Donald Brown

Computer ScienceSocial SciencesMedicine

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 5%percentile

0.403Author 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 →

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

Analyzing historical diagnosis code data from NIH N3C and RECOVER Programs using deep learning to determine risk factors for Long Covid

2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)(2022)10.1109/bibm55620.2022.9994851

Top 46%

0.403DataRank

Top 46%8 citations

Johanna J. Loomba, Suchetha Sharma, Donald Brown, Lorna E. Thorpe, Melissa A Haendel +3 more

Papers

Driven by 32 papers — median percentile 54. Top paper: “Analyzing historical diagnosis code data from NIH N3C and RECOVER Programs using deep learning to determine risk factors for Long Covid”.

Analyzing historical diagnosis code data from NIH N3C and RECOVER Programs using deep learning to determine risk factors for Long Covid

2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)(2022)10.1109/bibm55620.2022.9994851

Top 46%

0.403DataRank

Top 46%8 citations

Johanna J. Loomba, Suchetha Sharma, Donald Brown, Lorna E. Thorpe, Melissa A Haendel +3 more

Hierarchical Deep Convolutional Neural Networks for Multi-category Diagnosis of Gastrointestinal Disorders on Histopathological Images

arXiv (Cornell University)(2020)10.1109/ichi48887.2020.9374332

N/A

0.165DataRank · unranked

2 citations

Sodiq Adewole, Lubaina Ehsan, Lee A. Denson, Paul Kelly, Beatrice Amadi +6 more

Machine-learning-based integrative –‘omics analyses reveal immunologic and metabolic dysregulation in environmental enteric dysfunction

iScience(2024)10.1016/j.isci.2024.110013

N/A

0.104DataRank · unranked

1 citations

Xueheng Zhao, Kenneth D.R. Setchell, Yash Sharma, Phillip Fernandes, Sanjana Srivastava +24 more

Embeddings of genomic region sets capture rich biological associations in lower dimensions

Bioinformatics(2021)10.1093/bioinformatics/btab439

N/A

0DataRank · unranked

33 citations

Aaron Gu, Guangtao Zheng, Jason P. Smith, Hyun Jae Cho, Aidong Zhang +3 more

Deep learning systems detect dysplasia with human-like accuracy using histopathology and probe-based confocal laser endomicroscopy

Scientific Reports(2021)10.1038/s41598-021-84510-4

N/A

0DataRank · unranked

26 citations

Tilak Shah, J. Vincent Pulido, Matthew Fasullo, Lubaina Ehsan, Robert Lippman +6 more

HistoTransfer: Understanding Transfer Learning for Histopathology

(2021)10.1109/bhi50953.2021.9508542

N/A

0DataRank · unranked

26 citations

Lubaina Ehsany, Sana Syed, Donald Brown, Yash Sharmay

Combining Multiple Annotations to Count Cells in 3D Cardiovascular Immunofluorescent Images

(2021)10.1109/bhi50953.2021.9508607

N/A

0DataRank · unranked

2 citations

Laura S. Shankman, Donald Brown, William Adorno

Prediction of Celiac Disease Severity and Associated Endocrine Morbidities through Deep Learning-based Image Analytics

medRxiv(2021)10.1101/2021.01.20.21250194

N/A

0DataRank · unranked

0 citations

Marium Khan, Rasoul Sali, Alexis Catalano, William Adorno, Kamran Kowsari +10 more

Neural network methods for diagnosing patient conditions from cardiopulmonary exercise testing data

BioData Mining(2022)10.1186/s13040-022-00299-6

N/A

0DataRank · unranked

12 citations

Suchetha Sharma, James Jablonski, Arthur Weltman, Donald Brown

Functional Data Analysis for Predicting Pediatric Failure to Complete Ten Brief Exercise Bouts

IEEE Journal of Biomedical and Health Informatics(2022)10.1109/jbhi.2022.3206100

N/A

0DataRank · unranked

5 citations

Donald Brown, Yash Sharma, Ronen Bar‐Yoseph, Shlomit Radom‐Aizik, Dan M. Cooper +1 more

Risk Factors Associated with Post-Acute Sequelae of SARS-CoV-2 in an EHR Cohort: A National COVID Cohort Collaborative (N3C) Analysis as part of the NIH RECOVER program

medRxiv(2022)10.1101/2022.08.15.22278603

N/A

0DataRank · unranked

33 citations

Hemal Mehta, Suchetha Sharma, Klint Mane, Catherine Xie, Emily Cathey +14 more

Encoding Cardiopulmonary Exercise Testing Time Series as Images for Classification using Convolutional Neural Network

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)(2022)10.1109/embc48229.2022.9871878

N/A

0DataRank · unranked

18 citations

Nicholas Coronato, Donald Brown, Yash Sharma

Vital Measurements of Hospitalized COVID-19 Patients as a Predictor of Long COVID: An EHR-based Cohort Study from the RECOVER Program in N3C

2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)(2022)10.1109/bibm55620.2022.9995311

N/A

0DataRank · unranked

10 citations

Johanna J. Loomba, Suchetha Sharma, Donald Brown, Sihang Jiang

Image-Level Uncertainty in Pseudo-Label Selection for Semi-Supervised Segmentation

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)(2022)10.1109/embc48229.2022.9871359

N/A

0DataRank · unranked

1 citations

Fatima Zulqarnain, Sana Syed, Donald Brown, Payden McBee

Neural Network Methods For Diagnosing Patient Conditions From Cardiopulmonary Exercise Testing Data

Research Square(2022)10.21203/rs.3.rs-1306950/v1

N/A

0DataRank · unranked

0 citations

Suchetha Sharma, James Jablonski, Donald Brown

Increased stroke severity and mortality in patients with SARS-CoV-2 infection: An analysis from the N3C database

Journal of Stroke and Cerebrovascular Diseases(2023)10.1016/j.jstrokecerebrovasdis.2023.106987

N/A

0DataRank · unranked

6 citations

Indika Mallawaarachchi, Chad Aldridge, Ethan D Assefa, Arti Patel, Johanna J. Loomba +8 more

Label-efficient Contrastive Learning-based model for nuclei detection and classification in 3D Cardiovascular Immunofluorescent Images

arXiv (Cornell University)(2023)10.48550/arxiv.2309.03744

N/A

0DataRank · unranked

0 citations

Rebecca A. Deaton, Laura S. Shankman, Gary K. Owens, Donald Brown, Nazanin Moradinasab

Uncertainty Quantification for Eosinophil Segmentation

arXiv (Cornell University)(2023)10.48550/arxiv.2309.16536

N/A

0DataRank · unranked

0 citations

Donald Brown, Sana Syed, A. Greene, Kevin Lin

Risk factors associated with post-acute sequelae of SARS-CoV-2: an N3C and NIH RECOVER study

UNC Libraries(2023)10.17615/q8t3-vn04

N/A

0DataRank · unranked

0 citations

Sharad Singh, Peter E. DeWitt, Hemalkumar B. Mehta, Johanna J. Loomba, Catherine Xie +17 more

Uncertainty Quantification for Eosinophil Segmentation

(2023)10.1145/3632047.3632050

N/A

0DataRank · unranked

0 citations

Donald Brown, Sana Syed, A. Greene, Kevin Lin

Universal representation learning for multivariate time series using the instance-level and cluster-level supervised contrastive learning

Data Mining and Knowledge Discovery(2024)10.1007/s10618-024-01006-1

N/A

0DataRank · unranked

8 citations

Suchetha Sharma, Ronen Bar‐Yoseph, Shlomit Radom‐Aizik, Kenneth C. Bilchick, Dan M. Cooper +3 more

Dynamics of gas exchange and heart rate signal entropy in standard cardiopulmonary exercise testing during critical periods of growth and development

Physiological Reports(2024)10.14814/phy2.70034

N/A

0DataRank · unranked

2 citations

Donald Brown, D. M. Cooper, Shlomit Aizik, Ronen Bar‐Yoseph, Zachary Blanks

ProtoGMM: Multi-prototype Gaussian-Mixture-based Domain Adaptation Model for Semantic Segmentation

(2024)10.1109/icmla61862.2024.00020

N/A

0DataRank · unranked

4 citations

Laura S. Shankman, Rebecca A. Deaton, Gary K. Owens, Donald Brown, Nazanin Moradinasab

Gengmm: Generalized Gaussian-Mixture-Based Domain Adaptation Model for Semantic Segmentation

(2024)10.1109/icip51287.2024.10648260

N/A

0DataRank · unranked

2 citations

Hassan Jafarzadeh, Donald Brown, Nazanin Moradinasab

ProtoGMM: Multi-prototype Gaussian-Mixture-based Domain Adaptation Model for Semantic Segmentation

arXiv (Cornell University)(2024)10.48550/arxiv.2406.19225

N/A

0DataRank · unranked

1 citations

Laura S. Shankman, Rebecca A. Deaton, Gary K. Owens, Donald Brown, Nazanin Moradinasab

Diffusion and Multi-Domain Adaptation Methods for Eosinophil Segmentation

arXiv (Cornell University)(2024)10.48550/arxiv.2403.11323

N/A

0DataRank · unranked

0 citations

Donald Brown, Sana Syed, A. Greene, Kevin Lin

GenGMM: Generalized Gaussian-Mixture-based Domain Adaptation Model for Semantic Segmentation

arXiv (Cornell University)(2024)10.48550/arxiv.2410.16485

N/A

0DataRank · unranked

0 citations

Hassan Jafarzadeh, Donald Brown, Nazanin Moradinasab

ERDS: Optimizing Domains Using Observation-Based Extremity

(2024)10.1145/3700666.3700685

N/A

0DataRank · unranked

0 citations

Donald Brown, Sana Syed, A. Greene, Kevin Lin

HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach

Information(2020)10.3390/info11060318

N/A

0DataRank · unranked

65 citations

Rasoul Sali, Lubaina Ehsan, William Adorno, Asad Ali, Sean R. Moore +5 more

Entropy as a marker of physiological transition during pediatric cardiopulmonary exercise testing

Frontiers in Physiology(2025)10.3389/fphys.2025.1698399

N/A

0DataRank · unranked

0 citations

Donald Brown, D. M. Cooper, Annamarie Stehli, Shlomit Aizik, Natalie Kupperman +1 more

Semi-Supervised Classification of Noisy, Gigapixel Histology Images

Вестник новых медицинских технологий(2020)10.1109/bibe50027.2020.00097

N/A

0DataRank · unranked

11 citations

Shan Guleria, Lubaina Ehsan, Matthew Fasullo, Robert Lippman, Pritesh Mutha +4 more

Artificial Intelligence-Based Analytics for Diagnosis of Small Bowel Enteropathies and Black Box Feature Detection

medRxiv(2020)10.1101/2020.08.06.20159152

N/A

0DataRank · unranked

3 citations

Lubaina Ehsan, Aman Shrivastava, Saurav Sengupta, Marium Khan, Kamran Kowsari +14 more

Donald Brown

Indexed papers

Top data-sharing exemplar

Papers