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

Sarah Eskreis‐Winkler

Memorial Sloan Kettering Cancer Center

ORCID: 0000-0003-2427-3532
MedicineComputer ScienceBiochemistry, Genetics and Molecular Biology

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 2%percentile
2.3Author DataRank

Indexed papers

2in 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 2 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.

Integrating Eye Tracking and Speech Recognition Accurately Annotates MR Brain Images for Deep Learning: Proof of Principle

Radiology Artificial Intelligence(2020)10.1148/ryai.2020200047
Top 14%
1.4DataRank
Top 14%29 citations

Haydar Çelik, David Gutman, Nathaniel Swinburne, Robert J. Young, Sarah Eskreis‐Winkler +7 more

Papers

Driven by 15 papers — median percentile 81. Top paper: “Integrating Eye Tracking and Speech Recognition Accurately Annotates MR Brain Images for Deep Learning: Proof of Principle”.

Integrating Eye Tracking and Speech Recognition Accurately Annotates MR Brain Images for Deep Learning: Proof of Principle

Radiology Artificial Intelligence(2020)10.1148/ryai.2020200047
Top 14%
1.4DataRank
Top 14%29 citations

Haydar Çelik, David Gutman, Nathaniel Swinburne, Robert J. Young, Sarah Eskreis‐Winkler +7 more

A Survey of Publicly Available MRI Datasets for Potential Use in Artificial Intelligence Research

Journal of Magnetic Resonance Imaging(2023)10.1002/jmri.29101
Top 24%
0.846DataRank
Top 24%18 citations

Bala McRae‐Posani, Arka Bhowmik, Maxine S. Jochelson, Andrei I. Holodny, Katja Pinker +3 more

Quantitative transport mapping (QTM) for differentiating benign and malignant breast lesion: Comparison with traditional kinetics modeling and semi-quantitative enhancement curve characteristics.

Magnetic Resonance Imaging(2021)10.1016/j.mri.2021.10.039
N/A
0.449DataRank · unranked
19 citations

Pascal Spincemaille, Michele Drotman, Christine Chen, Sarah Eskreis‐Winkler, Weiyuan Huang +6 more

Differentiation Between Benign and Metastatic Breast Lymph Nodes Using Apparent Diffusion Coefficients

Frontiers in Oncology(2022)10.3389/fonc.2022.795265
N/A
0.416DataRank · unranked
15 citations

Sunitha B. Thakur, Varadan Sevilimedu, João V. Horvat, Roberto Lo Gullo, Jeffrey S. Reiner +4 more

Racial Disparities in Preoperative Breast MRI Use and Surgical Margin Outcomes among Patients with Recently Diagnosed Breast Cancer

Radiology Imaging Cancer(2024)10.1148/rycan.240010
N/A
0.208DataRank · unranked
3 citations

Lynn Han, Jeffrey S. Reiner, Victoria L. Mango, Varadan Sevilimedu, Katja Pinker +4 more

Breast MRI Background Parenchymal Enhancement Categorization Using Deep Learning: Outperforming the Radiologist

Journal of Magnetic Resonance Imaging(2022)10.1002/jmri.28111
N/A
0DataRank · unranked
28 citations

Elizabeth J. Sutton, Donna D’Alessio, Katherine Gallagher, Nicole B. Saphier, Joseph N. Stember +4 more

Artificial Intelligence-Enhanced Breast MRI

Investigative Radiology(2023)10.1097/rli.0000000000001010
N/A
0DataRank · unranked
21 citations

Eric Marcus, Jorge Huayanay, Sarah Eskreis‐Winkler, Sunitha B. Thakur, Jonas Teuwen +2 more

Automated Triage of Screening Breast MRI Examinations in High-Risk Women Using an Ensemble Deep Learning Model

Investigative Radiology(2023)10.1097/rli.0000000000000976
N/A
0DataRank · unranked
17 citations

Natasha Monga, Kristin Belen, Keitha Varela, Varadan Sevilimedu, Sunitha B. Thakur +5 more

Deuterium MR spectroscopy: potential applications in oncology research

BJR|Open(2023)10.1093/bjro/tzae019
N/A
0DataRank · unranked
4 citations

Arka Bhowmik, Eduardo Flavio De Lacerda Marcal Filho, Roberto Lo Gullo, Yousef Mazaheri, Panagiotis Kapetas +5 more

Breast MRI in patients with implantable loop recorder: initial experience

European Radiology(2023)10.1007/s00330-023-10025-3
N/A
0DataRank · unranked
3 citations

Rosa Elena Ochoa-Albiztegui, Hila Fruchtman, Jill S. Gluskin, Sarah Eskreis‐Winkler, João V. Horvat +5 more

AI Applications to Breast MRI: Today and Tomorrow

Journal of Magnetic Resonance Imaging(2024)10.1002/jmri.29358
N/A
0DataRank · unranked
16 citations

Joren Brunekreef, Eric Marcus, Lynn Han, Sarah Eskreis‐Winkler, Sunitha B. Thakur +5 more

Early Detection of Breast Cancer in MRI Using AI

Academic Radiology(2024)10.1016/j.acra.2024.10.014
N/A
0DataRank · unranked
16 citations

Yu Huang, Hernán A. Makse, Danny F. Martinez, Mary Hughes, Sarah Eskreis‐Winkler +5 more

Robustness of Deep Networks for Mammography: Replication Across Public Datasets

Journal of Imaging Informatics in Medicine(2024)10.1007/s10278-023-00943-5
N/A
0DataRank · unranked
14 citations

Clarissa Lin, Sarah Eskreis‐Winkler, Lucas C. Parra, Osvaldo Matías Velarde

Assessment of Hypoxia in Breast Cancer: Emerging Functional MR Imaging and Spectroscopy Techniques and Clinical Applications

Journal of Magnetic Resonance Imaging(2024)10.1002/jmri.29424
N/A
0DataRank · unranked
3 citations

Arka Bhowmik, Dibash Basukala, Roberto Lo Gullo, Yousef Mazaheri, Panagiotis Kapetas +4 more

Multispectral Imaging for Metallic Biopsy Marker Detection During MRI-Guided Breast Biopsy: A Feasibility Study for Clinical Translation

Frontiers in Oncology(2021)10.3389/fonc.2021.605014
N/A
0DataRank · unranked
1 citations

Katherine Simon, Melissa Reichman, Pascal Spincemaille, Thanh D. Nguyen, Paul J. Christos +7 more