Visualizing the Tumor Microvasculature With a Nonlinear Plane-Wave Doppler Imaging Scheme Based on Amplitude Modulation. - Charles Tremblay-Darveau; Ross Williams; Laurent Milot; Matthew Bruce; Peter N. Burns (IEEE Trans. Medical Imaging, 2016)

Improved Contrast-Enhanced Power Doppler Using a Coherence-Based Estimator. - Charles Tremblay-Darveau; Avinoam David Bar-Zion; Ross Williams; Paul S. Sheeran; Laurent Milot; Thanasis Loupas; Dan Adam; Matthew Bruce; Peter N. Burns (IEEE Trans. Medical Imaging, 2017)

Unsupervised Clustering of Quantitative Imaging Phenotypes Using Autoencoder and Gaussian Mixture Model. - Jianan Chen 001; Laurent Milot; Helen M. C. Cheung; Anne L. Martel (MICCAI (4), 2019)

AMINN: Autoencoder-based Multiple Instance Neural Network for Outcome Prediction of Multifocal Liver Metastases. - Jianan Chen 001; Helen M. C. Cheung; Laurent Milot; Anne L. Martel (CoRR, 2020)

Cooperating Networks To Enforce A Similarity Constraint In Paired But Unregistered Multimodal Liver Segmentation. - Vincent Couteaux; Mathilde Trintignac; Olivier Nempont; Guillaume Pizaine; Anna Sesilia Vlachomitrou; Pierre-Jean Valette; Laurent Milot; Isabelle Bloch (ISBI, 2021)

AMINN: Autoencoder-Based Multiple Instance Neural Network Improves Outcome Prediction in Multifocal Liver Metastases. - Jianan Chen 001; Helen M. C. Cheung; Laurent Milot; Anne L. Martel (MICCAI (5), 2021)

Comparing Deep Learning strategies for paired but unregistered multimodal segmentation of the liver in T1 and T2-weighted MRI. - Vincent Couteaux; Mathilde Trintignac; Olivier Nempont; Guillaume Pizaine; Anna Sesilia Vlachomitrou; Pierre-Jean Valette; Laurent Milot; Isabelle Bloch (CoRR, 2021)