Simon Turcotte

Predicting the Response to FOLFOX-Based Chemotherapy Regimen from Untreated Liver Metastases on Baseline CT: a Deep Neural Network Approach

Samuel Kadoury, Francisco Perdigón Romero, An Tang, 2020, Journal of Digital Imaging.

Verbal or visual cues: impacts of familiarity and attention

Bruno Bouchard, Julie Bouchard, Simon Turcotte, 2016, PETRA.

Predictive Model for Assessment of Pathological Response of Colorectal Liver Metastases to Chemotherapy from CT Images

Alexandre Cadrin-Chenevert, Dominique Trudel, Anne-Marie Mes-Masson, 2019, 1910.04105.

Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment.

Simon Turcotte, Manuel Flores Molina, Thomas Fabre, 2020, Journal of visualized experiments : JoVE.

End-To-End Discriminative Deep Network For Liver Lesion Classification

Samuel Kadoury, Francisco Perdigón Romero, Franck Vandenbroucke-Menu, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Dynamic contrast-enhanced MRI to assess hepatocellular carcinoma response to Transarterial chemoembolization using LI-RADS criteria: A pilot study.

Samuel Kadoury, Gilles Soulez, Miguel Chagnon, 2019, Magnetic resonance imaging.

Deep Learning for Automated Segmentation of Liver Lesions at CT in Patients with Colorectal Cancer Liver Metastases.

Samuel Kadoury, Eugene Vorontsov, Milena Cerny, 2019, Radiology. Artificial intelligence.