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Results: 370
Number of items: 370
  • 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
    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
  • Open Access
    Macarulla Rodriguez, A., Geradts, Z., & Worring, M. (2022). Calibration of score based likelihood ratio estimation in automated forensic facial image comparison. Forensic Science International, 334, Article 111239. https://doi.org/10.1016/j.forsciint.2022.111239
  • Open Access
    Shao, L., Shen, J., Worring, M., & Zhen, X. (2022). Variational Multi-Task Learning with Gumbel-Softmax Priors. In M. Ranzato, A. Beygelzimer, Y. Dauphin, P. S. Liang, & J. Wortman Vaughan (Eds.), 35th Conference on Neural Information Processing Systems (NeurIPS 2021) : online, 6-14 December 2021 (Vol. 25, pp. 21031-21042). (Advances in Neural Information Processing Systems; Vol. 34). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper_files/paper/2021/hash/afd4836712c5e77550897e25711e1d96-Abstract.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
  • Huang, J.-H., Wu, T.-W., Yang, C.-HH., & Worring, M. (2021). Deep context-encoding network for retinal image captioning. In 2021 IEEE International Conference on Image Processing: proceedings : 19-22 September 2021, Anchorage, Alaska, USA (pp. 3762-3766). (ICIP). IEEE. https://doi.org/10.1109/ICIP42928.2021.9506803
  • Huang, J.-H., Yang, C.-HH., Liu, F., Tian, M., Liu, Y.-C., Wu, T.-W., Lin, I.-H., Wang, K., Morikawa, H., Chang, H., Tegner, J., & Worring, M. (2021). DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation. In 2021 IEEE Winter Conference on Applications of Computer Vision: proceedings : 5-9 January 2021, virtual event (pp. 2441-2451). (WACV). IEEE Computer Society. https://doi.org/10.1109/WACV48630.2021.00249
  • Huang, J.-H., Murn, L., Mrak, M., & Worring, M. (2021). GPT2MVS: Generative Pre-Trained Transformer-2 for Multi-Modal Video Summarization. In ICMR '21: proceedings of the 2021 International Conference on Multimedia Retrieval : August 21-24, 2021, Taipei, Taiwan (pp. 580-589). The Association for Computing Machinery. https://doi.org/10.1145/3460426.3463662
  • Huang, J.-H., Wu, T.-W., & Worring, M. (2021). Contextualized Keyword Representations for Multi-Modal Retinal Image Captioning. In ICMR '21: proceedings of the 2021 International Conference on Multimedia Retrieval : August 21-24, 2021, Taipei, Taiwan (pp. 645-652). The Association for Computing Machinery. https://doi.org/10.1145/3460426.3463667
  • 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
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