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BrLP

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software/brlp

[MICCAI, 2024] (Oral, RU @ MedIA Best Paper Award) Official implementation of the Brain Latent Progression (BrLP) method from "Enhancing Spatiotemporal Disease Progression Models via Latent…

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

BrLP project image
GitHub preview card for LemuelPuglisi/BrLP. 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
unknown
Country
unknown
Homepage
lemuelpuglisi.github.io/blog/2024/brlp/
Repository
github.com/LemuelPuglisi/BrLP
Documentation
unknown
Tags
brain-latent-progression · diffusion-models · disease-progression-model · image-generation · longitudinal · medical-image-analysis · medical-imaging · miccai
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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    MAMA-SYNTH Challenge @MICCAI 2026 and Deep-Breath 2026.

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    Fast regression and mediation analysis of vertex or voxel MRI data with TFCE

  • MedSegFactorydiffusion-models · medical-image-analysis · medical-imaging

    [ICCV 2025] MedSegFactory: Text-Guided Generation of Medical Image-Mask Pairs

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    Official Pytorch Code base for "Multi-Level Global Context Cross Consistency Model for Semi-Supervised Ultrasound Image Segmentation with Diffusion Model"

  • tcga_segmentationmedical-imaging · miccai

    Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024

sources
  1. api.github.com/repos/LemuelPuglisi/BrLP
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2025-10-31, 136 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

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machine-readable

/v1/entries/49.json→ .entries["brlp"]

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