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Results: 130
Number of items: 130
  • Open Access
    Chen, Y. (2023). Continuity in 3D visual learning. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Zoetmulder, R. (2023). Deep-learning-based image segmentation for uncommon ischemic stroke: From infants to adults. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Gavves, E., Kofinas, M., & Nagaraja, N. (2022). Roto-translated Local Coordinate Frames For Interacting Dynamical Systems. 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. 8, pp. 6417-6429). (Advances in Neural Information Processing Systems; Vol. 34). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper/2021/hash/32b991e5d77ad140559ffb95522992d0-Abstract.html
  • Open Access
    Zoetmulder, R., Gavves, E., Caan, M., & Marquering, H. (2022). Domain- and Task-Specific Transfer Learning For Medical Segmentation Tasks. Computer Methods and Programs in Biomedicine, 214, Article 106539. https://doi.org/10.1016/j.cmpb.2021.106539
  • Schirris, Y., Engelaer, M., Panteli, A., Horlings, H. M., Gavves, E., & Teuwen, J. (2022). WeakSTIL: Weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need. In J. E. Tomaszewski, A. D. Ward, & R. M. Levenson (Eds.), Medical Imaging 2022: Digital and Computational Pathology: 21-27 March 2022, online Article 120390B (Proceedings of SPIE; Vol. 12039), (Progress in Biomedical Optics and Imaging; Vol. 23, No. 55). SPIE. https://doi.org/10.1117/12.2611528
  • Open Access
    Zoetmulder, R., Išgum, I., Gavves, E., & MR CLEAN Registry Investigators (2022). Deep-Learning-Based Thrombus Localization and Segmentation in Patients with Posterior Circulation Stroke. Diagnostics, 12(6), Article 1400. https://doi.org/10.3390/diagnostics12061400
  • Open Access
    Lippe, P., Magliacane, S., Löwe, S., Asano, Y. M., Cohen, T., & Gavves, E. (2022). CITRIS: Causal Identifiability from Temporal Intervened Sequences. Proceedings of Machine Learning Research, 162, 13557-13603. https://proceedings.mlr.press/v162/lippe22a.html
  • Open Access
    Lippe, P., Cohen, T., & Gavves, E. (2022). Efficient Neural Causal Discovery without Acyclicity Constraints. In The Tenth International Conference on Learning Representations: ICLR 2022 https://openreview.net/forum?id=eYciPrLuUhG
  • Open Access
    Pervez, A., & Gavves, E. (2022). Stability Regularization for Discrete Representation Learning. In The Tenth International Conference on Learning Representations: ICLR 2022 https://openreview.net/forum?id=6tmjoym9LR6
  • Habibian, A., Ben Yahia, H., Abati, D., Gavves, E., & Porikli, F. (2022). Delta Distillation for Efficient Video Processing. In S. Avidan, G. Brostow, M. Cissé, G. M. Farinella, & T. Hassner (Eds.), Computer Vision – ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022 : proceedings (Vol. XXXV, pp. 213-229). (Lecture Notes in Computer Science; Vol. 13695). Springer. https://doi.org/10.1007/978-3-031-19833-5_13
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