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Results: 9
Number of items: 9
  • Open Access
    van Sonsbeek, T. J. (2025). Combining images and text for improved medical image understanding. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    van Sonsbeek, T., Zhen, X., & Worring, M. (2024). Knowledge Graph Embeddings for Multi-lingual Structured Representations of Radiology Reports. In Y. Xue, C. Chen, L. Zuo, & Y. Liu (Eds.), Data Augmentation, Labelling, and Imperfections: Third MICCAI Workshop, DALI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023 : proceedings (pp. 84–94). (Lecture Notes in Computer Science; Vol. 14379). Springer. https://doi.org/10.1007/978-3-031-58171-7_9
  • van Sonsbeek, T., & Worring, M. (2023). X-TRA: Improving Chest X-ray Tasks with Cross-Modal Retrieval Augmentation. In A. Frangi, M. de Bruijne, D. Wassermann, & N. Navab (Eds.), Information Processing in Medical Imaging: 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18–23, 2023 : proceedings (pp. 471-482). (Lecture Notes in Computer Science; Vol. 13939). Springer. https://doi.org/10.1007/978-3-031-34048-2_36
  • Open Access
    van Sonsbeek, T., Zhen, X., Mahapatra, D., & Worring, M. (2023). Probabilistic Integration of Object Level Annotations in Chest X-ray Classification. In Proceedings, 2023 IEEE Winter Conference on Applications of Computer Vision: 3-7 January 2023, Waikoloa, Hawaii (pp. 3619-3629). (WACV; Vol. 2023). IEEE Computer Society. https://doi.org/10.1109/WACV56688.2023.00362
  • Open Access
    van Sonsbeek, T., Derakhshani, M. M., Najdenkoska, I., Snoek, C. G. M., & Worring, M. (2023). Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models. In H. Greenspan, A. Madabhushi, P. Mousavi, S. Salcudean, J. Duncan, T. Syeda-Mahmood, & R. Taylor (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2023: 26th International Conference, Vancouver, BC, Canada, October 8–12, 2023 : proceedings (Vol. V, pp. 726-736). (Lecture Notes in Computer Science; Vol. 14224). Springer. https://doi.org/10.48550/arXiv.2303.05977, https://doi.org/10.1007/978-3-031-43904-9_70
  • Open Access
    Derakhshani, M. M., Najdenkoska, I., van Sonsbeek, T., Zhen, X., Mahapatra, D., Worring, M., & Snoek, C. G. M. (2022). LifeLonger: A Benchmark for Continual Disease Classification. In L. Wang, Q. Dou, P. T. Fletcher, S. Speidel, & S. Li (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2022: 25th International Conference, Singapore, September 18–22, 2022 : proceedings (Vol. II, pp. 314–324). (Lecture Notes in Computer Science; Vol. 13432). Springer. https://doi.org/10.48550/arXiv.2204.05737, https://doi.org/10.1007/978-3-031-16434-7_31
  • van Sonsbeek, T., Zhen, X., Worring, M., & Shao, L. (2021). Variational Knowledge Distillation for Disease Classification in Chest X-Rays. In A. Feragen, S. Sommer, J. Schnabel, & M. Nielsen (Eds.), Information Processing in Medical Imaging: 27th International Conference, IPMI 2021, virtual event, June 28–June 30, 2021 : proceedings (pp. 334-345). (Lecture Notes in Computer Science; Vol. 12729). Springer. https://doi.org/10.1007/978-3-030-78191-0_26
  • van Sonsbeek, T., & Worring, M. (2020). Towards Automated Diagnosis with Attentive Multi-modal Learning Using Electronic Health Records and Chest X-Rays. In Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures: 10th International Workshop, ML-CDS 2020, and 9th International Workshop, CLIP 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4–8, 2020 : proceedings (pp. 106-114). (Lecture Notes in Computer Science; Vol. 12445). Springer. https://doi.org/10.1007/978-3-030-60946-7_11
  • van Sonsbeek, T., & Cheplygina, V. (2020). Predicting Scores of Medical Imaging Segmentation Methods with Meta-learning. In J. Cardoso, H. V. Nguyen, & N. Heller (Eds.), Interpretable and Annotation-Efficient Learning for Medical Image Computing : Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3ID 2020, and 5th International Workshop, LABELS 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4–8, 2020 : proceedings (pp. 242-253). (Lecture Notes in Computer Science; Vol. 12446). Springer. https://doi.org/10.1007/978-3-030-61166-8_26
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