3D Densenet Ensemble applied in 4-way classification of Alzheimer's Disease (BI 2020)
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Updated
Sep 28, 2020 - Python
3D Densenet Ensemble applied in 4-way classification of Alzheimer's Disease (BI 2020)
A lightweight Python-based 3D network multi-agent simulator. Uses a cell-based congestion model. Calculates risk, loudness and battery capacities of the agents. Suitable for 3D network optimization tasks.
ArcGIS Python Toolbox for creating 3D walking networks
GUI-based neuronal network model building
A network structure of musical notes
The code and results for finding anchor nodes in different networks which reduce the APL of the network.
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