Matthew Toews

• En codirection avec : Toews, Matthew
  Finding The Optimal Convolutional Neural Network Architecture for Satellite Images, par Javan Roshtkhari,Mehraveh.
  Été 2023
  
• En codirection avec : Toews, Matthew
  Client Selection in Federated Learning using Blockchain based Auction Model, par Batool,Zahra.
  Été 2023
  
• En codirection avec : De Guise, Jacques
  Using Atom-Like Local Image Features to Study Human Genetics and Neuroanatomy in Large Sets of 3D Medical Image Volumes, par Chauvin,Laurent.
  Été 2022
  
• En codirection avec : Toews, Matthew
  Méthode automatique pour la localisation et l'identification de structures osseuses dans les radiographies EOS, par Olory Agomma,Roseline.
  Automne 2021
  

• 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 Rougeau-Moss,Vincent.
  Été 2021
  
• En codirection avec : Harmouche, Rola
  Keypoint Masking for Analyzing Segmented Medical Image Data, par Pépin,Etienne.
  Automne 2020
  
• En codirection avec : Toews, Matthew
  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 Temimi,Mehdi.
  Automne 2020
  
• Visualizing Large Medical Image Datasets Using the 3D Scale-Invariant Feature Transform (SIFT), par Rokooie,Marzieh.
  Hiver 2020
  
• En codirection avec : Granger, Éric
  Modeling Information Flow Through Deep Convolutional Neural Networks, par Nasiri,Behnaz.
  Hiver 2020
  
• Extraction et correspondance de points clés par CNN, par Frija-Altarac,Liam.
  Été 2023
  
• En codirection avec : Toews, Matthew
  Imagerie ultrasonore par réseaux antagonistes génératifs conditionnels (cGAN), par Molinier,Nathan.
  Automne 2022
  
• En codirection avec : Toews, Matthew
  Caractérisation non-destructive de joints collés utilisant des réseaux de neurones convolutives sur des ondes guidées Lamb, par Eiserloh,Clément.
  Automne 2022
  
• Recherche de l’information dans les réseaux de neurones convolutifs pré-entrainés, par Ben Lazreg,Mohsen.
  Automne 2020
  
• Symétrie U(1) et brisure de symétrie dans les couches d’activation de réseaux de neurones convolutifs profonds, par Bouchard,Louis-François.
  Été 2022
  
• Identification des relations familiales à partir d'images cérébrales IRM à l'aide de l'apprentissage profonde, par Vazquez Romaguera,Talia.
  Été 2023
  
• En codirection avec : Toews, Matthew
  Imagerie ultrasonore multi-vues par intelligence artificielle, par Abiven,Maxime.
  Été 2023
  

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

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

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) p. 299-307. 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) p. 293-306. 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) p. 108-118. Cham, Switzerland : 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) p. 45-56. 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) p. 410-419. Cham, Switzerland : 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) p. 91-99. 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) p. 219-228. 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) p. 53-61. 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) p. 30-38. 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) p. 165-171. 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) p. 2628-2632. 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. 28-Mar. 2, 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) p. 1-5. Piscataway, NJ, USA : 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) p. 4035-4038. Piscataway, NJ, USA : 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) p. 847-850. Piscataway, NJ, USA : 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) p. 2162-2167. IEEE.

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) p. 339-350. 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) p. 233-245. Springer International Publishing.

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) p. 315-322. 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) p. 143-150. 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) p. 72-82. Springer International Publishing.

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) p. 25-36. Springer Berlin Heidelberg.

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) p. 111-122. 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) p. 866907-866907.

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) p. 204-211. 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) p. 43-53. Springer Berlin Heidelberg.

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) p. 111-116. Los Alamitos, CA, USA : IEEE Computer Society.

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) p. 55-62. Los Alamitos, CA, USA : 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) p. 1330-1333. Piscataway, NJ, USA : 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) p. 172-177. Piscataway, NJ, USA : 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) p. 435-446. 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) p. 109-116. 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) p. 1-8. Piscataway, NJ, USA : 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) p. 154-167. Springer Berlin Heidelberg.

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) p. 765-768. Piscataway, NJ, USA : 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) p. 232-240.

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) p. 21-24. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers Inc..

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) p. 163-170. 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) p. 1041-1047. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers Inc..

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 9 p.

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.

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.

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 19 p.

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.

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.

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. 7 p.

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. 17 p.

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.

Kuldeep Kumar, Christian Desrosiers, Kaleem Siddiqi, Olivier Colliot, Matthew Toews. 2017-11-14. « Fiberprint: Human Brain Wiring Shows Unique Fingerprint ». Substance ÉTS. vol.

Kuldeep Kumar, Christian Desrosiers, Kaleem Siddiqi, Olivier Colliot, Matthew Toews. 2017-11-14. « L’empreinte cérébrale : une image des connexions du cerveau ». Substance ÉTS. vol.

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 )

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 Coll. «Lecture Notes in Computational Vision and Biomechanics», 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.

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 ». Affiche présentée lors de la conférence : The International Society for Magnetic Resonance in Medicine 20th Scientific Meeting & Exhibition ( Melbourne, Australia, May 5-11, 2012 ) p. 1576.

Matthew Toews. 2008. « A probabilistic model to learn, detect, localize and classify patterns in arbitrary images ». 183 p. Thèse de doctorat. Montreal , McGill University

Matthew Toews. 2004. « Entropy-of-likelihood feature point selection for image correspondence ». Mémoire de maîtrise. Montreal , McGill University