Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

Tissue Engineering & Materials Science
Pathology Engineering & Materials Science
Imaging techniques Engineering & Materials Science
Neoplasms Medicine & Life Sciences
Microarrays Engineering & Materials Science
Tumors Engineering & Materials Science
Neoplasm Grading Medicine & Life Sciences
Breast Medicine & Life Sciences

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Projects 2004 2018

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

Research Output 1990 2019

1 Citation (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.

Rutgers, The State University

Research output: Contribution to journalArticle

Feature extraction
Supervised learning

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).

Rutgers, The State University

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

Prostate Cancer
1 Citation (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).

Rutgers, The State University

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

Neoplasm Grading
Prostatic Neoplasms


Friday is National HIV Testing Day

David Foran, Elliot Coups & Susan Goodin


4 items of media coverage

Rutgers, The State University

Press/Media: Press / Media