🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Keyvan Farahani

Montreal Neurological Institute and Hospital

ORCID: 0000-0003-2111-1896
MedicineComputer ScienceEngineering

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 1%percentile
11.4Author DataRank

Indexed papers

8in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 8 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

The Medical Segmentation Decathlon

Nature Communications(2022)10.1038/s41467-022-30695-9
Top 3%
6.9DataRank
Top 3%1226 citations

Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp‐Schneider, Bennett A. Landman +53 more

Papers

Driven by 22 papers — median percentile 57. Top paper: “Metrics reloaded: recommendations for image analysis validation”.

Metrics reloaded: recommendations for image analysis validation

Nature Methods(2024)10.1038/s41592-023-02151-z
N/A
9.2DataRank · unranked
411 citations

Annika Reinke, Patrick Godau, Minu D. Tizabi, Florian Buettner, Evangelia Christodoulou +68 more

The Medical Segmentation Decathlon

Nature Communications(2022)10.1038/s41467-022-30695-9
Top 3%
6.9DataRank
Top 3%1226 citations

Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp‐Schneider, Bennett A. Landman +53 more

Common Limitations of Image Processing Metrics: A Picture Story

arXiv (Cornell University)(2021)10.48550/arxiv.2104.05642
N/A
3.4DataRank · unranked
87 citations

Minu D. Tizabi, Carole H. Sudre, Matthias Eisenmann, Tim Rädsch, Baumgartner, Michael +88 more

Standardization in Quantitative Imaging: A Multicenter Comparison of Radiomic Features from Different Software Packages on Digital Reference Objects and Patient Data Sets

Tomography(2020)10.18383/j.tom.2019.00031
Top 9%
2.4DataRank
Top 9%75 citations

Sandy Napel, Arjun Jaggi, Sarah A. Mattonen, Lubomir M. Hadjiiski, Mark Muzi +24 more

Understanding metric-related pitfalls in image analysis validation

Nature Methods(2024)10.1038/s41592-023-02150-0
N/A
0.783DataRank · unranked
184 citations

Minu D. Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, Ali Emre Kavur +65 more

Metrics reloaded: Recommendations for image analysis validation

arXiv (Cornell University)(2022)10.48550/arxiv.2206.01653
N/A
0.621DataRank · unranked
62 citations

Annika Reinke, Patrick Godau, Minu D. Tizabi, Florian Buettner, Evangelia Christodoulou +69 more

The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma

arXiv (Cornell University)(2023)10.48550/arxiv.2305.07642
N/A
0.494DataRank · unranked
26 citations

Maruf Adewole, Michelle Alonso‐Basanta, Talissa A. Altes, Syed Muhammad Anwar, Ujjwal Baid +55 more

Summary of the National Cancer Institute 2023 Virtual Workshop on Medical Image De-identification—Part 2: Pathology Whole Slide Image De-identification, De-facing, the Role of AI in Image De-identification, and the NCI MIDI Datasets and Pipeline

Journal of Imaging Informatics in Medicine(2024)10.1007/s10278-024-01183-x
Top 40%
0.470DataRank
Top 40%10 citations

Adam Taylor, Tom Bisson, David A. Gutman, Ying Xiao, Christopher G. Schwarz +7 more

NCI Cancer Research Data Commons: Resources to Share Key Cancer Data

Cancer Research(2024)10.1158/0008-5472.can-23-2468
Top 41%
0.464DataRank
Top 41%21 citations

Tanja M. Davidsen, Gina Kuffel, KanakaDurga Addepalli, Amanda Bell, Esmeralda Casas-Silva +19 more

The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)

arXiv (Cornell University)(2024)10.48550/arxiv.2404.15009
N/A
0.450DataRank · unranked
8 citations

Nastaran Khalili, Xinyang Liu, Deep Gandhi, Zhifan Jiang, Syed Muhammed Anwar +66 more

MICCAI Brain Tumor Segmentation (BraTS) 2020 Benchmark: "Prediction of Survival and Pseudoprogression"

Zenodo (CERN European Organization for Nuclear Research)(2020)10.5281/zenodo.3718904
Top 44%
0.420DataRank
Top 44%4 citations

Bjoern Menze, Christos Davatzikos, Jayashree Kalpathy–Cramer, Keyvan Farahani, Michel Bilello +18 more

A multi-institutional pediatric dataset of clinical radiology MRIs by the Children's Brain Tumor Network

PubMed(2023)10.48550/arxiv.2310.01413
Top 45%
0.413DataRank
Top 45%6 citations

Anahita Fathi Kazerooni, Hannah Anderson, Aliaksandr Lubneuski, Karthik Viswanathan, Rocky Breslow +35 more

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)

arXiv (Cornell University)(2023)10.48550/arxiv.2305.09011
N/A
0.385DataRank · unranked
12 citations

Gian Marco Conte, Hu, Qingqiao, Syed Muhammad Anwar, Florian Kofler, Ivan Ezhov +60 more

AI-Generated Annotations Dataset for Diverse Cancer Radiology Collections in NCI Image Data Commons

Scientific Data(2024)10.1038/s41597-024-03977-8
Top 48%
0.379DataRank
Top 48%8 citations

McCrumb, Diana, Mariam Aboian, Leon Jekel, Soni, Rahul, Fatima Memon +8 more

The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI

The Journal of Machine Learning for Biomedical Imaging(2025)10.59275/j.melba.2025-9bd3
Top 49%
0.361DataRank
Top 49%7 citations

Anastasia Janas, Ujjwal Baid, Divya Ramakrishnan, Rachit Saluja, Nader A. Fawzy +95 more

Summary of the National Cancer Institute 2023 Virtual Workshop on Medical Image De-identification—Part 1: Report of the MIDI Task Group - Best Practices and Recommendations, Tools for Conventional Approaches to De-identification, International Approaches to De-identification, and Industry Panel on Image De-identification

Journal of Imaging Informatics in Medicine(2024)10.1007/s10278-024-01182-y
N/A
0DataRank · unranked
6 citations

Fred Prior, Michael Rutherford, Stephen Moore, William Parker, Haridimos Kondylakis +9 more

Challenges in image-guided therapy system design

UNC Libraries(2020)10.17615/he85-ae23
N/A
0DataRank · unranked
0 citations

Ron Kikinis, Gábor Fichtinger, Heinz U. Lemke, William E. Lorensen, Keyvan Farahani +19 more

Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches

UNC Libraries(2025)10.17615/k55d-nq81
N/A
0DataRank · unranked
0 citations

Qian Wang, Avinash Kori, Mahendra Khened, Tianhao Zhao, Keyvan Farahani +19 more

Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches

Frontiers in Neuroscience(2020)10.3389/fnins.2020.00027
N/A
0DataRank · unranked
98 citations

Spyridon Bakas, Xuhua Ren, Aditya Bagari, Alexandre Momeni, Yue Huang +19 more

Nanoparticles for cancer imaging: The good, the bad, and the promise

UNC Libraries(2020)10.17615/9f4f-ta89
N/A
0DataRank · unranked
0 citations

John B. Weaver, Stęphan T. Stern, S. C. Chapman, Gayle E. Woloschak, Ravi P. Singh +12 more

End-to-end reproducible AI pipelines in radiology using the cloud

Nature Communications(2024)10.1038/s41467-024-51202-2
N/A
0DataRank · unranked
14 citations

Leonard Nuernberg, Suraj Pai, Deepa Krishnaswamy, Vamsi Thiriveedhi, Ahmed Hosny +6 more

Operational Ontology for Oncology (O3): A Professional Society-Based, Multistakeholder, Consensus-Driven Informatics Standard Supporting Clinical and Research Use of Real-World Data From Patients Treated for Cancer

International Journal of Radiation Oncology*Biology*Physics(2023)10.1016/j.ijrobp.2023.05.033
N/A
0DataRank · unranked
36 citations

Mary Feng, Kristy K. Brock, Randi Kudner, Peter Balter, Jeffrey C. Buchsbaum +48 more