semantic segmentation for magnetic resonance imaging
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Updated
Sep 21, 2021 - Python
semantic segmentation for magnetic resonance imaging
meta-analysis of new and published human WAT single cell data
A simple toolbox of ImageJ plugins for quantifying adipocyte morphology and function in tissues and in vitro.
Algorithm created with Python to semi-automatically segment various depots of fat based on a Dixon sequence abdominal MRI scan. Anatomical landmarks of the MRI scan must be manually identified.
Python pipelines for analysis of adipocyte scRNA-seq data
This program will take in MRI images in the NIFTI format and display them on the screen. The user will draw a closed contour around specified areas of fat at multiple axial slices. These results are saved in a file to be validated with the VisceralFatSegmentation program. This program is created using Qt and C++.
Code for the IJMS paper (Co-Expression Network Analysis of AMPK and Autophagy Gene Products during Adipocyte Differentiation)
Data and analysis results for the MoTrPAC PASS1B rat white adipose tissue manuscript
Helper Functions for the MotrpacRatTraining6moWATData R Package
Python & R scripts collection for AdipoAtlas project
INVESTIGATING THE ASSOCIATION BETWEEN POLYGENIC RISK SCORE OF ADIPOSE TISSUE FUNCTION AND CARDIOVASCULAR DISEASE
20.440 Group Project-Intercellular Communication in vivo
Tabula Muris Senis Transcriptomic Secretome Database Generation + White Adipose Depot Analysis
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