dr. C. Seifert (Christin)

Paalvast, O. , Nauta, M., Koelle, M. , Geerdink, J., Vijlbrief, O. , Hegeman, J. H. , & Seifert, C. (2022). Radiology report generation for proximal femur fractures using deep classification and language generation models. Artificial intelligence in medicine, 128, [102281]. https://doi.org/10.1016/j.artmed.2022.102281

Nauta, M., Walsh, R., Dubowski, A. , & Seifert, C. (2022). Uncovering and Correcting Shortcut Learning in Machine Learning Models for Skin Cancer Diagnosis. Diagnostics, 12(1), [40]. https://doi.org/10.3390/diagnostics12010040

Nauta, M., Jutte, A., Provoost, J. , & Seifert, C. (2022). This Looks Like That, Because.. Explaining Prototypes for Interpretable Image Recognition. In M. Kamp, M. Kamp, I. Koprinska, A. Bibal, T. Bouadi, B. Frénay, L. Galárraga, J. Oramas, L. Adilova, Y. Krishnamurthy, B. Kang, C. Largeron, J. Lijffijt, T. Viard, P. Welke, M. Ruocco, E. Aune, C. Gallicchio, G. Schiele, F. Pernkopf, M. Blott, H. Fröning, G. Schindler, R. Guidotti, A. Monreale, S. Rinzivillo, P. Biecek, E. Ntoutsi, M. Pechenizkiy, B. Rosenhahn, C. Buckley, D. Cialfi, P. Lanillos, M. Ramstead, T. Verbelen, P. M. Ferreira, G. Andresini, D. Malerba, I. Medeiros, P. Fournier-Viger, M. S. Nawaz, S. Ventura, M. Sun, M. Zhou, V. Bitetta, I. Bordino, A. Ferretti, F. Gullo, G. Ponti, L. Severini, R. Ribeiro, J. Gama, R. Gavaldà, L. Cooper, N. Ghazaleh, J. Richiardi, D. Roqueiro, D. Saldana Miranda, K. Sechidis, ... G. Graça (Eds.), Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Proceedings (Vol. 1524, pp. 441-456). (Communications in Computer and Information Science; Vol. 1524 CCIS). Springer Science + Business Media. https://doi.org/10.1007/978-3-030-93736-2_34

Nauta, M., van Bree, R. , & Seifert, C. (2021). Intrinsically Interpretable Image Recognition with Neural Prototype Trees. Abstract from Beyond Fairness: Towards a Just, Equitable, and Accountable Computer Vision, Online Event.

Pathak, S. , Lu, C., Belur Nagaraj, S. , van Putten, M. J. A. M. , & Seifert, C. (2021). STQS: Interpretable multi-modal Spatial-Temporal-seQuential model for automatic Sleep scoring. Artificial intelligence in medicine, 114, [102038]. https://doi.org/10.1016/j.artmed.2021.102038

Libbi, C. A., Trienes, J., Trieschnigg, D. , & Seifert, C. (2021). Generating Synthetic Training Data for Supervised De-Identification of Electronic Health Records. Future Internet, 13(5), [136]. https://doi.org/10.3390/fi13050136

Nauta, M., van Bree, R. , & Seifert, C. (2021). Neural Prototype Trees for Interpretable Fine-Grained Image Recognition. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 14933-14943). IEEE. https://doi.org/10.1109/CVPR46437.2021.01469

Liu, D., Zhu, T., Schlötterer, J. , Seifert, C. , & Wang, S. (2021). Rewriting Fictional Texts Using Pivot Paraphrase Generation and Character Modification. In K. Ekštein, F. Pártl, & M. Konopík (Eds.), Text, Speech, and Dialogue: 24th International Conference, TSD 2021, Olomouc, Czech Republic, September 6-9, 2021 Proceedings (pp. 73-85). (Lecture Notes in Computer Science; Vol. 12848). Springer. https://doi.org/10.1007/978-3-030-83527-9_6

Vries, B. C. S. D. , Hegeman, J. H. , Nijmeijer, W. , Geerdink, J. , Seifert, C. , & Groothuis-Oudshoorn, C. G. M. (2021). 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. Osteoporosis international, 32(3), 437-449. https://doi.org/10.1007/s00198-020-05735-z

Nguyen, E., Theodorakopoulos, D. , Pathak, S., Geerdink, J., Vijlbrief, O. , van Keulen, M. , & Seifert, C. (2021). A Hybrid Text Classification and Language Generation Model for Automated Summarization of Dutch Breast Cancer Radiology Reports. In 2020 IEEE Second International Conference on Cognitive Machine Intelligence (CogMI) (pp. 72-81). [9319371] IEEE. https://doi.org/10.1109/CogMI50398.2020.00019