---
title: "BraTS: papers using this data, journals and trends"
description: "From Nov 2023 to Oct 2026, 224 archived papers mentioned BraTS in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Oct 2025 (11)."
url: https://scholar4ai.com/datasets/brats
markdown_url: https://scholar4ai.com/datasets/brats.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 224 archived papers mentioned BraTS in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Oct 2025 (11). (as of 2026-11-05)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-05T06:02:37+09:00
window: 2026-10-07 to 2026-11-05
source: OpenAlex (CC0)
---

# BraTS

[Browse dataset profiles](https://scholar4ai.com/datasets/directory.md)

Clinical records, medical images and physiological signals used in medical machine learning.

- data category: Medical and clinical datasets
- 0 papers in the last 7 days
- Names searched for: BraTS

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Medical and clinical datasets datasets: https://scholar4ai.com/datasets/medical-and-clinical-datasets.md



## Key findings

- From Nov 2023 to Oct 2026, 224 archived papers mentioned BraTS in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Oct 2025 (11).
- BraTS was mentioned in 1 paper in the last 30 days (2026-10-07 to 2026-11-05), ranking #165 of the 246 datasets mentioned.
- By journal category: AI (1).
- Most of them appeared in Knowledge and Information Systems (1).
- From 2017 to 2026 (so far), BraTS was mentioned in 272 papers in the tracked journals, most of them in AI (229), management (13) and health economics and policy (8).
- 75 of them were published in 2025, against 2 in 2017.
- Since 2023, the institutions with the most of these papers were Université de Rouen Normandie (9), Hangzhou Normal University (8) and Analyse Intégrée Multimodale en Santé (7).
- The journals publishing most of them were Expert Systems with Applications (27), Pattern Recognition (21) and Neural Computing and Applications (21).
- The most-cited of them is “Medical Image Segmentation Review: The Success of U-Net” (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024), with 1,065 citations.
- Papers use BraTS most often with TCGA (27), ImageNet (26) and Kaggle (18); it has 25 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.

## Mentions over 36 months

*Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)*

| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---:|---:|---:|---:|
|  | 69 | 69 | 86 | 224 |

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [AI](https://scholar4ai.com/categories/ai.md) | 2 | 1 | 3 | 7 | 6 | 14 | 16 | 58 | 66 | 56 |
| [Management](https://scholar4ai.com/categories/management.md) | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 4 | 3 |
| [Health Economics and Policy](https://scholar4ai.com/categories/health-economics-and-policy.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 4 |
| [Economics](https://scholar4ai.com/categories/economics.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 3 |
| [Higher Education and Research](https://scholar4ai.com/categories/higher-education-and-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 2 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 0 |
| [Finance](https://scholar4ai.com/categories/finance.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| [Tourism and Hospitality](https://scholar4ai.com/categories/tourism-and-hospitality.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| All categories | 2 | 1 | 3 | 7 | 6 | 14 | 23 | 68 | 75 | 73 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 27 |
| 2 | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 21 |
| 3 | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 21 |
| 4 | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 16 |
| 5 | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 16 |
| 6 | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 14 |
| 7 | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 13 |
| 8 | [Medical Image Analysis](https://scholar4ai.com/journals/medical-image-analysis.md) | 12 |
| 9 | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 7 |
| 10 | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 6 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | Université de Rouen Normandie | 9 |
| 2 | Hangzhou Normal University | 8 |
| 3 | Analyse Intégrée Multimodale en Santé | 7 |
| 4 | [Centre National de la Recherche Scientifique](https://scholar4ai.com/institutions/centre-national-de-la-recherche-scientifique.md) | 6 |
| 5 | [Fudan University](https://scholar4ai.com/institutions/fudan-university.md) | 6 |
| 6 | [Stanford University](https://scholar4ai.com/institutions/stanford-university.md) | 6 |
| 7 | [University of Science and Technology of China](https://scholar4ai.com/institutions/university-of-science-and-technology-of-china.md) | 6 |
| 8 | [Hong Kong University of Science and Technology](https://scholar4ai.com/institutions/hong-kong-university-of-science-and-technology.md) | 5 |
| 9 | [Monash University](https://scholar4ai.com/institutions/monash-university.md) | 5 |
| 10 | [Shenzhen University](https://scholar4ai.com/institutions/shenzhen-university.md) | 5 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 93 |
| 2 | United States | 41 |
| 3 | United Kingdom | 31 |
| 4 | India | 23 |
| 5 | Australia | 18 |
| 6 | France | 18 |
| 7 | Italy | 17 |
| 8 | Canada | 14 |
| 9 | Germany | 14 |
| 10 | Hong Kong | 14 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | brain tumor segmentation | 78 |
| 2 | BraTS | 62 |
| 3 | [medical image segmentation](https://scholar4ai.com/keywords/medical-image-segmentation.md) | 32 |
| 4 | magnetic resonance imaging | 27 |
| 5 | multimodal MRI | 23 |
| 6 | BraTS 2020 | 20 |
| 7 | 3D medical image segmentation | 12 |
| 8 | U-Net | 12 |
| 9 | BraTS 2021 | 11 |
| 10 | [attention mechanism](https://scholar4ai.com/keywords/attention-mechanism.md) | 11 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 1,065 | 40.2 | [Medical Image Segmentation Review: The Success of U-Net](https://doi.org/10.1109/tpami.2024.3435571) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2024-08-21 | Reza Azad, Ehsan Khodapanah Aghdam, Amelie Rauland et al. |
| 2 | 595 | 12.3 | [Brain tumor segmentation based on the fusion of deep semantics and edge information in multimodal MRI](https://doi.org/10.1016/j.inffus.2022.10.022) | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 2022-10-27 | Zhiqin Zhu, Xianyu He, Guanqiu Qi et al. |
| 3 | 522 | 16.4 | [Federated learning for medical image analysis: A survey](https://doi.org/10.1016/j.patcog.2024.110424) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 2024-03-12 | Hao Guan, Pew‐Thian Yap, Andrea Bozoki et al. |
| 4 | 495 | 14.0 | [A comprehensive survey on applications of transformers for deep learning tasks](https://doi.org/10.1016/j.eswa.2023.122666) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 2023-11-22 | Saidul Islam, Hanae Elmekki, Ahmed Elsebai et al. |
| 5 | 292 | 3.9 | [Cross-modality deep feature learning for brain tumor segmentation](https://doi.org/10.1016/j.patcog.2020.107562) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 2020-07-27 | Dingwen Zhang, Guohai Huang, Qiang Zhang et al. |

## Used together with

Papers use BraTS most often with TCGA (27), ImageNet (26) and Kaggle (18); it has 25 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.

*What papers use BraTS together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [TCGA](https://scholar4ai.com/datasets/tcga.md) | Dataset | 27 | 26.2 |
| [ImageNet](https://scholar4ai.com/datasets/imagenet.md) | Dataset | 26 | 1.9 |
| [Kaggle](https://scholar4ai.com/datasets/kaggle.md) | Dataset | 18 | 5.5 |
| [MNIST / Fashion-MNIST](https://scholar4ai.com/datasets/mnist-fashion-mnist.md) | Dataset | 12 | 1.9 |
| [Chest X-ray (CheXpert, ChestX-ray14)](https://scholar4ai.com/datasets/chest-x-ray-chexpert-chestx-ray14.md) | Dataset | 10 | 18.3 |
| [ISIC skin lesion archive](https://scholar4ai.com/datasets/isic-skin-lesion-archive.md) | Dataset | 10 | 18.1 |
| [ADNI](https://scholar4ai.com/datasets/adni.md) | Dataset | 9 | 6.5 |
| [CIFAR-10 / CIFAR-100](https://scholar4ai.com/datasets/cifar-10-cifar-100.md) | Dataset | 9 | 1.1 |
| [Wikipedia](https://scholar4ai.com/datasets/wikipedia.md) | Dataset | 9 | 1.6 |
| [LIDC-IDRI](https://scholar4ai.com/datasets/lidc-idri.md) | Dataset | 6 | 16.0 |
| [MIMIC](https://scholar4ai.com/datasets/mimic.md) | Dataset | 6 | 3.1 |
| [YouTube / TikTok](https://scholar4ai.com/datasets/youtube-tiktok.md) | Dataset | 6 | 0.6 |

The whole network: https://scholar4ai.com/code/network.md

## Papers

*Papers mentioning BraTS in the last 30 days, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-16 | [Evaluating LLMs for named entity recognition: a cost-benefit analysis in the legal domain](https://doi.org/10.1007/s10115-026-02886-z) | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | Shefali Singhal, Eoin O’Connell, Niall McCarroll et al. | University of Ulster; Ulster University, Derry-Londonderry Campus |

## Cite this page

Scholar4AI. (2026). BraTS. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/brats

```bibtex
@misc{scholar4ai-datasets-brats,
  author = {{Scholar4AI}},
  title = {BraTS},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/brats}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).