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Hi-End-MAE

imported

software/hi-end-mae

[MedIA 2026] Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentation

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

record
Category
Software & Systems
Subcategory
unknown
License
Apache-2.0(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
www.sciencedirect.com/science/article/abs/pii/S1361841525003160
Repository
github.com/FengheTan9/Hi-End-MAE
Documentation
unknown
Tags
foundation-models · masked-autoencoder · masked-image-modeling · medical-image-analysis · medical-image-segmentation · self-supervised-learning
Regulatory
unknown
built by · 2

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.

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.

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  • MambaMIMmasked-image-modeling · medical-image-segmentation

    [MedIA 2025] MambaMIM: Pre-training Mamba with State Space Token Interpolation and its Application to Medical Image Segmentation

  • VoComedical-image-analysis · medical-image-segmentation · self-supervised-learning

    [CVPR 2024] VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis

  • femrfoundation-models · self-supervised-learning

    FEMR (Framework for Electronic Medical Records) provides tooling for large-scale, self-supervised learning using electronic health records

  • papagei-foundation-modelfoundation-models · self-supervised-learning

    (ICLR'25) PaPaGei: Open Foundation Models for Optical Physiological Signals

  • PCRLv2medical-image-analysis · self-supervised-learning

    An official implementation of PCRLv2 (pre-training and fine-tuning code are included).

sources
  1. api.github.com/repos/FengheTan9/Hi-End-MAE
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-02-16, 33 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 →

machine-readable

/v1/entries/10.json→ .entries["hi-end-mae"]

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