Lee Cooper

Also affiliated with Northwestern University, Chan Zuckerberg Initiative (United States)

Computer ScienceMedicineBiochemistry, 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

0.659Author 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 →

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

Northwestern University resource and education development initiatives to advance collaborative artificial intelligence across the learning health system

Learning Health Systems(2024)10.1002/lrh2.10417

Top 45%

0.407DataRank

Top 45%10 citations

Chengsheng Mao, L. Nelson Sanchez‐Pinto, Faraz S. Ahmad, Andrew M. Naidech, Luke V. Rasmussen +29 more

Papers

Driven by 38 papers — median percentile 40. Top paper: “Northwestern University resource and education development initiatives to advance collaborative artificial intelligence across the learning health system”.

Northwestern University resource and education development initiatives to advance collaborative artificial intelligence across the learning health system

Learning Health Systems(2024)10.1002/lrh2.10417

Top 45%

0.407DataRank

Top 45%10 citations

Chengsheng Mao, L. Nelson Sanchez‐Pinto, Faraz S. Ahmad, Andrew M. Naidech, Luke V. Rasmussen +29 more

TMIC-60. BRATS-PATH: ASSESSING HETEROGENEOUS HISTOPATHOLOGIC REGIONS IN GLIOBLASTOMA

Neuro-Oncology(2024)10.1093/neuonc/noae165.1238

Top 60%

0.253DataRank

Top 60%1 citations

Shahriar Faghani, Mana Moassefi, Ujjwal Baid, Verena Chung, Sarthak Pati +17 more

Interactive Classification of Whole-Slide Imaging Data for Cancer Researchers

Cancer Research(2020)10.1158/0008-5472.can-20-0668

N/A

0DataRank · unranked

31 citations

Mohamed Amgad, Pooya Mobadersany, Matt McCormick, Brian P. Pollack, Habiba Elfandy +4 more

High expression of MKK3 is associated with worse clinical outcomes in African American breast cancer patients

Journal of Translational Medicine(2020)10.1186/s12967-020-02502-w

N/A

0DataRank · unranked

28 citations

Mohamed Amgad, Lee Cooper, Yuhong Du, Haian Fu, Andrei A. Ivanov +1 more

Tumor-Infiltrating Lymphocytes in Glioblastoma Are Associated with Specific Genomic Alterations and Related to Transcriptional Class

UNC Libraries(2020)10.17615/jmq3-dg82

N/A

0DataRank · unranked

0 citations

Cameron Brennan, Norman L. Lehman, C. Ryan Miller, Kenneth D. Aldape, Yuna Park +14 more

ERK1/2 phosphorylation predicts survival following anti-PD-1 immunotherapy in recurrent glioblastoma

Nature Cancer(2021)10.1038/s43018-021-00260-2

N/A

0DataRank · unranked

120 citations

Andrew Chen, J. Robert Kane, Seong Jae Kang, Cynthia Kassab, Crismita Dmello +37 more

GestAltNet: aggregation and attention to improve deep learning of gestational age from placental whole-slide images

Laboratory Investigation(2021)10.1038/s41374-021-00579-5

N/A

0DataRank · unranked

40 citations

Lee Cooper, Jeffrey A. Goldstein, Pooya Mobadersany

Learning from crowds in digital pathology using scalable variational Gaussian processes

Scientific Reports(2021)10.1038/s41598-021-90821-3

N/A

0DataRank · unranked

32 citations

Mohamed Amgad, Pablo Morales-Álvarez, Pablo Ruiz, Lee Cooper, Rafael Molina +2 more

Explainable nucleus classification using Decision Tree Approximation of Learned Embeddings

Bioinformatics(2021)10.1093/bioinformatics/btab670

N/A

0DataRank · unranked

16 citations

Lamees A Atteya, Hagar Hussein, Kareem Hosny Mohammed, Ehab Hafiz, Maha AT Elsebaie +6 more

Glioma progression is shaped by genetic evolution and microenvironment interactions

Cell(2022)10.1016/j.cell.2022.04.038

N/A

0DataRank · unranked

506 citations

Kevin C. Johnson, Jan Martinek, Jason T. Huse, MacLean P. Nasrallah, Pieter Wesseling +53 more

NuCLS: A scalable crowdsourcing approach and dataset for nucleus classification and segmentation in breast cancer

GigaScience(2022)10.1093/gigascience/giac037

N/A

0DataRank · unranked

110 citations

Lamees A Atteya, Hagar Hussein, Kareem Hosny Mohammed, Ehab Hafiz, Maha AT Elsebaie +32 more

A panoptic segmentation approach for tumor-infiltrating lymphocyte assessment: development of the MuTILs model and PanopTILs dataset

medRxiv(2022)10.1101/2022.01.08.22268814

N/A

0DataRank · unranked

11 citations

Mohamed Amgad, Muhammad A. Rathore, Roberto Salgado, Lee Cooper, Shangke Liu

An Automated Pipeline for Differential Cell Counts on Whole-Slide Bone Marrow Aspirate Smears

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.05.26.493480

N/A

0DataRank · unranked

4 citations

Conrad W. Shebelut, Bradley Drumheller, Xuebao Zhang, Nithya Shanmugam, Michel Attieh +8 more

A Deep Learning Approach for Histology-Based Nuclei Segmentation and Tumor Microenvironment Characterization

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.12.08.519641

N/A

0DataRank · unranked

2 citations

Hudanyun Sheng, Kevin W. Jin, Fangjiang Wu, Danni Luo, Zhuoyu Wen +10 more

A Deep Learning Approach for Histology-Based Nucleus Segmentation and Tumor Microenvironment Characterization

Modern Pathology(2023)10.1016/j.modpat.2023.100196

N/A

0DataRank · unranked

72 citations

Hudanyun Sheng, Kevin W. Jin, Fangjiang Wu, Danni Luo, Zhuoyu Wen +10 more

Pitfalls in machine learning‐based assessment of tumor‐infiltrating lymphocytes in breast cancer: A report of the International Immuno‐Oncology Biomarker Working Group on Breast Cancer

The Journal of Pathology(2023)10.1002/path.6155

N/A

0DataRank · unranked

53 citations

Glenn Broeckx, David B. Page, Chowdhury Arif Jahangir, Sara Verbandt, Zuzana Kos +95 more

Spatial analyses of immune cell infiltration in cancer: current methods and future directions: A report of the International Immuno‐Oncology Biomarker Working Group on Breast Cancer

The Journal of Pathology(2023)10.1002/path.6165

N/A

0DataRank · unranked

51 citations

Glenn Broeckx, Chowdhury Arif Jahangir, Sara Verbandt, Rajarsi Gupta, Jeppe Thagaard +95 more

Automated Deep Learning-Based Diagnosis and Molecular Characterization of Acute Myeloid Leukemia Using Flow Cytometry

Modern Pathology(2023)10.1016/j.modpat.2023.100373

N/A

0DataRank · unranked

31 citations

Lee Cooper, David L. Jaye, Olga Pozdnyakova, Joshua E. Lewis

An Automated Pipeline for Differential Cell Counts on Whole-Slide Bone Marrow Aspirate Smears

Modern Pathology(2023)10.1016/j.modpat.2022.100003

N/A

0DataRank · unranked

27 citations

Conrad W. Shebelut, Bradley Drumheller, Xuebao Zhang, Nithya Shanmugam, Michel Attieh +8 more

Machine learning classification of placental villous infarction, perivillous fibrin deposition, and intervillous thrombus

Placenta(2023)10.1016/j.placenta.2023.03.003

N/A

0DataRank · unranked

22 citations

Ramin Nateghi, Ismail Irmakci, Lee Cooper, Jeffrey A. Goldstein

A population-level computational histologic signature for invasive breast cancer prognosis

Research Square(2023)10.21203/rs.3.rs-2947001/v1

N/A

0DataRank · unranked

7 citations

James M. Hodge, Maha AT Elsebaie, Clara Bodelón, Samantha Puvanesarajah, David A. Gutman +6 more

Automated Deep Learning-Based Diagnosis and Molecular Characterization of Acute Myeloid Leukemia using Flow Cytometry

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.09.18.558289

N/A

0DataRank · unranked

3 citations

Lee Cooper, David L. Jaye, Olga Pozdnyakova, Joshua E. Lewis

Data from Interactive Classification of Whole-Slide Imaging Data for Cancer Researchers

(2023)10.1158/0008-5472.c.6512731.v1

N/A

0DataRank · unranked

0 citations

Mohamed Amgad, Pooya Mobadersany, Matthew McCormick, Brian P. Pollack, Habiba Elfandy +4 more

Epidemiologic effectors on the breast tumor microenvironment: Results from the Cancer Prevention Study-II and -3 cohorts.

Journal of Clinical Oncology(2023)10.1200/jco.2023.41.16_suppl.10530

Top 100%

0DataRank

Top 100%0 citations

Mohamed Amgad, James M. Hodge, Mia M. Gaudet, Lauren R. Teras, Ami N. Shah +2 more

A panoptic segmentation dataset and deep-learning approach for explainable scoring of tumor-infiltrating lymphocytes

npj Breast Cancer(2024)10.1038/s41523-024-00663-1

N/A

0DataRank · unranked

22 citations

Mohamed Amgad, Deeptej More, Muhammad A. Rathore, Roberto Salgado, Lee Cooper +1 more

Image‐based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno‐oncology Biomarker Working Group on Breast Cancer

The Journal of Pathology(2024)10.1002/path.6238

N/A

0DataRank · unranked

16 citations

David B. Page, Glenn Broeckx, Claudia Aura Gonzalez, Caoimbhe Burke, Clodagh Murphy +95 more

Focused active learning for histopathological image classification

Medical Image Analysis(2024)10.1016/j.media.2024.103162

N/A

0DataRank · unranked

12 citations

Pablo Morales-Álvarez, Lee Cooper, Lee A. Newberg, Daniel A. Enquobahrie, Rafael Molina +2 more

Translating prognostic quantification of c-MYC and BCL2 from tissue microarrays to whole slide images in diffuse large B-cell lymphoma using deep learning

Diagnostic Pathology(2024)10.1186/s13000-023-01425-6

N/A

0DataRank · unranked

6 citations

Muhammad Khalid Khan Niazi, Andrew L. Feldman, David L. Jaye, Christopher R. Flowers, Lee Cooper +2 more

Focused Active Learning for Histopathological Image Classification

arXiv (Cornell University)(2024)10.48550/arxiv.2404.04663

N/A

0DataRank · unranked

0 citations

Pablo Morales-Álvarez, Lee Cooper, Lee A. Newberg, Daniel A. Enquobahrie, Aggelos K. Katsaggelos +2 more

Deep learning for fetal inflammatory response diagnosis in the umbilical cord

Placenta(2025)10.1016/j.placenta.2025.04.013

N/A

0DataRank · unranked

3 citations

Ramin Nateghi, Abhishek Sharma, Lawrence Chillrud, Tilly Seesillapachai, Teresa Chou +3 more

NNFit: A Self-Supervised Deep Learning Method for Accelerated Quantification of High-Resolution Short-Echo-Time MR Spectroscopy Datasets

Radiology Artificial Intelligence(2025)10.1148/ryai.230579

N/A

0DataRank · unranked

3 citations

Sulaiman Sheriff, Vicki Huang, Brent D. Weinberg, Lee Cooper, Yuan Liu +5 more

Artificial Intelligence (AI)-Driven Screening of Equivocal Prostate Immunohistochemistry (IHC) Cases: Development and Validation of a Screening and Cancer Detection Framework

Modern Pathology(2025)10.1016/j.modpat.2025.100904

N/A

0DataRank · unranked

1 citations

Ruoji Zhou, Madeline Saft, Marina Schnauss, Clayton Neill, Ridwan Alam +16 more

An Accelerated Spectroscopic MRI Metabolite Quantification Based on a Deep Learning Method for Radiation Therapy Planning in Brain Tumor Patients

Cancers(2025)10.3390/cancers17030423

N/A

0DataRank · unranked

1 citations

Karthik Ramesh, Sulaiman Sheriff, Andrew A. Maudsley, Brent D. Weinberg, Lee Cooper +2 more

HistomicsTK: A Python toolkit for pathology image analysis algorithms

SoftwareX(2025)10.1016/j.softx.2025.102318

N/A

0DataRank · unranked

9 citations

Ákos Szölgyén, Ramin Nateghi, D. Gutman, David Manthey, Lee Cooper +1 more

Informatics at the Frontier of Cancer Research

Cancer Research(2025)10.1158/0008-5472.can-24-2829

N/A

0DataRank · unranked

0 citations

Taxiarchis Botsis, Pablo G. Cámara, Lauren Ciotti, Lee Cooper, Jeremy Goecks +19 more

Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer

npj Breast Cancer(2020)10.1038/s41523-020-0156-0

N/A

0DataRank · unranked

208 citations

Elvire Roblin, Rim S. Kim, Stefan Michiels, Brandon D. Gallas, Weijie Chen +95 more

Using Variational Autoencoders for Out of Distribution Detection in Histological Multiple Instance Learning

IEEE Access(2025)10.1109/access.2025.3593420

N/A

0DataRank · unranked

0 citations

Luz García, Lee Cooper, Jeffrey A. Goldstein, Rafael Molina, Aggelos K. Katsaggelos +1 more

Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group

npj Breast Cancer(2020)10.1038/s41523-020-0154-2

N/A

0DataRank · unranked

168 citations

Elisabeth Specht Stovgaard, Eva Balslev, Jeppe Thagaard, Weijie Chen, Sarah Dudgeon +95 more

Lee Cooper

Indexed papers

Top data-sharing exemplar

Papers