DenoMamba
importedsoftware/denomamba
Official implementation of DenoMamba: A fused state-space model for low-dose CT denoising
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- icon-lab
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/icon-lab/DenoMamba
- Documentation
- unknown
- Tags
- computed-tomography · contextualized-representation · deep-learning · denoising · long-range · low-dose-ct-denoising · mamba · medical-imaging · python · pytorch · sequence-models · state-space-models
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- MambaRollmamba · medical-imaging · pytorch · sequence-models · state-space-models
Official implementation of MambaRoll: A Physics-Driven Autoregressive State Space Model for Medical Image Reconstruction (https://arxiv.org/abs/2412.09331)
- UniRescomputed-tomography · denoising · medical-imaging
Unified super-resolution and denoising of medical images in PyTorch
- Brainwavemamba · pytorch
Brainwave is a state-of-the-art neural decoder that transforms electroencephalogram (EEG) and brain signals into multimodal outputs including images, videos, and text.
- TextMamba3Dmamba · pytorch
Text-guided 3D brain tumor segmentation with unified Mamba architecture | 基于统一Mamba架构的文本引导3D脑肿瘤分割
- MambaMIMmamba · medical-imaging
[MedIA 2025] MambaMIM: Pre-training Mamba with State Space Token Interpolation and its Application to Medical Image Segmentation
- OCTAMambamamba · medical-imaging
【ICASSP2025 Oral】Offical Pytorch Code for "OCTAMamba: A State-Space Model Approach for Precision OCTA Vasculature Segmentation"
- api.github.com/repos/icon-lab/DenoMambaretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2025-11-05, 37 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 →
/v1/entries/55.json→ .entries["denomamba"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.