A5028072606- Medical Imaging and Analysis
- Artificial Intelligence in Healthcare and Education
- Tryptophan and brain disorders
- Barrier Structure and Function Studies
- Dental Radiography and Imaging
- Gut microbiota and health
- Surgical Simulation and Training
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- AI in cancer detection
- Advanced X-ray and CT Imaging
- Medical Image Segmentation Techniques
- Anatomy and Medical Technology
Université Laval
2022-2023
École de Technologie Supérieure
2018-2019
Centre Hospitalier de l’Université de Montréal
2018
Major depressive disorder (MDD) is the leading cause of disability worldwide. Of individuals with MDD, 30% to 50% are unresponsive common antidepressants, highlighting untapped causal biological mechanisms. Dysfunction in microbiota-gut-brain axis has been implicated MDD pathogenesis. Exposure chronic stress disrupts blood-brain barrier integrity; still, little known about intestinal function these conditions, particularly for small intestine, where absorption most foods and drugs takes place.
Most algorithms to detect and identify anatomical structures in medical images require either be initialized close the target structure, or know that structure is present image, trained on a homogeneous database (e.g. all full body lower limbs). Detecting these when there no guarantee image heterogeneous (mixed configurations), challenge for automatic algorithms. In this work we compared two state-of-the-art machine learning techniques order determine which one most appropriate predicting...
Abstract Major depressive disorder (MDD) is the leading cause of disability worldwide. However, 30-50% patients are unresponsive to commonly prescribed antidepressants, highlighting untapped causal biological mechanisms. Dysfunction in microbiota-gut-brain axis, bidirectional communications between central nervous system and gastrointestinal tract that modulated by gut microorganisms, has been implicated MDD pathogenesis. Exposure chronic stress disrupts blood-brain barrier integrity, still,...
Correctly detecting and identifying bones in radiographic images are the first stages of every orthopaedic procedure. This apparently simple task is mainly performed by human operators before performing more complex operations. Automatic detection identification images, especially if field view position patient not known a priori, remains challenging task. In this paper, lower-limb automatically detected identified on biplanar X-ray with varying fields two main orientations respect to...