Welcome...

dr. C. Seifert (Christin)

Guest Associate Professor

Expertise

Engineering & Materials Science
Automatic Indexing
Classifiers
Data Mining
Digital Libraries
Machine Learning
Radiology
Semantics
Visualization

Publications

Recent
Papenmeier, A., Hienert, D., Kammerer, Y. , Seifert, C., & Kern, D. (2023). Know What Not To Know: Users’ Perception of Abstaining Classifiers. In Companion Publication of the 2023 ACM Designing Interactive Systems Conference (pp. 169-172). Association for Computing Machinery. https://doi.org/10.1145/3563703.3596622
Nauta, M., Schlötterer, J. , van Keulen, M. , & Seifert, C. (2023). PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image Classification. Abstract from 2nd Explainable AI for Computer Vision Workshop, XAI4CV 2023, Vancouver, British Columbia, Canada.
Borys, K., Schmitt, Y. A. , Nauta, M. , Seifert, C., Krämer, N., Friedrich, C. M., & Nensa, F. (2023). Explainable AI in medical imaging: An overview for clinical practitioners - Saliency-based XAI approaches. European journal of radiology, 162, 110787. https://doi.org/10.1016/j.ejrad.2023.110787
Nauta, M. (2023). Explainable AI and Interpretable Computer Vision: From Oversight to Insight. [PhD Thesis - Research UT, graduation UT, University of Twente]. University of Twente. https://doi.org/10.3990/1.9789036555753
Borys, K., Schmitt, Y. A. , Nauta, M. , Seifert, C., Krämer, N., Friedrich, C. M., & Nensa, F. (2023). Explainable AI in medical imaging: An overview for clinical practitioners – Beyond saliency-based XAI approaches. European journal of radiology, 162, Article 110786. https://doi.org/10.1016/j.ejrad.2023.110786
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, Article 102281. https://doi.org/10.1016/j.artmed.2022.102281

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Contact Details

Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (building no. 11)
Hallenweg 19
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
P.O. Box 217
7500 AE Enschede
The Netherlands