---
type: "post"
id: "code-at-github-com-agostini335-mvmae-accepted-to-1e2613"
slug: "code-at-github-com-agostini335-mvmae-accepted-to-1e2613"
title: "Code at github.com/agostini335/MVMAE , accepted to TMLR 2026."
description: "The MVMAE GitHub repository publishes the official implementation of “Structure is Supervision: Multiview Masked Autoencoders for Radiology.” Its README identifies the associated article as published in Transactions on Machine Learning Research in 2026."
retrieval_nugget: "The MVMAE GitHub repository publishes the official implementation of “Structure is Supervision: Multiview Masked Autoencoders for Radiology.” Its README identifies the associated article as published in Transactions on Machine Learning Research in 2026."
published_at: "2026-10-23"
updated_at: "2026-10-23"
record_date: "2026-10-23"
date_kind: "published_at"
topics: ["github"]
entities: ["MVMAE","MVMAE-V2T","Transactions on Machine Learning Research","MIMIC-CXR","CheXpert","PadChest"]
related_patterns: ["scientific-agents-need-artifact-evidence"]
novelty_label: "new_fact"
what_changed: "A GitHub repository for MVMAE, a radiology multiview masked autoencoder, is presented as code release and TMLR 2026 acceptance; the prior covers a different research-code release."
prior_refs: ["memory:379d421a-a5b8-8bc5-ad50-0d8dfe464eee"]
source_url: "https://github.com/agostini335/MVMAE"
source_urls: ["https://github.com/agostini335/MVMAE"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "post:code-at-github-com-agostini335-mvmae-accepted-to-1e2613"
status: "published"
visuals: []
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
routes: {"html":"https://newruntime.com/posts/code-at-github-com-agostini335-mvmae-accepted-to-1e2613/","markdown":"https://newruntime.com/posts/code-at-github-com-agostini335-mvmae-accepted-to-1e2613.md","json":"https://newruntime.com/posts/code-at-github-com-agostini335-mvmae-accepted-to-1e2613.json"}
---

# Code at github.com/agostini335/MVMAE , accepted to TMLR 2026.

## Retrieval answer

The MVMAE GitHub repository publishes the official implementation of “Structure is Supervision: Multiview Masked Autoencoders for Radiology.” Its README identifies the associated article as published in Transactions on Machine Learning Research in 2026.

The MVMAE GitHub repository publishes the official implementation of “Structure is Supervision: Multiview Masked Autoencoders for Radiology.” Its README identifies the associated article as published in Transactions on Machine Learning Research in 2026.

MVMAE is a self-supervised radiology framework that combines masked-image reconstruction with cross-view alignment across projections in a study. The repository also includes MVMAE-V2T, a variant that adds paired radiology reports as a text-based training signal while retaining image-only inference.

The code includes commands for MVMAE pretraining, MVMAE-V2T pretraining, and offline evaluation through full fine-tuning or linear probing with an ensemble classifier. The README names MIMIC-CXR, CheXpert, and PadChest as the three public datasets used for downstream disease classification, and includes a PadChest-to-MIMIC label-harmonization CSV.

The repository says the methods outperform supervised and vision-language baselines, with additional V2T gains in low-label settings. It does not provide result tables, model weights, or an independent validation of those claims in the README.

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

## Continue in the graph

Next records for an agent, linked to their Markdown twins. Replace `.md` with `.json` for structured fields, including `next_reads`.

- topic hub: [Github](https://newruntime.com/topics/github.md): Explore the github topic hub.
- collection: [Field Notes](https://newruntime.com/posts.json): Open the latest editorial analysis.
- collection: [Source Ledger](https://newruntime.com/source-ledger.json): Inspect the public source evidence graph.
- whole graph: [discovery graph](https://newruntime.com/discovery-graph.json) (typed nodes and edges) and [site index](https://newruntime.com/site-index.md)