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biomed_imaging

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software/biomed-imaging

Simulating biomedical imaging modalities (X-Ray, Positron Emission Tomography, Magnetic Resonance Imaging, Ultrasound Imaging) using MATLAB

Machine-generated from the listed sources and not yet reviewed by a human.

biomed_imaging project image
GitHub preview card for alksarioglou/biomed_imaging. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
GPL-3.0(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
biomedical-image-processing · matlab · mri · pet · ultrasound · x-ray
Regulatory
unknown
built by · 1

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • med-imaging-primermri · pet · x-ray

    A systematic guide from physical imaging principles(医学影像处理开源教程), reconstruction algorithms to deep learning post-processing. https://datawhalechina.github.io/med-imaging-primer/

  • PCRLv2mri · x-ray

    An official implementation of PCRLv2 (pre-training and fine-tuning code are included).

  • DDALABmri · pet

    DDALAB is a software platform for analyzing physiological time-series data using Delay Differential Analysis (DDA).

  • A list of tutorials and other resources useful to learn open science and neuroimaging, EEG and MEG

  • nifreezemri · pet

    A flexible framework for volume-wise artifact estimation and correction across multiple 4D neuroimaging modalities (diffusion MRI, functional MRI, and PET)

  • Robust Nipype pipeline for preprocessing PET BIDS brain data.

sources
  1. api.github.com/repos/alksarioglou/biomed_imaging
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2021-10-04, 7 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/62.json→ .entries["biomed-imaging"]

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