Research output per year
Research output per year
Personal profile
External positions
Researcher, Ziekenhuisgroep Twente (ZGT)
Keywords
- QA76 Computer software
- RD Surgery
Artificial Intelligence Expert
- Deep Learning
- Health and Well-being
- Human AI Interaction
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Dive into the research topics where Jorn-Jan van de Beld is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Complication Prediction after Esophagectomy with Machine Learning
van de Beld, J.-J., Crull, D., Mikhal, J., Geerdink, J., Veldhuis, A., Poel, M. & Kouwenhoven, E. A., 17 Feb 2024, In: Diagnostics. 14, 4, 439.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Citation (Scopus)59 Downloads (Pure) -
Feature Importance to Explain Multimodal Prediction Models: a Clinical Use Case
van de Beld, J.-J., Pathak, S., Geerdink, J., Hegeman, J. H. & Seifert, C., 10 Jul 2024, Explainable Artificial Intelligence: Second World Conference, xAI 2024. Valletta, Malta, July 17-19, 2024. Proceedings, Part IV. Longo, L., Lapuschkin, S. & Seifert, C. (eds.). Cham, Switzerland: Springer Nature, p. 84-101 18 p. (Communications in Computer and Information Science; vol. 2156).Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review
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Feature importance to explain multimodal prediction models. A clinical use case
van de Beld, J.-J., Pathak, S., Geerdink, J., Hegeman, J. H. & Seifert, C., 29 Apr 2024, ArXiv.org.Research output: Working paper › Preprint › Academic
Open AccessFile