Matthew Toews
Professor
Engineering at the Ecole de Technologie Superieure, Montreal, Canada.
Département de Génie des Systèmes
École de technologie supérieure
1100, rue Notre-Dame Ouest | Montréal (Qc) Canada | H3C 1K3
Tél.: 514 396-8863 | Bureau A-3595
Zoom: https://etsmtl.zoom.us/
www.matthewtoews.com
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 and Expertise:
- Computer Vision
- Medical Image Analysis
- Artificial Intelligence
- Machine Learning
- Probability Theory
- Information Theory
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‘+ Original articles in refereed journals and books chapters
«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” |
«A comparison of thin-plate spline deformation and finite element modeling to compensate for brain shift during tumor resection»Sarah Frisken, Ma Luo, Parikshit Juvekar, Adomas Bunevicius, Ines Machado, Prashin Unadkat, Melina M” |
«Keypoint transfer for fast whole-body segmentation»Christian Wachinger, Matthew Toews, Georg Langs, William Wells, Polina Golland” |
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+ Papers in refereed conference proceedings
«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” |
«Preliminary results comparing thin-plate splines with finite element methods for modeling brain deformation during neurosurgery using intraoperative ultrasound»S. Frisken, M. Luo, I. MacHado, P. Unadkat, P. Juvekar, A. Bunevicius, M. Toews, W. M. Wells, M. I. Miga, A. J. Golby” |
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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