BayeSeg: Bayesian Modelling for Medical Image Segmentation with Interpretable Generalizability
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Updated
Mar 12, 2024 - Python
BayeSeg: Bayesian Modelling for Medical Image Segmentation with Interpretable Generalizability
The official implementation of "Bayesian Image Super-Resolution with Deep Modeling of Image Statistics" via TensorFlow
Fully automated (rodent) limb motion analysis toolbox for behavioral analysis with bodypart coordinate data, building upon markerless pose estimation.
X-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing (TPAMI 2023)
financial data analytics using statistical modelling and machine learning techniques
A general modelling framework for specifying and fitting models to empirical fundamental diagrams of road traffic, and for comparing the model fits using information criteria
statistical modelling of the wine data-set available at https://www.kaggle.com/zynicide/wine-reviews
Statistical testing with R
Highlights of my research work in MATLAB, statistical modeling of the unstructured raw data from GPS satellites for several years. Data modeling and processing, followed by different residual plots including trends and root mean square. In the end, the result was compared with independent data set models for validation purposes. The results were…
This repository contains learning materials and assignments for the subject MAST90139 Statistical Modelling for Data Science
Industry - Casualty Challenge
financial risk management projects
A/B Hypothesis Testing.
RefInt: A curated reference interactome with true positives and negatives for benchmarking protein-protein interactions.
This is a POC on regression analysis from the simplest to advanced regression model. Notable things that is done is Data Preprocessing, Data Visualization, Feature Engineering and Statistical Modelling.
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