NimaMojtahedi
Computer Vision Scientist | Data Scientist | AI Scientist | Computational Neuroscientist | Project Manager
Wyss CenterGeneva Switzerland
Pinned Repositories
dask-image
Distributed image processing
Calcium-imaging-data-analysis
In this project our aim is to study difference in neuronal activity between normal and genetically modified mice with epileptic behavior. To facilitate, here we are designing and implementing analysis pipeline to analyze ca2+ data.
decompose
Blind source separation based on the probabilistic tensor factorisation framework
global-wheat-detection
Kaggle competition
ISCAL
ISCAL1
Intelligent Signal Classifier via Adaptive Learning
NMF-with-CV-and-MotionDetection-GUI-Matlab-
MotionDetection GUI, Non-negative Matrix Factorization with CV
probabilistic_pca
SleepAnalyses
Role of Sleep on Memory Consolidation
Soma-Segmentation
Aim of the project is to provide automatic approach to do soma segmentation on active/non-active neurons. However, the algorithm is not necessarily limited to neuron segmentation and depending on training data can be generally used as segmentation tool.
NimaMojtahedi's Repositories
NimaMojtahedi/Calcium-imaging-data-analysis
In this project our aim is to study difference in neuronal activity between normal and genetically modified mice with epileptic behavior. To facilitate, here we are designing and implementing analysis pipeline to analyze ca2+ data.
NimaMojtahedi/ISCAL
NimaMojtahedi/decompose
Blind source separation based on the probabilistic tensor factorisation framework
NimaMojtahedi/global-wheat-detection
Kaggle competition
NimaMojtahedi/ISCAL1
Intelligent Signal Classifier via Adaptive Learning
NimaMojtahedi/NMF-with-CV-and-MotionDetection-GUI-Matlab-
MotionDetection GUI, Non-negative Matrix Factorization with CV
NimaMojtahedi/probabilistic_pca
NimaMojtahedi/SleepAnalyses
Role of Sleep on Memory Consolidation
NimaMojtahedi/Soma-Segmentation
Aim of the project is to provide automatic approach to do soma segmentation on active/non-active neurons. However, the algorithm is not necessarily limited to neuron segmentation and depending on training data can be generally used as segmentation tool.