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convert_labels_back_to_BraTS

Syntologyentry name in harvested coderead from the graph 2026-09-24

convert_labels_back_to_BraTS appears in the code Syntology harvested for 11 papers, as 2 distinct code bodies found in 11 places (a place is one code body under one paper). At least one of them ran in 1 of the papers; 1 of the code bodies carries a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named convert_labels_back_to_BraTS do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 1 of the 2 distinct code bodies named convert_labels_back_to_BraTS; 1 is unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
1ran
1unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 1 of the 11 places is pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

11 papers shown of 11, newest first; 11 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive, and the graph's for 2 papers added by Syntology. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
Self-Supervised Multi-Stage Domain Unlearning for White-Matter Lesion Segmentation added by Syntology 2026-03 (from id) Pubec/nnunetv2-unlearning/nnunetv2/dataset_conversion/Dataset137_BraTS21.py a2c8b38ba9393780 unverified Apache-2.0 (permissive)
Anatomy Aware Cascade Network: Bridging Epistemic Uncertainty and Geometric Manifold for 3D Tooth Segmentation added by Syntology 2026-01 (from id) shiliu0114/AACNet/nnunetv2/dataset_conversion/Dataset042_BraTS18.py a2c8b38ba9393780 unverified Apache-2.0 (permissive)
Automating High Quality RT Planning at Scale 21 Jan 2025 riqianggao/gdp-hmm_aapmchallenge/mednext/nnunet_mednext/dataset_conversion/Task032_BraTS_2018.py a2c8b38ba9393780 unverified MIT (permissive)
AnatoMask: Enhancing Medical Image Segmentation with Reconstruction-guided Self-masking 9 Jul 2024 ricklisz/anatomask/nnunetv2/dataset_conversion/Dataset137_BraTS21.py 33adf3650aa33afe ran fingerprinted MIT (permissive)
nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation 15 Apr 2024 DeepMicroscopy/nnUNet/nnunetv2/dataset_conversion/Dataset042_BraTS18.py a2c8b38ba9393780 unverified Apache-2.0 (permissive)
LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation 8 Mar 2024 mrblankness/lightm-unet/lightm-unet/nnunetv2/dataset_conversion/Dataset137_BraTS21.py a2c8b38ba9393780 unverified Apache-2.0 (permissive)
Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining 5 Feb 2024 jiarunliu/swin-umamba/swin_umamba/nnunetv2/dataset_conversion/Dataset137_BraTS21.py a2c8b38ba9393780 unverified Apache-2.0 (permissive)
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation 7 Dec 2023 boqian333/e2enet-medical/e2enet/dataset_conversion/Task032_BraTS_2018.py a2c8b38ba9393780 unverified no licence file found · pointer only
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation 17 Mar 2023 MIC-DKFZ/MedNeXt/nnunet_mednext/dataset_conversion/Task032_BraTS_2018.py a2c8b38ba9393780 unverified Apache-2.0 (permissive)
MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation 10 May 2022 zfdong-code/MNet/MNet_inserted_into_nnUNet/nnUNet/nnunet/dataset_conversion/Task032_BraTS_2018.py a2c8b38ba9393780 unverified Apache-2.0 (permissive)
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision 2 Jun 2021 yhuang1997/3D-CPS/nnunet/dataset_conversion/Task032_BraTS_2018.py a2c8b38ba9393780 unverified Apache-2.0 (permissive)

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

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