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Le, W. T., Maleki, F., Romero, F. P., Forghani, R., & Kadoury, S. (2020). Overview of Machine Learning: Part 2 Deep Learning for Medical Image Analysis. Neuroimaging Clinics of North America, 30(4), 417-431. Lien externe
Maaref, A., Romero, F. P., Montagnon, E., Cerny, M., Nguyen, B., Vandenbroucke, F., Soucy, G., Turcotte, S., Tang, A., & Kadoury, S. (2020). Predicting the Response to FOLFOX-Based Chemotherapy Regimen from Untreated Liver Metastases on Baseline CT: a Deep Neural Network Approach. Journal of Digital Imaging, 33(4), 937-945. Lien externe
Romero, F. P., Diler, A., Bisson-Gregoire, G., Turcotte, S., Lapointe, R., Vandenbroucke-Menu, F., Tang, A., & Kadoury, S. (avril 2019). End-to-end discriminative deep network for liver lesion classification [Communication écrite]. 16th IEEE International Symposium on Biomedical Imaging (ISBI 2019), Venice, Italy. Lien externe
Romero, F. P., Tang, A., & Kadoury, S. (avril 2019). Multi-level batch normalization in deep networks for invasive ductal carcinoma cell discrimination in histopathology images [Communication écrite]. 16th IEEE International Symposium on Biomedical Imaging (ISBI 2019), Venice, Italy. Lien externe
