Search Results for author:
Found 5 papers, 2 papers with code
Estimation of Optical Aberrations in 3D Microscopic Bioimages
To this end, our method incorporates object-specific information into the simulated images used for training the network.
Practical sensorless aberration estimation for 3D microscopy with deep learning
Additionally, we study the predictability of individual aberrations with respect to their data requirements and find that the symmetry of the wavefront plays a crucial role.
Efficient Algorithms for Moral Lineage Tracing
Lineage tracing, the joint segmentation and tracking of living cells as they move and divide in a sequence of light microscopy images, is a challenging task.
Moral Lineage Tracing
We propose an integer linear program (ILP) whose feasible solutions define a decomposition of each image in a sequence into cells (segmentation), and a lineage forest of cells across images (tracing).
Mapping Auto-context Decision Forests to Deep ConvNets for Semantic Segmentation
Finally, we revisit the core mapping from a Decision Tree (DT) to a NN, and show that it is also possible to map a fuzzy DT, with sigmoidal split decisions, to a NN.
