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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Touati, R., & Kadoury, S. (2025). Structure-Based Diffusion Model for CT Synthesis from MR Images for Radiotherapy Treatment Planning. [Abstract]. Medical Physics, 52(10), 747-478. Presented at 67th Annual Meeting and Exhibition of the American Association of Physicists in Medicine (AAPM 2025), Washington, DC, USA. External link
Touati, R., & Kadoury, S. (2025, July). Structural Guidance in Stacked Generative Diffusion Model: Synthesizing Head and Neck CT from MRI in Radiotherapy Planning [Paper]. 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2025), Copenhagen, Denmark (6 pages). External link
Touati, R., Le, W. T., & Kadoury, S. (2024). Multi-planar dual adversarial network based on dynamic 3D features for MRI-CT head and neck image synthesis. Physics in Medicine & Biology, 69(15), 155012 (36 pages). Available
Touati, R., & Kadoury, S. (2023). Bidirectional feature matching based on deep pairwise contrastive learning for multiparametric MRI image synthesis. Physics in Medicine & Biology, 68(12), 125010 (16 pages). External link
Touati, R., & Kadoury, S. (2023). A least square generative network based on invariant contrastive feature pair learning for multimodal MR image synthesis. International Journal of Computer Assisted Radiology and Surgery, 18(6), 971-979. External link
Touati, R., Le, W. T., & Kadoury, S. (2021). A feature invariant generative adversarial network for head and neck MRI/CT image synthesis. Physics in Medicine and Biology, 66(9), 18 pages. External link
