Reset filters

Search publications


Search by keyword
List by department / centre / faculty

No publications found.

 

Morphological Changes of Deep Extensor Neck Muscles in Relation to the Maximum Level of Cord Compression and Canal Compromise in Patients With Degenerative Cervical Myelopathy

Author(s): Naghdi N; Elliott JM; Weber MH; Fehlings MG; Fortin M;

Study design: Cross-sectional study. Objectives: To examine the relationship between morphological changes of the deep extensor neck muscles in patients with degenerative cervical myelopathy (DCM) and the level of maximum spinal cord compression (MSCC) and canal compromise (MCC). A secondary objective was to examine the relationship between muscle morpho ...

Article GUID: 36289049


FishSegSSL: A Semi-Supervised Semantic Segmentation Framework for Fish-Eye Images

Author(s): Paul S; Patterson Z; Bouguila N;

The application of large field-of-view (FoV) cameras equipped with fish-eye lenses brings notable advantages to various real-world computer vision applications, including autonomous driving. While deep learning has proven successful in conventional computer vision applications using regular perspective images, its potential in fish-eye camera contexts rem ...

Article GUID: 38535151


Development and testing of a 2D offshore oil spill modeling tool (OSMT) supported by an effective calibration method

Author(s): Yang Z; Chen Z; Lee K;

An Oil Spill Modeling Tool (OSMT) has been developed in this study to predict the transport and fate of oil spills resulting from surface releases. Particularly, the Kullback-Leibler (KL) divergence method is adopted as a performance metric for the first time to formulate a calibration framework for spill trajectory prediction (STP) from the Lagrangian tr ...

Article GUID: 36758314


The Smart in Smart Cities: A Framework for Image Classification Using Deep Learning

Author(s): Al-Qudah R; Khamayseh Y; Aldwairi M; Khan S;

The need for a smart city is more pressing today due to the recent pandemic, lockouts, climate changes, population growth, and limitations on availability/access to natural resources. However, these challenges can be better faced with the utilization of new technologies. The zoning design of smart cities can mitigate these challenges. It identifies the ma ...

Article GUID: 35746171


Bayesian Learning of Shifted-Scaled Dirichlet Mixture Models and Its Application to Early COVID-19 Detection in Chest X-ray Images

Author(s): Bourouis S; Alharbi A; Bouguila N;

Early diagnosis and assessment of fatal diseases and acute infections on chest X-ray (CXR) imaging may have important therapeutic implications and reduce mortality. In fact, many respiratory diseases have a serious impact on the health and lives of people. However, certain types of infections may include high variations in terms of contrast, size and shap ...

Article GUID: 34460578


COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray Images.

Author(s): Afshar P, Heidarian S, Naderkhani F, Oikonomou A, Plataniotis KN, Mohammadi A

Novel Coronavirus disease (COVID-19) has abruptly and undoubtedly changed the world as we know it at the end of the 2nd decade of the 21st century. COVID-19 is extremely contagious and quickly spreading globally making its early diagnosis of paramount importance. Early diagnosis of COVID-19 enables health care professionals and government authorities to b ...

Article GUID: 32958971


Gesture-based registration correction using a mobile augmented reality image-guided neurosurgery system.

Author(s): Léger É, Reyes J, Drouin S, Collins DL, Popa T, Kersten-Oertel M

Healthc Technol Lett. 2018 Oct;5(5):137-142 Authors: Léger É, Reyes J, Drouin S, Collins DL, Popa T, Kersten-Oertel M

Article GUID: 30800320


-   Page 1 / 1   -