Knee osteoarthritis (OA) can present in different ways. The relationships between the symptoms and their causes are mostly unknown, making it difficult to choose the best course of action. Being able to identify various contributor to symptoms would be extremely beneficial to determining the optimal course of treatment. We will develop a system that accounts […]

In grain processing, milling usually plays a key role. The efficiency of the milling process is key to the profitability of the process and is decisive for the quality of the final product. However, milling is often subject to wear problems. Indeed, the degradation of the rolls varies over time depending on factors that are […]

Making future projections about quantities of interest is a key component of decision-making, which has broad applications. For instance, in healthcare, one may be interested in monitoring the severity level of a disease given a treatment plan, while carefully accounting for potential sources of uncertainty. Alternatively, one may be interested in predicting the occupancy level […]

Creating speech neuroprostheses, or devices that can help restore the ability to speak to people who have lost it due to neurological damage or disorder is extremely important because it can greatly improve the quality of life for these individuals. Despite this, there has not been a widely successful solution to this issue yet because […]

Turquoise Technology Solutions Inc. (“Turquoise”) is a Google Partner firm based in Montreal. They have been working on recommender systems for books and recipes. They are currently interested in improving the accuracy of their recommender systems. In order to improve such a system, the goal is to extract the model of customers’ preferences using both […]

My project’s goal is to create an efficient application that would demonstrate the prediction of the survival and mortality risks of a certain patient generated by a deep learning algorithm, and provide doctors with all the relevant data surrounding this prediction. I am going to work on the ways to implement this application into doctors’ […]

Pedicle screws are used often in a spinal fusion to add support and strength to the fusion while it heals. Traditionally, a large incision is made to implant screws and rods that stabilize the spine. In contrast, percutaneous pedicle fixation is a minimally invasive spine surgery technique, performed through the skin without a traditional large […]

Achievement of competence in medical interventions requires practice, and early stages of practice are best done in simulation, typically using some combination of digital (computer generated) and physical (mannequin) models. The overall objective of the pro;osed MITACS Globalink project is to design, implement and evaluate a practical embodiment of the novel low-cost ultrasound-guided kidney intervention […]

Lung ultrasound is an efficient and widespread method used in bedside diagnostic examinations. The interpretation of ultrasound in emergency care is an extremely difficult task, especially for less experienced physicians. The objective of the project is to implement and validate comprehensive AI-based approach using deep learning to assist in identifying diagnostically relevant imaging features and […]

With this project, we aim to increase our knowledge and experience in recommender systems. We are specifically interested in testing various data structures and algorithms that will allow us to provide recommendations to our users based on their interest (user-user), as well as the intrinsic similarities between different elements of our database (item-item). Based on […]

Using a fisheye head-mounted camera to estimate human pose in 3D has become increasingly popular in recent years due to its ability to capture activities in unconstrained environments. Egocentric 3D human pose estimation (HPE) has a number of challenges due to self-occlusions and strong distortions. Intermediate heatmap-based representations have been found to be effective in […]

Today, thanks to microelectronics, it is possible to find technology that continuously collects data such as motion kinematics or physiological data. This type of technology is commonly referred to as wearable and therefore the scope of this project is to find methodologies based on artificial intelligence for the creation of models that can predict a […]