Faculty profile
Thomas Fevens
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Research
Latest papers
Inferring concussion history in athletes using pose and ground reaction force estimation and stability analysis of plyometric exercise videos.
Medical & biological engineering & computing · 2025 · senior author
MRI as a viable alternative to CT for 3D surgical planning of cavitary bone tumors.
Magnetic resonance imaging · 2025
Comparing novel smartphone pose estimation frameworks with the Kinect V2 for knee tracking during athletic stress tests.
International journal of computer assisted radiology and surgery · 2024
Latest funding
- $144,000
Towards Effective and Interpretable Deep Learning Applications for Microscopic Medical Imaging
NSERC · 2020 · Principal investigator
- $25,000
Distributed Deep Learning using Blockchain Mining Servers for Medical Imaging
NSERC · 2018 · Principal investigator
- $1,650,000
Innovation at the Cutting Edge
NSERC · 2016 · Co-investigator
10 publications.
Inferring concussion history in athletes using pose and ground reaction force estimation and stability analysis of plyometric exercise videos.
Alves W, Babouras A, Martineau PA, Schutt D, Robbins S, Fevens T
MRI as a viable alternative to CT for 3D surgical planning of cavitary bone tumors.
Chae Y, Cheers GM, Kim M, Reidler P, Klein A, Fevens T, Holzapfel BM, Mayer-Wagner S
Comparing novel smartphone pose estimation frameworks with the Kinect V2 for knee tracking during athletic stress tests.
Babouras A, Abdelnour P, Fevens T, Martineau PA
Comparing the Drop Vertical Jump Tracking Performance of the Azure Kinect to the Kinect V2.
Abdelnour P, Zhao KY, Babouras A, Corban JPAH, Karatzas N, Fevens T, Martineau PA
Comparing a Portable Motion Analysis System against the Gold Standard for Potential Anterior Cruciate Ligament Injury Prevention and Screening.
Karatzas N, Abdelnour P, Corban JPAH, Zhao KY, Veilleux LN, Bergeron SG, Fevens T, Rivaz H, Babouras A, Martineau PA
Using an Affordable Motion Capture System to Evaluate the Prognostic Value of Drop Vertical Jump Parameters for Noncontact ACL Injury.
Corban J, Karatzas N, Zhao KY, Babouras A, Bergeron S, Fevens T, Rivaz H, Martineau PA
HoloPhaseNet: fully automated deep-learning-based hologram reconstruction using a conditional generative adversarial model.
Jaferzadeh K, Fevens T
Influence of feature set reduction on breast cancer malignancy classification of fine needle aspiration biopsies.
Jeleń Ł, Krzyżak A, Fevens T, Jeleń M
An automatic variational level set segmentation framework for computer aided dental X-rays analysis in clinical environments.
Li S, Fevens T, Krzyzak A, Li S
Toward automatic computer aided dental X-ray analysis using level set method.
Li S, Fevens T, Krzyzak A, Jin C, Li S
Towards Effective and Interpretable Deep Learning Applications for Microscopic Medical Imaging
Principal investigators: Fevens, Thomas
Keywords: deep learning; computer aided diagnosis; computer aided malignancy grading; nuclear segmentation; convolutional neural networks; cytological imaging; classification interpretability; supervised learning; breast cancer
Distributed Deep Learning using Blockchain Mining Servers for Medical Imaging
Principal investigators: Fevens, Thomas
Innovation at the Cutting Edge
Principal investigators: Barralet, Jake
Computer Assisted Cytological Medical Image Analysis
Principal investigators: Fevens, Thomas
Computational geometry and applications
Principal investigators: Fevens, Thomas
Computational geometry and applications
Principal investigators: Fevens, Thomas
Research om numerical modelling of physical systems, pattern recognition, and image processing
Principal investigators: Fevens, Thomas
computational geometry in micro-manufacturing
Principal investigators: Fevens, Thomas
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Hassan Rivaz and Thomas Fevens: 2 shared papers
- Thomas Fevens and Adam Krzyzak: 2 shared papers
- Shawn Robbins and Thomas Fevens: 1 shared paper
- Louis-Nicolas Veilleux and Hassan Rivaz: 1 shared paper
- Louis-Nicolas Veilleux and Thomas Fevens: 1 shared paper
- Computer Science and Software Engineering
- Electrical and Computer Engineering
- School of Physical and Occupational Therapy
- Other
Co-authors at Concordia University, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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