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Fingerprint 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.

  • 2 Similar Profiles
Tissue Engineering & Materials Science
Pathology Engineering & Materials Science
Neoplasms Medicine & Life Sciences
Imaging techniques Engineering & Materials Science
Microarrays Engineering & Materials Science
Tumors Engineering & Materials Science
Neoplasm Grading Medicine & Life Sciences
Color Medicine & Life Sciences

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Projects 1997 2024

Methods and Tools for Integrating Pathomics Data into Cancer Registries

Foran, D., Saltz, J. H., Durbin, E. B. & Sharma, A.

National Institutes of Health

4/1/183/31/20

Project: Research project

cancer
method

CANCER CENTER SUPPORT GRANT

Kane, M., Zong, W., Mehnert, J., Manne, S., Delnevo, C., Shen, Z., Ganesan, S., Foran, D., Liu, C., Laskin, D., Shih, W., Aisner, J., Lattime, E., Haffty, B., Bertino, J., August, D., Goodin, S., Goodin, S., August, D., Laskin, D., Shih, W., Rabinowitz, J., Zheng, S., Sant'Angelo, D. B., Saunders, T., Tanzer, L. L., Gallo, J., Leibowitz, M., Chin, K. V., Ravikumar, T., Hait, W., Dipaola, R., Libutti, S. K., Kinzy, T. G., Spaulding, H., Amenta, P., Denicola, G., Shen, M. M., Kinzy, T. G., Notterman, D., Amenta, P. S., Rubin, E. H. & Cunningham, R. S.

National Institutes of Health

3/1/972/29/24

Project: Research project

Neoplasms
Research
Financial Management
Organized Financing
New Brunswick
Disease Progression
Neoplasms
Breast Neoplasms
Micro-Electrical-Mechanical Systems
Technology
Tumors
Brain
Image analysis
Pipelines
Middleware
Microarrays
Tissue
Majority logic
Medicine
Computer aided analysis

Research Output 1990 2020

Two well-differentiated pancreatic neuroendocrine tumor mouse models

Wong, C., Tang, L. H., Davidson, C., Vosburgh, E., Chen, W., Foran, D. J., Notterman, D. A., Levine, A. J. & Xu, E. Y., Jan 1 2020, In : Cell Death and Differentiation. 27, 1, p. 269-283 15 p.

Research output: Contribution to journalArticle

Open Access
Neuroendocrine Tumors
Multiple Endocrine Neoplasia Type 1
Pituitary Neoplasms
Insulin
Neoplasms
10 Citations (Scopus)

Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images

Hou, L., Nguyen, V., Kanevsky, A. B., Samaras, D., Kurc, T. M., Zhao, T., Gupta, R. R., Gao, Y., Chen, W., Foran, D. & Saltz, J. H., Feb 2019, In : Pattern Recognition. 86, p. 188-200 13 p.

Research output: Contribution to journalArticle

Feature extraction
Tissue
Supervised learning
Costs

Statistical analysis of survival models using feature quantification on prostate cancer histopathological images

Ren, J., Singer, E. A., Sadimin, E., Foran, D. J. & Qi, X., Jan 1 2019, In : Journal of Pathology Informatics. 10, 1, 30.

Research output: Contribution to journalArticle

Open Access
Survival Analysis
Prostatic Neoplasms
Statistical methods
Neural networks
Tumors
Disease Progression
Color
Staining and Labeling
Labeling
Image analysis
10 Citations (Scopus)

Adversarial domain adaptation for classification of prostate histopathology whole-slide images

Ren, J., Hacihaliloglu, I., Singer, E., Foran, D. & Qi, X., Jan 1 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Fichtinger, G., Davatzikos, C., Alberola-López, C., Frangi, A. F. & Schnabel, J. A. (eds.). Springer Verlag, p. 201-209 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11071 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tissue
Prostate Cancer
Labeling
Target
Prognosis