Dekker, Andre

Radiomics: the bridge between medical imaging and personalized medicine

Lambin, P., Leijenaar, R. T. H., Deist, T. M., Peerlings, J., de Jong, E. E. C., van Timmeren, J., Sanduleanu, S., Larue, R. T. H. M., Even, A. J. G., Jochems, A., et al. (2017) · Nature Reviews Clinical Oncology

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Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

Aerts, H. J. W. L., Velazquez, E. R., Leijenaar, R. T. H., Parmar, C., Grossmann, P., Carvalho, S., Bussink, J., Monshouwer, R., Haibe-Kains, B., Rietveld, D., et al. (2014) · Nature Communications

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Radiomics: the process and the challenges

Kumar, V., Gu, Y., Basu, S., Berglund, A., Eschrich, S. A., Schabath, M. B., Forster, K., Aerts, H. J. W. L., Dekker, A., Fenstermacher, D., et al. (2012) · Magnetic Resonance Imaging

Radiomics and Machine Learning in Medical ImagingImage Retrieval and Classification Techniques

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Quantitative Computed Tomographic Descriptors Associate Tumor Shape Complexity and Intratumor Heterogeneity with Prognosis in Lung Adenocarcinoma

Grove, O., Berglund, A. E., Schabath, M. B., Aerts, H. J. W. L., Dekker, A., Wang, H., Velazquez, E. R., Lambin, P., Gu, Y., Balagurunathan, Y., et al. (2015) · PLOS ONE

Radiomics and Machine Learning in Medical ImagingAI in cancer detection

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A semiautomatic CT-based ensemble segmentation of lung tumors: Comparison with oncologists’ delineations and with the surgical specimen

Rios Velazquez, E., Aerts, H. J. W. L., Gu, Y., Goldgof, D. B., De Ruysscher, D., Dekker, A., Korn, R., Gillies, R. J., & Lambin, P. (2012) · Radiotherapy and Oncology

Medical Image Segmentation TechniquesLung Cancer Diagnosis and Treatment

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Artificial intelligence-based clinical decision support in modern medical physics: Selection, acceptance, commissioning, and quality assurance

Mahadevaiah, G., RV, P., Bermejo, I., Jaffray, D., Dekker, A., & Wee, L. (2020) · Medical Physics

Artificial Intelligence in Healthcare and EducationElectronic Health Records Systems

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

Gooding, M. J., Smith, A. J., Tariq, M., Aljabar, P., Peressutti, D., van der Stoep, J., Reymen, B., Emans, D., Hattu, D., van Loon, J., et al. (2018) · Medical Physics

Medical Image Segmentation TechniquesAdvanced Radiotherapy Techniques

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Learning from scanners: Bias reduction and feature correction in radiomics

Zhovannik, I., Bussink, J., Traverso, A., Shi, Z., Kalendralis, P., Wee, L., Dekker, A., Fijten, R., & Monshouwer, R. (2019) · Clinical and Translational Radiation Oncology

Radiomics and Machine Learning in Medical ImagingMedical Imaging Techniques and Applications

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Assessing the role of GPT-4 in thyroid ultrasound diagnosis and treatment recommendations: enhancing interpretability with a chain of thought approach

Wang, Z., Zhang, Z., Traverso, A., Dekker, A., Qian, L., & Sun, P. (2024) · Quantitative Imaging in Medicine and Surgery

Artificial Intelligence in Healthcare and EducationThyroid Cancer Diagnosis and Treatment

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Data harmonization and federated learning for multi-cohort dementia research using the OMOP common data model: a Netherlands consortium of dementia cohorts case study

Mateus, P., Moonen, J., Beran, M., Jaarsma, E., van der Landen, S. M., Heuvelink, J., Birhanu, M., Harms, A. G. J., Bron, E., Wolters, F. J., et al. (2024) · Journal of Biomedical Informatics

Privacy-Preserving Technologies in DataResearch Data Management Practices

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The effect of imputing missing clinical attribute values on training lung cancer survival prediction model performance

Barakat, M. S., Field, M., Ghose, A., Stirling, D., Holloway, L., Vinod, S., Dekker, A., & Thwaites, D. (2017) · Health Information Science and Systems

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