Update 3d_microstructure.md

3d_microstructure.md

@@ -21,10 +21,10 @@ Quantitative characterization of 3D images involves measuring the geometric and
 
 
 ### Segmentation based on machine learning
-If advantageous, we use machine learning and deep learning for segmentation, for example, when [analyzing cardiac tissue](https://elifesciences.org/articles/71359). To minimize the need for human input, we do research in active learning. 
+If advantageous, we use machine learning and deep learning for segmentation, for example, when analyzing cardiac tissue as in [Reichardt et al., 2021](https://elifesciences.org/articles/71359). To minimize the need for human input, we research in active learning. 
 
 ### Dictionary-based segmentation
-Our [dictionary-based segmentation](https://ieeexplore.ieee.org/document/9150995) is based on machine learning principles. Both the the dictionary and the associated labels are learned from data. This enables automatic image segmentation, fast enough for real-time interaction. An outcome of this is the [InSegt](https://github.com/vedranaa/InSegt) segmentation tool. InSegt has been used for numerous projects, and in particular for analysing [microstructure of composite materials](https://www.sciencedirect.com/science/article/pii/S0266353821002852?via%3Dihub) but also [compound bee eye](https://bmczool.biomedcentral.com/articles/10.1186/s40850-021-00101-w). 
+Our dictionary-based segmentation [Dahl et al., 2020](https://ieeexplore.ieee.org/document/9150995) is based on machine learning principles. Both the the dictionary and the associated labels are learned from data. This enables automatic image segmentation, fast enough for real-time interaction. An outcome of this is the Insegt segmentation tool [[project page]](https://github.com/vedranaa/InSegt). InSegt has been used for numerous projects, and in particular for analysing microstructure of composite materials [Wang et al. 2021](https://www.sciencedirect.com/science/article/pii/S0266353821002852?via%3Dihub) but also compound bee eye [Tichit et al. 2022](https://bmczool.biomedcentral.com/articles/10.1186/s40850-021-00101-w). 
 
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 <img title="Interactive segmentation of an X-ray CT slice of a bee eye." src="images/segmentation.gif" alt="Interactive segmentation segmentation of a X-ray CT slice of a bee eye" width="600"/>