Matthew Toews

Orcid: 0000-0002-7567-4283

According to our database1, Matthew Toews authored at least 67 papers between 2003 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Coloring Deep CNN Layers with Activation Hue Loss.
CoRR, 2023

PSDNet: Determination of Particle Size Distributions Using Synthetic Soil Images and Convolutional Neural Networks.
CoRR, 2023

Comparing PSDNet, pretrained networks, and traditional feature extraction for predicting the particle size distribution of granular materials from photographs.
CoRR, 2023

Balanced Mixture of Supernets for Learning the CNN Pooling Architecture.
Proceedings of the International Conference on Automated Machine Learning, 2023

2022
Efficient Pairwise Neuroimage Analysis Using the Soft Jaccard Index and 3D Keypoint Sets.
IEEE Trans. Medical Imaging, 2022

U(1) Symmetry-breaking Observed in Generic CNN Bottleneck Layers.
CoRR, 2022

Registering Image Volumes using 3D SIFT and Discrete SP-Symmetry.
CoRR, 2022

FL-MAB: client selection and monetization for blockchain-based federated learning.
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.
CoRR, 2021

Curating Subject ID Labels using Keypoint Signatures.
CoRR, 2021

2020
Keypoint Transfer for Fast Whole-Body Segmentation.
IEEE Trans. Medical Imaging, 2020

Neuroimage signature from salient keypoints is highly specific to individuals and shared by close relatives.
NeuroImage, 2020

Large Scale Indexing of Generic Medical Image Data using Unbiased Shallow Keypoints and Deep CNN Features.
CoRR, 2020

A comparison of thin-plate spline deformation and finite element modeling to compensate for brain shift during tumor resection.
Int. J. Comput. Assist. Radiol. Surg., 2020

Large-Scale Unbiased Neuroimage Indexing via 3D GPU-SIFT Filtering and Keypoint Masking.
Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

Detecting Defects in Materials Using Deep Convolutional Neural Networks.
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.
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.
NeuroImage, 2019

Deep Radiomic Analysis Based on Modeling Information Flow in Convolutional Neural Networks.
IEEE Access, 2019

Preliminary results comparing thin-plate splines with finite element methods for modeling brain deformation during neurosurgery using intraoperative ultrasound.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019

On the Applicability of Registration Uncertainty.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Analyzing Brain Morphology on the Bag-of-Features Manifold.
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.
IEEE Trans. Medical Imaging, 2018

Multi-modal brain fingerprinting: A manifold approximation based framework.
NeuroImage, 2018

On the Ambiguity of Registration Uncertainty.
CoRR, 2018

Non-rigid registration of 3D ultrasound for neurosurgery using automatic feature detection and matching.
Int. J. Comput. Assist. Radiol. Surg., 2018

Using the variogram for vector outlier screening: application to feature-based image registration.
Int. J. Comput. Assist. Radiol. Surg., 2018

Deformable MRI-Ultrasound Registration via Attribute Matching and Mutual-Saliency Weighting for Image-Guided Neurosurgery.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018


2017
Fiberprint: A subject fingerprint based on sparse code pooling for white matter fiber analysis.
NeuroImage, 2017

Modeling Information Flow Through Deep Neural Networks.
CoRR, 2017

Multi-modal analysis of genetically-related subjects using SIFT descriptors in brain MRI.
CoRR, 2017

2016
GBM heterogeneity characterization by radiomic analysis of phenotype anatomical planes.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Phenotypic characterization of glioblastoma identified through shape descriptors.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

How are siblings similar? How similar are siblings? Large-scale imaging genetics using local image features.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Local discriminative characterization of MRI for Alzheimer's disease.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Spatially constrained sparse regression for the data-driven discovery of Neuroimaging biomarkers.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Multispectral texture analysis of histopathological abnormalities in colorectal tissues.
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.
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.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Keypoint Transfer Segmentation.
Proceedings of the Information Processing in Medical Imaging, 2015

A Feature-Based Approach to Big Data Analysis of Medical Images.
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.
Int. J. Biomed. Imaging, 2014

Probabilistic Diffeomorphic Registration: Representing Uncertainty.
Proceedings of the Biomedical Image Registration - 6th International Workshop, 2014

2013
Efficient and robust model-to-image alignment using 3D scale-invariant features.
Medical Image Anal., 2013

Fiber feature map based landmark initialization for highly deformable DTI registration.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

Inter-slice Correspondence for 2D Ultrasound-Guided Procedures.
Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2013

Feature-Based Alignment of Volumetric Multi-modal Images.
Proceedings of the Information Processing in Medical Imaging, 2013

2012
A Feature-Based Developmental Model of the Infant Brain in Structural MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

2010
Feature-based morphometry: Discovering group-related anatomical patterns.
NeuroImage, 2010

Exploring Cortical Folding Pattern Variability Using Local Image Features.
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.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

Gender classification from unconstrained video sequences.
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.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Feature-Based Morphometry.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Automatically Learning Cortical Folding Patterns.
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.
Proceedings of the Information Processing in Medical Imaging, 2009

SIFT-Rank: Ordinal description for invariant feature correspondence.
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.
IEEE Trans. Medical Imaging, 2007

Detecting and Localizing 3D Object Classes using Viewpoint Invariant Reference Frames.
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.
Proceedings of the Analysis and Modeling of Faces and Gestures, 2007

2006
A Statistical Parts-Based Appearance Model of Inter-subject Variability.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

Detection Over Viewpoint via the Object Class Invariant.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Fundamental Matrix Estimation via TIP - Transfer of Invariant Parameters.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2005
Maximum a Posteriori Local Histogram Estimation for Image Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

2003
Entropy-of-likelihood Feature Selection for Image Correspondence.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003


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