Projects per year
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Dive into the research topics where David Foran is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 9 Finished
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Methods and Tools for Integrating Pathomics Data into Cancer Registries
Foran, D., DURBIN, E., SALTZ, J. & Sharma, A.
4/1/21 → 3/31/22
Project: Research project
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Methods and Tools for Integrating Pathomics Data into Cancer Registries
Foran, D., DURBIN, E., SALTZ, J. & Sharma, A.
4/1/18 → 3/31/20
Project: Research project
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Mechano-Visual Phenotyping of Cancer: From Onset Through Disease Progression
Foran, D., Foran, D., DESAI, J. & DESAI, J.
3/12/12 → 2/28/19
Project: Research project
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Informatics for Integrative Brain Tumor Whole Slide Analysis
Foran, D., SALTZ, J. & SALTZ, J.
U.S. National Library of Medicine
7/1/11 → 5/31/16
Project: Research project
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An expandable informatics framework for enhancing central cancer registries with digital pathology specimens, computational imaging tools, and advanced mining capabilities
Foran, D., Durbin, E., Chen, W., Sadimin, E., Sharma, A., Banerjee, I., Kurc, T., Li, N., Stroup, A., Harris, G., Gu, A., Schymura, M., Gupta, R., Bremer, E., Balsamo, J., Diprima, T., Wang, F., Abousamra, S., Samaras, D., Hands, I., & 2 others, Jan 1 2022, In: Journal of Pathology Informatics. 13, 1, p. 5 1 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Multi-Feature Vision Transformer via Self-Supervised Representation Learning for Improvement of COVID-19 Diagnosis
Qi, X., Foran, D. J., Nosher, J. L. & Hacihaliloglu, I., 2022, Medical Image Learning with Limited and Noisy Data - 1st International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Proceedings. Zamzmi, G., Antani, S., Rajaraman, S., Xue, Z., Bagci, U. & Linguraru, M. G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 76-85 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13559 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
Chest X-ray image phase features for improved diagnosis of COVID-19 using convolutional neural network
Qi, X., Brown, L. G., Foran, D. J., Nosher, J. & Hacihaliloglu, I., Feb 2021, In: International Journal of Computer Assisted Radiology and Surgery. 16, 2, p. 197-206 10 p.Research output: Contribution to journal › Article › peer-review
Open Access34 Scopus citations -
Gene expression of adipokines and adipokine receptors in the tumor microenvironment: associations of lower expression with more aggressive breast tumor features
Llanos, A. A. M., Yao, S., Singh, A., Aremu, J. B., Khiabanian, H., Lin, Y., Omene, C., Omilian, A. R., Khoury, T., Hong, C. C., Ganesan, S., Foran, D. J., Higgins, M. J., Ambrosone, C. B., Bandera, E. V. & Demissie, K., Feb 2021, In: Breast Cancer Research and Treatment. 185, 3, p. 785-798 14 p.Research output: Contribution to journal › Article › peer-review
10 Scopus citations -
Integrative clinical, genomics and metabolomics data analysis for mainstream precision medicine to investigate COVID-19
Ahmed, Z., Zeeshan, S., Foran, D. J., Kleinman, L. C., Wondisford, F. E. & Dong, X. Q., Jan 1 2021, In: BMJ Innovations. 7, 1, p. 6-10 5 p.Research output: Contribution to journal › Review article › peer-review
Open Access12 Scopus citations