Research Output 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.
Education/Academic qualification
PhD, Ohio State University
… → 2009
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Research Output
Machine-based detection and classification for bone marrow aspirate differential counts: initial development focusing on nonneoplastic cells
Chandradevan, R., Aljudi, A. A., Drumheller, B. R., Kunananthaseelan, N., Amgad, M., Gutman, D. A., Cooper, L. A. D. & Jaye, D. L., Jan 1 2020, In : Laboratory Investigation. 100, 1, p. 98-109 12 p.Research output: Contribution to journal › Article
3
Scopus
citations
An Ensemble-based Active Learning for Breast Cancer Classification
Lee, S., Amgad, M., Masoud, M., Subramanian, R., Gutman, D. & Cooper, L., Nov 2019, Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019. Yoo, I., Bi, J. & Hu, X. T. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 2549-2553 5 p. 8983317. (Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Incorporation of a spectral model in a convolutional neural network for accelerated spectral fitting
Gurbani, S. S., Sheriff, S., Maudsley, A. A., Shim, H. & Cooper, L. A. D., May 2019, In : Magnetic resonance in medicine. 81, 5, p. 3346-3357 12 p.Research output: Contribution to journal › Article
5
Scopus
citations
Joint region and nucleus segmentation for characterization of tumor infiltrating lymphocytes in breast cancer
Amgad, M., Sarkar, A., Srinivas, C., Redman, R., Ratra, S., Bechert, C. J., Calhoun, B. C., Mrazeck, K., Kurkure, U., Cooper, L. A. D. & Barnes, M., Jan 1 2019, Medical Imaging 2019: Digital Pathology. Tomaszewski, J. E. & Ward, A. D. (eds.). SPIE, 109560M. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10956).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Phosphoinositide 3-kinase signaling can modulate MHC Class i and II expression
Chandrasekaran, S., Sasaki, M., Scharer, C. D., Kissick, H. T., Patterson, D. G., Magliocca, K. R., Seykora, J. T., Sapkota, B., Gutman, D. A., Cooper, L. A., Lesinski, G. B., Waller, E. K., Thomas, S. N., Kotenko, S. V., Boss, J. M., Moreno, C. S., Swerlick, R. A. & Pollack, B. P., Jan 1 2019, In : Molecular Cancer Research. 17, 12, p. 2395-2409 15 p.Research output: Contribution to journal › Article
1
Scopus
citations