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

Maryse Lapierre-Landry

Case Western Reserve University

ORCID: 0000-0002-9583-6876
EngineeringMedicineBiochemistry, 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 4%percentile
0.681Author DataRank

Indexed papers

1in 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 1 indexed paper 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.

Deep-learning segmentation of fascicles from microCT of the human vagus nerve

Frontiers in Neuroscience(2023)10.3389/fnins.2023.1169187
Top 29%
0.681DataRank
Top 29%15 citations

Maryse Lapierre-Landry, Chaitanya Kolluru, Aniruddha Upadhye, Daniel P Marshall, Nicole A. Pelot +6 more

Papers

Driven by 9 papers — median percentile 71. Top paper: “Deep-learning segmentation of fascicles from microCT of the human vagus nerve”.

Deep-learning segmentation of fascicles from microCT of the human vagus nerve

Frontiers in Neuroscience(2023)10.3389/fnins.2023.1169187
Top 29%
0.681DataRank
Top 29%15 citations

Maryse Lapierre-Landry, Chaitanya Kolluru, Aniruddha Upadhye, Daniel P Marshall, Nicole A. Pelot +6 more

Semi-automated shear stress measurements in developing embryonic hearts

Biomedical Optics Express(2020)10.1364/boe.395952
N/A
0DataRank · unranked
3 citations

Brecken J. Blackburn, Maryse Lapierre-Landry, Shi Gu, Andrew M. Rollins, Michael W. Jenkins +1 more

Nuclei Detection for 3D Microscopy With a Fully Convolutional Regression Network

IEEE Access(2021)10.1109/access.2021.3073894
N/A
0DataRank · unranked
14 citations

Zexuan Liu, Shan Ling, Mahdi Bayat, David L. Wilson, Michael W. Jenkins +1 more

Digital labeling for 3D histology: segmenting blood vessels without a vascular contrast agent using deep learning

Biomedical Optics Express(2023)10.1364/boe.480230
N/A
0DataRank · unranked
13 citations

Yehe Liu, Mahdi Bayat, David L. Wilson, Michael W. Jenkins, Maryse Lapierre-Landry

Segmentation of beating embryonic heart structures from 4-D OCT images using deep learning

INDIGO (University of Illinois at Chicago)(2023)10.1364/opticaopen.21973721.v1
N/A
0DataRank · unranked
0 citations

Brecken J. Blackburn, Michael W. Jenkins, Michiko Watanabe, Stephanie Ford, Maryse Lapierre-Landry +2 more

Segmentation of beating embryonic heart structures from 4-D OCT images using deep learning

(2023)10.1364/opticaopen.21973721
N/A
0DataRank · unranked
0 citations

Brecken J. Blackburn, Michael W. Jenkins, Michiko Watanabe, Stephanie Ford, Maryse Lapierre-Landry +2 more

Segmentation of beating embryonic heart structures from 4-D OCT images using deep learning

Biomedical Optics Express(2023)10.1364/boe.481657
N/A
0DataRank · unranked
0 citations

Brecken J. Blackburn, Michael W. Jenkins, Michiko Watanabe, Stephanie Ford, Maryse Lapierre-Landry +2 more

Three-dimensional alignment of microvasculature and cardiomyocytes in the developing ventricle

Scientific Reports(2020)10.1038/s41598-020-71816-y
N/A
0DataRank · unranked
8 citations

Hana Kolesová, Yehe Liu, Michiko Watanabe, Michael W. Jenkins, Maryse Lapierre-Landry

Quantifying the Corneal Nerve Whorl Pattern

Translational Vision Science & Technology(2024)10.1167/tvst.13.12.11
N/A
0DataRank · unranked
3 citations

Eric Hsueh-Chan Lu, Matthew T. McPheeters, Made Airanthi K. Widjaja‐Adhi, David L. Wilson, Rony R. Sayegh +4 more