Entropy-of-likelihood Feature Selection for Image Correspondence. - Matthew Toews; Tal Arbel (ICCV, 2003)

Maximum a Posteriori Local Histogram Estimation for Image Registration. - Matthew Toews; D. Louis Collins; Tal Arbel (MICCAI (2), 2005)

Fundamental Matrix Estimation via TIP - Transfer of Invariant Parameters. - Frank Riggi; Matthew Toews; Tal Arbel (ICPR (2), 2006)

Detection Over Viewpoint via the Object Class Invariant. - Matthew Toews; Tal Arbel (ICPR (1), 2006)

A Statistical Parts-Based Appearance Model of Inter-subject Variability. - Matthew Toews; D. Louis Collins; Tal Arbel (MICCAI (1), 2006)

Detecting, Localizing and Classifying Visual Traits from Arbitrary Viewpoints Using Probabilistic Local Feature Modeling. - Matthew Toews; Tal Arbel (AMFG, 2007)

Detecting and Localizing 3D Object Classes using Viewpoint Invariant Reference Frames. - Matthew Toews; Tal Arbel (ICCV, 2007)

A Statistical Parts-Based Model of Anatomical Variability. - Matthew Toews; Tal Arbel (IEEE Trans. Medical Imaging, 2007)

SIFT-Rank: Ordinal description for invariant feature correspondence. - Matthew Toews; William M. Wells III (CVPR, 2009)

Bayesian Registration via Local Image Regions: Information, Selection and Marginalization. - Matthew Toews; William M. Wells III (IPMI, 2009)

Automatically Learning Cortical Folding Patterns. - Matthew Toews; D. Louis Collins; Tal Arbel (ISBI, 2009)

Feature-Based Morphometry. - Matthew Toews; William M. Wells III; D. Louis Collins; Tal Arbel (MICCAI (1), 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)

Gender classification from unconstrained video sequences. - Meltem Demirkus; Matthew Toews; James J. Clark; Tal Arbel (CVPR Workshops, 2010)

A mutual-information scale-space for image feature detection and feature-based classification of volumetric brain images. - Matthew Toews; William M. Wells III (CVPR Workshops, 2010)

Exploring Cortical Folding Pattern Variability Using Local Image Features. - Rishi Rajalingham; Matthew Toews; D. Louis Collins; Tal Arbel (MCV, 2010)

Feature-based morphometry: Discovering group-related anatomical patterns. - Matthew Toews; William M. Wells III; D. Louis Collins; Tal Arbel (NeuroImage, 2010)

A Feature-Based Developmental Model of the Infant Brain in Structural MRI. - Matthew Toews; William M. Wells III; Lilla Zöllei (MICCAI (2), 2012)

Feature-Based Alignment of Volumetric Multi-modal Images. - Matthew Toews; Lilla Zöllei; William M. Wells III (IPMI, 2013)

Inter-slice Correspondence for 2D Ultrasound-Guided Procedures. - Matthew Toews; Alexandra J. Golby; William M. Wells III (CLIP, 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 (Image Processing, 2013)

Efficient and robust model-to-image alignment using 3D scale-invariant features. - Matthew Toews; William M. Wells III (Medical Image Anal., 2013)

Probabilistic Diffeomorphic Registration: Representing Uncertainty. - Demian Wassermann; Matthew Toews; Marc Niethammer; William M. Wells III (WBIR, 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)

A Feature-Based Approach to Big Data Analysis of Medical Images. - Matthew Toews; Christian Wachinger; Raúl San José Estépar; William M. Wells III (IPMI, 2015)

Keypoint Transfer Segmentation. - Christian Wachinger; Matthew Toews; Georg Langs; William M. Wells III; Polina Golland (IPMI, 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 (MICCAI (1), 2015)

Radiomic analysis of multi-contrast brain MRI for the prediction of survival in patients with glioblastoma multiforme. - Ahmad Chaddad; Christian Desrosiers; Matthew Toews (EMBC, 2016)

Multispectral texture analysis of histopathological abnormalities in colorectal tissues. - Ahmad Chaddad; Christian Desrosiers; Lama Hassan; Matthew Toews (ICIP, 2016)

Spatially constrained sparse regression for the data-driven discovery of Neuroimaging biomarkers. - Kuldeep Kumar; Christian Desrosiers; Ahmad Chaddad; Matthew Toews (ICPR, 2016)

Local discriminative characterization of MRI for Alzheimer's disease. - Ahmad Chaddad; Christian Desrosiers; Matthew Toews (ISBI, 2016)

How are siblings similar? How similar are siblings? Large-scale imaging genetics using local image features. - Matthew Toews; William M. Wells III (ISBI, 2016)

Phenotypic characterization of glioblastoma identified through shape descriptors. - Ahmad Chaddad; Christian Desrosiers; Matthew Toews (Computer-Aided Diagnosis, 2016)

GBM heterogeneity characterization by radiomic analysis of phenotype anatomical planes. - Ahmad Chaddad; Christian Desrosiers; Matthew Toews (Image Processing, 2016)

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)

Modeling Information Flow Through Deep Neural Networks. - Ahmad Chaddad; Behnaz Naisiri; Marco Pedersoli; Eric Granger; Christian Desrosiers; Matthew Toews (CoRR, 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)

Protein Shape Retrieval. - Florent Langenfeld; Apostolos Axenopoulos; Anargyros Chatzitofis; Daniela Craciun; Petros Daras; Bowen Du; Andrea Giachetti 001; Yu-Kun Lai; Haisheng Li 002; Yingbin Li; Majid Masoumi; Yuxu Peng; et al. (3DOR@Eurographics, 2018)

A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation. - Jie Luo 003; Matthew Toews; Inês Machado; Sarah F. Frisken; Miaomiao Zhang 002; Frank Preiswerk; Alireza Sedghi; Hongyi Ding; Steve Pieper 001; Polina Golland; Alexandra J. Golby; Masashi Sugiyama; et al. (MICCAI (4), 2018)

Deformable MRI-Ultrasound Registration via Attribute Matching and Mutual-Saliency Weighting for Image-Guided Neurosurgery. - Inês Machado; Matthew Toews; Jie Luo 003; Prashin Unadkat; Walid Essayed; Elizabeth George; Pedro Teodoro; Herculano Carvalho; Jorge Martins 001; Polina Golland; Steve Pieper 001; Sarah F. Frisken; et al. (POCUS/BIVPCS/CuRIOUS/CPM@MICCAI, 2018)

Using the variogram for vector outlier screening: application to feature-based image registration. - Jie Luo 003; Sarah F. Frisken; Inês Machado; Miaomiao Zhang 002; Steve Pieper 001; Polina Golland; Matthew Toews; Prashin Unadkat; Alireza Sedghi; Haoyin Zhou; Alireza Mehrtash; Frank Preiswerk; et al. (Int. J. Comput. Assist. Radiol. Surg., 2018)

Non-rigid registration of 3D ultrasound for neurosurgery using automatic feature detection and matching. - Inês Machado; Matthew Toews; Jie Luo 003; Prashin Unadkat; Walid Essayed; Elizabeth George; Pedro Teodoro; Herculano Carvalho; Jorge Martins 001; Polina Golland; Steve Pieper 001; Sarah F. Frisken; et al. (Int. J. Comput. Assist. Radiol. Surg., 2018)

On the Ambiguity of Registration Uncertainty. - Jie Luo 003; Sarah F. Frisken; Karteek Popuri; Dana Cobzas; Frank Preiswerk; Matthew Toews; Miaomiao Zhang 002; Hongyi Ding; Polina Golland; Alexandra J. Golby; Masashi Sugiyama; William M. Wells III (CoRR, 2018)

Multi-modal brain fingerprinting: A manifold approximation based framework. - Kuldeep Kumar; Matthew Toews; Laurent Chauvin; Olivier Colliot; Christian Desrosiers (NeuroImage, 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)

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 (IPMI, 2019)

On the Applicability of Registration Uncertainty. - Jie Luo 003; Alireza Sedghi; Karteek Popuri; Dana Cobzas; Miaomiao Zhang 002; Frank Preiswerk; Matthew Toews; Alexandra J. Golby; Masashi Sugiyama; William M. Wells III; Sarah F. Frisken (MICCAI (2), 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 (Image-Guided Procedures, 2019)

Deep Radiomic Analysis Based on Modeling Information Flow in Convolutional Neural Networks. - Ahmad Chaddad; Matthew Toews; Christian Desrosiers; Tamim Niazi (IEEE Access, 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 003; Pedro Teodoro; Herculano Carvalho; Jorge Martins 001; Polina Golland; Steve Pieper 001; Sarah F. Frisken; et al. (NeuroImage, 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)

Detecting Defects in Materials Using Deep Convolutional Neural Networks. - Quentin Boyadjian; Nicolas Vanderesse; Matthew Toews; Philippe Bocher (ICIAR (1), 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 (MLCN/RNO-AI@MICCAI, 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 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)

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)

Keypoint Transfer for Fast Whole-Body Segmentation. - Christian Wachinger; Matthew Toews; Georg Langs; William M. Wells III; Polina Golland (IEEE Trans. Medical Imaging, 2020)

Curating Subject ID Labels using Keypoint Signatures. - Laurent Chauvin; Matthew Toews (CoRR, 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 003; William M. Wells III; Inês Machado; Rola Harmouche; Matthew Toews (CoRR, 2021)

FL-MAB: client selection and monetization for blockchain-based federated learning. - Zahra Batool; Kaiwen Zhang 001; Matthew Toews (SAC, 2022)

Registering Image Volumes using 3D SIFT and Discrete SP-Symmetry. - Laurent Chauvin; William M. Wells III; Matthew Toews (CoRR, 2022)

U(1) Symmetry-breaking Observed in Generic CNN Bottleneck Layers. - Louis-François Bouchard; Mohsen Ben Lazreg; Matthew Toews (CoRR, 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)

Balanced Mixture of Supernets for Learning the CNN Pooling Architecture. - Mehraveh Javan Roshtkhari; Matthew Toews; Marco Pedersoli (AutoML, 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)

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)

Coloring Deep CNN Layers with Activation Hue Loss. - Louis-François Bouchard; Mohsen Ben Lazreg; Matthew Toews (CoRR, 2023)

NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfaces. - Pierluigi Zama Ramirez; Fabio Tosi; Luigi Di Stefano; Radu Timofte; Alex Costanzino; Matteo Poggi; Samuele Salti; Stefano Mattoccia; Zhe Zhang; Yang Yang 009; Wu Chen; Anlong Ming; et al. (CVPR Workshops, 2025)

Neural Architecture Search by Learning a Hierarchical Search Space. - Mehraveh Javan Roshtkhari; Matthew Toews; Marco Pedersoli (CoRR, 2025)