Pith Number

pith:SDCNA32C

pith:2021:SDCNA32CS7RKQBYVJTA5QNXUUM

not attested not anchored not stored refs resolved

The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification

Aanchal Agarwal, Abhishek Mahajan, Achint K. Singh, Adam E. Flanders, Ahmed W. Moawad, Aikaterini Kotrotsou, Akm Rahman, Alexandru Dusoi, Alida A. Postma, Amit K. Agarwal, Andras Jakab, Anthony F. Miller, Arash Nazeri, Asako Miyakoshi, Atin Saha, Benedikt Wiestler, Bjoern Menze, Bojan D. Petrovic, Brent D. Weinberg, Chiharu Sako, Chintan Shah, Christie Lincoln, Christopher Hess, Christos Davatzikos, Cristina H. Besada, Daniel D. Do-Dai, Daniel Marcus, David Joyner, Elka Miller, Errol Colak, Evan Calabrese, Eyal Lotan, Fanny E. Moron, Felipe C. Kitamura, Gagandeep Choudhary, Gloria J. Guzman Perez-Carrillo, Greg Zaharchuk, Hassan Fathallah-Shaykh, Ichiro Ikuta, Jamal J. Derakhshan, James Eddy, James R. Mason, Javier Villanueva-Meyer, Jaya Nath, Jayashree Kalpathy-Cramer, Jeffrey D. Rudie, Jiaxin Zheng, Johanna Ortiz Jimenez, John B. Freymann, John L. Go, John Mongan, Juan E. Small, Julia Elliott, Justin S. Kirby, Kerem Ozturk, Keyvan Farahani, Laurent Letourneau-Guillon, Loizos Siakallis, Lubdha M. Shah, Luciano Farage, Luciano M. Prevedello, Luiz Otavio Coelho, Manal Nicolas-Jilwan, Manas Sharma, Marc-Andre Weber, Mariana C. Diogo, Mariana Sanchez-Montano, Mark C. Oswood, Michael Iv, Michel Bilello, Mikhail Milchenko, Milos M. Cekic, Mohiuddin Hadi, Neetu Soni, Olivia McDonnell, Onur Simsek, Priscila Crivellaro, Richard Silbergleit, Rivka R. Colen, Robert J. Young, Robert Y. Shih, Roland Wiest, Rong Chai, Russell T. Shinohara, Salil Soman, Sarthak Pati, Satyam Ghodasara, Soonmee Cha, Spyridon Bakas, Suyash Mohan, Sword C. Cambron, Thomas Schaffter, Thomas Yu, Timothy Bergquist, Ujjwal Baid, Vahe M. Zohrabian, Varun Sethi, Virginia B. Hill, Volodymyr Statsevych, Walter Reade, Xuan V. Nguyen, Yingming Chen, Yulia Bronstein

BraTS 2021 supplies a standardized benchmark of 2040 multi-institutional mpMRI cases for evaluating algorithms on glioma sub-region segmentation and MGMT methylation classification.

arxiv:2107.02314 v2 · 2021-07-05 · cs.CV

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Record completeness

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2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

The RSNA-ASNR-MICCAI BraTS 2021 challenge targets the evaluation of computational algorithms assessing the same tumor compartmentalization, as well as the underlying tumor's molecular characterization, in pre-operative baseline mpMRI data from 2,040 patients.

C2weakest assumption

That the multi-institutional mpMRI data has been consistently and accurately annotated for tumor sub-regions and MGMT status across all 2,040 cases, enabling fair algorithmic comparison.

C3one line summary

BraTS 2021 provides a 2,040-patient mpMRI benchmark for brain tumor sub-region segmentation and MGMT methylation classification, hosted on Synapse and Kaggle with $60,000 in awards.

References

47 extracted · 47 resolved · 1 Pith anchors

[1] cimpact-now: a practical summary of diagnostic points from round 1 updates, 2019

[2] cimpact-now update 1: not otherwise speciﬁed (nos) and not elsewhere classiﬁed (nec), 2018

[3] cimpact-now update 2: diagnostic clariﬁcations for diﬀuse midline glioma, h3 k27m-mutant and diﬀuse astrocytoma/anaplastic astrocytoma, idh-mutant, 2018

[4] cimpact- now update 3: recommended diagnostic criteria for “diﬀuse astrocytic glioma, idh-wildtype, with molecular features of glioblastoma, who grade iv 2018

[5] cimpact-now update 4: diﬀuse gliomas characterized by myb, mybl1, or fgfr1 alterations or braf v600e mutation, 2019

Formal links

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Cited by

38 papers in Pith

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D3Seg: Dependency-Aware Diffusion for Brain Tumor Segmentation with Missing Modalities

SegGuidedNet: Sub-Region-Aware Attention Supervision for Interpretable Brain Tumor Segmentation

Receipt and verification

First computed	2026-05-17T23:39:21.620595Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

90c4d06f4297e2a807154cc1d836f4a313b76284576468d16ca9807bc3d0f084

Aliases

arxiv: 2107.02314 · arxiv_version: 2107.02314v2 · doi: 10.48550/arxiv.2107.02314 · pith_short_12: SDCNA32CS7RK · pith_short_16: SDCNA32CS7RKQBYV · pith_short_8: SDCNA32C

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/SDCNA32CS7RKQBYVJTA5QNXUUM \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 90c4d06f4297e2a807154cc1d836f4a313b76284576468d16ca9807bc3d0f084

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "634ac85ad8ac00002f5782ec0b433d79a7fb1fbe7a32c047dd8eaa2ef604145a",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2021-07-05T23:12:06Z",
    "title_canon_sha256": "7c5eb3bf743ca4c754358bdcd74699c624880476fb3576fcf90c43b400085628"
  },
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  "source": {
    "id": "2107.02314",
    "kind": "arxiv",
    "version": 2
  }
}