Research output per year
Research output per year
Personal profile
Research interests
Dr. Luna's research program focuses on the development of translational tools for prediction and diagnosis of cancer from a multiomics perspective in the era of precision medicine. His research interests are in machine learning, multiomics, data integration, cancer research, data sciences and computational medical imaging.
Available to Mentor:
- Post-Baccalaureate Students
- PhD Students
- Postdocs
- Residents and Fellows
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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
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A Pipeline for Histopathology Analysis of Prostate Cancer Guided by Mass Spectrometry Imaging
Luna, J. M., Nakhoul, H., Weimholt, C., Kim, E. H., Song, S. K., Angel, P. M., Drake, R. R. & Ippolito, J. E., 2024, IEEE International Symposium on Biomedical Imaging, ISBI 2024 - Conference Proceedings. IEEE Computer Society, (Proceedings - International Symposium on Biomedical Imaging).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Development of a robust radiomic biomarker of progression-free survival in advanced non-small cell lung cancer patients treated with first-line immunotherapy
Singh, A., Horng, H., Roshkovan, L., Weeks, J. K., Hershman, M., Noël, P., Luna, J. M., Cohen, E. A., Pantalone, L., Shinohara, R. T., Bauml, J. M., Thompson, J. C., Aggarwal, C., Carpenter, E. L., Katz, S. I. & Kontos, D., Dec 2022, In: Scientific reports. 12, 1, 9993.Research output: Contribution to journal › Article › peer-review
Open Access13 Link opens in a new tab Scopus citations -
Radiomic Phenotypes for Improving Early Prediction of Survival in Stage III Non-Small Cell Lung Cancer Adenocarcinoma after Chemoradiation
Luna, J. M., Barsky, A. R., Shinohara, R. T., Roshkovan, L., Hershman, M., Dreyfuss, A. D., Horng, H., Lou, C., Noël, P. B., Cengel, K. A., Katz, S., Diffenderfer, E. S. & Kontos, D., Feb 1 2022, In: Cancers. 14, 3, 700.Research output: Contribution to journal › Article › peer-review
Open Access10 Link opens in a new tab Scopus citations -
Impact of interobserver variability in manual segmentation of non‐small cell lung cancer (Nsclc) applying low‐rank radiomic representation on computed tomography
Hershman, M., Yousefi, B., Serletti, L., Galperin‐aizenberg, M., Roshkovan, L., Luna, J. M., Thompson, J. C., Aggarwal, C., Carpenter, E. L., Kontos, D. & Katz, S. I., Dec 1 2021, In: Cancers. 13, 23, 5985.Research output: Contribution to journal › Article › peer-review
Open Access19 Link opens in a new tab Scopus citations -
Radiomic features predict local failure-free survival in stage III NSCLC adenocarcinoma treated with chemoradiation
Luna, J. M., Barsky, A. R., Shinohara, R. T., Dreyfuss, A. D., Roshkovan, L., Hershman, M., Haghighi, B., Yousefi, B., Noël, P. B., Cengel, K. A., Katz, S., Diffenderfer, E. S. & Kontos, D., 2021, Medical Imaging 2021: Computer-Aided Diagnosis. Mazurowski, M. A. & Drukker, K. (eds.). SPIE, 1159720. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11597).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Link opens in a new tab Scopus citations