Workshops and Peer-reviewed Journals

Paalvast,O., Nauta,N., Koelle M., Geerdink,J., Vijlbrief,O., Hegeman, J.H. ,Seifert,C. Radiology report generation for proximal femur fractures using deep classification and language generation models. Artificial Intelligence in Medicine Volume 128, June 2022, https://www.sciencedirect.com/science/article/pii/S093336572200046X

Yenidogan, B., Pathak, S., Geerdink J., Hegeman, J.H., Van Keulen, M. Multimodal Machine Learning for 30-Days Post-Operative Mortality Prediction of Elderly Hip Fracture Patients. 2021 International Conference on Data Mining Workshops (ICDMW) https://ieeexplore.ieee.org/document/9679894

de Vries, BCS, Hegeman J.H., Nijmeijer W.S., Geerdink J., Seifert C., Groothuis-Oudshoorn, C.G.M. Comparing three machine learning approaches to design a risk assessment tool for future fractures: predicting a subsequent major osteoporotic fracture in fracture patients with osteopenia and osteoporosis. Osteoporos Int. 2021 Mar;32(3):437-449. https://link.springer.com/article/10.1007/s00198-020-05735-z

 Ruis, F., Pathak, S., Geerdink, J., Hegeman, J. H., Seifert, C., & van Keulen, M. (2020). Human-in-the-loop Language-agnostic Extraction of Medication Data from Highly Unstructured Electronic Health Records. In 20th International Conference on Data Mining Workshops 2020 IEEE EDS.

Marazza, F., Bukhsh, F. A., Geerdink, J., Vijlbrief, O., Pathak, S., van Keulen, M., & Seifert, C. (2020). Automatic Process Comparison for Subpopulations: Application in Cancer Care. International journal of environmental research and public health, 17(16), [5707]. https://doi.org/10.3390/ijerph17165707

Nauta, M., Paalvast O.T., Geerdink, J., Vijlbrief O.D., Seifert, C. & Hegeman, J.H.  Neurale netwerken spelen vals bij het detecteren van heupfracturen in röntgenfoto’s, Abstract NVvH Chirurgendagen 2020. http://2020.chirurgendagen.nl/abstracts/preview/171/1139

Marin, M. D., Mocanu, E., & Seifert, C. (2020). Effectiveness of neural language models for word prediction of textual mammography reports. In Proceedings IEEE International Conference on Systems, Man, and Cybernetics 2020 IEEE SMC.

Pathak, S., van Rossen, J., Vijlbrief, O., Geerdink, J., Seifert, C., & van Keulen, M. (2019). Post-Structuring Radiology Reports of Breast Cancer Patients for Clinical Quality Assurance. IEEE/ACM Transactions on Computational Biology and Bioinformatics. https://ieeexplore.ieee.org/document/8705380

Marazza, F., Bukhsh, F. A., Vijlbrief, O., Geerdink, J., Pathak, S., van Keulen, M., & Seifert, C. (2019). Comparing Process Models for Patient Populations: Application in Breast Cancer Care. Paper presented at International Workshop Process-Oriented Data Science for Healthcare 2019, Vienna, Austria.

Marazza, F., Bukhsh, F. A., Vijlbrief, O., Geerdink, J., Pathak, S., van Keulen, M., & Seifert, C. (2019). Comparing Process Models for Patient Populations: Application in Breast Cancer Care. In C. Di Francescomarino, R. Dijkman, & U. Zdun (Eds.), Business Process Management Workshops – BPM 2019 International Workshops, Revised Selected Papers (pp. 496-507). (Lecture Notes in Business Information Processing; Vol. 362). Cham: Springer. https://doi.org/10.1007/978-3-030-37453-2_40

Pathak, S., van Rossen, J., Vijlbrief, O., Geerdink, J., Seifert, C., & van Keulen, M. (2018). Automatic structuring of breast cancer radiology reports for quality assurance. In J. Yu, Z. Li, H. Tong, & F. Zhu (Eds.), Proceedings of the Workshop on Data Mining in Biomedical Informatics and Healthcare (DMBIH 2018) (Vol. 2018-November, pp. 732-739). [8637387] IEEE Computer Society. https://doi.org/10.1109/ICDMW.2018.00111

Van Keulen, M., Geerdink, J., Linssen, G. C. M., Slart, R. H. J. A., & Vijlbrief, O. (2017). Exploiting Natural Language Processing for Improving Health Processes. In P. Ceravolo, M. van Keulen, & K. Stoffel (Eds.), Proceedings of the 7th International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA 2017) (pp. 145-146). (CEUR Workshop Proceedings; Vol. 2016). CEUR.