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Michail Mamalakis's Projects

3dsulci icon 3dsulci

Development of local XAI techniques and generalized the results using PCA to study the learning pattern

3dunetcnn icon 3dunetcnn

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

ants icon ants

Advanced Normalization Tools (ANTs)

cellml icon cellml

Some copies of cellml.org electrophysiology models with metadata annotations for use with Chaste

chaste icon chaste

Chaste - Cancer Heart And Soft Tissue Environment - main public repository

deep-belief-network icon deep-belief-network

A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility

denres-131 icon denres-131

A new deep learning classifier for COVID-19 and lung diseases classification

dense3dcrf icon dense3dcrf

Fully-connected (dense) 3D CRF for processing biomedical scans

digits icon digits

Deep Learning GPU Training System

dsp_fft_filters icon dsp_fft_filters

A Matlab code for filtering digital signals by filters in the Fourier space.

emd_ecg icon emd_ecg

Empirical Mode Decomposition filter to remove the baseline frequency in ECG signal

gp_emu_uqsa icon gp_emu_uqsa

Gaussian Process emulation for Uncertainty Quantification and Sensitivity Analysis

gpc icon gpc

Gaussian process code in C++ including some implementations of GP-LVM and IVM.

gpy icon gpy

Gaussian processes framework in python

lv-ortho-modes icon lv-ortho-modes

Left ventricular orthogonal clinical modes: http://www.cardiacatlas.org/tools/lv-shape-orthogonal-clinical-modes/

ma-socratis icon ma-socratis

Multi Atlas - Segmentation Of Cardiac Region And Total Infarct Scar (MA-SOCRATIS) is an unsupervised automatic pipeline that is capable of segmenting ventricular myocardium and scar from late gadolinium enhanced MR images (LGE-MRI) of left ventricle

magpy icon magpy

Model Analysis with Gaussian Processes in Python

medical-image-analysis icon medical-image-analysis

Detection and segmentation of the Left Ventricle in Cardiac MRI using Deep Learning and Deformable models

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