MICCAI-OpenSourcePapers
importedsoftware/miccai-opensourcepapers
MICCAI 2019-2023 Open Source Papers
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- deep-learning · medical-imaging
- Regulatory
- unknown
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.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- 3d-prostate-segmentationmedical-imaging
Segmentation of prostate from MRI scans
- Abdomen-CT-Image-Segmentationmedical-imaging
The code for the paper Improving CT Image Tumor Segmentation Through Deep Supervision and Attentional Gates.
- ACC-UNetmedical-imaging
ACC-UNet is A Completely Convolutional UNet model inspired from transformer-based UNets
- active-segmentationmedical-imaging
ActiveSegmentation: A Simulation Framework for Benchmarking Active Learning Strategies for 3D Medical Image Segmentation
- Agentic-Smart-Healthmedical-imaging
Multi-agent system that unifies heterogeneous dental data (CBCT, STL, clinical reports, photos) into a patient Digital Twin built on Gaussian Splatting, with per-region clinical attributes and…
- AI-for-healthcaremedical-imaging
The impact of Artificial Intelligence in improving healthcare facilities is increasing significantly. This repository provides implementation of different Deep Learning and Machine Learning…
- api.github.com/repos/JunMa11/MICCAI-OpenSourcePapersretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-11-01, 1294 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/24.json→ .entries["miccai-opensourcepapers"]
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