German Corredor-Prada

Publications

Corredor-Prada, G., Toro, P., Bera, K., Rasmussen, D., Sankar Viswanathan, V., Buzzy, C., Fu, P., Barton, L., Stroberg, E., Duval, E., Gilmore, H., Mukhopadyay, S., & Madabhushi, A. (2021). Computational pathology reveals unique spatial patterns of immune response in H&E images from COVID-19 autopsies: preliminary findings. Journal of Medical Imaging, 8 (Suppl 1), 017501.
Koyuncu, C., Lu, C., Bera, K., Zhang, Z., Xue, Z., Toro, P., Corredor-Prada, G., Chute, D., Fu, P., Thorstad, W., Faraji, F., Bishop, J., Mehrad, M., Castro, P., Sikora, A., Thompson, L., Chernock, R., Lang Kuhs, K., Luo, J., Sandulache, V., Adelstein, D., Koyfman, S., Lewis, Jr, J., & Madabhushi, A. (2021). Computerized tumor multinucleation index (MuNI) is prognostic in p16+ oropharyngeal carcinoma. The Journal of Clinical Investigation, 131 (8), e145488.
Lu, C., Koyuncu, C., Corredor-Prada, G., Prasanna, P., Leo, P., WAng, X., Janowczyk, A., Bera, K., Lewis, J., Velcheti, V., & Madabhushi, A. (2021). Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers. Medical Image Analysis, 68
Koyuncu, C., Lu, C., Bera, K., Zhang, Z., Xue, Z., Toro, P., Corredor-Prada, G., Chute, D., Fu, P., Thorstad, W., & Others, W. (2021). Computerized tumor multinucleation index (MuNI) is prognostic in p16+ oropharyngeal carcinoma. The Journal of Clinical Investigation, 131 (8).
Koyuncu, C., Corredor-Prada, G., Lu, C., Toro, P., Bera, K., Fu, P., Koyfman, S., Chute, D., Adelstein, D., Thorstad, W., Bishop, J., Faraji, F., Lewis, J., & Madabhushi, A. (2020). Combination of tumor multinucleation and spatial arrangement of tumor-infiltrating lymphocytes to predict overall survival in oropharyngeal squamous cell carcinoma: A multisite study.. Journal of Clinical Oncology, 38 (15_suppl), 6566-6566.
Azarianpour Esfahani, S., Corredor-Prada, G., Bera, K., Fu, P., Joehlin-Price, A., Mahdi, H., & Madabhushi, A. (2020). Computerized features of spatial arrangement of tumor-infiltrating lymphocytes from H&E images predicts survival and response to checkpoint inhibitors in gynecologic cancers.. Journal of Clinical Oncology, 38 (15_suppl), 6074-6074.
Corredor-Prada, G., Lu, C., Koyuncu, C., Bera, K., Toro, P., Fu, P., Koyfman, S., Chute, D., Adelstein, D., Thorstad, W., Bishop, J., Faraji, F., Lewis, J., & Madabhushi, A. (2020). Computerized features of spatial interplay of tumor-infiltrating lymphocytes predict disease recurrence in p16+ oropharyngeal squamous cell carcinoma: A multisite validation study.. Journal of Clinical Oncology, 38 (15_suppl), 6559-6559.
Vaidya, P., Bera, K., Gupta, A., WAng, X., Corredor-Prada, G., Fu, P., Beig, N., Prasanna, P., Patil, P., Velu, P., Rajiah, P., Gilkeson, R., Feldman, M., Choi, H., Velcheti, V., & Madabhushi, A. (2020). CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in stage I, II resectable non-small cell lung cancer: a retrospective multicohort study for outcome prediction. The Lancet Digital Health, 2 (3), e116-e128.
Khorrami, M., Prasanna, P., Gupta, A., Patil, P., Velu, P., Thawani, R., Corredor-Prada, G., Alilou, M., Bera, K., Fu, P., Feldman, M., Velcheti, V., & Madabhushi, A. (2020). Changes in CT Radiomic Features Associated with Lymphocyte Distribution Predict Overall Survival and Response to Immunotherapy in Non–Small Cell Lung Cancer. Cancer Immunology Research, 8 (1), 108-119.
Khorrami, M., Prasanna, P., Gupta, A., Patil, P., Velu, P., Thawani, R., Corredor-Prada, G., Alilou, M., Bera, K., Fu, P., & Others, P. (2020). Changes in CT radiomic features associated with lymphocyte distribution predict overall survival and response to immunotherapy in non-small cell lung cancer. Cancer immunology research, 8 (1), 108.
Whitney, J., Corredor-Prada, G., Janowczyk, A., Ganesan, S., Doyle, S., Tomaszewski, J., Feldman, M., Gilmore, H., & Madabhushi, A. (2018). Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer. BMC Cancer, 18 (1).
Whitney, J., Corredor-Prada, G., Janowczyk, A., Ganesan, S., Doyle, S., Tomaszewski, J., Feldman, M., Gilmore, H., & Madabhushi, A. (2018). Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer. BMC Cancer, 18 (1).
Corredor-Prada, G., Madabhushi, A., & Whitney, J. (2017). Training a cell-level classifier for detecting basal-cell carcinoma by combining human visual attention maps with low-level handcrafted features.. Journal of medical imaging (Bellingham, Wash.), 4 (2), 020015.