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Results: 8
Number of items: 8
  • Open Access
    Wang, S., Najdenkoska, I., Zhu, H., Rudinac, S., Kackovic, M., Wijnberg, N. M., & Worring, M. (2025). ArtRAG: Retrieval-Augmented Generation with Structured Context for Visual Art Understanding. In MM '25: Proceedings of the 33rd ACM International Conference on Multimedia : October 27-31, 2025, Dublin Ireland (pp. 6700-6709). Association for Computing Machinery. https://doi.org/10.1145/3746027.3755673
  • Open Access
    Najdenkoska, I. (2025). Learning from context with multimodal foundation models. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
    Bartels, M. G. C., Najdenkoska, I., van de Leur, R. R., Sammani, A., Taha, K., Knigge, D. M., Doevendans, P. A., Worring, M., & van Es, R. (2022). Learning to Automatically Generate Accurate ECG Captions. Proceedings of Machine Learning Research, 172, 86-102. https://proceedings.mlr.press/v172/bartels22a.html
  • Open Access
    Najdenkoska, I., Zhen, X., Worring, M., & Shao, L. (2022). Uncertainty-aware report generation for chest X-rays by variational topic inference. Medical Image Analysis, 82, Article 102603. https://doi.org/10.1016/j.media.2022.102603
  • 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
  • Najdenkoska, I., Zhen, X., Worring, M., & Shao, L. (2021). Variational Topic Inference for Chest X-Ray Report Generation. In M. de Bruijne, P. C. Cattin, S. Cotin, N. Padoy, S. Speidel, Y. Zheng, & C. Essert (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021 : proceedings (Vol. III, pp. 625-635). (Lecture Notes in Computer Science; Vol. 12903). Springer. https://doi.org/10.1007/978-3-030-87199-4_59
  • Open Access
    Najdenkoska, I., den Boef, J., Schneider, T., van der Werf, J., de Ridder, R., Fathurrahman, F., & Worring, M. (2021). GCNIllustrator: Illustrating the Effect of Hyperparameters on Graph Convolutional Networks. In MM '21: Proceedings of the 29th ACM International Conference on Multimedia : October 20-24, 2021, Virtual Event, China (pp. 2807-2809). Association for Computing Machinery. https://doi.org/10.1145/3474085.3478566
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