Matthew Toews - RankMe

76 papers A* 3B 4Misc 1Journal 35Unranked 33

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Iterative Monte Carlo Tree Search for Neural Architecture Search. AutoML Mehraveh Javan Roshtkhari, Matthew Toews, Marco Pedersoli
2025	—	`conf`	NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfaces. CVPR Workshops Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano, Radu Timofte, Alex Costanzino, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Zhe Zhang, Yang Yang, Wu Chen, Anlong Ming, Mingshuai Zhao, Mengying Yu, Shida Gao, Xiangfeng Wang, Feng Xue, Jun Shi, Yong Yang, Yong A, Yixiang Jin, Dingzhe Li, Aryan Shukla, Liam Frija-Altarac, Matthew Toews, Hui Geng, Tianjiao Wan, Zijian Gao, Qisheng Xu, Kele Xu, Zijian Zang, Jameer Babu Pinjari, Kuldeep Purohit, Mykola Lavreniuk, Jing Cao, Shenyi Li, Kui Jiang, Junjun Jiang, Yong Huang
2025	J	`jnl`	NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfaces. CoRR Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano, Radu Timofte, Alex Costanzino, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Zhe Zhang, Yang Yang, Wu Chen, Anlong Ming, Mingshuai Zhao, Mengying Yu, Shida Gao, Xiangfeng Wang, Feng Xue, Jun Shi, Yong Yang, Yong A, Yixiang Jin, Dingzhe Li, Aryan Shukla, Liam Frija-Altarac, Matthew Toews, Hui Geng, Tianjiao Wan, Zijian Gao, Qisheng Xu, Kele Xu, Zijian Zang, Jameer Babu Pinjari, Kuldeep Purohit, Mykola Lavreniuk, Jing Cao, Shenyi Li, Kui Jiang, Junjun Jiang, Yong Huang
2025	J	`jnl`	Neural Architecture Search by Learning a Hierarchical Search Space. CoRR Mehraveh Javan Roshtkhari, Matthew Toews, Marco Pedersoli
2025	J	`jnl`	The Mechanics of CNN Filtering with Rectification. CoRR Liam Frija-Altarac, Matthew Toews
2023	J	`jnl`	Balanced Mixture of SuperNets for Learning the CNN Pooling Architecture. CoRR Mehraveh Javan, Matthew Toews, Marco Pedersoli
2023	—	`conf`	Balanced Mixture of Supernets for Learning the CNN Pooling Architecture. AutoML Mehraveh Javan Roshtkhari, Matthew Toews, Marco Pedersoli
2023	J	`jnl`	Coloring Deep CNN Layers with Activation Hue Loss. CoRR Louis-François Bouchard, Mohsen Ben Lazreg, Matthew Toews
2023	J	`jnl`	PSDNet: Determination of Particle Size Distributions Using Synthetic Soil Images and Convolutional Neural Networks. CoRR Javad Manashti, Pouyan Pirnia, Alireza Manashty, Sahar Ujan, Matthew Toews, François Duhaime
2022	J	`jnl`	Efficient Pairwise Neuroimage Analysis Using the Soft Jaccard Index and 3D Keypoint Sets. IEEE Trans. Medical Imaging Laurent Chauvin, Kuldeep Kumar, Christian Desrosiers, William M. Wells III, Matthew Toews
2022	Misc	`conf`	FL-MAB: client selection and monetization for blockchain-based federated learning. SAC Zahra Batool, Kaiwen Zhang, Matthew Toews
2022	J	`jnl`	Registering Image Volumes using 3D SIFT and Discrete SP-Symmetry. CoRR Laurent Chauvin, William M. Wells III, Matthew Toews
2022	J	`jnl`	U(1) Symmetry-breaking Observed in Generic CNN Bottleneck Layers. CoRR Louis-François Bouchard, Mohsen Ben Lazreg, Matthew Toews
2021	J	`jnl`	Curating Subject ID Labels using Keypoint Signatures. CoRR Laurent Chauvin, Matthew Toews
2021	J	`jnl`	Efficient Pairwise Neuroimage Analysis using the Soft Jaccard Index and 3D Keypoint Sets. CoRR Laurent Chauvin, Kuldeep Kumar, Christian Desrosiers, William M. Wells III, Matthew Toews
2021	J	`jnl`	GPU optimization of the 3D Scale-invariant Feature Transform Algorithm and a Novel BRIEF-inspired 3D Fast Descriptor. CoRR Jean-Baptiste Carluer, Laurent Chauvin, Jie Luo, William M. Wells III, Inês Machado, Rola Harmouche, Matthew Toews
2020	J	`jnl`	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. 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
2020	—	`conf`	Detecting Defects in Materials Using Deep Convolutional Neural Networks. ICIAR (1) Quentin Boyadjian, Nicolas Vanderesse, Matthew Toews, Philippe Bocher
2020	J	`jnl`	Keypoint Transfer for Fast Whole-Body Segmentation. IEEE Trans. Medical Imaging Christian Wachinger, Matthew Toews, Georg Langs, William M. Wells III, Polina Golland
2020	J	`jnl`	Large Scale Indexing of Generic Medical Image Data using Unbiased Shallow Keypoints and Deep CNN Features. CoRR Laurent Chauvin, Mohsen Ben Lazreg, Jean-Baptiste Carluer, William M. Wells III, Matthew Toews
2020	—	`conf`	Large-Scale Unbiased Neuroimage Indexing via 3D GPU-SIFT Filtering and Keypoint Masking. MLCN/RNO-AI@MICCAI Étienne Pepin, Jean-Baptiste Carluer, Laurent Chauvin, Matthew Toews, Rola Harmouche
2020	J	`jnl`	Neuroimage signature from salient keypoints is highly specific to individuals and shared by close relatives. NeuroImage Laurent Chauvin, Kuldeep Kumar, Christian Wachinger, Mark G. Vangel, Jacques A. de Guise, Christian Desrosiers, William M. Wells III, Matthew Toews
2019	—	`conf`	Analyzing Brain Morphology on the Bag-of-Features Manifold. IPMI Laurent Chauvin, Kuldeep Kumar, Christian Desrosiers, Jacques A. de Guise, William M. Wells III, Matthew Toews
2019	J	`jnl`	Deep Radiomic Analysis Based on Modeling Information Flow in Convolutional Neural Networks. IEEE Access Ahmad Chaddad, Matthew Toews, Christian Desrosiers, Tamim Niazi
2019	J	`jnl`	Deformable MRI-Ultrasound registration using correlation-based attribute matching for brain shift correction: Accuracy and generality in multi-site data. NeuroImage 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
2019	J	`jnl`	Novel Radiomic Features Based on Joint Intensity Matrices for Predicting Glioblastoma Patient Survival Time. IEEE J. Biomed. Health Informatics Ahmad Chaddad, Paul Daniel, Christian Desrosiers, Matthew Toews, Bassam Abdulkarim
2019	—	`conf`	On the Applicability of Registration Uncertainty. MICCAI (2) 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
2019	—	`conf`	Preliminary results comparing thin-plate splines with finite element methods for modeling brain deformation during neurosurgery using intraoperative ultrasound. Image-Guided Procedures 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
2018	—	`conf`	A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation. MICCAI (4) 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
2018	J	`jnl`	A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation. CoRR 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
2018	—	`conf`	Deformable MRI-Ultrasound Registration via Attribute Matching and Mutual-Saliency Weighting for Image-Guided Neurosurgery. POCUS/BIVPCS/CuRIOUS/CPM@MICCAI 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
2018	J	`jnl`	Keypoint Transfer for Fast Whole-Body Segmentation. CoRR Christian Wachinger, Matthew Toews, Georg Langs, William M. Wells III, Polina Golland
2018	J	`jnl`	Multi-modal brain fingerprinting: A manifold approximation based framework. NeuroImage Kuldeep Kumar, Matthew Toews, Laurent Chauvin, Olivier Colliot, Christian Desrosiers
2018	J	`jnl`	Non-rigid registration of 3D ultrasound for neurosurgery using automatic feature detection and matching. Int. J. Comput. Assist. Radiol. Surg. 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
2018	J	`jnl`	On the Ambiguity of Registration Uncertainty. CoRR 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
2018	J	`jnl`	Phantomless Auto-Calibration and Online Calibration Assessment for a Tracked Freehand 2-D Ultrasound Probe. IEEE Trans. Medical Imaging Matthew Toews, William M. Wells III
2018	—	`conf`	Protein Shape Retrieval. 3DOR@Eurographics 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
2018	J	`jnl`	Using the variogram for vector outlier screening: application to feature-based image registration. Int. J. Comput. Assist. Radiol. Surg. 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
2017	J	`jnl`	Fiberprint: A subject fingerprint based on sparse code pooling for white matter fiber analysis. NeuroImage Kuldeep Kumar, Christian Desrosiers, Kaleem Siddiqi, Olivier Colliot, Matthew Toews
2017	J	`jnl`	Modeling Information Flow Through Deep Neural Networks. CoRR Ahmad Chaddad, Behnaz Naisiri, Marco Pedersoli, Eric Granger, Christian Desrosiers, Matthew Toews
2017	J	`jnl`	Multi-modal analysis of genetically-related subjects using SIFT descriptors in brain MRI. CoRR Kuldeep Kumar, Laurent Chauvin, Matthew Toews, Olivier Colliot, Christian Desrosiers
2017	J	`jnl`	Probabilistic Diffeomorphic Registration: Representing Uncertainty. CoRR Demian Wassermann, Matthew Toews, Marc Niethammer, William M. Wells III
2016	B	`conf`	GBM heterogeneity characterization by radiomic analysis of phenotype anatomical planes. Image Processing Ahmad Chaddad, Christian Desrosiers, Matthew Toews
2016	—	`conf`	How are siblings similar? How similar are siblings? Large-scale imaging genetics using local image features. ISBI Matthew Toews, William M. Wells III
2016	—	`conf`	Local discriminative characterization of MRI for Alzheimer's disease. ISBI Ahmad Chaddad, Christian Desrosiers, Matthew Toews
2016	B	`conf`	Multispectral texture analysis of histopathological abnormalities in colorectal tissues. ICIP Ahmad Chaddad, Christian Desrosiers, Lama Hassan, Matthew Toews
2016	—	`conf`	Phenotypic characterization of glioblastoma identified through shape descriptors. Computer-Aided Diagnosis Ahmad Chaddad, Christian Desrosiers, Matthew Toews
2016	—	`conf`	Radiomic analysis of multi-contrast brain MRI for the prediction of survival in patients with glioblastoma multiforme. EMBC Ahmad Chaddad, Christian Desrosiers, Matthew Toews
2016	B	`conf`	Spatially constrained sparse regression for the data-driven discovery of Neuroimaging biomarkers. ICPR Kuldeep Kumar, Christian Desrosiers, Ahmad Chaddad, Matthew Toews
2015	—	`conf`	A Feature-Based Approach to Big Data Analysis of Medical Images. IPMI Matthew Toews, Christian Wachinger, Raúl San José Estépar, William M. Wells III
2015	—	`conf`	Hybrid Utrasound and MRI Acquisitions for High-Speed Imaging of Respiratory Organ Motion. MICCAI (1) Frank Preiswerk, Matthew Toews, William Scott Hoge, Jr-yuan George Chiou, Lawrence P. Panych, William M. Wells III, Bruno Madore
2015	—	`conf`	Keypoint Transfer Segmentation. IPMI Christian Wachinger, Matthew Toews, Georg Langs, William M. Wells III, Polina Golland
2014	—	`conf`	Probabilistic Diffeomorphic Registration: Representing Uncertainty. WBIR Demian Wassermann, Matthew Toews, Marc Niethammer, William M. Wells III
2014	J	`jnl`	Robust Initialization of Active Shape Models for Lung Segmentation in CT Scans: A Feature-Based Atlas Approach. Int. J. Biomed. Imaging Gurman Gill, Matthew Toews, Reinhard R. Beichel
2013	J	`jnl`	Efficient and robust model-to-image alignment using 3D scale-invariant features. Medical Image Anal. Matthew Toews, William M. Wells III
2013	—	`conf`	Feature-Based Alignment of Volumetric Multi-modal Images. IPMI Matthew Toews, Lilla Zöllei, William M. Wells III
2013	B	`conf`	Fiber feature map based landmark initialization for highly deformable DTI registration. Image Processing Aditya Gupta, Matthew Toews, Ravikiran Janardhana, Yogesh Rathi, John H. Gilmore, Maria L. Escolar, Martin Styner
2013	—	`conf`	Inter-slice Correspondence for 2D Ultrasound-Guided Procedures. CLIP Matthew Toews, Alexandra J. Golby, William M. Wells III
2012	—	`conf`	A Feature-Based Developmental Model of the Infant Brain in Structural MRI. MICCAI (2) Matthew Toews, William M. Wells III, Lilla Zöllei
2010	—	`conf`	A mutual-information scale-space for image feature detection and feature-based classification of volumetric brain images. CVPR Workshops Matthew Toews, William M. Wells III
2010	—	`conf`	Exploring Cortical Folding Pattern Variability Using Local Image Features. MCV Rishi Rajalingham, Matthew Toews, D. Louis Collins, Tal Arbel
2010	J	`jnl`	Feature-based morphometry: Discovering group-related anatomical patterns. NeuroImage Matthew Toews, William M. Wells III, D. Louis Collins, Tal Arbel
2010	—	`conf`	Gender classification from unconstrained video sequences. CVPR Workshops Meltem Demirkus, Matthew Toews, James J. Clark, Tal Arbel
2009	—	`conf`	Automatically Learning Cortical Folding Patterns. ISBI Matthew Toews, D. Louis Collins, Tal Arbel
2009	—	`conf`	Bayesian Registration via Local Image Regions: Information, Selection and Marginalization. IPMI Matthew Toews, William M. Wells III
2009	J	`jnl`	Detection, Localization, and Sex Classification of Faces from Arbitrary Viewpoints and under Occlusion. IEEE Trans. Pattern Anal. Mach. Intell. Matthew Toews, Tal Arbel
2009	—	`conf`	Feature-Based Morphometry. MICCAI (1) Matthew Toews, William M. Wells III, D. Louis Collins, Tal Arbel
2009	A*	`conf`	SIFT-Rank: Ordinal description for invariant feature correspondence. CVPR Matthew Toews, William M. Wells III
2007	J	`jnl`	A Statistical Parts-Based Model of Anatomical Variability. IEEE Trans. Medical Imaging Matthew Toews, Tal Arbel
2007	A*	`conf`	Detecting and Localizing 3D Object Classes using Viewpoint Invariant Reference Frames. ICCV Matthew Toews, Tal Arbel
2007	—	`conf`	Detecting, Localizing and Classifying Visual Traits from Arbitrary Viewpoints Using Probabilistic Local Feature Modeling. AMFG Matthew Toews, Tal Arbel
2006	—	`conf`	A Statistical Parts-Based Appearance Model of Inter-subject Variability. MICCAI (1) Matthew Toews, D. Louis Collins, Tal Arbel
2006	—	`conf`	Detection Over Viewpoint via the Object Class Invariant. ICPR (1) Matthew Toews, Tal Arbel
2006	—	`conf`	Fundamental Matrix Estimation via TIP - Transfer of Invariant Parameters. ICPR (2) Frank Riggi, Matthew Toews, Tal Arbel
2005	—	`conf`	Maximum a Posteriori Local Histogram Estimation for Image Registration. MICCAI (2) Matthew Toews, D. Louis Collins, Tal Arbel
2003	A*	`conf`	Entropy-of-likelihood Feature Selection for Image Correspondence. ICCV Matthew Toews, Tal Arbel