Matthew Toews

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 44

Top Topics

Convolutional Neural Networks

Top Venues

Int. J. Comput. Assist. Radiol. Surg.

Publications

Javad Manashti, Pouyan Pirnia, Alireza Manashty, Sahar Ujan, Matthew Toews, François Duhaime
PSDNet: Determination of Particle Size Distributions Using Synthetic Soil Images and Convolutional Neural Networks. CoRR (2023)
Mehraveh Javan, Matthew Toews, Marco Pedersoli
Balanced Mixture of SuperNets for Learning the CNN Pooling Architecture. CoRR (2023)
Louis-François Bouchard, Mohsen Ben Lazreg, Matthew Toews
Coloring Deep CNN Layers with Activation Hue Loss. CoRR (2023)
Mehraveh Javan Roshtkhari, Matthew Toews, Marco Pedersoli
Balanced Mixture of Supernets for Learning the CNN Pooling Architecture. AutoML (2023)
Zahra Batool, Kaiwen Zhang, Matthew Toews
FL-MAB: client selection and monetization for blockchain-based federated learning. SAC (2022)
Laurent Chauvin, William M. Wells III, Matthew Toews
Registering Image Volumes using 3D SIFT and Discrete SP-Symmetry. CoRR (2022)
Laurent Chauvin, Kuldeep Kumar, Christian Desrosiers, William M. Wells III, Matthew Toews
Efficient Pairwise Neuroimage Analysis Using the Soft Jaccard Index and 3D Keypoint Sets. IEEE Trans. Medical Imaging 41 (4) (2022)
Louis-François Bouchard, Mohsen Ben Lazreg, Matthew Toews
U(1) Symmetry-breaking Observed in Generic CNN Bottleneck Layers. CoRR (2022)
Laurent Chauvin, Matthew Toews
Curating Subject ID Labels using Keypoint Signatures. CoRR (2021)
Laurent Chauvin, Kuldeep Kumar, Christian Desrosiers, William M. Wells III, Matthew Toews
Efficient Pairwise Neuroimage Analysis using the Soft Jaccard Index and 3D Keypoint Sets. CoRR (2021)
Jean-Baptiste Carluer, Laurent Chauvin, Jie Luo, William M. Wells III, Inês Machado, Rola Harmouche, Matthew Toews
GPU optimization of the 3D Scale-invariant Feature Transform Algorithm and a Novel BRIEF-inspired 3D Fast Descriptor. CoRR (2021)
Quentin Boyadjian, Nicolas Vanderesse, Matthew Toews, Philippe Bocher
Detecting Defects in Materials Using Deep Convolutional Neural Networks. ICIAR (1) (2020)
Étienne Pepin, Jean-Baptiste Carluer, Laurent Chauvin, Matthew Toews, Rola Harmouche
Large-Scale Unbiased Neuroimage Indexing via 3D GPU-SIFT Filtering and Keypoint Masking. MLCN/RNO-AI@MICCAI (2020)
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
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. 15 (1) (2020)
Laurent Chauvin, Mohsen Ben Lazreg, Jean-Baptiste Carluer, William Wells, Matthew Toews
Large Scale Indexing of Generic Medical Image Data using Unbiased Shallow Keypoints and Deep CNN Features. CoRR (2020)
Christian Wachinger, Matthew Toews, Georg Langs, William Wells, Polina Golland
Keypoint Transfer for Fast Whole-Body Segmentation. IEEE Trans. Medical Imaging 39 (2) (2020)
Laurent Chauvin, Kuldeep Kumar, Christian Wachinger, Mark G. Vangel, Jacques A. de Guise, Christian Desrosiers, William Wells, Matthew Toews
Neuroimage signature from salient keypoints is highly specific to individuals and shared by close relatives. NeuroImage 204 (2020)
Laurent Chauvin, Kuldeep Kumar, Christian Desrosiers, Jacques A. de Guise, William M. Wells III, Matthew Toews
Analyzing Brain Morphology on the Bag-of-Features Manifold. IPMI (2019)
Ahmad Chaddad, Matthew Toews, Christian Desrosiers, Tamim Niazi
Deep Radiomic Analysis Based on Modeling Information Flow in Convolutional Neural Networks. IEEE Access 7 (2019)
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
Preliminary results comparing thin-plate splines with finite element methods for modeling brain deformation during neurosurgery using intraoperative ultrasound. Medical Imaging: Image-Guided Procedures (2019)
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
On the Applicability of Registration Uncertainty. MICCAI (2) (2019)
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
Deformable MRI-Ultrasound registration using correlation-based attribute matching for brain shift correction: Accuracy and generality in multi-site data. NeuroImage 202 (2019)
Ahmad Chaddad, Paul Daniel, Christian Desrosiers, Matthew Toews, Bassam Abdulkarim
Novel Radiomic Features Based on Joint Intensity Matrices for Predicting Glioblastoma Patient Survival Time. IEEE J. Biomed. Health Informatics 23 (2) (2019)
Matthew Toews, William M. Wells III
Phantomless Auto-Calibration and Online Calibration Assessment for a Tracked Freehand 2-D Ultrasound Probe. IEEE Trans. Medical Imaging 37 (1) (2018)
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
Using the variogram for vector outlier screening: application to feature-based image registration. Int. J. Comput. Assist. Radiol. Surg. 13 (12) (2018)
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
On the Ambiguity of Registration Uncertainty. CoRR (2018)
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 Wells
Non-rigid registration of 3D ultrasound for neurosurgery using automatic feature detection and matching. Int. J. Comput. Assist. Radiol. Surg. 13 (10) (2018)
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
Deformable MRI-Ultrasound Registration via Attribute Matching and Mutual-Saliency Weighting for Image-Guided Neurosurgery. POCUS/BIVPCS/CuRIOUS/CPM@MICCAI (2018)
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
A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation. MICCAI (4) (2018)
Kuldeep Kumar, Matthew Toews, Laurent Chauvin, Olivier Colliot, Christian Desrosiers
Multi-modal brain fingerprinting: A manifold approximation based framework. NeuroImage 183 (2018)
Christian Wachinger, Matthew Toews, Georg Langs, William Wells, Polina Golland
Keypoint Transfer for Fast Whole-Body Segmentation. CoRR (2018)
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
Protein Shape Retrieval. 3DOR@Eurographics (2018)
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
A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation. CoRR (2018)
Demian Wassermann, Matthew Toews, Marc Niethammer, William M. Wells III
Probabilistic Diffeomorphic Registration: Representing Uncertainty. CoRR (2017)
Kuldeep Kumar, Christian Desrosiers, Kaleem Siddiqi, Olivier Colliot, Matthew Toews
Fiberprint: A subject fingerprint based on sparse code pooling for white matter fiber analysis. NeuroImage 158 (2017)
Ahmad Chaddad, Behnaz Naisiri, Marco Pedersoli, Eric Granger, Christian Desrosiers, Matthew Toews
Modeling Information Flow Through Deep Neural Networks. CoRR (2017)
Kuldeep Kumar, Laurent Chauvin, Matthew Toews, Olivier Colliot, Christian Desrosiers
Multi-modal analysis of genetically-related subjects using SIFT descriptors in brain MRI. CoRR (2017)
Ahmad Chaddad, Christian Desrosiers, Matthew Toews
GBM heterogeneity characterization by radiomic analysis of phenotype anatomical planes. Medical Imaging: Image Processing (2016)
Ahmad Chaddad, Christian Desrosiers, Lama Hassan, Matthew Toews
Multispectral texture analysis of histopathological abnormalities in colorectal tissues. ICIP (2016)
Ahmad Chaddad, Christian Desrosiers, Matthew Toews
Phenotypic characterization of glioblastoma identified through shape descriptors. Medical Imaging: Computer-Aided Diagnosis (2016)
Ahmad Chaddad, Christian Desrosiers, Matthew Toews
Local discriminative characterization of MRI for Alzheimer's disease. ISBI (2016)
Ahmad Chaddad, Christian Desrosiers, Matthew Toews
Radiomic analysis of multi-contrast brain MRI for the prediction of survival in patients with glioblastoma multiforme. EMBC (2016)
Kuldeep Kumar, Christian Desrosiers, Ahmad Chaddad, Matthew Toews
Spatially constrained sparse regression for the data-driven discovery of Neuroimaging biomarkers. ICPR (2016)
Matthew Toews, William M. Wells III
How are siblings similar? How similar are siblings? Large-scale imaging genetics using local image features. ISBI (2016)
Frank Preiswerk, Matthew Toews, William Scott Hoge, Jr-yuan George Chiou, Lawrence P. Panych, William M. Wells III, Bruno Madore
Hybrid Utrasound and MRI Acquisitions for High-Speed Imaging of Respiratory Organ Motion. MICCAI (1) (2015)
Christian Wachinger, Matthew Toews, Georg Langs, William M. Wells III, Polina Golland
Keypoint Transfer Segmentation. IPMI (2015)
Matthew Toews, Christian Wachinger, Raúl San José Estépar, William M. Wells III
A Feature-Based Approach to Big Data Analysis of Medical Images. IPMI (2015)
Demian Wassermann, Matthew Toews, Marc Niethammer, William M. Wells III
Probabilistic Diffeomorphic Registration: Representing Uncertainty. WBIR (2014)
Gurman Gill, Matthew Toews, Reinhard R. Beichel
Robust Initialization of Active Shape Models for Lung Segmentation in CT Scans: A Feature-Based Atlas Approach. Int. J. Biomed. Imaging 2014 (2014)
Matthew Toews, Lilla Zöllei, William M. Wells III
Feature-Based Alignment of Volumetric Multi-modal Images. IPMI (2013)
Matthew Toews, William M. Wells III
Efficient and robust model-to-image alignment using 3D scale-invariant features. Medical Image Anal. 17 (3) (2013)
Matthew Toews, Alexandra J. Golby, William M. Wells III
Inter-slice Correspondence for 2D Ultrasound-Guided Procedures. CLIP (2013)
Aditya Gupta, Matthew Toews, Ravikiran Janardhana, Yogesh Rathi, John H. Gilmore, Maria L. Escolar, Martin Styner
Fiber feature map based landmark initialization for highly deformable DTI registration. Medical Imaging: Image Processing (2013)
Matthew Toews, William M. Wells III, Lilla Zöllei
A Feature-Based Developmental Model of the Infant Brain in Structural MRI. MICCAI (2) (2012)
Matthew Toews, William M. Wells III
A mutual-information scale-space for image feature detection and feature-based classification of volumetric brain images. CVPR Workshops (2010)
Matthew Toews, William M. Wells III, D. Louis Collins, Tal Arbel
Feature-based morphometry: Discovering group-related anatomical patterns. NeuroImage 49 (3) (2010)
Meltem Demirkus, Matthew Toews, James J. Clark, Tal Arbel
Gender classification from unconstrained video sequences. CVPR Workshops (2010)
Rishi Rajalingham, Matthew Toews, D. Louis Collins, Tal Arbel
Exploring Cortical Folding Pattern Variability Using Local Image Features. MCV (2010)
Matthew Toews, Tal Arbel
Detection, Localization, and Sex Classification of Faces from Arbitrary Viewpoints and under Occlusion. IEEE Trans. Pattern Anal. Mach. Intell. 31 (9) (2009)
Matthew Toews, D. Louis Collins, Tal Arbel
Automatically Learning Cortical Folding Patterns. ISBI (2009)
Matthew Toews, William M. Wells III
SIFT-Rank: Ordinal description for invariant feature correspondence. CVPR (2009)
Matthew Toews, William M. Wells III, D. Louis Collins, Tal Arbel
Feature-Based Morphometry. MICCAI (1) (2009)
Matthew Toews, William M. Wells III
Bayesian Registration via Local Image Regions: Information, Selection and Marginalization. IPMI (2009)
Matthew Toews, Tal Arbel
Detecting, Localizing and Classifying Visual Traits from Arbitrary Viewpoints Using Probabilistic Local Feature Modeling. AMFG (2007)
Matthew Toews, Tal Arbel
A Statistical Parts-Based Model of Anatomical Variability. IEEE Trans. Medical Imaging 26 (4) (2007)
Matthew Toews, Tal Arbel
Detecting and Localizing 3D Object Classes using Viewpoint Invariant Reference Frames. ICCV (2007)
Matthew Toews, D. Louis Collins, Tal Arbel
A Statistical Parts-Based Appearance Model of Inter-subject Variability. MICCAI (1) (2006)
Frank Riggi, Matthew Toews, Tal Arbel
Fundamental Matrix Estimation via TIP - Transfer of Invariant Parameters. ICPR (2) (2006)
Matthew Toews, Tal Arbel
Detection Over Viewpoint via the Object Class Invariant. ICPR (1) (2006)
Matthew Toews, D. Louis Collins, Tal Arbel
Maximum a Posteriori Local Histogram Estimation for Image Registration. MICCAI (2) (2005)
Matthew Toews, Tal Arbel
Entropy-of-likelihood Feature Selection for Image Correspondence. ICCV (2003)