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2020

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., Jun 2020, In : Medical Physics. 47, 5, p. E228-E235 8 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

Distributed learning on 20 000+ lung cancer patients - The Personal Health Train

Deist, T. M., Dankers, F. J. W. M., Ojha, P., Marshall, M. S., Janssen, T., Faivre-Finn, C., Masciocchi, C., Valentini, V., Wang, J., Chen, J., Zhang, Z., Spezi, E., Button, M., Nuyttens, J. J., Vernhout, R., van Soest, J., Jochems, A., Monshouwer, R., Bussink, J., Price, G. & 2 others, Lambin, P. & Dekker, A., Mar 2020, In : Radiotherapy and Oncology. 144, p. 189-200 12 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

External validation and transfer learning of convolutional neural networks for computed tomography dental artifact classification

Welch, M. L., McIntosh, C., Traverso, A., Wee, L., Purdie, T. G., Dekker, A., Haibe-Kains, B. & Jaffray, D. A., Feb 2020, In : Physics in Medicine and Biology. 65, 3, 11 p., 035017.

Research output: Contribution to journalArticleAcademicpeer-review

Machine learning helps identifying volume-confounding effects in radiomics

Traverso, A., Kazmierski, M., Zhovannik, I., Welch, M., Wee, L., Jaffray, D., Dekker, A. & Hope, A., Mar 2020, In : Physica Medica: European journal of medical physics. 71, p. 24-30 7 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

Predicting Lung Cancer Survival Using Probabilistic Reclassification of TNM Editions With a Bayesian Network

Sieswerda, M. S., Bermejo, I., Geleijnse, G., Aarts, M. J., Lemmens, V. E. P. P., De Ruysscher, D., Dekker, A. L. A. J. & Verbeek, X. A. A. M., 11 May 2020, In : JCO Clinical Cancer Informatics. 4, p. 436-443 8 p.

Research output: Contribution to journalArticleAcademicpeer-review

Sensitivity of radiomic features to inter-observer variability and image pre-processing in Apparent Diffusion Coefficient (ADC) maps of cervix cancer patients

Traverso, A., Kazmierski, M., Welch, M. L., Weiss, J., Fiset, S., Foltz, W. D., Gladwish, A., Dekker, A., Jaffray, D., Wee, L. & Han, K., Feb 2020, In : Radiotherapy and Oncology. 143, p. 88-94 7 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

User-controlled pipelines for feature integration and head and neck radiation therapy outcome predictions

Welch, M. L., McIntosh, C., McNiven, A., Huang, S. H., Zhang, B-B., Wee, L., Traverso, A., O'Sullivan, B., Hoebers, F., Dekker, A. & Jaffray, D. A., Feb 2020, In : Physica Medica: European journal of medical physics. 70, p. 145-152 8 p.

Research output: Contribution to journalArticleAcademicpeer-review

2019

An Evaluation of Atlas Selection Methods for Atlas-Based Automatic Segmentation in Radiotherapy Treatment Planning

Schipaanboord, B., Boukerroui, D., Peressutti, D., van Soest, J., Lustberg, T., Dekker, A., van Elmpt, W. & Gooding, M. J., Nov 2019, In : Ieee Transactions on Medical Imaging. 38, 11, p. 2654-2664 11 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

A Privacy-Preserving Infrastructure for Analyzing Personal Health Data in a Vertically Partitioned Scenario

Sun, C., Ippel, L., van Soest, J., Wouters, B., Malic, A., Adekunle, O., van den Berg, B., Mussmann, O., Koster, A., van der Kallen, C., van Oppen, C., Townend, D., Dekker, A. & Dumontier, M., 21 Aug 2019, In : Studies in Health Technology and Informatics. 264, p. 373-377 5 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

ASTRO Journals' Data Sharing Policy and Recommended Best Practices

Tegbaru, D., Braverman, L., Zietman, A. L., Yom, S. S., Lee, W. R., Miller, R. C., Jackson, I. L., McNutt, T. & Dekker, A., 2019, In : Advances in Radiation Oncology. 4, 4, p. 551-558 8 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

Burden of disease in children with respiratory tract infections in primary care: diary-based cohort study

Schot, M. J. C., Dekker, A. R. J., van Werkhoven, C. H., van der Velden, A. W., Cals, J. W. L., Broekhuizen, B. D. L., Hopstaken, R. M., de Wit, N. J. & Verheij, T. J. M., Dec 2019, In : Family Practice. 36, 6, p. 723-729 7 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

Can Atlas-Based Auto-Segmentation Ever Be Perfect? Insights From Extreme Value Theory

Schipaanboord, B., Boukerroui, D., Peressutti, D., van Soest, J., Lustberg, T., Kadir, T., Dekker, A., van Elmpt, W. & Gooding, M., Jan 2019, In : Ieee Transactions on Medical Imaging. 38, 1, p. 99-106 8 p.

Research output: Contribution to journalArticleAcademicpeer-review

De-Identification of Protected Health Information PHI from Free Text in Medical Records.

Mahadevalah, G., Dinesh, M. S., Moin, S. & Dekker, A., May 2019, In : International Journal of Security, Privacy and Trust Management. 8, 1/2, p. 1-11 11 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

Development and validation of a patient decision aid for prostate Cancer therapy: from paternalistic towards participative shared decision making

Ankolekar, A., Vanneste, B. G. L., Bloemen-van Gurp, E., van Roermund, J. G., van Limbergen, E. J., van de Beek, K., Marcelissen, T., Zambon, V., Oelke, M., Dekker, A., Roumen, C., Lambin, P., Berlanga, A. & Fijten, R., 11 Jul 2019, In : BMC Medical Informatics and Decision Making. 19, 11 p., 130.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

Distributed radiomics as a signature validation study using the Personal Health Train infrastructure

Shi, Z., Ivan Zhovannik, I., Traverso, A., Dankers, F., Deist, T., Kalendralis, P., Monshouwer, R., Bussink, J., Fijten, R., Aerts, H., Dekker, A. & Wee, L., 22 Oct 2019, In : Scientific data. 6, 8 p., 218.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
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Electronic Health Record implementation in a large academic radiotherapy department: Temporarily disruptions but long-term benefits

Jacobs, M., Boersma, L. J., Swart, R., Mannens, R., Reymen, B., Korver, F., van Merode, F. & Dekker, A., Sep 2019, In : International Journal of Medical Informatics. 129, p. 342-348 7 p.

Research output: Contribution to journalArticleAcademicpeer-review

External validation of a prognostic model incorporating quantitative PET image features in oesophageal cancer

Foley, K. G., Shi, Z., Whybra, P., Kalendralis, P., Larue, R., Berbee, M., Sosef, M. N., Parkinson, C., Staffurth, J., Crosby, T. D. L., Roberts, S. A., Dekker, A., Wee, L. & Spezi, E., Apr 2019, In : Radiotherapy and Oncology. 133, p. 205-212 8 p.

Research output: Contribution to journalArticleAcademicpeer-review

External Validation of Radiation-Induced Dyspnea Models on Esophageal Cancer Radiotherapy Patients

Shi, Z., Foley, K. G., de Mey, J. P., Spezi, E., Whybra, P., Crosby, T., van Soest, J., Dekker, A. & Wee, L., 16 Dec 2019, In : Frontiers in Oncology. 9, 9 p., 1411.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

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., Nov 2019, In : Clinical and Translational Radiation Oncology. 19, p. 33-38 6 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

Minimum Data Elements for Radiation Oncology: An American Society for Radiation Oncology Consensus Paper

Hayman, J. A., Dekker, A., Feng, M., Keole, S. R., McNutt, T. R., Machtay, M., Martin, N. E., Mayo, C. S., Pawlicki, T., Smith, B. D., Kudner, R., Dawes, S. & Yu, J. B., Nov 2019, In : Practical radiation oncology. 9, 6, p. 395-401 7 p.

Research output: Contribution to journalArticleAcademicpeer-review

Multicenter CT phantoms public dataset for radiomics reproducibility tests

Kalendralis, P., Traverso, A., Shi, Z., Zhovannik, I., Monshouwer, R., Starmans, M. P. A., Klein, S., Pfaehler, E., Boellaard, R., Dekker, A. & Wee, L., Mar 2019, In : Medical Physics. 46, 3, p. 1512-1518 7 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

Stability of radiomic features of apparent diffusion coefficient (ADC) maps for locally advanced rectal cancer in response to image pre-processing

Traverso, A., Kazmierski, M., Shi, Z., Kalendralis, P., Welch, M., Nissen, H. D., Jaffray, D., Dekker, A. & Wee, L., May 2019, In : Physica Medica: European journal of medical physics. 61, p. 44-51 8 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

Technical Note: Ontology-guided radiomics analysis workflow (O-RAW)

Shi, Z., Traverso, A., van Soest, J., Dekker, A. & Wee, L., Dec 2019, In : Medical Physics. 46, 12, p. 5677-5684 8 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

Towards a modular decision support system for radiomics: A case study on rectal cancer

Gatta, R., Vallati, M., Dinapoli, N., Masciocchi, C., Lenkowicz, J., Cusumano, D., Casa, C., Farchione, A., Damiani, A., van Soest, J., Dekker, A. & Valentini, V., May 2019, In : Artificial Intelligence in Medicine. 96, p. 145-153 9 p.

Research output: Contribution to journalArticleAcademicpeer-review

Vulnerabilities of radiomic signature development: The need for safeguards

Welch, M. L., McIntosh, C., Haibe-Kains, B., Milosevic, M. F., Wee, L., Dekker, A., Huang, S. H., Purdie, T. G., O'Sullivan, B., Aerts, H. J. W. L. & Jaffray, D. A., Jan 2019, In : Radiotherapy and Oncology. 130, p. 2-9 8 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
2018

A method to combine target volume data from 3D and 4D planned thoracic radiotherapy patient cohorts for machine learning applications

Johnson, C., Price, G., Khalifa, J., Faivre-Finn, C., Dekker, A., Moore, C. & van Herk, M., 1 Feb 2018, In : Radiotherapy and Oncology. 126, 2, p. 355-361 7 p.

Research output: Contribution to journalArticleAcademicpeer-review

Analyzing Partitioned FAIR Health Data Responsibly

Sun, C., Ippel, L., Wouters, B., Soest, J. V., Malic, A., Adekunle, O., Berg, B. V. D., Puts, M., Mussmann, O., Koster, A., Kallen, C. V. D., Townend, D., Dekker, A. & Dumontier, M., 2 Dec 2018, In : arXiv . p. 1-6 6 p.

Research output: Contribution to journalArticleAcademic

A prediction model for early death in non-small cell lung cancer patients following curative-intent chemoradiotherapy

Jochems, A., El-Naqa, I., Kessler, M., Mayo, C. S., Jolly, S., Matuszak, M., Faivre-Finn, C., Price, G., Holloway, L., Vinod, S., Field, M., Barakat, M. S., Thwaites, D., de Ruysscher, D., Dekker, A. & Lambin, P., Feb 2018, In : Acta Oncologica. 57, 2, p. 226-230 5 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017

Yang, J., Veeraraghavan, H., Armato, S. G., Farahani, K., Kirby, J. S., Kalpathy-Kramer, J., van Elmpt, W., Dekker, A., Han, X., Feng, X., Aljabar, P., Oliveira, B., van der Heyden, B., Zamdborg, L., Lam, D., Gooding, M. & Sharp, G. C., Oct 2018, In : Medical Physics. 45, 10, p. 4568-4581 14 p.

Research output: Contribution to journalArticleAcademicpeer-review

Clinical evaluation of atlas and deep learning based automatic contouring for lung cancer

Lustberg, T., van Soest, J., Gooding, M., Peressutti, D., Aljabar, P., van der Stoep, J., van Elmpt, W. & Dekker, A., 1 Feb 2018, In : Radiotherapy and Oncology. 126, 2, p. 312-317 6 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

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., de Rooy, M., Wanders, R., Peeters, S., Lustberg, T., van Soest, J., Dekker, A. & van Elmpt, W., Nov 2018, In : Medical Physics. 45, 11, p. 5105-5115 11 p.

Research output: Contribution to journalArticleAcademicpeer-review

External validation of an NTCP model for acute esophageal toxicity in locally advanced NSCLC patients treated with intensity-modulated (chemo-)radiotherapy

Dankers, F. J. W. M., Wijsman, R., Troost, E. G. C., Tissing-Tan, C. J. A., Kwint, M. H., Belderbos, J., De Ruysscher, D., Hendriks, L. E., de Geus-Oei, L-F., Rodwell, L., Dekker, A., Monshouwer, R., Hoffmann, A. L. & Bussink, J., Nov 2018, In : Radiotherapy and Oncology. 129, 2, p. 249-256 8 p.

Research output: Contribution to journalArticleAcademicpeer-review

Fractal-based radiomic approach to predict complete pathological response after chemo-radiotherapy in rectal cancer

Cusumano, D., Dinapoli, N., Boldrini, L., Chiloiro, G., Gatta, R., Masciocchi, C., Lenkowicz, J., Casa, C., Damiani, A., Azario, L., Van Soest, J., Dekker, A., Lambin, P., De Spirito, M. & Valentini, V., 1 Apr 2018, In : Radiologia medica. 123, 4, p. 286-295 10 p.

Research output: Contribution to journalArticleAcademicpeer-review

Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers

Deist, T. M., Dankers, F. J. W. M., Valdes, G., Wijsman, R., Hsu, I-C., Oberije, C., Lustberg, T., van Soest, J., Hoebers, F., Jochems, A., El Naqa, I., Wee, L., Morin, O., Raleigh, D. R., Bots, W., Kaanders, J. H., Belderbos, J., Kwint, M., Solberg, T., Monshouwer, R. & 3 others, Bussink, J., Dekker, A. & Lambin, P., 1 Jul 2018, In : Medical Physics. 45, 7, p. 3449-3459 11 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

Machine learning and modeling: Data, validation, communication challenges

El Naqa, I., Ruan, D., Valdes, G., Dekker, A., McNutt, T., Ge, Y., Wu, Q. J., Oh, J. H., Thor, M., Smith, W., Rao, A., Fuller, C., Xiao, Y., Manion, F., Schipper, M., Mayo, C., Moran, J. M. & Ten Haken, R., Oct 2018, In : Medical Physics. 45, 10, p. E834-E840 7 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

Magnetic Resonance, Vendor-independent, Intensity Histogram Analysis Predicting Pathologic Complete Response After Radiochemotherapy of Rectal Cancer

Dinapoli, N., Barbaro, B., Gatta, R., Chiloiro, G., Casa, C., Masciocchi, C., Damiani, A., Boldrini, L., Gambacorta, M. A., Dezio, M., Mattiucci, G. C., Balducci, M., van Soest, J., Dekker, A., Lambin, P., Fiorino, C., Sini, C., De Cobelli, F., Di Muzio, N., Gumina, C. & 3 others, Passoni, P., Manfredi, R. & Valentini, V., 15 Nov 2018, In : International Journal of Radiation Oncology Biology Physics. 102, 4, p. 765-774 10 p.

Research output: Contribution to journalArticleAcademicpeer-review

PRELIMINARY DATA ANALYSIS IN HEALTHCARE MULTICENTRIC DATA MINING: A PRIVACY-PRESERVING DISTRIBUTED APPROACH

Damiani, A., Masciocchi, C., Boldrini, L., Gatta, R., Dinapoli, N., Lenkowicz, J., Chiloiro, G., Gambacorta, M. A., Tagliaferri, L., Autorino, R., Pagliara, M. M., Blasi, M. A., van Soest, J., Dekker, A. & Valentini, V., 1 Jan 2018, In : Journal of E-Learning and Knowledge Society. 14, 1, p. 71-81 11 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

The radiation oncology ontology (ROO): Publishing linked data in radiation oncology using semantic web and ontology techniques

Traverso, A., van Soest, J., Wee, L. & Dekker, A., Oct 2018, In : Medical Physics. 45, 10, p. E854-E862 9 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

Towards a Clinical Decision Support System for External Beam Radiation Oncology Prostate Cancer Patients: Proton vs. Photon Radiotherapy? A Radiobiological Study of Robustness and Stability

Walsh, S., Roelofs, E., Kuess, P., van Wijk, Y., Vanneste, B., Dekker, A., Lambin, P., Jones, B., Georg, D. & Verhaegen, F., 1 Feb 2018, In : Cancers. 10, 2, 16 p., 55.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

Treatment data and technical process challenges for practical big data efforts in radiation oncology

Mayo, C. S., Phillips, M., McNutt, T. R., Palta, J., Dekker, A., Miller, R. C., Xiao, Y., Moran, J. M., Matuszak, M. M., Gabriel, P., Ayan, A. S., Prisciandaro, J., Thor, M., Dixit, N., Popple, R., Killoran, J., Kaleba, E., Kantor, M., Ruan, D., Kapoor, R. & 2 others, Kessler, M. L. & Lawrence, T. S., Oct 2018, In : Medical Physics. 45, 10, p. E793-E810 18 p.

Research output: Contribution to journalArticleAcademicpeer-review

2017

Developing and Validating a Survival Prediction Model for NSCLC Patients Through Distributed Learning Across 3 Countries

Jochems, A., Deist, T. M., El Naqa, I., Kessler, M., Mayo, C., Reeves, J., Jolly, S., Matuszak, M., Ten Haken, R., van Soest, J., Oberije, C., Faivre-Finn, C., Price, G., de Ruysscher, D., Lambin, P. & Dekker, A., 1 Oct 2017, In : International Journal of Radiation Oncology Biology Physics. 99, 2, p. 344-352 9 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

Infrastructure and distributed learning methodology for privacy-preserving multi-centric rapid learning health care: euroCAT

Deist, T., Jochems, A., van Soest, J., Nalbantov, G., Oberije, C., Walsh, S., Eble, M., Bulens, P., Coucke, P., Dries, W., Dekker, A. & Lambin, P., Jun 2017, In : Clinical and Translational Radiation Oncology. 4, p. 24-31 8 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

PRODIGE: PRediction models in prOstate cancer for personalized meDIcine challenGE

Alitto, A. R., Gatta, R., Vanneste, B. G. L., Vallati, M., Meldolesi, E., Damiani, A., Lanzotti, V., Mattiucci, G. C., Frascino, V., Masciocchi, C., Catucci, F., Dekker, A., Lambin, P., Valentini, V. & Mantini, G., Oct 2017, In : Future Oncology. 13, 24, p. 2171-2181 11 p.

Research output: Contribution to journalArticleAcademicpeer-review

Prospective validation of pathologic complete response models in rectal cancer: Transferability and reproducibility

van Soest, J., Meldolesi, E., van Stiphout, R., Gatta, R., Damiani, A., Valentini, V., Lambin, P. & Dekker, A., 2017, In : Medical Physics. 44, 9

Research output: Contribution to journalArticleAcademicpeer-review

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., 6 Dec 2017, In : Health information science and systems. 5, 11 p., 16.

Research output: Contribution to journalArticleAcademicpeer-review

2016

Development and evaluation of an online three-level proton vs photon decision support prototype for head and neck cancer - Comparison of dose, toxicity and cost-effectiveness

Cheng, Q., Roelofs, E., Ramaekers, B. L. T., Eekers, D., van Soest, J., Lustberg, T., Hendriks, T., Hoebers, F., van der Laan, H. P., Korevaar, E. W., Dekker, A., Langendijk, J. A. & Lambin, P., Feb 2016, In : Radiotherapy and Oncology. 118, 2, p. 281-285

Research output: Contribution to journalArticleAcademicpeer-review

7 Citations (Scopus)

Distributed learning: Developing a predictive model based on data from multiple hospitals without data leaving the hospital – A real life proof of concept

Jochems, A., Deist, T. M., van Soest, J., Eble, M., Bulens, P., Coucke, P., Dries, W., Lambin, P. & Dekker, A., Dec 2016, In : Radiotherapy and Oncology. 121, 3, p. 459-467 9 p.

Research output: Contribution to journalArticleAcademicpeer-review

How efficient is translational research in radiation oncology? The example of a large Dutch academic radiation oncology department

Jacobs, M., Boersma, L., Merode, F. V., Dekker, A., Verhaegen, F., Linden, L. & Lambin, P., 2016, In : British Journal of Radiology. 89, 1064, 20160129.

Research output: Contribution to journalArticleAcademicpeer-review

Implementation of a rapid learning platform: Predicting 2-year survival in laryngeal carcinoma patients in a clinical setting.

Lustberg, T., Bailey, M., Thwaites, D. I., Miller, A., Carolan, M., Holloway, L., Rios Velazquez, E., Hoebers, F. & Dekker, A., 15 Apr 2016, In : OncoTarget. 7, 24, p. 37288-37296

Research output: Contribution to journalArticleAcademicpeer-review

Standardized data collection to build prediction models in oncology: a prototype for rectal cancer.

Meldolesi, E., van Soest, J., Damiani, A., Dekker, A., Alitto, A. R., Campitelli, M., Dinapoli, N., Gatta, R., Gambacorta, M. A., Lanzotti, V., Lambin, P. & Valentini, V., 2016, In : Future Oncology. 12, 1, p. 119-136 18 p.

Research output: Contribution to journalArticleAcademicpeer-review

5 Citations (Scopus)