Projects per year
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Dive into the research topics where Cancer Institute of New Jersey (CINJ), Bioinformatics is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
Projects
- 10 Finished
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Methods and Tools for Integrating Pathomics Data into Cancer Registries
Saltz, J. H. (PI), Durbin, E. B. (CoPI), Foran, D. (CoPI), Clifford, G. G. D. (CoPI) & Sharma, A. (CoPI)
4/1/20 → 3/31/24
Project: Research
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Methods and Tools for Integrating Pathomics Data into Cancer Registries
Saltz, J. H. (PI), Durbin, E. B. (CoPI), Foran, D. (CoPI) & Sharma, A. (CoPI)
4/1/18 → 3/31/20
Project: Research
Research output
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An expandable informatics framework for enhancing central cancer registries with digital pathology specimens, computational imaging tools, and advanced mining capabilities
Foran, D., Durbin, E., Chen, W., Sadimin, E., Sharma, A., Banerjee, I., Kurc, T., Li, N., Stroup, A., Harris, G., Gu, A., Schymura, M., Gupta, R., Bremer, E., Balsamo, J., Diprima, T., Wang, F., Abousamra, S., Samaras, D. & Hands, I. & 2 others, , Jan 1 2022, In: Journal of Pathology Informatics. 13, 1, p. 5 1 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Multi-Feature Vision Transformer via Self-Supervised Representation Learning for Improvement of COVID-19 Diagnosis
Qi, X., Foran, D. J., Nosher, J. L. & Hacihaliloglu, I., 2022, Medical Image Learning with Limited and Noisy Data - 1st International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Proceedings. Zamzmi, G., Antani, S., Rajaraman, S., Xue, Z., Bagci, U. & Linguraru, M. G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 76-85 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13559 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Chest X-ray image phase features for improved diagnosis of COVID-19 using convolutional neural network
Qi, X., Brown, L. G., Foran, D. J., Nosher, J. & Hacihaliloglu, I., Feb 2021, In: International journal of computer assisted radiology and surgery. 16, 2, p. 197-206 10 p.Research output: Contribution to journal › Article › peer-review
Open Access