Search Results for author:
Found 10 papers, 5 papers with code
Impact of PCA-based preprocessing and different CNN structures on deformable registration of sonograms
The impact of principal component analysis (PCA)-based pre-denoising of patient individual images, as well as the impact of modified net structures with differing complexities on registration results were examined visually and quantitatively, the latter using metrics for deformation and image similarity.
Estimation of mitral valve hinge point coordinates -- deep neural net for echocardiogram segmentation
Cardiac image segmentation is a powerful tool in regard to diagnostics and treatment of cardiovascular diseases.
Model predictive control for retinal laser treatment at 1 kHz
Laser photocoagulation is a technique applied in the treatment of retinal diseases.
D^2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in Videos
We further show that D^2Conv3D out-performs trivial extensions of existing dilated and deformable convolutions to 3D.
D2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in Videos
We further show that D2Conv3D out-performs trivial extensions of existing dilated and deformable convolutions to 3D.
Condition Monitoring of Drive Trains by Data Fusion of Acoustic Emission and Vibration Sensors
Early damage detection and classification by condition monitoring systems is crucial to enable predictive maintenance of manufacturing systems and industrial facilities.
MDEmic in a use case for microscopy metadata harmonization: Facilitating FAIR principles in practical application with metadata annotation tools
Similar to public image data repositories like the Image Data Resource, IDR, this database facilitates image data storage including rich metadata which enables data mining and re-use, one of the major goals of the FAIR principles.
Simulating Yang-Mills theories with a complex coupling
We discuss the structure of Generalized Lefschetz thimbles for pure Yang-Mills theories with a complex gauge coupling $\beta$ and show how to incorporate the gauge orbits.
High Energy Physics - Lattice High Energy Physics - Phenomenology
Deep Deterministic Portfolio Optimization
Can deep reinforcement learning algorithms be exploited as solvers for optimal trading strategies?
Dense Limit of the Dawid-Skene Model for Crowdsourcing and Regions of Sub-optimality of Message Passing Algorithms
We further study numerically the performance of approximate message passing, derived in the dense limit, on sparse instances and carry out experiments on a real world dataset.
