 | Up a level |
Vazquez Romaguera, L. (2021). Image-Based Analysis and Modelling of Respiratory Motion Using Deep Learning Techniques [Ph.D. thesis, Polytechnique Montréal]. Available
Vazquez Romaguera, L., Mezheritsky, T., & Kadoury, S. (2021, September). Personalized Respiratory Motion Model Using Conditional Generative Networks for MR-Guided Radiotherapy [Paper]. 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2021). External link
Romaguera, T. V., Vazquez Romaguera, L., Piñol, D. C., & Seisdedos, C. R. V. (2021). Pupil Center Detection Approaches: A Comparative Analysis. Computacion Y Sistemas, 25(1), 67-81. External link
Mezheritsky, T., Vazquez Romaguera, L., & Kadoury, S. (2020, April). 3D Ultrasound Generation from Partial 2D Observations Using Fully Convolutional and Spatial Transformation Networks [Paper]. 17th IEEE International Symposium on Biomedical Imaging (ISBI 2020), Iowa City, IA. External link
Mansour, R., Thibodeau Antonacci, A., Bilodeau, L., Vazquez Romaguera, L., Cerny, M., Huet, C., Gilbert, G., Tang, A., & Kadoury, S. (2020). Impact of temporal resolution and motion correction for dynamic contrast-enhanced MRI of the liver using an accelerated golden-angle radial sequence. Physics in Medicine and Biology, 65(8), 16 pages. External link
