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MambaRoll

imported

software/mambaroll

Official implementation of MambaRoll: A Physics-Driven Autoregressive State Space Model for Medical Image Reconstruction (https://arxiv.org/abs/2412.09331)

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

MambaRoll project image
GitHub preview card for icon-lab/MambaRoll. 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
maintained
Maturity
deployed
Organization
icon-lab
Country
unknown
Homepage
unknown
Repository
github.com/icon-lab/MambaRoll
Documentation
unknown
Tags
autoregressive · deep-learning · deep-neural-networks · image-reconstruction · mamba · medical-imaging · next-scale-prediction · python · pytorch · sequence-models · state-space-models · unrolled-reconstruction-algorithm
Regulatory
unknown
similar by tags

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    Official implementation of FedGAT: Generative Autoregressive Transformers for Model-Agnostic Federated MRI Reconstruction (https://arxiv.org/abs/2502.04521)

  • PyTomographyimage-reconstruction · medical-imaging · pytorch

    This repository enables easy and fast medical image reconstruction in Python.

  • Residual_MLP_CNN_Mixerimage-reconstruction · medical-imaging · pytorch

    (MICCAI 2022) PyTorch implementation of Denoising of 3D MR images using a voxel-wise hybrid residual MLP-CNN model to improve small lesion diagnostic confidence.

  • CCFBDCI-2021-Ultrasonic-Tumor-Segmentation-Rank1stdeep-neural-networks · medical-imaging · pytorch

    [CCF BDCI 2021] This is the source code of the 1st place solution for segmentation task (with Dice 90.32%) in 2021 CCF BDCI challenge.

  • KiU-Net-pytorchdeep-neural-networks · medical-imaging · pytorch

    Official Pytorch Code of KiU-Net for Image/3D Segmentation - MICCAI 2020 (Oral), IEEE TMI

sources
  1. api.github.com/repos/icon-lab/MambaRoll
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2025-09-28, 26 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/12.json→ .entries["mambaroll"]

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