openmedical/registry
← registry

sHDR

imported

software/shdr

HDR-MRI Algorithms from "Local contrast-enhanced MR images via high dynamic range processing" published in MRM

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

sHDR project image
GitHub preview card for shakes76/sHDR. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
Apache-2.0(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
doi.org/10.1002/mrm.27109
Repository
github.com/shakes76/sHDR
Documentation
unknown
Tags
fusion · hdr · image · medical-image-processing · medical-imaging · mri
Regulatory
unknown
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.

  • dicom_to_rosimage · medical-image-processing · medical-imaging

    ROS 2 pipeline that receives DICOM files over the network and translates them into standard ROS 2 topics

  • dicom2jpgimage · medical-image-processing · medical-imaging

    A simple Python function tool to convert DICOM files into jpg/png/bmp/tiff files and numpy.ndarray

  • dcm2hdrhdr

    DCM2HDR - DICOM to HDR (16bit TIFF/PNG) converter

  • event_super-resolutionhdr

    Repo for Neuromorphic Imaging with Super-Resolution, IEEE TCSVT, 2025.

  • GeneFusefusion

    Gene fusion detection and visualization

  • PathomicFusionfusion

    Fusing Histology and Genomics via Deep Learning - IEEE TMI

sources
  1. api.github.com/repos/shakes76/sHDR
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2018-11-13, 17 stars, license reported as NOASSERTION. Category and schematic were assigned by keyword heuristics and are unreviewed. GitHub reported NOASSERTION; the licence was read from the LICENSE file as Apache-2.0, because GitHub's detector does not recognise open hardware licences.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/52.json→ .entries["shdr"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.