Improving physical behavior in image registration. - Guillaume Janssens; Jonathan Orban de Xivry; Hugo J. W. L. Aerts; Geert Bosmans; Andre L. A. J. Dekker; Benoît Macq (ICIP, 2008)

Survival Prediction in Lung Cancer Treated with Radiotherapy: Bayesian Networks vs. Support Vector Machines in Handling Missing Data. - Andre Dekker; Cary Dehing-Oberije; Dirk De Ruysscher; Philippe Lambin; Kartik Komati; Glenn Fung; Shipeng Yu; Andrew Hope; Wilfried De Neve; Yolande Lievens (ICMLA, 2009)

The Combination of Clinical, Dose-Related and Imaging Features Helps Predict Radiation-Induced Normal-Tissue Toxicity in Lung-cancer Patients - An in-silico Trial Using Machine Learning Techniques. - Georgi I. Nalbantov; Andre Dekker; Dirk De Ruysscher; Philippe Lambin; Evgueni N. Smirnov (ICMLA (2), 2011)

Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach. - Yuhua Gu; Virendra Kumar; Lawrence O. Hall; Dmitry B. Goldgof; Ching-Yen Li; René Korn; Claus Bendtsen; Emmanuel Rios Velazquez; Andre Dekker; Hugo J. W. L. Aerts; Philippe Lambin; Xiuli Li; et al. (Pattern Recognit., 2013)

Analysis of the Suitability of Existing Medical Ontologies for Building a Scalable Semantic Interoperability Solution Supporting Multi-site Collaboration in Oncology. - Ahmed Ibrahim; Anca I. D. Bucur; Andre Dekker; M. Scott Marshall; David Pérez-Rey; Raúl Alonso-Calvo; Holger Stenzhorn; Sheng Yu 008; Cyril Krykwinski; Anouar Laarif; Keyur Mehta (BIBE, 2014)

Feasibility Estimation for Clinical Trials. - Zhisheng Huang; Frank van Harmelen; Annette ten Teije; Andre Dekker (HEALTHINF, 2014)

Towards a semantic PACS: Using Semantic Web technology to represent imaging data. - Johan van Soest; Tim Lustberg; Detlef Grittner; M. Scott Marshall; Lucas Persoon; Bas Nijsten; Peter Feltens; Andre Dekker (MIE, 2014)

Distributed Learning to Protect Privacy in Multi-centric Clinical Studies. - Andrea Damiani; Mauro Vallati; Roberto Gatta; Nicola Dinapoli; Arthur Jochems; Timo Deist; Johan van Soest; Andre Dekker; Vincenzo Valentini (AIME, 2015)

Information extraction of eligibility criteria for trial enrolment support. - M. Scott Marshall; Johan van Soest; R. Dresens; J. Paulissen; Philippe Lambin; Andre Dekker (MIE, 2015)

XNAT imaging platform for BioMedBridges and CTMM TraIT. - Stefan Klein 001; Erwin Vast; Johan van Soest; Andre Dekker; Marcel Koek; Wiro J. Niessen (J. Clin. Bioinform., 2015)

A Topic-centric Approach to Detecting New Evidences for Evidence-based Medical Guidelines. - Qing Hu 002; Zhisheng Huang; Annette ten Teije; Frank van Harmelen; M. Scott Marshall; Andre Dekker (HEALTHINF, 2016)

The effect of imputing missing clinical attribute values on training lung cancer survival prediction model performance. - Mohamed S. Barakat; Matthew Field; Aditya Ghose; David Stirling; Lois Holloway; Shalini K. Vinod; Andre Dekker; David I. Thwaites (Health Inf. Sci. Syst., 2017)

Fast and Easy Mapping of Relational Data to RDF for Rapid Learning Health Care. - Martine de Vos; Berend Weel; Adriënne M. Mendrik; Andre Dekker; Johan van Soest (eScience, 2018)

Radiation Oncology Terminology Linker: A Step Towards a Linked Data Knowledge Base. - Tim Lustberg; Johan van Soest; Peter Fick; Rianne Fijten; Tim Hendriks; Sander Puts; Andre Dekker (MIE, 2018)

Using the Personal Health Train for Automated and Privacy-Preserving Analytics on Vertically Partitioned Data. - Johan van Soest; Chang Sun 001; Ole Mussmann; Marco Puts; Bob van den Berg; Alexander Malic; Claudia van Oppen; David Townend; Andre Dekker; Michel Dumontier (MIE, 2018)

Analyzing Partitioned FAIR Health Data Responsibly. - Chang Sun 001; Lianne Ippel; Birgit Wouters; Johan van Soest; Alexander Malic; Onaopepo Adekunle; Bob van den Berg; Marco Puts; Ole Mussmann; Annemarie Koster; Carla van der Kallen; David Townend; et al. (CoRR, 2018)

A Privacy-Preserving Infrastructure for Analyzing Personal Health Data in a Vertically Partitioned Scenario. - Chang Sun 001; Lianne Ippel; Johan van Soest; Birgit Wouters; Alexander Malic; Onaopepo Adekunle; Bob van den Berg; Ole Mussmann; Annemarie Koster; Carla van der Kallen; Claudia van Oppen; David Townend; et al. (MedInfo, 2019)

A Feature-Pooling and Signature-Pooling Method for Feature Selection for Quantitative Image Analysis: Application to a Radiomics Model for Survival in Glioma. - Zhenwei Shi; Chong Zhang; Inge Compter; Maikel Verduin; Ann Hoeben; Danielle Eekers; Andre Dekker; Leonard Wee (RNO-AI@MICCAI, 2019)

Annotation of Existing Databases using Semantic Web Technologies: Making Data more FAIR. - Johan van Soest; Ananya Choudhury; Nikhil Gaikwad; Matthijs Sloep; Michel Dumontier; Andre Dekker (SWAT4HCLS, 2019)

Transformation and Integration of Heterogeneous Health Data in a Privacy-preserving Distributed Learning Infrastructure. - Chang Sun 001; Vincent Emonet; Johan van Soest; Annemarie Koster; Andre Dekker; Michel Dumontier (SWAT4HCLS, 2019)

FAIR Quantitative Imaging in Oncology: how Semantic Web and Ontologies will support Reproducible Science. - Alberto Traverso; Zhenwei Shi; Leonard Wee; Andre Dekker (SWAT4HCLS, 2019)

Publishing Linked and FAIR-compliant Radiomics Data in Radiation Oncology via Ontologies and Semantic Web Techniques. - Alberto Traverso; Martin Vallières; Johan van Soest; Leonard Wee; Olivier Morin; Andre Dekker (SWAT4HCLS, 2019)

Towards a modular decision support system for radiomics: A case study on rectal cancer. - Roberto Gatta; Mauro Vallati; Nicola Dinapoli; Carlotta Masciocchi; Jacopo Lenkowicz; Davide Cusumano; Calogero Casà; Alessandra Farchione; Andrea Damiani; Johan van Soest; Andre Dekker; Vincenzo Valentini (Artif. Intell. Medicine, 2019)

Electronic Health Record implementation in a large academic radiotherapy department: Temporarily disruptions but long-term benefits. - Maria Jacobs; Liesbeth J. Boersma; Rachelle Swart; Rob Mannens; Bart Reymen; Fred Körver; Frits van Merode; Andre Dekker (Int. J. Medical Informatics, 2019)

Development and validation of a patient decision aid for prostate Cancer therapy: from paternalistic towards participative shared decision making. - Anshu Ankolekar; Ben G. L. Vanneste; Esther Bloemen-van Gurp; Joep G. van Roermund; Evert J. van Limbergen; Kees van de Beek; Tom Marcelissen; Victor Zambon; Matthias Oelke; Andre Dekker; Cheryl Roumen; Philippe Lambin; et al. (BMC Medical Informatics Decis. Mak., 2019)

Can Atlas-Based Auto-Segmentation Ever Be Perfect? Insights From Extreme Value Theory. - Bas Schipaanboord; Djamal Boukerroui; Devis Peressutti; Johan van Soest; Tim Lustberg; Timor Kadir; Andre Dekker; Wouter van Elmpt; Mark J. Gooding (IEEE Trans. Medical Imaging, 2019)

An Evaluation of Atlas Selection Methods for Atlas-Based Automatic Segmentation in Radiotherapy Treatment Planning. - Bas Schipaanboord; Djamal Boukerroui; Devis Peressutti; Johan van Soest; Tim Lustberg; Andre Dekker; Wouter van Elmpt; Mark J. Gooding (IEEE Trans. Medical Imaging, 2019)

Auto Segmentation of Lung in Non-small Cell Lung Cancer Using Deep Convolution Neural Network. - Ravindra Patil; Leonard Wee; Andre Dekker (ICACDS, 2020)

Non-invasive prediction of lymph node risk in oral cavity cancer patients using a combination of supervised and unsupervised machine learning algorithms. - Alberto Traverso; Ali Hosni-Abdalaty; Mohammad Hasan; Tony Tadic; Tirth Patel; Meredith Giuliani; John Kim; Jolie Ringash; John Cho; Scott V. Bratman; Andrew Bayley; John Waldron; et al. (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

Oropharyngeal Tumour Segmentation Using Ensemble 3D PET-CT Fusion Networks for the HECKTOR Challenge. - Chinmay Rao; Suraj Pai; Ibrahim Hadzic; Ivan Zhovannik; Dennis Bontempi; Andre Dekker; Jonas Teuwen; Alberto Traverso (HECKTOR@MICCAI, 2020)

Implications of Clinicians' Attitudes Towards Clinical Decision Support Systems. - Anshu Ankolekar; Britt van der Heijden; Andre Dekker; Cheryl Roumen; Dirk De Ruysscher; Bart Reymen; Ruud Houben; Peter Fick; Sander Puts; Joeri Veugen; Adriana Berlanga; Cary Oberije; et al. (MIE, 2020)

Personal Health Train on FHIR: A Privacy Preserving Federated Approach for Analyzing FAIR Data in Healthcare. - Ananya Choudhury; Johan van Soest; Stuti Nayak; Andre Dekker (MIND (1), 2020)

Personalized risk prediction for breast cancer pre-screening using artificial intelligence and thermal radiomics. - Siva Teja Kakileti; Himanshu J. Madhu; Geetha Manjunath; Leonard Wee; Andre Dekker; Sudhakar Sampangi (Artif. Intell. Medicine, 2020)

Nine Recommendations for Decision Aid Implementation from the Clinician Perspective. - Anshu Ankolekar; Ben G. L. Vanneste; Esther Bloemen-van Gurp; Joep G. van Roermund; Adriana Berlanga; Cheryl Roumen; Evert J. van Limbergen; Ludy Lutgens; Tom Marcelissen; Philippe Lambin; Andre Dekker; Rianne Fijten (CoRR, 2020)

Distributed Analytics on Sensitive Medical Data: The Personal Health Train. - Oya Beyan; Ananya Choudhury; Johan van Soest; Oliver Kohlbacher; Lukas Zimmermann; Holger Stenzhorn; Md. Rezaul Karim 001; Michel Dumontier; Stefan Decker; Luiz Olavo Bonino da Silva Santos; Andre Dekker (Data Intell., 2020)

Natural Language Processing in Dutch Free Text Radiology Reports: Challenges in a Small Language Area Staging Pulmonary Oncology. - J. Martijn Nobel; Sander Puts; Frans C. H. Bakers; Simon G. F. Robben; André L. A. J. Dekker (J. Digit. Imaging, 2020)

Lung Cancer Diagnosis Using Deep Attention Based on Multiple Instance Learning and Radiomics. - Junhua Chen 002; Haiyan Zeng; Chong Zhang; Zhenwei Shi; Andre Dekker; Leonard Wee; Iñigo Bermejo (CoRR, 2021)

Generative Models Improve Radiomics Reproducibility in Low Dose CTs: A Simulation Study. - Junhua Chen 002; Chong Zhang; Alberto Traverso; Ivan Zhovannik; Andre Dekker; Leonard Wee; Iñigo Bermejo (CoRR, 2021)

A Knowledge graph representation of baseline characteristics for the Dutch proton therapy research registry. - Matthijs Sloep; Petros Kalendralis; Ananya Choudhury; Lerau Seyben; Jasper Snel; Nibin Moni George; Martijn Veening; Johannes A. Langendijk; Andre Dekker; Johan van Soest; Rianne Fijten (CoRR, 2021)

Generative Models Improve Radiomics Performance in Different Tasks and Different Datasets: An Experimental Study. - Junhua Chen 002; Iñigo Bermejo; Andre Dekker; Leonard Wee (CoRR, 2021)

Predicting erectile dysfunction after treatment for localized prostate cancer. - Hajar Hasannejadasl; Cheryl Roumen; Henk van der Poel; Ben G. L. Vanneste; Joep G. van Roermund; Katja Aben; Petros Kalendralis; Biche Osong; Lambertus Kiemeney; Inge M. van Oort; Renée Verwey; Laura Hochstenbach; et al. (CoRR, 2021)

Privacy preserving n-party scalar product protocol. - Florian Van Daalen; Iñigo Bermejo; Lianne Ippel; Andre Dekker (CoRR, 2021)

A systematic review on privacy-preserving distributed data mining. - Chang Sun 001; Lianne Ippel; Andre Dekker; Michel Dumontier; Johan van Soest (Data Sci., 2021)

Deep Learning Automated Segmentation for Muscle and Adipose Tissue from Abdominal Computed Tomography in Polytrauma Patients. - Leanne L. G. C. Ackermans; Leroy Volmer; Leonard Wee; Ralph Brecheisen; Patricia Sánchez-González; Alexander P. Seiffert; Enrique J. Gómez; Andre Dekker; Jan A. Ten Bosch; Steven M. W. Olde Damink; Taco J. Blokhuis (Sensors, 2021)

Building a Radiation Therapy Ontology. - Mark Phillips; Andre Dekker; Charles Mayo; Peter Gabriel; Jonathan P. Bona (ICBO, 2022)

CycleGAN Clinical Image Augmentation Based on Mask Self-Attention Mechanism. - Junzhuo Liu 001; Zhixiang Wang; Ye Zhang; Alberto Traverso; Andre Dekker; Zhen Zhang 058; Qiaosong Chen (IEEE Access, 2022)

Lung-Originated Tumor Segmentation from Computed Tomography Scan (LOTUS) Benchmark. - Parnian Afshar; Arash Mohammadi 001; Konstantinos N. Plataniotis; Keyvan Farahani; Justin S. Kirby; Anastasia Oikonomou; Amir Asif; Leonard Wee; Andre Dekker; Xin Wu; Mohammad Ariful Haque; Shahruk Hossain; et al. (CoRR, 2022)

AI Technical Considerations: Data Storage, Cloud usage and AI Pipeline. - Peter M. A. van Ooijen; Erfan Darzidehkalani; Andre Dekker (CoRR, 2022)

Health literacy in e-oncology care: challenges and strategies. - Hajar Hasannejadasl; Cheryl Roumen; Yolba Smit; Andre Dekker; Rianne Fijten (CoRR, 2022)

VertiBayes: Learning Bayesian network parameters from vertically partitioned data with missing values. - Florian Van Daalen; Lianne Ippel; Andre Dekker; Iñigo Bermejo (CoRR, 2022)

Federated Bayesian Network Ensembles. - Florian Van Daalen; Lianne Ippel; Andre Dekker; Iñigo Bermejo (FMEC, 2023)

Privacy-Preserving Dashboard for F.A.I.R Head and Neck Cancer data supporting multi-centered collaborations. - Varsha Gouthamchand; Ananya Choudhury; Frank Hoebers; Frederik Wesseling; Mattea Welch; Sejin Kim; Benjamin Haibe-Kains; Joanna Kazmierska; Andre Dekker; Johan van Soest; Leonard Wee (SWAT4HCLS, 2023)

Are all shortcuts in encoder-decoder networks beneficial for CT denoising? - Junhua Chen 002; Chong Zhang; Leonard Wee; Andre Dekker; Iñigo Bermejo (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2023)

Frequency-Domain-Based Structure Losses for CycleGAN-Based Cone-Beam Computed Tomography Translation. - Suraj Pai; Ibrahim Hadzic; Chinmay Rao; Ivan Zhovannik; Andre Dekker; Alberto Traverso; Stylianos Asteriadis; Enrique Hortal (Sensors, 2023)

Privacy Preserving $n$n-Party Scalar Product Protocol. - Florian Van Daalen; Lianne Ippel; Andre Dekker; Iñigo Bermejo (IEEE Trans. Parallel Distributed Syst., 2023)

Systematic review and meta-analysis of prediction models used in cervical cancer. - Ashish Kumar Jha 002; Sneha Mithun; Umeshkumar B. Sherkhane; Vinay Jaiswar; Biche Osong; Nilendu Purandare; Sadhana Kannan; Kumar Prabhash; Sudeep Gupta; Ben G. L. Vanneste; Venkatesh Rangarajan; Andre Dekker; et al. (Artif. Intell. Medicine, 2023)

Clinical Concept-Based Radiology Reports Classification Pipeline for Lung Carcinoma. - Sneha Mithun; Ashish Kumar Jha 002; Umeshkumar B. Sherkhane; Vinay Jaiswar; Nilendu Purandare; Andre Dekker; Sander Puts; Iñigo Bermejo; Venkatesh Rangarajan; Catharina M. L. Zegers; Leonard Wee (J. Digit. Imaging, 2023)

GAN-based one dimensional medical data augmentation. - Ye Zhang; Zhixiang Wang; Zhen Zhang 058; Junzhuo Liu 001; Ying Feng; Leonard Wee; Andre Dekker; Qiaosong Chen; Alberto Traverso (Soft Comput., 2023)

External Validation of Robust Radiomic Signature to Predict 2-Year Overall Survival in Non-Small-Cell Lung Cancer. - Ashish Kumar Jha 002; Umeshkumar B. Sherkhane; Sneha Mithun; Vinay Jaiswar; Nilendu Purandare; Kumar Prabhash; Leonard Wee; Venkatesh Rangarajan; Andre Dekker (J. Digit. Imaging, 2023)

MRI-based and metabolomics-based age scores act synergetically for mortality prediction shown by multi-cohort federated learning. - Pedro Mateus; Swier Garst; Jing Yu; Davy Cats; Alexander G. J. Harms; Mahlet A. Birhanu; Marian Beekman; P. Eline Slagboom; Marcel J. T. Reinders; Jeroen van der Grond; Andre Dekker; Jacobus F. A. Jansen; et al. (CoRR, 2024)

A Response to: A Note on "Privacy Preserving n-Party Scalar Product Protocol". - Florian Van Daalen; Lianne Ippel; Andre Dekker; Iñigo Bermejo (CoRR, 2024)

Data harmonization and federated learning for multi-cohort dementia research using the OMOP common data model: A Netherlands consortium of dementia cohorts case study. - Pedro Mateus; Justine E. F. Moonen; Magdalena Beran; Eva Jaarsma; Sophie M. van der Landen; Joost Heuvelink; Mahlet A. Birhanu; Alexander G. J. Harms; Esther Bron; Frank J. Wolters; Davy Cats; Hailiang Mei; et al. (J. Biomed. Informatics, 2024)

SwinHR: Hemodynamic-powered hierarchical vision transformer for breast tumor segmentation. - Zhihe Zhao; Siyao Du; Zeyan Xu; Zhi Yin; Xiaomei Huang; Xin Huang; Chinting Wong; Yanting Liang; Jing Shen; Jianlin Wu; Jinrong Qu; Lina Zhang; et al. (Comput. Biol. Medicine, 2024)

Colorectal cancer health and care quality indicators in a federated setting using the Personal Health Train. - Ananya Choudhury; Esther R. C. Janssen; Bart C. Bongers; Nico L. U. van Meeteren; Andre Dekker; Johan van Soest (BMC Medical Informatics Decis. Mak., 2024)

Operationalizing and digitizing person-centered daily functioning: a case for functionomics. - Esther R. C. Janssen; Ilona M. Punt; Johan van Soest; Yvonne F. Heerkens; Hillegonda A. Stallinga; Huib ten Napel; Lodewijk W. van Rhijn; Barend Mons; Andre Dekker; Paul C. Willems; Nico L. U. van Meeteren (BMC Medical Informatics Decis. Mak., 2024)

A comprehensive experimental comparison between federated and centralized learning. - Swier Garst; Andre Dekker; Marcel J. T. Reinders (Database J. Biol. Databases Curation, 2025)

Data-efficient federated semi-supervised learning framework via pseudo supervision refinement strategy for lung tumor segmentation. - Weixing Li; Xipeng Pan; Zhen Zhang 058; Guangyao Wu; Guanchao Ye; Leonard Wee; Andre Dekker; Chu Han; Lei Shi; Zaiyi Liu; Zhenbing Liu; Zhenwei Shi (Biomed. Signal Process. Control., 2025)

Label-efficient transformer-based framework with self-supervised strategies for heterogeneous lung tumor segmentation. - Zhenbing Liu; Weixing Li; Yanfen Cui; Xin Chen 058; Xipeng Pan; Guanchao Ye; Guangyao Wu; Yongde Liao; Leroy Volmer; Leonard Wee; Andre Dekker; Chu Han; et al. (Expert Syst. Appl., 2025)

A critique of current approaches to privacy in machine learning. - Florian Van Daalen; Marine Jacquemin; Johan van Soest; Nina Stahl; David Townend; Andre Dekker; Iñigo Bermejo (Ethics Inf. Technol., 2025)