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

Laura Heacock

NYU Langone Health

ORCID: 0000-0002-0900-0459
MedicineComputer Science

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 4%percentile
0.577Author DataRank

Indexed papers

3in 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 3 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.

FastMRI Breast: A Publicly Available Radial k-Space Dataset of Breast Dynamic Contrast-enhanced MRI

Radiology Artificial Intelligence(2025)10.1148/ryai.240345
Top 51%
0.344DataRank
Top 51%5 citations

Patricia M. Johnson, Zhengguo Tan, Radhika Tibrewala, Yvonne W. Lui, Florian Knöll +4 more

Papers

Driven by 16 papers — median percentile 28. Top paper: “FastMRI Breast: A Publicly Available Radial k-Space Dataset of Breast Dynamic Contrast-enhanced MRI”.

FastMRI Breast: A Publicly Available Radial k-Space Dataset of Breast Dynamic Contrast-enhanced MRI

Radiology Artificial Intelligence(2025)10.1148/ryai.240345
Top 51%
0.344DataRank
Top 51%5 citations

Patricia M. Johnson, Zhengguo Tan, Radhika Tibrewala, Yvonne W. Lui, Florian Knöll +4 more

Digital reference object toolkit of breast DCE MRI for quantitative evaluation of image reconstruction and analysis methods

Magnetic Resonance in Medicine(2024)10.1002/mrm.30152
Top 72%
0.118DataRank
Top 72%1 citations

Zhengguo Tan, Eddy Solomon, Zhengnan Huang, Laura Heacock, Linda Moy +3 more

fastMRI Breast: A publicly available radial k-space dataset of breast dynamic contrast-enhanced MRI

arXiv (Cornell University)(2024)10.48550/arxiv.2406.05270
Top 72%
0.115DataRank
Top 72%1 citations

Patricia M. Johnson, Zhengguo Tan, Radhika Tibrewala, Yvonne W. Lui, Florian Knöll +4 more

Artificial Intelligence System Reduces False-Positive Findings in the Interpretation of Breast Ultrasound Exams

medRxiv(2021)10.1101/2021.04.28.21256203
N/A
0DataRank · unranked
20 citations

Farah E. Shamout, Jamie R. Oliver, Jan Witowski, Kawshik Kannan, Jungkyu Park +24 more

Improving breast cancer diagnostics with deep learning for MRI

Science Translational Medicine(2022)10.1126/scitranslmed.abo4802
N/A
0DataRank · unranked
128 citations

Laura Heacock, Beatriu Reig, Stella K. Kang, Alana A. Lewin, Kristine Pysarenko +8 more

Differences between human and machine perception in medical diagnosis

Scientific Reports(2022)10.1038/s41598-022-10526-z
N/A
0DataRank · unranked
31 citations

Stanisław Jastrzȩbski, Witold Oleszkiewicz, Celin Chacko, Robin Ehrenpreis, Naziya Samreen +16 more

Estimation of the capillary level input function for dynamic contrast‐enhanced MRI of the breast using a deep learning approach

Magnetic Resonance in Medicine(2022)10.1002/mrm.29148
N/A
0DataRank · unranked
5 citations

Zhengnan Huang, Florian Knöll, Krzysztof J. Geras, Terlika Pandit Sood, Li Feng +4 more

Improving breast cancer diagnostics with artificial intelligence for MRI

medRxiv(2022)10.1101/2022.02.07.22270518
N/A
0DataRank · unranked
5 citations

Laura Heacock, Beatriu Reig, Stella K. Kang, Alana A. Lewin, Kristine Pyrasenko +8 more

An Efficient Deep Neural Network to Classify Large 3D Images With Small Objects

IEEE Transactions on Medical Imaging(2023)10.1109/tmi.2023.3302799
N/A
0DataRank · unranked
8 citations

Jakub Chłędowski, Stanisław Jastrzȩbski, Jan Witowski, Yanqi Xu, Linda Du +17 more

Leveraging Transformers to Improve Breast Cancer Classification and Risk Assessment with Multi-modal and Longitudinal Data

arXiv (Cornell University)(2023)10.48550/arxiv.2311.03217
N/A
0DataRank · unranked
10 citations

Jungkyu Park, Frank Yeung, Goldberg, Eliana, Laura Heacock, Farah E. Shamout +2 more

Improving Information Extraction from Pathology Reports using Named Entity Recognition

Research Square(2023)10.21203/rs.3.rs-3035772/v1
N/A
0DataRank · unranked
7 citations

Tarun Dutt, Jan Witowski, Kranthi Kiran GV, Frank Yeung, Michelle Kim +15 more

Understanding differences in applying DETR to natural and medical images

The Journal of Machine Learning for Biomedical Imaging(2025)10.59275/j.melba.2025-g137
N/A
0DataRank · unranked
2 citations

Yiqiu Shen, Carlos Fernandez‐Granda, Laura Heacock, Krzysztof J. Geras, Yanqi Xu

An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization

Medical Image Analysis(2020)10.1016/j.media.2020.101908
N/A
0DataRank · unranked
205 citations

Nan Wu, Jason Phang, Jungkyu Park, Kangning Liu, Sudarshini Tyagi +6 more

Evaluating Generative Artificial Intelligence as an Educational Tool for Radiology Resident Report Drafting

Journal of the American College of Radiology(2025)10.1016/j.jacr.2025.12.024
N/A
0DataRank · unranked
0 citations

Aidan Cardall, Fardeen Siddiqui, Motaz Nashawaty, Danielle Rigau, Young Joon Kwon +8 more

Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams

Nature Communications(2021)10.1038/s41467-021-26023-2
N/A
0DataRank · unranked
259 citations

Farah E. Shamout, Jamie R. Oliver, Jan Witowski, Kawshik Kannan, Jungkyu Park +24 more

Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms

Journal of Digital Imaging(2021)10.1007/s10278-021-00530-6
N/A
0DataRank · unranked
11 citations

Zhe Huang, Yiqiu Shen, Jungkyu Park, Jason Phang, Taro Makino +6 more