Andre Dekker
Orcid: 0000-0002-0422-7996
According to our database1,
Andre Dekker
authored at least 58 papers
between 2008 and 2024.
Collaborative distances:
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Bibliography
2024
SwinHR: Hemodynamic-powered hierarchical vision transformer for breast tumor segmentation.
Comput. Biol. Medicine, February, 2024
2023
External Validation of Robust Radiomic Signature to Predict 2-Year Overall Survival in Non-Small-Cell Lung Cancer.
J. Digit. Imaging, December, 2023
J. Digit. Imaging, June, 2023
Artif. Intell. Medicine, May, 2023
IEEE Trans. Parallel Distributed Syst., April, 2023
Frequency-Domain-Based Structure Losses for CycleGAN-Based Cone-Beam Computed Tomography Translation.
Sensors, February, 2023
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
Proceedings of the Eighth International Conference on Fog and Mobile Edge Computing, 2023
2022
VertiBayes: Learning Bayesian network parameters from vertically partitioned data with missing values.
CoRR, 2022
CoRR, 2022
IEEE Access, 2022
2021
Deep Learning Automated Segmentation for Muscle and Adipose Tissue from Abdominal Computed Tomography in Polytrauma Patients.
Sensors, 2021
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
2020
Natural Language Processing in Dutch Free Text Radiology Reports: Challenges in a Small Language Area Staging Pulmonary Oncology.
J. Digit. Imaging, 2020
Data Intell., 2020
CoRR, 2020
Personalized risk prediction for breast cancer pre-screening using artificial intelligence and thermal radiomics.
Artif. Intell. Medicine, 2020
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
2019
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
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
Proceedings of the Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth, 2018
Proceedings of the 14th IEEE International Conference on e-Science, 2018
2017
The effect of imputing missing clinical attribute values on training lung cancer survival prediction model performance.
Health Inf. Sci. Syst., 2017
2016
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
2015
Proceedings of the Digital Healthcare Empowering Europeans, 2015
Proceedings of the Artificial Intelligence in Medicine, 2015
2014
Proceedings of the e-Health - For Continuity of Care - Proceedings of MIE2014, the 25th European Medical Informatics Conference, Istanbul, Turkey, August 31, 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
2013
Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach.
Pattern Recognit., 2013
2011
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
2009
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
2008
Proceedings of the International Conference on Image Processing, 2008