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2020 – today
- 2023
[c39]Mehraveh Javan Roshtkhari, Matthew Toews, Marco Pedersoli:
Balanced Mixture of Supernets for Learning the CNN Pooling Architecture. AutoML 2023: 8/1-23- [i16]Javad Manashti, François Duhaime, Matthew F. Toews, Pouyan Pirnia, Jn Kinsonn Telcy:
Comparing PSDNet, pretrained networks, and traditional feature extraction for predicting the particle size distribution of granular materials from photographs. CoRR abs/2303.04265 (2023) - [i15]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 abs/2303.04269 (2023) - [i14]Mehraveh Javan, Matthew Toews, Marco Pedersoli:
Balanced Mixture of SuperNets for Learning the CNN Pooling Architecture. CoRR abs/2306.11982 (2023) - [i13]Louis-François Bouchard, Mohsen Ben Lazreg, Matthew Toews:
Coloring Deep CNN Layers with Activation Hue Loss. CoRR abs/2310.03911 (2023) - 2022
- [j17]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): 836-845 (2022) - [c38]Zahra Batool, Kaiwen Zhang, Matthew Toews:
FL-MAB: client selection and monetization for blockchain-based federated learning. SAC 2022: 299-307 - [i12]Laurent Chauvin, William M. Wells III, Matthew Toews:
Registering Image Volumes using 3D SIFT and Discrete SP-Symmetry. CoRR abs/2205.15456 (2022) - [i11]Louis-François Bouchard, Mohsen Ben Lazreg, Matthew Toews:
U(1) Symmetry-breaking Observed in Generic CNN Bottleneck Layers. CoRR abs/2206.02220 (2022) - 2021
- [i10]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 abs/2103.06966 (2021) - [i9]Laurent Chauvin, Matthew Toews:
Curating Subject ID Labels using Keypoint Signatures. CoRR abs/2110.04055 (2021) - [i8]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 abs/2112.10258 (2021) - 2020
- [j16]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): 75-85 (2020) - [j15]Laurent Chauvin, Kuldeep Kumar, Christian Wachinger, Mark G. Vangel, Jacques A. de Guise, Christian Desrosiers, William M. Wells III, Matthew Toews:
Neuroimage signature from salient keypoints is highly specific to individuals and shared by close relatives. NeuroImage 204 (2020) - [j14]Christian Wachinger, Matthew Toews, Georg Langs, William M. Wells III, Polina Golland:
Keypoint Transfer for Fast Whole-Body Segmentation. IEEE Trans. Medical Imaging 39(2): 273-282 (2020) - [c37]Quentin Boyadjian, Nicolas Vanderesse, Matthew Toews, Philippe Bocher:
Detecting Defects in Materials Using Deep Convolutional Neural Networks. ICIAR (1) 2020: 293-306 - [c36]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: 108-118 - [i7]Laurent Chauvin, Mohsen Ben Lazreg, Jean-Baptiste Carluer, William M. Wells III, Matthew Toews:
Large Scale Indexing of Generic Medical Image Data using Unbiased Shallow Keypoints and Deep CNN Features. CoRR abs/2010.04283 (2020)
2010 – 2019
- 2019
- [j13]Ahmad Chaddad, Matthew Toews, Christian Desrosiers, Tamim Niazi:
Deep Radiomic Analysis Based on Modeling Information Flow in Convolutional Neural Networks. IEEE Access 7: 97242-97252 (2019) - [j12]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) - [j11]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): 795-804 (2019) - [c35]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: 45-56 - [c34]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: 410-419 - [c33]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. Image-Guided Procedures 2019: 1095120 - 2018
- [j10]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:
Non-rigid registration of 3D ultrasound for neurosurgery using automatic feature detection and matching. Int. J. Comput. Assist. Radiol. Surg. 13(10): 1525-1538 (2018) - [j9]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): 1871-1880 (2018) - [j8]Kuldeep Kumar, Matthew Toews, Laurent Chauvin, Olivier Colliot, Christian Desrosiers:
Multi-modal brain fingerprinting: A manifold approximation based framework. NeuroImage 183: 212-226 (2018) - [j7]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): 262-272 (2018) - [c32]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: 53-61 - [c31]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: 30-38 - [c30]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: 165-171 - [i6]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 abs/1803.05266 (2018) - [i5]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 abs/1803.07682 (2018) - [i4]Christian Wachinger, Matthew Toews, Georg Langs, William M. Wells III, Polina Golland:
Keypoint Transfer for Fast Whole-Body Segmentation. CoRR abs/1806.08723 (2018) - 2017
- [j6]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: 242-259 (2017) - [i3]Demian Wassermann, Matthew Toews, Marc Niethammer, William M. Wells III:
Probabilistic Diffeomorphic Registration: Representing Uncertainty. CoRR abs/1701.03266 (2017) - [i2]Kuldeep Kumar, Laurent Chauvin, Matthew Toews, Olivier Colliot, Christian Desrosiers:
Multi-modal analysis of genetically-related subjects using SIFT descriptors in brain MRI. CoRR abs/1709.06151 (2017) - [i1]Ahmad Chaddad, Behnaz Naisiri, Marco Pedersoli, Eric Granger, Christian Desrosiers, Matthew Toews:
Modeling Information Flow Through Deep Neural Networks. CoRR abs/1712.00003 (2017) - 2016
- [c29]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: 4035-4038 - [c28]Ahmad Chaddad, Christian Desrosiers, Lama Hassan, Matthew Toews:
Multispectral texture analysis of histopathological abnormalities in colorectal tissues. ICIP 2016: 2628-2632 - [c27]Kuldeep Kumar, Christian Desrosiers, Ahmad Chaddad, Matthew Toews:
Spatially constrained sparse regression for the data-driven discovery of Neuroimaging biomarkers. ICPR 2016: 2162-2167 - [c26]Ahmad Chaddad, Christian Desrosiers, Matthew Toews:
Local discriminative characterization of MRI for Alzheimer's disease. ISBI 2016: 1-5 - [c25]Matthew Toews, William M. Wells III:
How are siblings similar? How similar are siblings? Large-scale imaging genetics using local image features. ISBI 2016: 847-850 - [c24]Ahmad Chaddad, Christian Desrosiers, Matthew Toews:
Phenotypic characterization of glioblastoma identified through shape descriptors. Computer-Aided Diagnosis 2016: 97852M - [c23]Ahmad Chaddad, Christian Desrosiers, Matthew Toews:
GBM heterogeneity characterization by radiomic analysis of phenotype anatomical planes. Image Processing 2016: 978424 - 2015
- [c22]Christian Wachinger, Matthew Toews, Georg Langs, William M. Wells III, Polina Golland:
Keypoint Transfer Segmentation. IPMI 2015: 233-245 - [c21]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: 339-350 - [c20]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: 315-322 - 2014
- [j5]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: 479154:1-479154:7 (2014) - [c19]Demian Wassermann, Matthew Toews, Marc Niethammer, William M. Wells III:
Probabilistic Diffeomorphic Registration: Representing Uncertainty. WBIR 2014: 72-82 - 2013
- [j4]Matthew Toews, William M. Wells III:
Efficient and robust model-to-image alignment using 3D scale-invariant features. Medical Image Anal. 17(3): 271-282 (2013) - [c18]Matthew Toews, Lilla Zöllei, William M. Wells III:
Feature-Based Alignment of Volumetric Multi-modal Images. IPMI 2013: 25-36 - [c17]Matthew Toews, Alexandra J. Golby, William M. Wells III:
Inter-slice Correspondence for 2D Ultrasound-Guided Procedures. CLIP 2013: 143-150 - [c16]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. Image Processing 2013: 866907 - 2012
- [c15]Matthew Toews, William M. Wells III, Lilla Zöllei:
A Feature-Based Developmental Model of the Infant Brain in Structural MRI. MICCAI (2) 2012: 204-211 - 2010
- [j3]Matthew Toews, William M. Wells III, D. Louis Collins, Tal Arbel:
Feature-based morphometry: Discovering group-related anatomical patterns. NeuroImage 49(3): 2318-2327 (2010) - [c14]Meltem Demirkus, Matthew Toews, James J. Clark, Tal Arbel:
Gender classification from unconstrained video sequences. CVPR Workshops 2010: 55-62 - [c13]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: 111-116 - [c12]Rishi Rajalingham, Matthew Toews, D. Louis Collins, Tal Arbel:
Exploring Cortical Folding Pattern Variability Using Local Image Features. MCV 2010: 43-53
2000 – 2009
- 2009
- [j2]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): 1567-1581 (2009) - [c11]Matthew Toews, William M. Wells III:
SIFT-Rank: Ordinal description for invariant feature correspondence. CVPR 2009: 172-177 - [c10]Matthew Toews, William M. Wells III:
Bayesian Registration via Local Image Regions: Information, Selection and Marginalization. IPMI 2009: 435-446 - [c9]Matthew Toews, D. Louis Collins, Tal Arbel:
Automatically Learning Cortical Folding Patterns. ISBI 2009: 1330-1333 - [c8]Matthew Toews, William M. Wells III, D. Louis Collins, Tal Arbel:
Feature-Based Morphometry. MICCAI (1) 2009: 109-116 - 2007
- [j1]Matthew Toews, Tal Arbel:
A Statistical Parts-Based Model of Anatomical Variability. IEEE Trans. Medical Imaging 26(4): 497-508 (2007) - [c7]Matthew Toews, Tal Arbel:
Detecting, Localizing and Classifying Visual Traits from Arbitrary Viewpoints Using Probabilistic Local Feature Modeling. AMFG 2007: 154-167 - [c6]Matthew Toews, Tal Arbel:
Detecting and Localizing 3D Object Classes using Viewpoint Invariant Reference Frames. ICCV 2007: 1-8 - 2006
- [c5]Frank Riggi, Matthew Toews, Tal Arbel:
Fundamental Matrix Estimation via TIP - Transfer of Invariant Parameters. ICPR (2) 2006: 21-24 - [c4]Matthew Toews, Tal Arbel:
Detection Over Viewpoint via the Object Class Invariant. ICPR (1) 2006: 765-768 - [c3]Matthew Toews, D. Louis Collins, Tal Arbel:
A Statistical Parts-Based Appearance Model of Inter-subject Variability. MICCAI (1) 2006: 232-240 - 2005
- [c2]Matthew Toews, D. Louis Collins, Tal Arbel:
Maximum a Posteriori Local Histogram Estimation for Image Registration. MICCAI (2) 2005: 163-170 - 2003
- [c1]Matthew Toews, Tal Arbel:
Entropy-of-likelihood Feature Selection for Image Correspondence. ICCV 2003: 1041-1047
Coauthor Index
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