259 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of TorontoCA21 papers
- University Health NetworkCA16 papers
- Harvard UniversityUS2 papers
- Scuola Superiore Sant'AnnaIT2 papers
- University of California, San FranciscoUS2 papers
- Alberta Bone and Joint Health InstituteCA1 paper
- American University of the Middle EastKW1 paper
- Arizona State UniversityUS1 paper
- Athinoula A. Martinos Center for Biomedical ImagingUS1 paper
- Baycrest Academy for Research and EducationCA1 paper
- Baycrest HospitalCA1 paper
- Bloomberg (United States)US1 paper
29 papers
HEART-Watch: A multimodal physiological dataset from a Google Pixel Watch across different physical states
Jathushan Kaetheeswaran, Boyi Ma, Ali Abedi +2
Consumer-grade smartwatches offer a new option for personalized health monitoring for general consumers, as cardiovascular diseases continue to prevail as the leading cause of glob…
OpenNav: Open-World Navigation with Multimodal Large Language Models
Mingfeng Yuan, Letian Wang, Steven L. Waslander
Pre-trained large language models (LLMs) have demonstrated strong common-sense reasoning abilities, making them promising for robotic navigation and planning tasks. However, despit…
Embodied AI with Foundation Models for Mobile Service Robots: A Systematic Review
Matthew Lisondra, Beno Benhabib, Goldie Nejat
Rapid advancements in foundation models, including Large Language Models, Vision-Language Models, Multimodal Large Language Models, and Vision-Language-Action Models, have opened n…
The Future of Intelligent Healthcare: A Systematic Analysis and Discussion on the Integration and Impact of Robots Using Large Language Models for Healthcare
Souren Pashangpour, Goldie Nejat
The potential use of large language models (LLMs) in healthcare robotics can help address the significant demand put on healthcare systems around the world with respect to an aging…
A Photorealistic Dataset and Vision-Based Algorithm for Anomaly Detection During Proximity Operations in Lunar Orbit
Selina Leveugle, Chang Won Lee, Svetlana Stolpner +4
NASA's forthcoming Lunar Gateway space station, which will be uncrewed most of the time, will need to operate with an unprecedented level of autonomy. One key challenge is enabling…
Rehabilitation Exercise Quality Assessment through Supervised Contrastive Learning with Hard and Soft Negatives
Mark Karlov, Ali Abedi, Shehroz S. Khan
Exercise-based rehabilitation programs have proven to be effective in enhancing the quality of life and reducing mortality and rehospitalization rates. AI-driven virtual rehabilita…
High-resolution myelin-water fraction and quantitative relaxation mapping using 3D ViSTa-MR fingerprinting
Congyu Liao, Xiaozhi Cao, Siddharth Srinivasan Iyer +14
Purpose: This study aims to develop a high-resolution whole-brain multi-parametric quantitative MRI approach for simultaneous mapping of myelin-water fraction (MWF), T1, T2, and pr…
Domain-Specific Deep Learning Feature Extractor for Diabetic Foot Ulcer Detection
Reza Basiri, Milos R. Popovic, Shehroz S. Khan
Diabetic Foot Ulcer (DFU) is a condition requiring constant monitoring and evaluations for treatment. DFU patient population is on the rise and will soon outpace the available heal…
ORMIR_XCT: A Python package for high resolution peripheral quantitative computed tomography image processing
Michael T. Kuczynski, Nathan J. Neeteson, Kathryn S. Stok +9
High resolution peripheral quantitative computed tomography (HR-pQCT) is an imaging technique capable of imaging trabecular bone in-vivo. HR-pQCT has a wide range of applications,…
GNSS/Multi-Sensor Fusion Using Continuous-Time Factor Graph Optimization for Robust Localization
Haoming Zhang, Chih-Chun Chen, Heike Vallery +1
Accurate and robust vehicle localization in highly urbanized areas is challenging. Sensors are often corrupted in those complicated and large-scale environments. This paper introdu…
Towards Open World NeRF-Based SLAM
Daniil Lisus, Connor Holmes, Steven Waslander
Neural Radiance Fields (NeRFs) offer versatility and robustness in map representations for Simultaneous Localization and Mapping (SLAM) tasks. This paper extends NICE-SLAM, a recen…
Recognizing Hand Use and Hand Role at Home After Stroke from Egocentric Video
Meng-Fen Tsai, Rosalie H. Wang, Jośe Zariffa
Introduction: Hand function is a central determinant of independence after stroke. Measuring hand use in the home environment is necessary to evaluate the impact of new interventio…
Measuring hand use in the home after cervical spinal cord injury using egocentric video
Andrea Bandini, Mehdy Dousty, Sander L. Hitzig +3
Background: Egocentric video has recently emerged as a potential solution for monitoring hand function in individuals living with tetraplegia in the community, especially for its a…
Automated pharyngeal phase detection and bolus localization in videofluoroscopic swallowing study: Killing two birds with one stone?
Andrea Bandini, Sana Smaoui, Catriona M. Steele
The videofluoroscopic swallowing study (VFSS) is a gold-standard imaging technique for assessing swallowing, but analysis and rating of VFSS recordings is time consuming and requir…
Unobtrusive Pain Monitoring in Older Adults with Dementia using Pairwise and Contrastive Training
Siavash Rezaei, Abhishek Moturu, Shun Zhao +3
Although pain is frequent in old age, older adults are often undertreated for pain. This is especially the case for long-term care residents with moderate to severe dementia who ca…
Graph-Based Generative Representation Learning of Semantically and Behaviorally Augmented Floorplans
Vahid Azizi, Muhammad Usman, Honglu Zhou +2
Floorplans are commonly used to represent the layout of buildings. In computer aided-design (CAD) floorplans are usually represented in the form of hierarchical graph structures. R…
Discovery of a Low-Redshift Damped Ly System in a Foreground Extended Disk Using a Starburst Galaxy Background Illuminator
Christopher M. Dupuis, Sanchayeeta Borthakur, Mansi Padave +3
We present the discovery of a low-redshift damped Ly (DLA) system in the spectrum of background starburst galaxy SDSS J111323.88+293039.3 (). The DLA is at an impact…
Analysis of the hands in egocentric vision: A survey
Andrea Bandini, José Zariffa
Egocentric vision (a.k.a. first-person vision - FPV) applications have thrived over the past few years, thanks to the availability of affordable wearable cameras and large annotate…
When Segmentation is Not Enough: Rectifying Visual-Volume Discordance Through Multisensor Depth-Refined Semantic Segmentation for Food Intake Tracking in Long-Term Care
Kaylen J Pfisterer, Robert Amelard, Audrey G Chung +4
Malnutrition is a multidomain problem affecting 54% of older adults in long-term care (LTC). Monitoring nutritional intake in LTC is laborious and subjective, limiting clinical inf…
An Effective and Efficient Method for Detecting Hands in Egocentric Videos for Rehabilitation Applications
Ryan J. Visée, Jirapat Likitlersuang, José Zariffa
Objective: Individuals with spinal cord injury (SCI) report upper limb function as their top recovery priority. To accurately represent the true impact of new interventions on pati…
aUToTrack: A Lightweight Object Detection and Tracking System for the SAE AutoDrive Challenge
Keenan Burnett, Sepehr Samavi, Steven L. Waslander +2
The University of Toronto is one of eight teams competing in the SAE AutoDrive Challenge -- a competition to develop a self-driving car by 2020. After placing first at the Year 1 c…
Spatio-Temporal Adversarial Learning for Detecting Unseen Falls
Shehroz S. Khan, Jacob Nogas, Alex Mihailidis
Fall detection is an important problem from both the health and machine learning perspective. A fall can lead to severe injuries, long term impairments or even death in some cases.…
Survey of state-of-the-art mixed data clustering algorithms
Amir Ahmad, Shehroz S. Khan
Mixed data comprises both numeric and categorical features, and mixed datasets occur frequently in many domains, such as health, finance, and marketing. Clustering is often applied…
Egocentric Video: A New Tool for Capturing Hand Use of Individuals with Spinal Cord Injury at Home
Jirapat Likitlersuang, Elizabeth R. Sumitro, Tianshi Cao +3
Current upper extremity outcome measures for persons with cervical spinal cord injury (cSCI) lack the ability to directly collect quantitative information in home and community env…