Expertise
Engineering & Materials Science
# Health
# Machine Learning
# Quality Assurance
# Radiology
# Sleep
Mathematics
# Breast Cancer
# Quality Assurance
# Sleep
Organisations
Publications
Recent
Nauta, M., Trienes, J.
, Pathak, S., Nguyen, E., Peters, M., Schmitt, Y., Schlötterer, J.
, van Keulen, M.
, & Seifert, C. (2022).
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI. ArXiv.org.
https://doi.org/10.48550/arXiv.2201.08164
Lu, C.
, Pathak, S.
, Englebienne, G.
, & Seifert, C. (2022).
Channel Contribution In Deep Learning Based Automatic Sleep Scoring – How Many Channels Do We Need?
IEEE transactions on neural systems and rehabilitation engineering,
31, 494-505. Advance online publication.
https://doi.org/10.1109/TNSRE.2022.3227040
Yenidogan, B.
, Pathak, S., Geerdink, J., Hegeman, J. H.
, & Van Keulen, M. (2022).
Multimodal Machine Learning for 30-Days Post-Operative Mortality Prediction of Elderly Hip Fracture Patients. In B. Xue, M. Pechenizkiy, & Y. S. Koh (Eds.),
Proceedings - 21st IEEE International Conference on Data Mining Workshops, ICDMW 2021 (pp. 508-516). (IEEE International Conference on Data Mining Workshops, ICDMW; Vol. 2021-December). IEEE.
https://doi.org/10.1109/ICDMW53433.2021.00068
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, Article 102038. Advance online publication.
https://doi.org/10.1016/j.artmed.2021.102038
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). Article 9319371 IEEE.
https://doi.org/10.1109/CogMI50398.2020.00019
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
2020 International Conference on Data Mining Workshops (ICDMW) (pp. 644-650). Article 9346382 (International Conference on Data Mining Workshops (ICDMW); Vol. 2020). IEEE.
https://doi.org/10.1109/ICDMW51313.2020.00091
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), 1-23. Article 5707.
https://doi.org/10.3390/ijerph17165707
Pathak, S., van Rossen, J., Vijlbrief, O., Geerdink, J.
, Seifert, C.
, & van Keulen, M. (2020).
Post-Structuring Radiology Reports of Breast Cancer Patients for Clinical Quality Assurance.
IEEE/ACM Transactions on Computational Biology and Bioinformatics,
17(6), 1883-1894. Article 8705380. Advance online publication.
https://doi.org/10.1109/TCBB.2019.2914678
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). Springer.
https://doi.org/10.1007/978-3-030-37453-2_40
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.
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Contact Details
Visiting Address
University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
(building no. 11), room 4057
Hallenweg 19
7522NH Enschede
The Netherlands
Mailing Address
University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
4057
P.O. Box 217
7500 AE Enschede
The Netherlands