James Monaco

Patents Pending

2009, "System and Method for Accurate and Rapid Identification of Diseased Regions on Biological Images with Applications to Disease Diagnosis and Prognosis" US 2011/0243417 A1, Anant Madabhushi, James Monaco, Michael Feldman, John Tomaszewski, & Ajay Basavanhally.

Publications

Verma, N., Harding, D., Mohammadi, A., Goldstein, L., Gilmore, H., Feldman, M., Tomaszewski, J., Basavanhally, A., Lloyd, M., Fu, P., Ganesan, S., Davidson, N., Madabhushi, A., & Monaco, J. (2018). Image-based risk score to predict recurrence of ER+ breast cancer in ECOG-ACRIN Cancer Research Group E2197.. Journal of Clinical Oncology, 36 (15_suppl), 540-540.
Monaco, J., & Madabhushi, A. (2012). Class-specific weighting for Markov random field estimation: application to medical image segmentation.. Medical image analysis, 16 (8), 1477-89.
Monaco, J., & Madabhushi, A. (2012). Class-specific weighting for Markov random field estimation: application to medical image segmentation.. Medical image analysis, 16 (8), 1477-89.
Monaco, J., Hipp, J., Lucas, D., Smith, S., Balis, U., & Madabhushi, A. (2012). Image segmentation with implicit color standardization using spatially constrained expectation maximization: detection of nuclei.. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 15 (Pt 1), 365-72.
Hipp, J., Monaco, J., Kunju, L., Cheng, J., Yagi, Y., Rodriguez-Canales, J., Emmert-Buck, M., Hewitt, S., Feldman, M., Tomaszewski, J., Toner, M., Tompkins, R., Flotte, T., Lucas, D., Gilbertson, J., Madabhushi, A., & Balis, U. (2012). Integration of architectural and cytologic driven image algorithms for prostate adenocarcinoma identification.. Analytical cellular pathology (Amsterdam), 35 (4), 251-65.
Monaco, J., Hipp, J., Lucas, D., Smith, S., Balis, U., & Madabhushi, A. (2012). Image segmentation with implicit color standardization using spatially constrained expectation maximization: detection of nuclei.. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 15 (Pt 1), 365-72.
Hipp, J., Smith, S., Cheng, J., Tomlins, S., Monaco, J., Madabhushi, A., Kunju, L., & Balis, U. (2012). Optimization of complex cancer morphology detection using the SIVQ pattern recognition algorithm.. Analytical cellular pathology (Amsterdam), 35 (1), 41-50.
Doyle, S., Monaco, J., Feldman, M., Tomaszewski, J., & Madabhushi, A. (2011). An active learning based classification strategy for the minority class problem: application to histopathology annotation.. BMC bioinformatics, 12 , 424.
Monaco, J., & Madabhushi, A. (2011). Weighted maximum posterior marginals for random fields using an ensemble of conditional densities from multiple Markov chain Monte Carlo simulations.. IEEE transactions on medical imaging, 30 (7), 1353-64.
Hipp, J., Flotte, T., Monaco, J., Cheng, J., Madabhushi, A., Yagi, Y., Rodriguez-Canales, J., Emmert-Buck, M., Dugan, M., Hewitt, S., Toner, M., Tompkins, R., Lucas, D., Gilbertson, J., & Balis, U. (2011). Computer aided diagnostic tools aim to empower rather than replace pathologists: Lessons learned from computational chess.. Journal of pathology informatics, 2 , 25.
Hipp, J., Sica, J., McKenna, B., Monaco, J., Madabhushi, A., Cheng, J., & Balis, U. (2011). The need for the pathology community to sponsor a whole slide imaging repository with technical guidance from the pathology informatics community.. Journal of pathology informatics, 2 , 31.
Yu, S., Monaco, J., Tomaszewski, J., Shih, N., Feldman, M., & Madabhushi, A. (2011). Detection of prostate cancer on histopathology using color fractals and Probabilistic Pairwise Markov models.. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2011 , 3427-30.
Cheng, J., Hipp, J., Monaco, J., Lucas, D., Madabhushi, A., & Balis, U. (2011). Automated vector selection of SIVQ and parallel computing integration MATLABâ„¢: Innovations supporting large-scale and high-throughput image analysis studies.. Journal of pathology informatics, 2 , 37.
Hipp, J., Cheng, J., Pantanowitz, L., Hewitt, S., Yagi, Y., Monaco, J., Madabhushi, A., Rodriguez-Canales, J., Hanson, J., Roy-Chowdhuri, S., Filie, A., Feldman, M., Tomaszewski, J., Shih, N., Brodsky, V., Giaccone, G., Emmert-Buck, M., & Balis, U. (2011). Image microarrays (IMA): Digital pathology's missing tool.. Journal of pathology informatics, 2 , 47.
Monaco, J., Tomaszewski, J., Feldman, M., Hagemann, I., Moradi, M., Mousavi, P., Boag, A., Davidson, C., Abolmaesumi, P., & Madabhushi, A. (2010). High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models.. Medical image analysis, 14 (4), 617-29.
Madabhushi, A., Doyle, S., Lee, G., Basavanhally, A., Monaco, J., Masters, S., Tomaszewski, J., & Feldman, M. (2010). Integrated diagnostics: a conceptual framework with examples.. Clinical chemistry and laboratory medicine, 48 (7), 989-98.
Basavanhally, A., Ganesan, S., Agner, S., Monaco, J., Feldman, M., Tomaszewski, J., Bhanot, G., & Madabhushi, A. (2010). Computerized image-based detection and grading of lymphocytic infiltration in HER2+ breast cancer histopathology.. IEEE transactions on bio-medical engineering, 57 (3), 642-53.
Xu, J., Monaco, J., & Madabhushi, A. (2010). Markov random field driven region-based active contour model (MaRACel): application to medical image segmentation.. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 13 (Pt 3), 197-204.
Alexe, G., Monaco, J., Doyle, S., Basavanhally, A., Reddy, A., Seiler, M., Ganesan, S., Bhanot, G., & Madabhushi, A. (2009). Towards improved cancer diagnosis and prognosis using analysis of gene expression data and computer aided imaging.. Experimental biology and medicine (Maywood, N.J.), 234 (8), 860-79.