Johan van Soest

University of Maastricht

Netherlands

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Articles (19)

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2025

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Collaborators (24)

Iñigo Bermejo

University of Maastricht

NETHERLANDS

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Mark Ibberson

SIB Swiss Institute of Bioinformatics

SWITZERLAND

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Yenny Leal

SPAIN

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Bart Chateau Bongers

University of Maastricht

NETHERLANDS

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Katja Aben

Radboud University Medical Center

NETHERLANDS

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Florian van Daalen

University of Maastricht

NETHERLANDS

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Katie Spencer

University of Leeds

UNITED KINGDOM

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Yamine Bouzembrak

Assistant Professor in AI

Wageningen University & Research

NETHERLANDS

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Femke F. Smit

University of Maastricht

NETHERLANDS

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Francois Pattou

Professor

Université de Lille

FRANCE

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Jose Manuel Fernández-Real

Full Professor

Universitat de Girona

SPAIN

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Daniel Esteban Coral Candelo

Lund University

SWEDEN

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Hajar Hasannejadasl

University of Maastricht

NETHERLANDS

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Leonard Wee

Assistant Professor of Clinical Data Science

University of Maastricht

NETHERLANDS

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Vassilios Ioannidis

SIB Swiss Institute of Bioinformatics

SWITZERLAND

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Reinhard W Holl

GERMANY

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Jordi Blanch

PROFESSOR ASSOCIAT

University of Girona

SPAIN

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Joshi Hogenboom

University of Maastricht

NETHERLANDS

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Niels Peek

Professor of Data Science and Healthcare Improvement

University of Cambridge

UNITED KINGDOM

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Andre Dekker

Professor of Clinical Data Science

Maastricht University Medical Centre

NETHERLANDS

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Gareth Hawkes

Lecturer in Health Data Science

University of Exeter

UNITED KINGDOM

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David Sebag-Montefiore

Professor of Clinical Oncology and Health Research

University of Leeds

UNITED KINGDOM

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Cecile Wolfs

University of Maastricht

NETHERLANDS

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Maryam Kavousi

MD PhD FESC Associate Professor

Erasmus MC

NETHERLANDS

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Johan van Soest

Research Interests

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Articles (19)

A Governance Framework for Federated Learning Projects in Healthcare

What to Report? A Systematic Review of Medical AI Reporting Guidelines: Preliminary Results

Advancing Privacy-Preserving Health Care Analytics and Implementation of the Personal Health Train: Federated Deep Learning Study

A critique of current approaches to privacy in machine learning

A Federated Database for Obesity Research: An IMI-SOPHIA Study

The value of PROMs for predicting erectile dysfunction in prostate cancer patients with Bayesian network

Colorectal cancer health and care quality indicators in a federated setting using the Personal Health Train

An Overview of Real-World Data Infrastructure for Cancer Research

Operationalizing and digitizing person-centered daily functioning

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

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

Automatic quality assurance of radiotherapy treatment plans using Bayesian networks: A multi-institutional study

ciTIzen-centric DAta pLatform (TIDAL)

Applying federated learning to combat food fraud in food supply chains

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

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

Studying the association of diabetes and healthcare cost on distributed data from the Maastricht Study and Statistics Netherlands using a privacy-preserving federated learning infrastructure

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

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

Collaborators (24)

Iñigo Bermejo

Mark Ibberson

Yenny Leal

Bart Chateau Bongers

Katja Aben

Florian van Daalen

Katie Spencer

Yamine Bouzembrak

Femke F. Smit

Francois Pattou

Jose Manuel Fernández-Real

Daniel Esteban Coral Candelo

Hajar Hasannejadasl

Leonard Wee

Vassilios Ioannidis

Reinhard W Holl

Jordi Blanch

Joshi Hogenboom

Niels Peek

Andre Dekker

Gareth Hawkes

David Sebag-Montefiore

Cecile Wolfs

Maryam Kavousi

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