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David Foran

  • 1838 Citations
  • 22 h-Index
1990 …2019
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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

Image Mining For Comparative Analysis Of Expression Patterns In Tissue Microarray

Foran, D.

National Institutes of Health (NIH)

7/1/06 → 8/31/18

Project: Research project

Research
Outcome Assessment (Health Care)
Observer Variation
Tumor Biomarkers
Quality Control

Collaborative Systems For Analyzing Tissue Microarrays

Foran, D.

National Institutes of Health (NIH)

4/1/04 → 7/31/16

Project: Research project

Technology
Research
Clinical Decision Support Systems
Tissue Array Analysis
Drug Discovery

Research Output 1990 2019

6 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 1 2019, In : Pattern Recognition. 86, p. 188-200 13 p.

Research output: Contribution to journal › Article

Feature extraction
Tissue
Supervised learning
Costs

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 journal › Article

Open Access
Neuroendocrine Tumors
Multiple Endocrine Neoplasia Type 1
Pituitary Neoplasms
Insulin
Neoplasms

Unsupervised domain adaptation for classification of histopathology whole-slide images

Ren, J., Hacihaliloglu, I., Singer, E., Foran, D. & Qi, X., Jan 1 2019, In : Frontiers in Bioengineering and Biotechnology. 7, MAY, 102.

Research output: Contribution to journal › Article

Disease Progression
Color
Staining and Labeling
Labeling
Image analysis
5 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 proceeding › Conference contribution

Tissue
Prostate Cancer
Labeling
Target
Prognosis
3 Citations (Scopus)

Differentiation among prostate cancer patients with Gleason score of 7 using histopathology whole-slide image and genomic data

Ren, J., Karagoz, K., Gatza, M., Foran, D. & Qi, X., Jan 1 2018, Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications. Chen, P-H. & Zhang, J. (eds.). SPIE, 1057904. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10579).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Neoplasm Grading
chutes
Prostatic Neoplasms
cancer
Biomarkers