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-automatic-segmentation-of-tumour-region-from-brain-mri-images

We have designed a tool for MRI brain image segmentation for tumour detection and feature extraction using Multi-thresholding , K-means algorithm and fuzzy-c means algorithm.

-hfss-api-for-vortex-metasurface-generation

a simple MATLAB HFSS API for vortex metasurface generation

18369

18.369/8.315 - Mathematical Methods in Nanophotonics course

1d-pinn-reconstruction

This is the code for "Neural Network Reconstruction of Plasma Space-Time" by C.Bard and J.Dorelli (DOI: 10.3389/fspas.2021.732275). It is a Physics-Informed Transformer Neural Network which was used to reconstruct one-dimensional (M)HD shocktubes from partial samples. Includes source code, data, and jupyter notebooks for scientific reproduction

1dbloodflowpinns-pelvic-pytorch

rewrite ./Pelvic of the repository "PredictiveIntelligenceLab/1DBloodFlowPINNs" using pytorch

1dfreeformdqn

Design code of 1D free-from deflector metasurface

1dpyhc

A python code to calculate optical properties of 1D Photonic Crystals

2-layer-nn

Codes and data for the 2-layer neural network paper

2021_mssp

This repository contains the established models discussed in the paper: "A Physics-constrained Deep Learning Based Approach for Acoustic Inverse Scattering Problems"

2d-pwem-python

This is the program created to analyze dispersion properties of 2D photonic crystals of arbitrary shaped unit cell.

2d-sdf-net

This is a neural network approximating the two-dimensional signed distance functions of polygons.

2d-wave-equation

2D wave equation numerical solution in Python

2d_bpml_example

2D BPML(Berenger's Perfectly Matched Layer) using python example

2dfreeform

2D metasurface freeform optimization

3d-mri-brain-tumor-segmentation-using-autoencoder-regularization

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

3d-nii-visualizer

A NIfTI (nii.gz) 3D Visualizer using VTK and Qt5

3d-unet--tensorflow

3D Unet for Isointense Infant Brain Image Segmentation

3d_hologram_gsa

Reconstruction of holograms by GSA algorithm + Fresnel diffraction

3dunetcnn

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

5g

5G Mobile Networks -- Micro-book

a-dda

Automatically exported from code.google.com/p/a-dda

a-parametric-algorithm-for-computing-scattering-for-distributions-of-spherical-particles

This algorithm can be used to compute the scattering cross-sections of spherical particles having a probability density as a function of it's parameters

accelerator_inverse_design

Automated inverse design of dielectric laser accelerator structures

adda

ADDA - light scattering simulator based on the discrete dipole approximation

adda-gui

adjoint-workshop

Gentle introduction and demo of the adjoint variable method for electromagnetic inverse design

adjoint_fdtd

Meep-based FDTD Implementation of Adjoint Photonic Design Method

adjoint_method

Use the adjoint method and gradient descent to find the parameters of an ODE

adjointpythonexample

Some basic examples for adjoint method in python

adversarial-attack-on-3d-u-net-model-brain-tumour-segmentation.

Adversarial Attack on 3D U-Net model: Brain Tumour Segmentation.