README.md

metadata

license: cc-by-4.0
tags:
  - digital-twins
  - scene-graphs
  - healthcare
  - structured-scene-states
  - reproducibility
  - procedural

MedPhyGraph — Procedural Support-Graph Data

MedPhyGraph: Counterfactual Support-Graph Maintenance for Dynamic Built-Environment Digital Twins

Resource	Link
Project Website	https://medphygraph.github.io/
Model (CF-SupportNet)	https://huggingface.co/MedPhyGraph/CF-SupportNet
Paper	<PAPER_URL>
Code	<GITHUB_URL>

Dataset description

This repository contains structured procedural training and evaluation data used in the MedPhyGraph paper. It supports the paper's method contribution and is not presented as a standalone benchmark contribution.

All redistributed artifacts are MedPhyGraph-owned procedural structured JSON. No NVIDIA Isaac Sim / Isaac for Healthcare assets, USD binaries, meshes, textures, or Isaac-derived structured scene files are included.

This repository contains the Procedural subset (136 of 217 cases) of the expanded transfer suite. The paper additionally reports 81 Isaac for Healthcare cases, which are not redistributed here.

Paper evaluation vs. this public release

Suite	Paper (reported)	This repository
Expanded support-transfer cases	217 total	136 procedural only
Procedural transfers	136	136
Isaac for Healthcare transfers	81	0 (excluded)

The public expanded-transfer subset is expanded_transfer_procedural_v1/. It is not the complete 217-case paper suite.

Components

1. training_data/

Paper-frozen CF-SupportNet training/evaluation feature dataset (dataset_hard).

File	Description
dataset.json	533 analytic counterfactual edge samples
split.json	Scene-level train/val/test split (324 / 101 / 108 samples)

Provenance: Generated from procedurally authored hard_000–hard_019 scenes via hard_scenes.py and generate_counterfactual_dataset.py. No Isaac-derived scenes.

2. procedural_scenes/

Structured Procedural evaluation states (TwinWorld Phase-2 dynamic corpus).

Property	Value
scene.json directories	54
Geometry	Procedural AABB proxies (proxy://aabb/...)

3. expanded_transfer_procedural_v1/

Public procedural subset of the paper's expanded transfer evaluation suite.

Path	Description
predeclared_manifest.json	Eligibility manifest (procedural cases only)
targets.json	Ground-truth targets (136 procedural cases)
scenes/procedural/	Authored structured scene states for each case

NVIDIA Isaac for Healthcare: reproduction scope

This release distinguishes between the fully public Procedural evaluation and the Isaac for Healthcare evaluation, which depends on separately licensed NVIDIA software and assets.

1. Procedural experiments — fully reproducible

The procedural training data, frozen train/validation/test split, structured procedural scenes, CF-SupportNet checkpoints, and the Procedural subset of the expanded transfer evaluation are publicly released.

The public expanded-transfer subset contains 136 Procedural cases. These artifacts support end-to-end reproduction of the released Procedural experiments.

2. Isaac for Healthcare — NVIDIA software and assets are required

The MedPhyGraph paper also reports experiments in NVIDIA Isaac for Healthcare environments.

NVIDIA Isaac for Healthcare assets, USD/USDA/USDC files, meshes, textures, and Isaac-derived structured scene states are not redistributed in this release.

Users interested in running MedPhyGraph with Isaac for Healthcare must obtain the required NVIDIA Isaac Sim / Isaac for Healthcare software and assets directly from NVIDIA under the applicable NVIDIA license terms.

The public MedPhyGraph codebase contains relevant components for working with locally installed Isaac environments, but the complete paper-frozen Isaac scene generation workflow is not currently packaged as a standalone end-to-end public pipeline.

3. Scope of the paper-frozen Isaac evaluation

The paper's expanded transfer evaluation contains 217 cases in total:

• 136 Procedural cases
• 81 Isaac for Healthcare cases

This repository redistributes the 136 Procedural cases only. The 81 Isaac cases and their corresponding structured scene states are not included.

Accordingly, the exact Isaac results reported in the paper should not be expected to be reproducible from the currently released public artifacts alone. Reconstructing that portion requires the appropriate NVIDIA software and assets as well as additional MedPhyGraph generation tooling.

This limitation does not affect reproduction of the publicly released Procedural experiments.

Expected layout after download

Mirror paths relative to the MedPhyGraph code repository:

outputs/dyphygraph_health/dataset_hard/              # from training_data/
outputs/dyphygraph_health/scenes_twinworld_phase2/   # from procedural_scenes/
outputs/reviewer_response/expanded_transfer_procedural_v1/

Integrity

• SHA256SUMS.txt — per-file SHA256 digests
• MANIFEST.json — public metadata index (relative paths only)

Not included

Artifact	Reason
scenes_twinworld_i4h_dynamic/	Isaac-derived structured states — not redistributed
Isaac expanded-transfer cases (81)	Isaac-derived — excluded from public subset
NVIDIA / i4h USD assets	Third-party license
Canonical rebuild outputs/medphygraph/	Different research track

Citation

@inproceedings{gholizadeh2026medphygraph,
  title={MedPhyGraph: Counterfactual Support-Graph Maintenance for Dynamic Built-Environment Digital Twins},
  author={Gholizadeh HamlAbadi, Kamran and Vahdati, Monica and El Saddik, Abdulmotaleb},
  booktitle={ECCV 2026 TwinWorld Workshop},
  year={2026}
}

License

This dataset is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0). See the LICENSE file in the MedPhyGraph code repository or https://creativecommons.org/licenses/by/4.0/.

Third-party NVIDIA Isaac for Healthcare assets are not included and are not covered by this license.