Andre Dekker

Orcid: 0000-0002-0422-7996

According to our database1, Andre Dekker authored at least 62 papers between 2008 and 2024.

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In proceedings 
PhD thesis 


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Operationalizing and digitizing person-centered daily functioning: a case for functionomics.
BMC Medical Informatics Decis. Mak., December, 2024

Colorectal cancer health and care quality indicators in a federated setting using the Personal Health Train.
BMC Medical Informatics Decis. Mak., December, 2024

SwinHR: Hemodynamic-powered hierarchical vision transformer for breast tumor segmentation.
Comput. Biol. Medicine, February, 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.
J. Biomed. Informatics, 2024

External Validation of Robust Radiomic Signature to Predict 2-Year Overall Survival in Non-Small-Cell Lung Cancer.
J. Digit. Imaging, December, 2023

GAN-based one dimensional medical data augmentation.
Soft Comput., August, 2023

Clinical Concept-Based Radiology Reports Classification Pipeline for Lung Carcinoma.
J. Digit. Imaging, June, 2023

Systematic review and meta-analysis of prediction models used in cervical cancer.
Artif. Intell. Medicine, May, 2023

Privacy Preserving $n$n-Party Scalar Product Protocol.
IEEE Trans. Parallel Distributed Syst., April, 2023

Frequency-Domain-Based Structure Losses for CycleGAN-Based Cone-Beam Computed Tomography Translation.
Sensors, February, 2023

Are all shortcuts in encoder-decoder networks beneficial for CT denoising?
Comput. methods Biomech. Biomed. Eng. Imaging Vis., January, 2023

Privacy-Preserving Dashboard for F.A.I.R Head and Neck Cancer data supporting multi-centered collaborations.
Proceedings of the 14th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences (SWAT4HCLS 2023), 2023

Federated Bayesian Network Ensembles.
Proceedings of the Eighth International Conference on Fog and Mobile Edge Computing, 2023

VertiBayes: Learning Bayesian network parameters from vertically partitioned data with missing values.
CoRR, 2022

Health literacy in e-oncology care: challenges and strategies.
CoRR, 2022

AI Technical Considerations: Data Storage, Cloud usage and AI Pipeline.
CoRR, 2022

Lung-Originated Tumor Segmentation from Computed Tomography Scan (LOTUS) Benchmark.
CoRR, 2022

CycleGAN Clinical Image Augmentation Based on Mask Self-Attention Mechanism.
IEEE Access, 2022

Deep Learning Automated Segmentation for Muscle and Adipose Tissue from Abdominal Computed Tomography in Polytrauma Patients.
Sensors, 2021

A systematic review on privacy-preserving distributed data mining.
Data Sci., 2021

Privacy preserving n-party scalar product protocol.
CoRR, 2021

Predicting erectile dysfunction after treatment for localized prostate cancer.
CoRR, 2021

Generative Models Improve Radiomics Performance in Different Tasks and Different Datasets: An Experimental Study.
CoRR, 2021

A Knowledge graph representation of baseline characteristics for the Dutch proton therapy research registry.
CoRR, 2021

Generative Models Improve Radiomics Reproducibility in Low Dose CTs: A Simulation Study.
CoRR, 2021

Lung Cancer Diagnosis Using Deep Attention Based on Multiple Instance Learning and Radiomics.
CoRR, 2021

Natural Language Processing in Dutch Free Text Radiology Reports: Challenges in a Small Language Area Staging Pulmonary Oncology.
J. Digit. Imaging, 2020

Distributed Analytics on Sensitive Medical Data: The Personal Health Train.
Data Intell., 2020

Nine Recommendations for Decision Aid Implementation from the Clinician Perspective.
CoRR, 2020

Personalized risk prediction for breast cancer pre-screening using artificial intelligence and thermal radiomics.
Artif. Intell. Medicine, 2020

Personal Health Train on FHIR: A Privacy Preserving Federated Approach for Analyzing FAIR Data in Healthcare.
Proceedings of the Machine Learning, Image Processing, Network Security and Data Sciences, 2020

Implications of Clinicians' Attitudes Towards Clinical Decision Support Systems.
Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

Oropharyngeal Tumour Segmentation Using Ensemble 3D PET-CT Fusion Networks for the HECKTOR Challenge.
Proceedings of the Head and Neck Tumor Segmentation - First Challenge, 2020

Non-invasive prediction of lymph node risk in oral cavity cancer patients using a combination of supervised and unsupervised machine learning algorithms.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

Auto Segmentation of Lung in Non-small Cell Lung Cancer Using Deep Convolution Neural Network.
Proceedings of the Advances in Computing and Data Sciences - 4th International Conference, 2020

An Evaluation of Atlas Selection Methods for Atlas-Based Automatic Segmentation in Radiotherapy Treatment Planning.
IEEE Trans. Medical Imaging, 2019

Can Atlas-Based Auto-Segmentation Ever Be Perfect? Insights From Extreme Value Theory.
IEEE Trans. Medical Imaging, 2019

Development and validation of a patient decision aid for prostate Cancer therapy: from paternalistic towards participative shared decision making.
BMC Medical Informatics Decis. Mak., 2019

Electronic Health Record implementation in a large academic radiotherapy department: Temporarily disruptions but long-term benefits.
Int. J. Medical Informatics, 2019

Towards a modular decision support system for radiomics: A case study on rectal cancer.
Artif. Intell. Medicine, 2019

Publishing Linked and FAIR-compliant Radiomics Data in Radiation Oncology via Ontologies and Semantic Web Techniques.
Proceedings of the 12th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, 2019

FAIR Quantitative Imaging in Oncology: how Semantic Web and Ontologies will support Reproducible Science.
Proceedings of the 12th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, 2019

Transformation and Integration of Heterogeneous Health Data in a Privacy-preserving Distributed Learning Infrastructure.
Proceedings of the 12th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, 2019

Annotation of Existing Databases using Semantic Web Technologies: Making Data more FAIR.
Proceedings of the 12th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, 2019

A Feature-Pooling and Signature-Pooling Method for Feature Selection for Quantitative Image Analysis: Application to a Radiomics Model for Survival in Glioma.
Proceedings of the Radiomics and Radiogenomics in Neuro-oncology, 2019

A Privacy-Preserving Infrastructure for Analyzing Personal Health Data in a Vertically Partitioned Scenario.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Analyzing Partitioned FAIR Health Data Responsibly.
CoRR, 2018

Using the Personal Health Train for Automated and Privacy-Preserving Analytics on Vertically Partitioned Data.
Proceedings of the Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth, 2018

Radiation Oncology Terminology Linker: A Step Towards a Linked Data Knowledge Base.
Proceedings of the Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth, 2018

Fast and Easy Mapping of Relational Data to RDF for Rapid Learning Health Care.
Proceedings of the 14th IEEE International Conference on e-Science, 2018

The effect of imputing missing clinical attribute values on training lung cancer survival prediction model performance.
Health Inf. Sci. Syst., 2017

A Topic-centric Approach to Detecting New Evidences for Evidence-based Medical Guidelines.
Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016

XNAT imaging platform for BioMedBridges and CTMM TraIT.
J. Clin. Bioinform., 2015

Information extraction of eligibility criteria for trial enrolment support.
Proceedings of the Digital Healthcare Empowering Europeans, 2015

Distributed Learning to Protect Privacy in Multi-centric Clinical Studies.
Proceedings of the Artificial Intelligence in Medicine, 2015

Towards a semantic PACS: Using Semantic Web technology to represent imaging data.
Proceedings of the e-Health - For Continuity of Care - Proceedings of MIE2014, the 25th European Medical Informatics Conference, Istanbul, Turkey, August 31, 2014

Feasibility Estimation for Clinical Trials.
Proceedings of the HEALTHINF 2014, 2014

Analysis of the Suitability of Existing Medical Ontologies for Building a Scalable Semantic Interoperability Solution Supporting Multi-site Collaboration in Oncology.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Bioengineering, 2014

Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach.
Pattern Recognit., 2013

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.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Survival Prediction in Lung Cancer Treated with Radiotherapy: Bayesian Networks vs. Support Vector Machines in Handling Missing Data.
Proceedings of the International Conference on Machine Learning and Applications, 2009

Improving physical behavior in image registration.
Proceedings of the International Conference on Image Processing, 2008