Matthew Toews
Department of Software Engineering and IT
I am a researcher with a PhD degree in Electrical and Computer Engineering. My passion is solving open problems in the analysis of sound, photography, video and medical image data. My work makes use of geometry, probability theory and information theory, and I implement and test algorithms primarily in software. From 2009-2015 I was a postdoctoral fellow at the Surgical Planning Laboratory of the Harvard Medical School. I am currently an associate professor of engineering at the Ecole de Technologie Superieure in Montreal, Canada.
Research interests:
- Information and Communications Technologies
- Health technologies
Research areas:
- Computer vision
- Computer assisted diagnosis
- Face detection and classification
- Image registration
- Local invariant features
- Information theory
- Image processing
- Machine learning
- Medical image analysis
- Medical image analysis
SYS809: Vision par ordinateur
‘+ Original articles in refereed journals and books chapters
«Smartphone integration of artificial intelligence for automated plagiocephaly diagnosis»Watt, Ayden, Lee, James, Toews, Matthew and Gilardino, Mirko S..” |
«Ultrasonic imaging using conditional generative adversarial networks»Molinier, Nathan, Painchaud-April, Guillaume, Le Duff, Alain, Toews, Matthew and Bélanger, Pierre.” |
«Efficient pairwise neuroimage analysis using the soft jaccard index and 3D keypoint sets»Laurent Chauvin, Kuldeep Kumar, Christian Desrosiers, William Wells, Matthew Toews” |
«Deconvolution of ultrasonic signals using a convolutional neural network»Arthur Chapon, Daniel Pereira, Matthew Toews, Pierre Belanger” |
«Neuroimage signature from salient keypoints is highly specific to individuals and shared by close relatives»Laurent Chauvin, Kuldeep Kumar, Christian Wachinger, Marc Vangel, Jacques de Guise, Christian Desrosiers, William Wells, Matthew Toews” |
Read More >
+ Papers in refereed conference proceedings
«Particle size distribution from photographs: comparison of synthetic and real granular material images»Duhaime, François, Pirnia, Pouyan, Manashti, Javad, Temimi, Mehdi, Dubé, Jean-Sébastien and Toews, Matthew.” |
«FL-MAB: Client selection and monetization for blockchain-based federated learning»Zahra Batool, Kaiwen Zhang, Matthew Toews” |
«Detecting defects in materials using deep convolutional neural networks»Quentin Boyadjian, Nicolas Vanderesse, Matthew Toews, Philippe Bocher” |
«Large-Scale unbiased neuroimage indexing via 3D GPU-SIFT filtering and keypoint masking»Étienne Pepin, Jean-Baptiste Carluer, Laurent Chauvin, Matthew Toews, Rola Harmouche” |
«Analyzing brain morphology on the bag-of-features manifold»Laurent Chauvin, Kuldeep Kumar, Christian Desrosiers, Jacques De Guise, William Wells, Matthew Toews” |
‘
Matthew
Toews
Research & Innovation
Contact Us
Pavillon Principal (A)
1100, rue Notre-Dame Ouest
Montréal, QC, H3C 1K3
Room A-3600
Tel.: +1 (514) 396-8650
E-Mail: eric.granger@etsmtl.ca