Publications
[1] Ghamsarian, N., Taschwer, M., Putzgruber-Adamitsch, D., Sarny, S. and Schoeffmann, K., 2021, January. Relevance detection in cataract surgery videos by spatio-temporal action localization. In 2020 25th International Conference on Pattern Recognition (ICPR) (pp. 10720-10727). IEEE.
[2] Ghamsarian, N., Amirpourazarian, H., Timmerer, C., Taschwer, M. and Schöffmann, K., 2020, October. Relevance-based compression of cataract surgery videos using convolutional neural networks. In Proceedings of the 28th ACM International Conference on Multimedia (pp. 3577-3585).
[3] Ghamsarian, N., Taschwer, M., Putzgruber-Adamitsch, D., Sarny, S., El-Shabrawi, Y. and Schoeffmann, K., 2021. LensID: a CNN-RNN-based framework towards lens irregularity detection in cataract surgery videos. In Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part VIII 24 (pp. 76-86). Springer International Publishing.
[4] Ghamsarian, N., Taschwer, M., Putzgruber-Adamitsch, D., Sarny, S., El-Shabrawi, Y. and Schöffmann, K., 2021. ReCal-Net: Joint Region-Channel-Wise Calibrated Network for Semantic Segmentation in Cataract Surgery Videos. In Neural Information Processing: 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8–12, 2021, Proceedings, Part III 28 (pp. 391-402). Springer International Publishing.
[5] Ghamsarian, N., Taschwer, M., Sznitman, R. and Schoeffmann, K., 2022, September. DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos. In International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 276-286). Cham: Springer Nature Switzerland.
[6] Ghamsarian, N., Tejero, J.G., Neila, P.M., Wolf, S., Zinkernagel, M., Schoeffmann, K. and Sznitman, R., 2023. Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-Training. arXiv preprint arXiv:2307.16660.