Cancer Institute of New Jersey (CINJ), Bioinformatics

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
Atomic force microscopy Engineering & Materials Science

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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 2018

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

Tissue
Prostate Cancer
Labeling
Target
Prognosis
1 Citations

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, Vol. 10579. 1057904

Rutgers, The State University

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

Neoplasm Grading
chutes
Prostatic Neoplasms
cancer
Biomarkers

Electromechanical coupling factor of breast tissue as a biomarker for breast cancer

Park, K., Chen, W., Chekmareva, M. A., Foran, D. & Desai, J. P., Jan 1 2018, In : IEEE Transactions on Biomedical Engineering. 65, 1, p. 96-103 8 p.

Rutgers, The State University

Research output: Contribution to journalArticle

Electromechanical coupling
Biomarkers
Tissue
Collagen
Biochips