This project hosts the code and datasets I used for Deep Learning course at Boston University. It aims to post-process the images the low quality images produced as a result of solving inverse problems in imaging (particularly Computed Tomography) and produce high-quality images.
Learning-based tomographical image optimization
An Efficient Software Tool to Segment Electron Tomograms
Git fork of original Gustavsson/Brandstrom et al AIDA analysis toolset for ALIS tomography of the aurora
Course Project: Biomedical Imaging
This code is useful for post processing the atom probe tomography (APT) data. Currently it has the functionality to substract the defined background ranges in the APT mass spectrum and disentangle the defined overlaps. Currently its structure works is suitable only for CdS/Cu(In,Ga)Se_2
Matlab Code for performing the Backprojection of a crescend-shaped object
Computational tools to solve two-photon photo-acoustic tomography problems using FEniCS
Study projects from Medical Informatics at PUT Poznań - 2018
MuonPortal GUI for tomography data imaging processing
Research Project under the guidance of Professor Ajit Rajwade
A Python script to translate SEG-Y seismic record file into txt files.
Tomographic algorithms for Fusion Plasmas implemented using machine learning techniques. Implementation for JET bolometer setup and COMPASS SXR system available
Optimisation on Diffeomorphisms
A rough attempt at optical tomography using an iPhone camera and lamp
Seismic Surface Wave Isotropic/Azimuthally Anisotropic Group/Phase Speed 2-D Tomography
Implements a tomographic reconstruction problem in Matlab
A.Biguri PhD thesis: Iterative Reconstruction and Motion compensation in Computed Tomography on GPUs
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