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Results: 114
Number of items: 114
  • Schirris, Y., Gavves, E., Nederlof, I., Horlings, H. M., & Teuwen, J. (2022). DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer. Medical Image Analysis, 79, Article 102464. https://doi.org/10.1016/j.media.2022.102464
  • Wang, H., Liu, J., Liu, Y., Maji, S., Sonke, J.-J., & Gavves, E. (2022). Dynamic Transformer for Few-shot Instance Segmentation. In MM '22: proceedings of the 30th ACM International Conference on Multimedia : October 10-14, 2022, Lisboa, Portugal (pp. 2969–2977). The Association for Computing Machinery. https://doi.org/10.1145/3503161.3548227
  • Open Access
    Chen, Y., Fernando, B., Bilen, H., Nießner, M., & Gavves, E. (2022). 3D Equivariant Graph Implicit Functions. 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. III, pp. 485–502). (Lecture Notes in Computer Science; Vol. 13663). Springer. https://doi.org/10.48550/arXiv.2203.17178, https://doi.org/10.1007/978-3-031-20062-5_28
  • Open Access
    Liu, J., Bao, Y., Xie, G.-S., Xiong, H., Sonke, J.-J., & Gavves, E. (2022). Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition: New Orleans, Louisiana, 19-24 June 2022 : proceedings (pp. 11543-11552). (CVPR). IEEE Computer Society. https://doi.org/10.48550/arXiv.2204.10638, https://doi.org/10.1109/CVPR52688.2022.01126
  • 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
    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
    Wang, H., Shen, J., Liu, Y., Gao, Y., & Gavves, E. (2022). NFormer: Robust Person Re-identification with Neighbor Transformer. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition: New Orleans, Louisiana, 19-24 June 2022 : proceedings (pp. 7287-7297). (CVPR). IEEE Computer Society. https://doi.org/10.48550/arXiv.2204.09331, https://doi.org/10.1109/CVPR52688.2022.00715
  • Open Access
    Bereska, L., & Gavves, E. (2022). Continual Learning of Dynamical Systems with Competitive Federated Reservoir Computing. Proceedings of Machine Learning Research, 199, 335-350. https://doi.org/10.48550/arXiv.2206.13336
  • 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
    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
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