Matthew Toews

Professeur

Département

Département de génie des systèmes

Formation

B.A.Sc. (University of British Columbia), M.Eng, Ph.D. (McGill), Postdoctorat (Harvard Medical School)

Bureau

A-3595

Courriel

matthew.toews@etsmtl.ca

Professeur souriant en costume, symbole d'expertise et approche humaine en technologie supérieure.

Unités de recherche

Visiter le site web de : LIVIA – Laboratoire d'imagerie, de vision et d'intelligence artificielle
Visiter le site web de : LIO-ÉTS – Laboratoire d'innovation ouverte en technologies de la santé

Axe de recherche

Technologies de la santé

Expertises

Vision par ordinateur
Diagnostic assisté par ordinateur
Détection et classification de visages
Recalage des images
Caractéristiques d’images locales
La théorie de l’information
Traitement d’images
Apprentissage machine
Analyse des images médicales
Analyse d’images médicales

Cours

4 crédits Hiver 2024

4 crédits Automne 2024

Encadrements

En codirection avec : Marco Pedersoli
Finding The Optimal Convolutional Neural Network Architecture for Satellite Images, par Mehraveh Javan Roshtkhari
Automne 2024
En codirection avec : Jacques De Guise
Using Atom-Like Local Image Features to Study Human Genetics and Neuroanatomy in Large Sets of 3D Medical Image Volumes, par Laurent Chauvin
Été 2022
En codirection avec : Kaiwen Zhang
Towards Fair Client Selection and Monetization for Heterogeneous Federated Learning, par Zahra Batool
Été 2024

Auto-filtrage des entrées par le complément spectral et des normalisations fréquentielles et l'utilisation de filtres en loi de puissance pour les réseaux de neurones convolutifs, par Vincent Rougeau-Moss
Été 2021
En codirection avec : Rola Harmouche
Keypoint Masking for Analyzing Segmented Medical Image Data, par Etienne Pépin
Automne 2020
En codirection avec : François Duhaime
Création d’images de matériaux granulaires avec la plateforme de développement de jeux Unity et prédiction de la granulométrie à l’aide de textures et de réseaux de neurones, par Mehdi Temimi
Automne 2020
Visualizing Large Medical Image Datasets Using the 3D Scale-Invariant Feature Transform (SIFT), par Marzieh Rokooie
Hiver 2020
En codirection avec : Éric Granger
Modeling Information Flow Through Deep Convolutional Neural Networks, par Behnaz Nasiri
Hiver 2020
Extraction et correspondance de points clés par CNN, par Liam Frija-Altarac
Automne 2024
En codirection avec : Pierre Bélanger
Imagerie ultrasonore par réseaux antagonistes génératifs conditionnels (cGAN), par Nathan Molinier
Automne 2022
En codirection avec : Pierre Bélanger
Caractérisation non-destructive de joints collés utilisant des réseaux de neurones convolutives sur des ondes guidées Lamb, par Clément Eiserloh
Automne 2022
Recherche de l’information dans les réseaux de neurones convolutifs pré-entrainés, par Mohsen Ben Lazreg
Automne 2020
Symétrie U(1) et brisure de symétrie dans les couches d’activation de réseaux de neurones convolutifs profonds, par Louis-François Bouchard
Été 2022
Identification des relations familiales à partir d'images cérébrales IRM à l'aide de l'apprentissage profonde, par Talia Vazquez Romaguera
Automne 2024

En codirection avec : Louis Rivest
Identification des paramètres et des méthodes de contrôle pour l'automatisation du procédé d'oxycoupage de l'acier, par Guillaume Cloutier
Été 2016
En codirection avec : James Lee
Segmentation d'image pour le diagnostic de plagiocéphalie assisté par ordinateur, par Tristan Clare
Hiver 2020
En codirection avec : Alexandre Gervais
Implémentation d'un algorithme de machine learning pour la détection et la classification de défauts dans un contexte industriel, par Kevin Hillairet
Hiver 2021

Correction du regard dans le cadre d'une vidéoconférence, par Antoine De Reynal de Saint-Michel
Hiver 2016
Utilisation des caractéristiques SIFT-Rank 3D pour la classification de la maladie d'Alzheimer, par Daniel Camilo Diaz Garay
Automne 2017
En codirection avec : Sylvain Germain
Implémentation d'une fonction de transfert, par Julia Le Goc
Été 2017
Un modèle computationnel du transfert d'information dans le cerveau basé sur la structure et la connectivité neurologiques, par Antoine Maugein
Été 2018

Publications

Bruno Madore, Matthew Toews, Chan-Sheng Mei, Renxin Chu, W. Scott Hoge, Lawrence P. Panych. 2012 « Strategy for simultaneous region-tracking and temperature-monitoring in the liver during free-breathing ».

Zahra Batool, Kaiwen Zhang, Matthew Toews. 2023-01-30 « Blockchain technologies for decentralized machine learning ». Substance ÉTS
Zahra Batool, Kaiwen Zhang, Matthew Toews. 2023-01-30 « Les chaînes de blocs pour l’apprentissage machine décentralisé ». Substance ÉTS
Kuldeep Kumar, Christian Desrosiers, Kaleem Siddiqi, Olivier Colliot, Matthew Toews. 2017-11-14 « Fiberprint: Human Brain Wiring Shows Unique Fingerprint ». Substance ÉTS
Kuldeep Kumar, Christian Desrosiers, Kaleem Siddiqi, Olivier Colliot, Matthew Toews. 2017-11-14 « L’empreinte cérébrale : une image des connexions du cerveau ». Substance ÉTS

Nathan Molinier, Guillaume Painchaud-April, Alain Le Duff, Matthew Toews, Pierre Bélanger. 2023 « Ultrasonic imaging using conditional generative adversarial networks ». Ultrasonics vol. 133
Ayden Watt, James Lee, Matthew Toews, Mirko S. Gilardino. 2023 « Smartphone integration of artificial intelligence for automated plagiocephaly diagnosis ». Plastic and Reconstructive Surgery - Global Open vol. 11 , nº 5
Laurent Chauvin, Kuldeep Kumar, Christian Desrosiers, William Wells, Matthew Toews. 2022 « Efficient pairwise neuroimage analysis using the soft jaccard index and 3D keypoint sets ». IEEE Transactions on Medical Imaging vol. 41 , nº 4. p. 836-845
Arthur Chapon, Daniel Pereira, Matthew Toews, Pierre Belanger. 2021 « Deconvolution of ultrasonic signals using a convolutional neural network ». Ultrasonics vol. 111
Laurent Chauvin, Kuldeep Kumar, Christian Wachinger, Marc Vangel, Jacques de Guise, Christian Desrosiers, William Wells, Matthew Toews. 2020 « Neuroimage signature from salient keypoints is highly specific to individuals and shared by close relatives ». NeuroImage vol. 204
Sarah Frisken, Ma Luo, Parikshit Juvekar, Adomas Bunevicius, Ines Machado, Prashin Unadkat, Melina M. Bertotti, Matt Toews, William M. Wells, Michael I. Miga, Alexandra J. Golby. 2020 « A comparison of thin-plate spline deformation and finite element modeling to compensate for brain shift during tumor resection ». International Journal of Computer Assisted Radiology and Surgery vol. 15 , nº 1. p. 75-85
Christian Wachinger, Matthew Toews, Georg Langs, William Wells, Polina Golland. 2020 « Keypoint transfer for fast whole-body segmentation ». IEEE Transactions on Medical Imaging vol. 39 , nº 2. p. 273-282
Ahmad Chaddad, Paul Daniel, Christian Desrosiers, Matthew Toews, Bassam Abdulkarim. 2019 « Novel radiomic features based on joint intensity matrices for predicting glioblastoma patient survival time ». IEEE Journal of Biomedical and Health Informatics vol. 23 , nº 2. p. 795-804
Ahmad Chaddad, Matthew Toews, Christian Desrosiers, Tamim Niazi. 2019 « Deep radiomic analysis based on modeling information flow in convolutional neural networks ». IEEE Access vol. 7. p. 97242-97252
Inês Machado, Matthew Toews, Elizabeth George, Prashin Unadkat, Walid Essayed, Jie Luo, Pedro Teodoro, Herculano Carvalho, Jorge Martins, Polina Golland, Steve Pieper, Sarah Frisken, Alexandra Golby, William Wells III, Yangming Ou. 2019 « Deformable MRI-Ultrasound registration using correlation-based attribute matching for brain shift correction: accuracy and generality in multi-site data ». NeuroImage vol. 202
Kuldeep Kumar, Matthew Toews, Laurent Chauvin, Olivier Colliot, Christian Desrosiers. 2018 « Multi-modal brain fingerprinting: A manifold approximation based framework ». NeuroImage vol. 183. p. 212-226
Jie Luo, Sarah Frisken, Ines Machado, Mlaomlao Zhang, Steve Pieper, Polina Golland, Matthew Toews, Prashln Unadkat, Alireza Sedghi, Haoyln Zhou, Alireza Mehrtash, Frank Preiswerk, Cheng-Chleh Cheng, Alexandra Golby, Masashi Sugiyama, William M. III Wells. 2018 « Using the variogram for vector outlier screening: application to feature-based image registration ». International Journal of Computer Assisted Radiology and Surgery vol. 13 , nº 12. p. 1871-1880
Inês Machado, Matthew Toews, Jie Luo, Pashin Unadkat, Walid Essayed, Elizabeth George, Pedro Teodoro, Herculano Carvalho, Jorge Martins, Polina Golland, Steve Pieper, Sarah Frisken, Alexandra Golby, William III Wells. 2018 « Non-rigid registration of 3D ultrasound for neurosurgery using automatic feature detection and matching ». International Journal of Computer Assisted Radiology and Surgery vol. 13 , nº 10. p. 1525-1538
Matthew Toews, M. William Wells. 2018 « Phantomless auto-calibration and online calibration assessment for a tracked freehand 2-D ultrasound probe ». IEEE Transactions on Medical Imaging vol. 37 , nº 1. p. 262-272
Ahmad Chaddad, Christian Desrosiers, Matthew Toews. 2017 « Multi-scale radiomic analysis of sub-cortical regions in MRI related to autism, gender and age ». Scientific Reports vol. 7
Ahmad Chaddad, Christian Desrosiers, Matthew Toews, Bassam Abdulkarim. 2017 « Predicting survival time of lung cancer patients using radiomic analysis ». Oncotarget vol. 8 , nº 61. p. 104393-104407
Hawraa Haj-Hassan, Ahmad Chaddad, Youssef Harkouss, Christian Desrosiers, Matthew Toews, Camel Tanougast. 2017 « Classifications of multispectral colorectal cancer tissues using convolution neural network ». Journal of Pathology Informatics vol. 8 , nº 1
Kuldeep Kumar, Christian Desrosiers, Kaleem Siddiqi, Olivier Colliot, Matthew Toews. 2017 « Fiberprint: A subject fingerprint based on sparse code pooling for white matter fiber analysis ». NeuroImage vol. 158. p. 242-259
Frank Preiswerk, Matthew Toews, Cheng-Chieh Cheng, Jr-yuan George Chiou, Chang-Sheng Mei, Lena F. Schaefer, W. Scott Hoge, Benjamin M. Schwartz, Lawrence P. Panych, Bruno Madore. 2017 « Hybrid MRI-Ultrasound acquisitions, and scannerless real-time imaging ». Magnetic Resonance in Medicine vol. 78 , nº 3. p. 897-908
Ahmad Chaddad, Christian Desrosiers, Ahmed Bouridane, Matthew Toews, Lama Hassan, Camel Tanougast. 2016 « Multi texture analysis of colorectal cancer continuum using multispectral imagery ». PLoS ONE vol. 11 , nº 2
G. Gill, M. Toews, R. R. Beichel. 2014 « Robust initialization of active shape models for lung segmentation in CT scans: a feature-based atlas approach ». International Journal of Biomed Imaging. p. 479154
Matthew Toews, William M. Wells III. 2013 « Efficient and robust model-to-image alignment using 3D scale-invariant features ». Medical Image Analysis vol. 17 , nº 3. p. 271-282
Matthew Toews, William M. Wells III, D. Louis Collins, Tal Arbel. 2010 « Feature-based morphometry: discovering group-related anatomical patterns ». NeuroImage vol. 49 , nº 3. p. 2318-2327
M. Toews, T. Arbel. 2009 « Detection, localization, and sex classification of faces from arbitrary viewpoints and under occlusion ». IEEE Transactions on Pattern Analysis and Machine Intelligence vol. 31 , nº 9. p. 1567-1581
M. Toews, T. Arbel. 2007 « A statistical parts-based model of anatomical variability ». IEEE Transactions on Medical Imaging vol. 26 , nº 4. p. 497-508

Tina Kapur, Jan Egger, Jagadeesan Jayender, Matthew Toews, William M. Wells III. 2014 « Registration and segmentation for image-guided therapy ». In Intraoperative Imaging and Image-Guided Therapy. p. 79-91. Springer New York
Bernard Ng, Matthew Toews, Stanley Durrleman, Yonggang Shi. 2014 « Shape analysis for brain structures ». In Shape analysis in medical image analysis vol. 14. p. 3-49. Springer International Publishing
M. Toews, Tal Arbel. 2009 « Parts-based modelling of medical imagery ». In Computational intelligence in medical imaging: techniques and applications. p. 291-326. CRC Press

Matthew Toews, Christian Wachinger, Raul San Jose Estepar, William M. Wells III. 2015 « A feature-based approach to Big Data medical image analysis ». Communication lors de la conférence : Information Processing in Medical Imaging (IPMI 2015) (Isle of Skye, Scotland, June 28 - July 3, 2015)
Matthew Toews, Chan-Sheng Mei, Renxin Chu, W. Scott Hoge, Lawrence P. Panych, Bruno Madore. 2014 « Detecting rapid organ motion using a hybrid MR-ultrasound setup and Bayesian data processing ». Communication lors de la conférence : Joint Annual Meeting ISMRM-ESMRMB 2014 (Milan, Italy, May 10-16, 2014)
Matthew Toews, Chang-Sheng Mei, Renxin Chu, W. Scott Hoge, Benjamin M. Schwarts, Guangyu Wang, Lawrence P. Panych, Bruno Madore. 2013 « Boosting MR temporal resolution using rapid ultrasound measurements for motion tracking purposes ». Communication lors de la conférence : ISMRM 21st Annual Meeting and Exhibition (Salt Lake City, UT, USA, Apr. 20-26, 2013)

Mehraveh Javan Roshtkhari, Matthew Toews, Marco Pedersoli. 2023 « Balanced mixture of supernets for learning the CNN pooling architecture ». 2nd International Conferenceon Automated Machine Learning, AutoML (Berlin, Germany, Sept. 12-15, 2023) ML Research Press
Zahra Batool, Kaiwen Zhang, Matthew Toews. 2022 « FL-MAB: Client selection and monetization for blockchain-based federated learning ». Proceedings of the ACM Symposium on Applied Computing (En ligne, Apr. 25-29, 2022) Association for Computing Machinery
François Duhaime, Pouyan Pirnia, Javad Manashti, Mehdi Temimi, Jean-Sébastien Dubé, Matthew Toews. 2021 « Particle size distribution from photographs: comparison of synthetic and real granular material images ». GeoNiagara 2021 : 74e conférence canadienne de géotechnique et la 14e conférence conjointe SCG/AIH-SNC sur les eaux souterraines (Niagara Falls, ON, Canada, Sept. 26-29, 2021)
Quentin Boyadjian, Nicolas Vanderesse, Matthew Toews, Philippe Bocher. 2020 « Detecting defects in materials using deep convolutional neural networks ». Image Analysis and Recognition : 17th International Conference, ICIAR 2020, Póvoa de Varzim, Portugal, June 24–26, 2020, Proceedings, Part I (Póvoa de Varzim, Portugal, June 24-26, 2020) Springer
Étienne Pepin, Jean-Baptiste Carluer, Laurent Chauvin, Matthew Toews, Rola Harmouche. 2020 « Large-Scale unbiased neuroimage indexing via 3D GPU-SIFT filtering and keypoint masking ». Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology. Third International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020. Held in Conjunction with MICCAI 2020, 4-8 Oct. 2020 (Lima, Peru, Oct. 04-08, 2020) Springer International Publishing
Laurent Chauvin, Kuldeep Kumar, Christian Desrosiers, Jacques De Guise, William Wells, Matthew Toews. 2019 « Analyzing brain morphology on the bag-of-features manifold ». Information Processing in Medical Imaging : 26th International Conference, IPMI : Proceedings (Hong Kong, China, June 02-07, 2019) Springer Verlag
S. Frisken, M. Luo, I. MacHado, P. Unadkat, P. Juvekar, A. Bunevicius, M. Toews, W. M. Wells, M. I. Miga, A. J. Golby. 2019 « Preliminary results comparing thin-plate splines with finite element methods for modeling brain deformation during neurosurgery using intraoperative ultrasound ». Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling (San Diego, CA, USA, Feb. 17-19, 2019) SPIE
Jie Luo, Alireza Sedghi, Karteek Popuri, Dana Cobzas, Miaomiao Zhang, Frank Preiswerk, Matthew Toews, Alexandra Golby, Masashi Sugiyama, William M. Wells, Sarah Frisken. 2019 « On the applicability of registration uncertainty ». Medical Image Computing and Computer Assisted Intervention - MICCAI 2019. 22nd International Conference : Proceedings (Shenzhen, China, Oct. 13-17, 2019) Springer International Publishing
Laurent Chauvin, Kuldeep Kumar, Christian Desrosiers, Jacques de Guise, Matthew Toews. 2018 « Diffusion Orientation Histograms (DOH) for diffusion weighted image analysis ». Computational Diffusion MRI : MICCAI Workshop, Québec, Canada, September 2017 (Montreal, QC, Canada, Sept. 10, 2017) Springer International Publishing
Kuldeep Kumar, Laurent Chauvin, Matthew Toews, Olivier Colliot, Christian Desrosiers. 2018 « Multi-modal analysis of genetically-related subjects using SIFT descriptors in brain MRI ». Computational Diffusion MRI : MICCAI Workshop, Québec, Canada, September 2017 (Québec, QC, Canada, 10 sept. 2017) Springer International Publishing
Florent Langenfeld, Apostolos Axenopoulos, Anargyros Chatzitofis, Daniela Craciun, Petros Daras, Bowen Du, Andrea Giachetti, Yu-Kun Lai, Haisheng Li, Yingbin Li, Majid Masoumi, Yuxu Peng, Paul L. Rosin, Jeremy Sirugue, Li Sun, Spyridon Thermos, Matthew Toews, Yang Wei, Yujuan Wu, Yujia Zhai, Tianyu Zhao, Yanping Zheng, Matthieu Montes. 2018 « SHREC 2018 - Protein shape retrieval ». 11th Eurographics Workshop on 3D Object Retrieval (3DOR) (Delft, Netherlands, Apr. 16, 2018) Eurographics Association
Jie Luo, Matthew Toews, Ines Machado, Sarah Frisken, Miaomiao Zhang, Frank Preiswerk, Alireza Sedghi, Hongyi Ding, Steve Pieper, Polina Golland, Alexandra Golby, Masashi Sugiyama, William M. Wells Iii. 2018 « A feature-driven active framework for ultrasound-based brain shift compensation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 : 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part IV (Granada, Spain, Sept. 16-20, 2018) Springer
Ines Machado, Matthew Toews, Jie Luo, Prashin Unadkat, Walid Essayed, Elizabeth George, Pedro Teodoro, Herculano Carvalho, Jorge Martins, Polina Golland, Steve Pieper, Sarah Frisken, Alexandra Golby, William Wells, Yangming Ou. 2018 « Deformable MRI-ultrasound registration via attribute matching and mutual-saliency weighting for image-guided neurosurgery ». Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation : International Workshops, POCUS 2018, BIVPCS 2018, CuRIOUS 2018, and CPM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16–20, 2018, Proceed (Granada, Spain, Sept. 16-20, 2018) Springer Verlag
Jorn Bersvendsen, Matthew Toews, Adriyana Danudibroto, William M. Wells, Stig Urheim, Raul San José Estepar, Eigil Samset. 2016 « Robust spatio-temporal registration of 4D cardiac ultrasound sequences ». Medical Imaging 2016: Ultrasonic Imaging and Tomography (San Diego, CA, USA, Feb. 28-29, 2016) SPIE
Ahmad Chaddad, Christian Desrosiers, Lama Hassan, Matthew Toews. 2016 « Multispectral texture analysis of histopathological abnormalities in colorectal tissues ». IEEE International Conference on Image Processing (ICIP) (Phoenix, AZ, USA, Sept. 25-28, 2016) IEEE
Ahmad Chaddad, Christian Desrosiers, Matthew Toews. 2016 « GBM heterogeneity characterization by radiomic analysis of phenotype anatomical planes ». Medical Imaging 2016: Image Processing (San Diego, CA, USA, Fev. 27-Mar. 03, 2016) SPIE
Ahmad Chaddad, Christian Desrosiers, Matthew Toews. 2016 « Local discriminative characterization of MRI for Alzheimer's disease ». 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) (Prague, Czech Republic, Apr. 13-16, 2016) IEEE
Ahmad Chaddad, Christian Desrosiers, Matthew Toews. 2016 « Phenotypic characterization of glioblastoma identified through shape descriptors ». Medical Imaging 2016: Computer-Aided Diagnosis (San Diego, CA, USA, Feb. 28-Mar. 02, 2016) SPIE
Ahmad Chaddad, Christian Desrosiers, Matthew Toews. 2016 « Radiomic analysis of multi-contrast brain MRI for the prediction of survival in patients with glioblastoma multiforme ». 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (Orlando, FL, USA, Aug. 16-20, 2016) IEEE
Kuldeep Kumar, Christian Desrosiers, Ahmad Chaddad, Matthew Toews. 2016 « Spatially constrained sparse regression for the data-driven discovery of neuroimaging biomarkers ». 23rd International Conference on Pattern Recognition (ICPR) (Cancún, México, Dec. 04-08, 2016) IEEE
Matthew Toews, William M. Wells. 2016 « How are siblings similar? How similar are siblings? Large-scale imaging genetics using local image features ». 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) (Prague, Czech Republic, Apr. 13-16, 2016) IEEE
Frank Preiswerk, Matthew Toews, W. Scott Hoge, Jr-yuan George Chiou, Lawrence P. Panych, William M. Wells, Bruno Madore. 2015 « Hybrid utrasound and MRI acquisitions for high-speed imaging of respiratory organ motion ». Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings (Munich, Germany, Oct. 5-9, 2015) Springer International Publishing
Matthew Toews, Christian Wachinger, Raul San Jose Estepar, William M. III Wells. 2015 « A Feature-based approach to big data analysis of medical images ». Information Processing in Medical Imaging : 24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28 - July 3, 2015, Proceedings (Sabhal Mor Ostaig, Isle of Skye, UK, June 28-July 3, 2015) Springer International Publishing
C. Wachinger, M. Toews, G. Langs, W. Wells, P. Golland. 2015 « Keypoint transfer segmentation ». Information Processing in Medical Imaging : 24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28 - July 3, 2015, Proceedings (Sabhal Mor Ostaig, Isle of Skye, UK, June 28-July 3, 2015) Springer International Publishing
Matthew Toews, Alexandra J. Golby, William M. Wells III. 2014 « Inter-slice correspondence for 2D ultrasound-guided procedures ». Clinical Image-Based Procedures. Translational Research in Medical Imaging (Nagoya, Japan, Sept. 24, 2013) Springer International Publishing
Demian Wassermann, Matthew Toews, Marc Niethammer, William M. Wells III. 2014 « Probabilistic diffeomorphic registration: representing uncertainty ». Biomedical Image Registration : 6th International Workshop, WBIR 2014, London, UK, July 7-8, 2014. Proceedings (London, UK, July 7-8, 2014) Springer International Publishing
Gurman Gill, Matthew Toews, Reinhard R. Beichel. 2013 « An automated initialization system for robust model-based segmentation of lungs in CT data ». The Fifth International Workshop on Pulmonary Image Analysis (Nagoya, Japan, Sept. 26, 2013) MICCAI
Aditya Gupta, Matthew Toews, Ravikiran Janardhana, Yogesh Rathi, John Gilmore, Maria Escolar, Martin Styner. 2013 « Fiber feature map based landmark initialization for highly deformable DTI registration ». Proceedings of SPIE 8669, Medical Imaging 2013: Image Processing (Orlando, FL, USA, Mar. 13, 2013)
Matthew Toews, Lilla Zöllei, William M. Wells. 2013 « Feature-based alignment of volumetric multi-modal images ». Information processing in medical imaging : 23rd International Conference, IPMI 2013, Asilomar, CA, USA, June 28–July 3, 2013. Proceedings (Asilomar, CA, USA, June 28–July 3, 2013) Springer Berlin Heidelberg
Matthew Toews, William M. Wells III, Lilla Zöllei. 2012 « A feature-based developmental model of the infant brain in structural MRI ». Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012 : 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part II (Nice, France, Oct. 1-5, 2012) Springer Berlin Heidelberg
Rishi Rajalingham, Matthew Toews, D. Louis Collins, Tal Arbel. 2011 « Exploring cortical folding pattern variability using local image features ». Medical computer vision. Recognition techniques and applications in medical imaging : International MICCAI Workshop, MCV 2010, Beijing, China, September 20, 2010, Revised Selected Papers (Beijing, China, Sept. 20, 2010) Springer Berlin Heidelberg
Meltem Demirkus, Matthew Toews, James J. Clark, Tal Arbel. 2010 « Gender classification from unconstrained video sequences ». 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops (CVPRW) (San Francisco, CA, USA, June 13-18, 2010) IEEE Computer Society
Matthew Toews, William M. Wells III. 2010 « A mutual-information scale-space for image feature detection and feature-based classification of volumetric brain images ». 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops (CVPRW) (San Francisco, CA, United states, June 13-18, 2010) IEEE Computer Society
Matthew Toews, D. Louis Collins, Tal Arbel. 2009 « Automatically learning cortical folding patterns ». IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2009. ISBI '09 (Boston, MA, USA, June 28-July 1, 2009) IEEE Computer Society
Matthew Toews, William III Wells. 2009 « SIFT-Rank: Ordinal description for invariant feature correspondence ». IEEE Conference onComputer Vision and Pattern Recognition, 2009. CVPR 2009 (Miami, FL, USA, June 20-25, 2009) IEEE Computer Society
Matthew Toews, William M. Wells. 2009 « Bayesian registration via local image regions: information, selection and marginalization ». Information processing in medical imaging : 21st International Conference, IPMI 2009, Williamsburg, VA, USA, July 5-10, 2009. Proceedings (Williamsburg, VA, USA, July 5-10, 2009) Springer Berlin Heidelberg
Matthew Toews, William M. Wells, D. Louis Collins, Tal Arbel. 2009 « Feature-based morphometry ». Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009 : 12th International Conference, London, UK, September 20-24, 2009, Proceedings, Part II (London, UK, Sept. 20-24, 2009) Springer Berlin Heidelberg
Matthew Toews, Tal Arbel. 2007 « Detecting and localizing 3D object classes using viewpoint invariant reference frames ». IEEE 11th International Conference on Computer Vision, 2007. ICCV 2007 (Rio de Janeiro, Brazil, Oct. 14-21, 2007) Institute of Electrical and Electronics Engineers Inc.
Matthew Toews, Tal Arbel. 2007 « Detecting, localizing and classifying visual traits from arbitrary viewpoints using probabilistic local feature modeling ». Analysis and modeling of faces and gestures : Third International Workshop, AMFG 2007 Rio de Janeiro, Brazil, October 20, 2007 Proceedings (Rio de Janeiro, Brazil, Oct. 20, 2007) Springer Berlin Heidelberg
Frank Riggi, Matthew Toews, Tal Arbel. 2006 « Fundamental matrix estimation via TIP - Transfer of Invariant Parameters ». 18th International Conference on Pattern Recognition, 2006. ICPR 2006 (Hong Kong, China, Aug. 20-24, 2006) Institute of Electrical and Electronics Engineers Inc.
Matthew Toews, Tal Arbel. 2006 « Detection over viewpoint via the object class invariant ». 18th International Conference on Pattern Recognition, 2006. ICPR 2006 (Hong Kong, China, Aug. 20-24, 2006) Institute of Electrical and Electronics Engineers Inc.
Matthew Toews, D. Louis Collins, Tal Arbel. 2006 « A statistical parts-based appearance model of inter-subject variability ». Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006. 9th International Conference, Copenhagen, Denmark, October 1-6, 2006, Proceedings, Part I (Copenhagen, Denmark, Oct. 1-6, 2006)
Matthew Toews, Louis D. Collins, Tal Arbel. 2005 « Maximum a posteriori local histogram estimation for image registration ». Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005 : 8th International Conference, Palm Springs, CA, USA, October 26-29, 2005, Proceedings, Part II (Palm Springs, CA, USA, Oct. 26-29, 2005) Springer Berlin Heidelberg
M. Toews, T. Arbel. 2003 « Entropy-of-likelihood feature selection for image correspondence ». Ninth IEEE International Conference on Computer Vision, 2003. Proceedings (Nice, France, Oct. 13-16, 2003) Institute of Electrical and Electronics Engineers Inc.