openmedical/registry
← registry

AutoDiffPulses

imported

software/autodiffpulses

PyTorch auto-differentiation based MRI pulse design.

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

AutoDiffPulses project image
GitHub preview card for tianrluo/AutoDiffPulses. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
mri · mri-pulse · pulse-design
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.

  • Knee MRI cartilage segmentation model used in 2019 IWOAI segmentation challenge

  • This GitHub repository was created for research focusing on the development of deep learning-based segmentation models for fetal brain tissue.

  • Code for NeuroImage: Clinical paper "Automatic post-stroke lesion segmentation on MR images using 3D residual convolutional neural network."

  • Deep CNN for performing 3D super resolution on CT/MRI scans

  • Abdominal QSM Phantom is a Julia toolbox for simulating and analyzing abdominal QSM. The toolbox enables creation of synthetic susceptibility maps, R2* maps, fieldmaps, and simulation of complex…

  • Addformer: Alzheimer’s disease detection from structural mri using fusion transformer

sources
  1. api.github.com/repos/tianrluo/AutoDiffPulses
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-07-04, 11 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/7.json→ .entries["autodiffpulses"]

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