Grants per year
Personal profile
Research Interests
Dr. Cooper received his PhD in Electrical and Computer Engineering from Ohio State University in 2009. He joined the Biomedical Informatics faculty at Emory University in 2012 where he was jointly appointed with Biomedical Engineering at Georgia Institute of Technology. He joined the department of pathology at Northwestern in 2019 as an Associate Professor and Director of Computational Pathology.
My lab focuses on the applications of machine learning in cancer and fundamental research in machine learning. We develop algorithms to predict clinical outcomes from genomic, imaging, and histopathology data, and to extract quantitative descriptions of tissue microenvironments from digital pathology images. Our work has produced a number of software tools that enable researchers to manage large and complex datasets and to interact with these data using machine learning algorithms. Our goal is to improve the quality of predictions used in clinical management and to provide investigators with new insights in cancer biology. Our research has been funded by NLM, NCI, NIBIB, NINDS, and industry and foundation sources.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
PhD, Electrical Engineering and Computer Science, Ohio State University
… → 2009
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Collaborations and top research areas from the last five years
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Enabling Next Generation Machine Learning for Large Scale Image Analysis
RNET Technologies, Inc., National Institute of Biomedical Imaging and Bioengineering
6/1/23 → 5/31/25
Project: Research project
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Improved whole-brain spectroscopic MRI for radiation therapy planning
Cooper, L. A. D. & Cooper, L. A. D.
Emory University, National Cancer Institute
5/5/22 → 4/30/27
Project: Research project
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Guiding humans to create better labeled datasets for machine learning in biomedical research
Cooper, L. A. D., Cooper, L. A. D., Shanes, E. D. & Shanes, E. D.
9/1/21 → 5/31/25
Project: Research project
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Enabling Next Generation Machine Learning for Large Scale Image Analysis
RNET Technologies, Inc., National Institute of Biomedical Imaging and Bioengineering
9/30/21 → 3/29/22
Project: Research project
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ImageDePHI: Image De-Identification for the Acceleration of Cancer Research
Kitware, Inc, National Cancer Institute
9/16/20 → 9/15/21
Project: Research project
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An Automated Pipeline for Differential Cell Counts on Whole-Slide Bone Marrow Aspirate Smears
Lewis, J. E., Shebelut, C. W., Drumheller, B. R., Zhang, X., Shanmugam, N., Attieh, M., Horwath, M. C., Khanna, A., Smith, G. H., Gutman, D. A., Aljudi, A., Cooper, L. A. D. & Jaye, D. L., Feb 1 2023, In: Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc. 36, 2, p. 100003 1 p.Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
Crowdsourcing Segmentation of Histopathological Images Using Annotations Provided by Medical Students
López-Pérez, M., Morales-Álvarez, P., Cooper, L. A. D., Molina, R. & Katsaggelos, A. K., 2023, Artificial Intelligence in Medicine - 21st International Conference on Artificial Intelligence in Medicine, AIME 2023, Proceedings. Juarez, J. M., Marcos, M., Stiglic, G. & Tucker, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 245-249 5 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13897 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Deep Gaussian Processes for Classification With Multiple Noisy Annotators. Application to Breast Cancer Tissue Classification
Lopez-Perez, M., Morales-Alvarez, P., Cooper, L. A. D., Molina, R. & Katsaggelos, A. K., 2023, In: IEEE Access. 11, p. 6922-6934 13 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
Deep learning to predict the proportion of positive cells in CMYC-stained tissue microarrays of diffuse large B-cell lymphoma
Tavolara, T. E., Niazi, M. K. K., Jaye, D., Flowers, C., Cooper, L. & Gurcan, M. N., 2023, Medical Imaging 2023: Digital and Computational Pathology. Tomaszewski, J. E. & Ward, A. D. (eds.). SPIE, 1247104. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12471).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Machine learning classification of placental villous infarction, perivillous fibrin deposition, and intervillous thrombus
Goldstein, J. A., Nateghi, R., Irmakci, I. & Cooper, L. A. D., Apr 2023, In: Placenta. 135, p. 43-50 8 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations
Datasets
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Additional file 1 of High expression of MKK3 is associated with worse clinical outcomes in African American breast cancer patients
Yang, X. (Creator), Amgad, M. (Creator), Cooper, L. A. D. (Creator), Du, Y. (Contributor), Fu, H. (Contributor), Ivanov, A. A. (Creator), Haian, F. (Contributor) & Ivanov, A. A. (Creator), figshare, 2020
DOI: 10.6084/m9.figshare.12904788, https://springernature.figshare.com/articles/dataset/Additional_file_1_of_High_expression_of_MKK3_is_associated_with_worse_clinical_outcomes_in_African_American_breast_cancer_patients/12904788
Dataset
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Metadata supporting data files in the published article: Pitfalls in Assessing Stromal Tumor Infiltrating Lymphocytes (sTILs) in Breast Cancer
Kos, Z. (Creator), Roblin, E. (Creator), Kim, R. S. (Creator), Michiels, S. (Creator), Gallas, B. D. (Creator), Chen, W. (Contributor), van de Vijver, K. K. (Contributor), Goel, S. (Contributor), Adams, S. (Creator), Demaria, S. (Creator), Viale, G. (Creator), Nielsen, T. O. (Creator), Badve, S. S. (Creator), Symmans, W. F. (Creator), Sotiriou, C. (Creator), Rimm, D. L. (Creator), Hewitt, S. (Creator), Denkert, C. (Creator), Loibl, S. (Creator), Luen, S. J. (Creator), Bartlett, J. M. S. (Creator), Savas, P. (Creator), Pruneri, G. (Creator), Dillon, D. A. (Creator), Cheang, M. C. U. (Creator), Tutt, A. (Creator), Hall, J. A. (Creator), Kok, M. (Creator), Horlings, H. M. (Creator), Madabhushi, A. (Contributor), van der Laak, J. (Contributor), Ciompi, F. (Creator), Laenkholm, A. (Contributor), Bellolio, E. (Creator), Gruosso, T. (Creator), Fox, S. B. (Creator), Araya, J. C. (Creator), Floris, G. (Creator), Hudeček, J. (Creator), Voorwerk, L. (Creator), Beck, A. H. (Creator), Kerner, J. (Creator), Larsimont, D. (Creator), Declercq, S. (Creator), Van den Eynden, G. (Contributor), Pusztai, L. (Creator), Ehinger, A. (Creator), Yang, W. (Contributor), AbdulJabbar, K. (Creator), Yuan, Y. (Contributor), Singh, R. (Creator), Hiley, C. (Creator), Bakir, M. A. (Contributor), Lazar, A. J. (Creator), Naber, S. (Creator), Wienert, S. (Creator), Castillo, M. (Contributor), Curigliano, G. (Creator), Dieci, M. (Contributor), André, F. (Creator), Swanton, C. (Creator), Reis-Filho, J. (Creator), Sparano, J. (Creator), Balslev, E. (Creator), Chen, I. (Contributor), Stovgaard, E. I. S. (Creator), Pogue-Geile, K. (Creator), Blenman, K. R. M. (Creator), Penault-Llorca, F. (Creator), Schnitt, S. (Creator), Lakhani, S. R. (Creator), Vincent-Salomon, A. (Creator), Rojo, F. (Creator), Braybrooke, J. P. (Creator), Hanna, M. G. (Creator), Bethmann, D. (Creator), Castaneda, C. A. (Creator), Willard-Gallo, K. (Creator), Sharma, A. (Creator), Lien, H. (Contributor), Fineberg, S. (Creator), Thagaard, J. (Creator), Comerma, L. (Creator), Gonzalez-Ericsson, P. (Creator), Brogi, E. (Creator), Loi, S. (Creator), Saltz, J. (Creator), Klaushen, F. (Creator), Cooper, L. A. D. (Creator), Amgad, M. (Creator), Moore, D. A. (Creator), Kos, Z. (Creator), Vijver, K. K. V. D. (Creator), Viale, G. (Creator), Nielsen, T. O. (Creator), Denkert, C. (Creator), Bartlett, J. (Creator), Dillon, D. A. (Creator), Araya, J. C. (Creator), Beck, A. H. (Creator), Eynden, G. V. D. (Creator), André, F. (Creator), Sparano, J. (Creator), Penault-Llorca, F. (Creator), Soler, T. (Creator), Sharma, A. (Creator), Fineberg, S. (Creator) & Loi, S. (Creator), figshare, 2020
DOI: 10.6084/m9.figshare.11907768.v1, https://springernature.figshare.com/articles/Metadata_supporting_data_files_in_the_published_article_Pitfalls_in_Assessing_Stromal_Tumor_Infiltrating_Lymphocytes_sTILs_in_Breast_Cancer/11907768/1
Dataset
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High expression of MKK3 is associated with worse clinical outcomes in African American breast cancer patients
Yang, X. (Creator), Amgad, M. (Creator), Cooper, L. A. D. (Creator), Du, Y. (Contributor), Fu, H. (Contributor), Ivanov, A. A. (Creator), Haian, F. (Contributor) & Ivanov, A. A. (Creator), figshare, 2020
DOI: 10.6084/m9.figshare.c.5109639.v1, https://springernature.figshare.com/collections/High_expression_of_MKK3_is_associated_with_worse_clinical_outcomes_in_African_American_breast_cancer_patients/5109639/1
Dataset