Pinned Repositories
ApproXON
Approximation to E-Field Activation Tresholds given by the Axonal Activation Model of Åstrom et al
covid-19-germany-gae
COVID-19 case count in Germany state-by-state, over time (HTTP API and CSV files)
deep-segmentation
CNNs for semantic segmentation using Keras library
docker
A repository for vistalab docker files
f3-adminlte
This is Fatfree Framework (f3) project template that integrated with AdminLTE template
fig2u3d
Matlab2015a+ compatible (hg2 graphics system) export of MATLAB figure as U3D file or directly to 3D interactive PDF
greedy
Very fast greedy diffeomorphic registration code
PaCER
PaCER - Precise and Convenient Electrode Reconstruction for Deep Brain Stimulation
SpectralMachine
Machine learning software for rapid analysis of scientific spectra.
leaddbs
Lead-DBS is a MATLAB toolbox facilitating deep brain stimulation electrode localization and connectomic neuroimaging.
adhusch's Repositories
adhusch/PaCER
PaCER - Precise and Convenient Electrode Reconstruction for Deep Brain Stimulation
adhusch/fig2u3d
Matlab2015a+ compatible (hg2 graphics system) export of MATLAB figure as U3D file or directly to 3D interactive PDF
adhusch/ApproXON
Approximation to E-Field Activation Tresholds given by the Axonal Activation Model of Åstrom et al
adhusch/covid-19-germany-gae
COVID-19 case count in Germany state-by-state, over time (HTTP API and CSV files)
adhusch/deep-segmentation
CNNs for semantic segmentation using Keras library
adhusch/docker
A repository for vistalab docker files
adhusch/f3-adminlte
This is Fatfree Framework (f3) project template that integrated with AdminLTE template
adhusch/greedy
Very fast greedy diffeomorphic registration code
adhusch/SpectralMachine
Machine learning software for rapid analysis of scientific spectra.
adhusch/leaddbs
Lead-DBS is a MATLAB-toolbox facilitating deep brain stimulation electrode locations and connectomic imaging.
adhusch/osa_detection
adhusch/surveyjs-php
Sample PHP backend for SurveyJS library and Editor
adhusch/tensorflow
Computation using data flow graphs for scalable machine learning