Matthew Toews

According to our database, Matthew Toews authored at least 67 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Coloring Deep CNN Layers with Activation Hue Loss.

Louis-François Bouchard, Mohsen Ben Lazreg, Matthew Toews

CoRR, 2023

PSDNet: Determination of Particle Size Distributions Using Synthetic Soil Images and Convolutional Neural Networks.

Javad Manashti, Pouyan Pirnia, Alireza Manashty, Sahar Ujan, Matthew Toews, François Duhaime

CoRR, 2023

Comparing PSDNet, pretrained networks, and traditional feature extraction for predicting the particle size distribution of granular materials from photographs.

Javad Manashti, François Duhaime, Matthew F. Toews, Pouyan Pirnia, Jn Kinsonn Telcy

CoRR, 2023

Balanced Mixture of Supernets for Learning the CNN Pooling Architecture.

Mehraveh Javan Roshtkhari, Matthew Toews, Marco Pedersoli

Proceedings of the International Conference on Automated Machine Learning, 2023

2022

Efficient Pairwise Neuroimage Analysis Using the Soft Jaccard Index and 3D Keypoint Sets.

Laurent Chauvin, Kuldeep Kumar, Christian Desrosiers, William M. Wells III, Matthew Toews

IEEE Trans. Medical Imaging, 2022

U(1) Symmetry-breaking Observed in Generic CNN Bottleneck Layers.

Louis-François Bouchard, Mohsen Ben Lazreg, Matthew Toews

CoRR, 2022

Registering Image Volumes using 3D SIFT and Discrete SP-Symmetry.

Laurent Chauvin, William M. Wells III, Matthew Toews

CoRR, 2022

FL-MAB: client selection and monetization for blockchain-based federated learning.

Zahra Batool, Kaiwen Zhang, Matthew Toews

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

2021

GPU optimization of the 3D Scale-invariant Feature Transform Algorithm and a Novel BRIEF-inspired 3D Fast Descriptor.

Jean-Baptiste Carluer, Laurent Chauvin, Jie Luo, William M. Wells III, Inês Machado, Rola Harmouche, Matthew Toews

CoRR, 2021

Curating Subject ID Labels using Keypoint Signatures.

Laurent Chauvin, Matthew Toews

CoRR, 2021

2020

Keypoint Transfer for Fast Whole-Body Segmentation.

Christian Wachinger, Matthew Toews, Georg Langs, William M. Wells III, Polina Golland

IEEE Trans. Medical Imaging, 2020

Neuroimage signature from salient keypoints is highly specific to individuals and shared by close relatives.

Laurent Chauvin, Kuldeep Kumar, Christian Wachinger, Mark G. Vangel, Jacques A. de Guise, Christian Desrosiers, William M. Wells III, Matthew Toews

NeuroImage, 2020

Large Scale Indexing of Generic Medical Image Data using Unbiased Shallow Keypoints and Deep CNN Features.

Laurent Chauvin, Mohsen Ben Lazreg, Jean-Baptiste Carluer, William M. Wells III, Matthew Toews

CoRR, 2020

A comparison of thin-plate spline deformation and finite element modeling to compensate for brain shift during tumor resection.

Sarah F. Frisken, Ma Luo, Parikshit Juvekar, Adomas Bunevicius, Inês Machado, Prashin Unadkat, Melina M. Bertotti, Matthew Toews, William M. Wells III, Michael I. Miga, Alexandra J. Golby

Int. J. Comput. Assist. Radiol. Surg., 2020

Large-Scale Unbiased Neuroimage Indexing via 3D GPU-SIFT Filtering and Keypoint Masking.

Étienne Pepin, Jean-Baptiste Carluer, Laurent Chauvin, Matthew Toews, Rola Harmouche

Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

Detecting Defects in Materials Using Deep Convolutional Neural Networks.

Quentin Boyadjian, Nicolas Vanderesse, Matthew Toews, Philippe Bocher

Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020

2019

Novel Radiomic Features Based on Joint Intensity Matrices for Predicting Glioblastoma Patient Survival Time.

Ahmad Chaddad, Paul Daniel, Christian Desrosiers, Matthew Toews, Bassam Abdulkarim

IEEE J. Biomed. Health Informatics, 2019

Deformable MRI-Ultrasound registration using correlation-based attribute matching for brain shift correction: Accuracy and generality in multi-site data.

Inês Machado, Matthew Toews, Elizabeth George, Prashin Unadkat, Walid Essayed, Jie Luo, Pedro Teodoro, Herculano Carvalho, Jorge Martins, Polina Golland, Steve Pieper, Sarah F. Frisken, Alexandra J. Golby, William M. Wells III, Yangming Ou

NeuroImage, 2019

Deep Radiomic Analysis Based on Modeling Information Flow in Convolutional Neural Networks.

Ahmad Chaddad, Matthew Toews, Christian Desrosiers, Tamim Niazi

IEEE Access, 2019

Preliminary results comparing thin-plate splines with finite element methods for modeling brain deformation during neurosurgery using intraoperative ultrasound.

Sarah F. Frisken, Ma Luo, Inês Machado, Prashin Unadkat, Parikshit Juvekar, Adomas Bunevicius, Matthew Toews, William M. Wells III, Michael I. Miga, Alexandra J. Golby

Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019

On the Applicability of Registration Uncertainty.

Jie Luo, Alireza Sedghi, Karteek Popuri, Dana Cobzas, Miaomiao Zhang, Frank Preiswerk, Matthew Toews, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III, Sarah F. Frisken

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Analyzing Brain Morphology on the Bag-of-Features Manifold.

Laurent Chauvin, Kuldeep Kumar, Christian Desrosiers, Jacques A. de Guise, William M. Wells III, Matthew Toews

Proceedings of the Information Processing in Medical Imaging, 2019

2018

Phantomless Auto-Calibration and Online Calibration Assessment for a Tracked Freehand 2-D Ultrasound Probe.

Matthew Toews, William M. Wells III

IEEE Trans. Medical Imaging, 2018

Multi-modal brain fingerprinting: A manifold approximation based framework.

Kuldeep Kumar, Matthew Toews, Laurent Chauvin, Olivier Colliot, Christian Desrosiers

NeuroImage, 2018

On the Ambiguity of Registration Uncertainty.

Jie Luo, Sarah F. Frisken, Karteek Popuri, Dana Cobzas, Frank Preiswerk, Matthew Toews, Miaomiao Zhang, Hongyi Ding, Polina Golland, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III

CoRR, 2018

Non-rigid registration of 3D ultrasound for neurosurgery using automatic feature detection and matching.

Inês Machado, Matthew Toews, Jie Luo, Prashin Unadkat, Walid Essayed, Elizabeth George, Pedro Teodoro, Herculano Carvalho, Jorge Martins, Polina Golland, Steve Pieper, Sarah F. Frisken, Alexandra J. Golby, William M. Wells III

Int. J. Comput. Assist. Radiol. Surg., 2018

Using the variogram for vector outlier screening: application to feature-based image registration.

Jie Luo, Sarah F. Frisken, Inês Machado, Miaomiao Zhang, Steve Pieper, Polina Golland, Matthew Toews, Prashin Unadkat, Alireza Sedghi, Haoyin Zhou, Alireza Mehrtash, Frank Preiswerk, Cheng-Chieh Cheng, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III

Int. J. Comput. Assist. Radiol. Surg., 2018

Deformable MRI-Ultrasound Registration via Attribute Matching and Mutual-Saliency Weighting for Image-Guided Neurosurgery.

Inês Machado, Matthew Toews, Jie Luo, Prashin Unadkat, Walid Essayed, Elizabeth George, Pedro Teodoro, Herculano Carvalho, Jorge Martins, Polina Golland, Steve Pieper, Sarah F. Frisken, Alexandra J. Golby, William M. Wells III, Yangming Ou

Proceedings of the Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation, 2018

A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation.

Jie Luo, Matthew Toews, Inês Machado, Sarah F. Frisken, Miaomiao Zhang, Frank Preiswerk, Alireza Sedghi, Hongyi Ding, Steve Pieper, Polina Golland, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Protein Shape Retrieval.

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 Montès

Proceedings of the 11th Eurographics Workshop on 3D Object Retrieval, 2018

2017

Fiberprint: A subject fingerprint based on sparse code pooling for white matter fiber analysis.

Kuldeep Kumar, Christian Desrosiers, Kaleem Siddiqi, Olivier Colliot, Matthew Toews

NeuroImage, 2017

Modeling Information Flow Through Deep Neural Networks.

Ahmad Chaddad, Behnaz Naisiri, Marco Pedersoli, Eric Granger, Christian Desrosiers, Matthew Toews

CoRR, 2017

Multi-modal analysis of genetically-related subjects using SIFT descriptors in brain MRI.

Kuldeep Kumar, Laurent Chauvin, Matthew Toews, Olivier Colliot, Christian Desrosiers

CoRR, 2017

2016

GBM heterogeneity characterization by radiomic analysis of phenotype anatomical planes.

Ahmad Chaddad, Christian Desrosiers, Matthew Toews

Proceedings of the Medical Imaging 2016: Image Processing, 2016

Phenotypic characterization of glioblastoma identified through shape descriptors.

Ahmad Chaddad, Christian Desrosiers, Matthew Toews

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016

How are siblings similar? How similar are siblings? Large-scale imaging genetics using local image features.

Matthew Toews, William M. Wells III

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Local discriminative characterization of MRI for Alzheimer's disease.

Ahmad Chaddad, Christian Desrosiers, Matthew Toews

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Spatially constrained sparse regression for the data-driven discovery of Neuroimaging biomarkers.

Kuldeep Kumar, Christian Desrosiers, Ahmad Chaddad, Matthew Toews

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Multispectral texture analysis of histopathological abnormalities in colorectal tissues.

Ahmad Chaddad, Christian Desrosiers, Lama Hassan, Matthew Toews

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Radiomic analysis of multi-contrast brain MRI for the prediction of survival in patients with glioblastoma multiforme.

Ahmad Chaddad, Christian Desrosiers, Matthew Toews

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015

Hybrid Utrasound and MRI Acquisitions for High-Speed Imaging of Respiratory Organ Motion.

Frank Preiswerk, Matthew Toews, William Scott Hoge, Jr-yuan George Chiou, Lawrence P. Panych, William M. Wells III, Bruno Madore

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Keypoint Transfer Segmentation.

Christian Wachinger, Matthew Toews, Georg Langs, William M. Wells III, Polina Golland

Proceedings of the Information Processing in Medical Imaging, 2015

A Feature-Based Approach to Big Data Analysis of Medical Images.

Matthew Toews, Christian Wachinger, Raúl San José Estépar, William M. Wells III

Proceedings of the Information Processing in Medical Imaging, 2015

2014

Robust Initialization of Active Shape Models for Lung Segmentation in CT Scans: A Feature-Based Atlas Approach.

Gurman Gill, Matthew Toews, Reinhard R. Beichel

Int. J. Biomed. Imaging, 2014

Probabilistic Diffeomorphic Registration: Representing Uncertainty.

Demian Wassermann, Matthew Toews, Marc Niethammer, William M. Wells III

Proceedings of the Biomedical Image Registration - 6th International Workshop, 2014

2013

Efficient and robust model-to-image alignment using 3D scale-invariant features.

Matthew Toews, William M. Wells III

Medical Image Anal., 2013

Fiber feature map based landmark initialization for highly deformable DTI registration.

Aditya Gupta, Matthew Toews, Ravikiran Janardhana, Yogesh Rathi, John H. Gilmore, Maria L. Escolar, Martin Styner

Proceedings of the Medical Imaging 2013: Image Processing, 2013

Inter-slice Correspondence for 2D Ultrasound-Guided Procedures.

Matthew Toews, Alexandra J. Golby, William M. Wells III

Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2013

Feature-Based Alignment of Volumetric Multi-modal Images.

Matthew Toews, Lilla Zöllei, William M. Wells III

Proceedings of the Information Processing in Medical Imaging, 2013

2012

A Feature-Based Developmental Model of the Infant Brain in Structural MRI.

Matthew Toews, William M. Wells III, Lilla Zöllei

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

2010

Feature-based morphometry: Discovering group-related anatomical patterns.

Matthew Toews, William M. Wells III, D. Louis Collins, Tal Arbel

NeuroImage, 2010

Exploring Cortical Folding Pattern Variability Using Local Image Features.

Rishi Rajalingham, Matthew Toews, D. Louis Collins, Tal Arbel

Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2010

A mutual-information scale-space for image feature detection and feature-based classification of volumetric brain images.

Matthew Toews, William M. Wells III

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

Gender classification from unconstrained video sequences.

Meltem Demirkus, Matthew Toews, James J. Clark, Tal Arbel

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Detection, Localization, and Sex Classification of Faces from Arbitrary Viewpoints and under Occlusion.

Matthew Toews, Tal Arbel

IEEE Trans. Pattern Anal. Mach. Intell., 2009

Feature-Based Morphometry.

Matthew Toews, William M. Wells III, D. Louis Collins, Tal Arbel

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Automatically Learning Cortical Folding Patterns.

Matthew Toews, D. Louis Collins, Tal Arbel

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Bayesian Registration via Local Image Regions: Information, Selection and Marginalization.

Matthew Toews, William M. Wells III

Proceedings of the Information Processing in Medical Imaging, 2009

SIFT-Rank: Ordinal description for invariant feature correspondence.

Matthew Toews, William M. Wells III

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2007

A Statistical Parts-Based Model of Anatomical Variability.

Matthew Toews, Tal Arbel

IEEE Trans. Medical Imaging, 2007

Detecting and Localizing 3D Object Classes using Viewpoint Invariant Reference Frames.

Matthew Toews, Tal Arbel

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Detecting, Localizing and Classifying Visual Traits from Arbitrary Viewpoints Using Probabilistic Local Feature Modeling.

Matthew Toews, Tal Arbel

Proceedings of the Analysis and Modeling of Faces and Gestures, 2007

2006

A Statistical Parts-Based Appearance Model of Inter-subject Variability.

Matthew Toews, D. Louis Collins, Tal Arbel

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

Detection Over Viewpoint via the Object Class Invariant.

Matthew Toews, Tal Arbel

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Fundamental Matrix Estimation via TIP - Transfer of Invariant Parameters.

Frank Riggi, Matthew Toews, Tal Arbel

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2005

Maximum a Posteriori Local Histogram Estimation for Image Registration.

Matthew Toews, D. Louis Collins, Tal Arbel

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

2003

Entropy-of-likelihood Feature Selection for Image Correspondence.

Matthew Toews, Tal Arbel

Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003