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Matthew Toews
Matthew F. Toews
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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
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
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
Neuroimage signature from salient keypoints is highly specific to individuals and shared by close relatives. NeuroImage 204 (2020) - [j14]Christian Wachinger
Keypoint Transfer for Fast Whole-Body Segmentation. IEEE Trans. Medical Imaging 39(2): 273-282 (2020) - [c37]Quentin Boyadjian
Detecting Defects in Materials Using Deep Convolutional Neural Networks. ICIAR (1) 2020: 293-306 - [c36]Étienne Pepin, Jean-Baptiste Carluer, Laurent Chauvin, Matthew Toews
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
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
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
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
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
On the Applicability of Registration Uncertainty. MICCAI (2) 2019: 410-419 - [c33]Sarah F. Frisken, Ma Luo, Inês Machado, Prashin Unadkat
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: 1095120 - 2018
- [j10]Inês Machado
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
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
Multi-modal brain fingerprinting: A manifold approximation based framework. NeuroImage 183: 212-226 (2018) - [j7]Matthew Toews
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
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
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
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
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
Radiomic analysis of multi-contrast brain MRI for the prediction of survival in patients with glioblastoma multiforme. EMBC 2016: 4035-4038 - [c28]Ahmad Chaddad
Multispectral texture analysis of histopathological abnormalities in colorectal tissues. ICIP 2016: 2628-2632 - [c27]Kuldeep Kumar
Spatially constrained sparse regression for the data-driven discovery of Neuroimaging biomarkers. ICPR 2016: 2162-2167 - [c26]Ahmad Chaddad
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
Phenotypic characterization of glioblastoma identified through shape descriptors. Medical Imaging: Computer-Aided Diagnosis 2016: 97852M - [c23]Ahmad Chaddad
GBM heterogeneity characterization by radiomic analysis of phenotype anatomical planes. Medical Imaging: Image Processing 2016: 978424 - 2015
- [c22]Christian Wachinger
Keypoint Transfer Segmentation. IPMI 2015: 233-245 - [c21]Matthew Toews, Christian Wachinger
A Feature-Based Approach to Big Data Analysis of Medical Images. IPMI 2015: 339-350 - [c20]Frank Preiswerk
Hybrid Utrasound and MRI Acquisitions for High-Speed Imaging of Respiratory Organ Motion. MICCAI (1) 2015: 315-322 - 2014
- [j5]Gurman Gill
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
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
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
Fiber feature map based landmark initialization for highly deformable DTI registration. Medical Imaging: 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
Feature-based morphometry: Discovering group-related anatomical patterns. NeuroImage 49(3): 2318-2327 (2010) - [c14]Meltem Demirkus, Matthew Toews, James J. Clark
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
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
Automatically Learning Cortical Folding Patterns. ISBI 2009: 1330-1333 - [c8]Matthew Toews, William M. Wells III, D. Louis Collins
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
A Statistical Parts-Based Appearance Model of Inter-subject Variability. MICCAI (1) 2006: 232-240 - 2005
- [c2]Matthew Toews, D. Louis Collins
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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last updated on 2024-10-07 22:14 CEST by the dblp team
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