food.

Validation of a rectal cancer outcome prediction model with a cohort of Chinese patients

J. van Soest, A. Dekker, Ying Xiao, 2015, Oncotarget.

An umbrella protocol for standardized data collection (SDC) in rectal cancer: a prospective uniform naming and procedure convention to support personalized medicine.

J. van Soest, A. Dekker, V. Valentini, 2014, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

VATE: VAlidation of high TEchnology based on large database analysis by learning machine

Andre Dekker, Roberto Gatta, Vincenzo Valentini, 2014 .