Projects per year
Overview
Education/Academic qualification
Eng-Biomedical, Doctorate Degree
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Dive into the research topics where Georgia Tourassi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Researcher collaborations from the last five years
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Projects
- 1 Finished
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A Cyber-Informatics Approach to Studying Migration and Environmental Cancer Risk
Tourassi, G. (PI) & Xu, S. (CoPI)
09/21/12 → 06/30/16
Project: Research
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Adiabatic quantum support vector machines
Date, P., Woun, D. J., Hamilton, K., Coello Perez, E. A., Chandra Shekhar, M., Rios, F., Gounley, J., Suh, I. S., Humble, T. & Tourassi, G., Jun 2025, In: Quantum Machine Intelligence. 7, 1, 61.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Guest Editorial: Transforming Healthcare and Medicine With Biomedical Informatics and Emerging AI
Mortazavi, B. J., Chiu, Y. C., Lu, L., Das, A., Tourassi, G. & Eskofier, B. M., 2025, In: IEEE Journal of Biomedical and Health Informatics. 29, 9, p. 6128-6131 4 p.Research output: Contribution to journal › Editorial
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Redefining druggable targets with artificial intelligence
Akinsanya, K., AlQuraishi, M., Boija, A., Chodera, J., Cichońska, A., Ghassemi, M., Head, M., Jin, W., Kibbe, W. A., Krogan, N., LeVine, M. V., Moult, J., Stuart, L., Tourassi, G., Zou, J., Barzilay, R. & Elemento, O., Sep 2025, In: Nature Biotechnology. 43, 9, p. 1416-1418 3 p.Research output: Contribution to journal › Comment/debate
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Author Correction: BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets (Nature Methods, (2023), 20, 6, (824-835), 10.1038/s41592-023-01848-5)
Manubens-Gil, L., Zhou, Z., Chen, H., Ramanathan, A., Liu, X., Liu, Y., Bria, A., Gillette, T., Ruan, Z., Yang, J., Radojević, M., Zhao, T., Cheng, L., Qu, L., Liu, S., Bouchard, K. E., Gu, L., Cai, W., Ji, S. & Roysam, B. & 45 others, , Oct 2024, In: Nature Methods. 21, 10, p. 1959 1 p.Research output: Contribution to journal › Comment/debate
Open Access -
Deep learning uncertainty quantification for clinical text classification
Peluso, A., Danciu, I., Yoon, H. J., Yusof, J. M., Bhattacharya, T., Spannaus, A., Schaefferkoetter, N., Durbin, E. B., Wu, X. C., Stroup, A., Doherty, J., Schwartz, S., Wiggins, C., Coyle, L., Penberthy, L., Tourassi, G. D. & Gao, S., Jan 2024, In: Journal of Biomedical Informatics. 149, 104576.Research output: Contribution to journal › Article › peer-review
Open Access6 Scopus citations