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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.

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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 2004 2018

Research
Outcome Assessment (Health Care)
Observer Variation
Tumor Biomarkers
Quality Control
Technology
Research
Clinical Decision Support Systems
Tissue Array Analysis
Drug Discovery

Research Output 1990 2019

9 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

Two well-differentiated pancreatic neuroendocrine tumor mouse models

Wong, C., Tang, L. H., Davidson, C., Vosburgh, E., Chen, W., Foran, D., Notterman, D. A., Levine, A. J. & Xu, E. Y., Jan 1 2019, In : Cell Death and Differentiation.

Research output: Contribution to journalArticle

Open Access
Neuroendocrine Tumors
Multiple Endocrine Neoplasia Type 1
Pituitary Neoplasms
Insulin
Neoplasms
Disease Progression
Color
Staining and Labeling
Labeling
Image analysis
6 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