From a101a50188ba5b82f363ba0fc3670e7afded7d6e Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Ji=C5=99=C3=AD=20Hlad=C5=AFvka?= Date: Fri, 17 Feb 2023 17:00:43 +0100 Subject: [PATCH] OAGM 2020 link and formats fixed. --- publications.md | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/publications.md b/publications.md index b33d799..8e2d8fb 100644 --- a/publications.md +++ b/publications.md @@ -39,5 +39,8 @@ An unsupervised, shape-based 3D cell instance segmentation method for plant tiss Towards uncertainty detection in automated leaf tissue segmentation, in OAGM workshop: Digitalization for smart farming and forestry. R. Grexová, K. Voggeneder, D. Tholen, G. Theroux-Rancourt, W. Kropatsch, and J. Hladůvka (2022), to appear. -[__Border Propagation: A Novel Approach to Determine Slope Region Decompositions__]((https://doi.org/10.3217/978-3-85125-752-6){:target="_blank" rel="noopener noreferrer"}). **Bogner F**, **Palmrich A**, **Kropatsch WG** (2020) In Roth PM, Steinbauer G, Fraundorfer F, Brandstötter M & Perko R (eds), Proceedings of the Joint Austrian Computer Vision and Robotics Workshop. Verlag der Technischen Universität Graz, Graz. pp. 137-142. doi: 10.3217/978-3-85125-752-6 +[Border propagation: A novel approach to determine slope region decompositions](https://doi.org/10.3217/978-3-85125-752-6-31), +in Proceedings of the Joint Austrian Computer Vision and Robotics Workshop. +F. Bogner, A. Palmrich, and W. G. Kropatsch (2020), pp. 137–142. +