adell-mri
importedsoftware/adell-mri
A deep learning model and training/testing/inference library in PyTorch for segmentation, classification, object detection and self-supervised learning using radiology data.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- active
- Maturity
- deployed
- Organization
- CCIG-Champalimaud
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/CCIG-Champalimaud/adell-mri
- Documentation
- unknown
- Tags
- clinical-images · deep-learning · magnetic-resonance-imaging · monai · mri · torch
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- DeepMotiftorch
Deep Motif (ICLR16)/ Deep Motif Dashboard (PSB17): Visualizing Genomic Sequence Classifications
- LG-GNNtorch
This repo is the official implementation of "Classification of Brain Disorders in rs-fMRI via Local-to-Global Graph Neural Networks" published in IEEE Transactions on Medical Imaging.
- spyrittorch
A Python toolbox for deep image reconstruction, with emphasis on single-pixel imaging.
- ccnetmagnetic-resonance-imaging · mri
Official repository of "Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models"
- GlioScanmagnetic-resonance-imaging · mri
IDH Classification for Gliomas using CNN and Transformers.
- Mission-Control-MRI-VRmagnetic-resonance-imaging · mri
A McGill hackathon-winning VR simulation designed for children to practice stillness during an MRI.
- api.github.com/repos/CCIG-Champalimaud/adell-mriretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2026-08-25, 9 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 →
/v1/entries/56.json→ .entries["adell-mri"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.