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Liste des publications de "Toews, Matthew"Nombre de documents archivés : 83. 2023
Batool, Zahra, Zhang, Kaiwen et Toews, Matthew.
2023.
« Block-RACS: Towards reputation-aware client selection and monetization mechanism for federated learning ».
ACM SIGAPP Applied Computing Review, vol. 23, nº 3.
49–65.
Batool, Zahra, Zhang, Kaiwen et Toews, Matthew.
30 janvier 2023.
« Blockchain technologies for decentralized machine learning ».
[Article de recherche]. Substance ÉTS.
Batool, Zahra, Zhang, Kaiwen et Toews, Matthew.
30 janvier 2023.
« Les chaînes de blocs pour l’apprentissage machine décentralisé ».
[Article de recherche]. Substance ÉTS.
Molinier, Nathan, Painchaud-April, Guillaume, Le Duff, Alain, Toews, Matthew et Bélanger, Pierre.
2023.
« Ultrasonic imaging using conditional generative adversarial networks ».
Ultrasonics, vol. 133.
Roshtkhari, Mehraveh Javan, Toews, Matthew et Pedersoli, Marco.
2023.
« Balanced mixture of supernets for learning the CNN pooling architecture ».
In 2nd International Conferenceon Automated Machine Learning, AutoML (Berlin, Germany, Sept. 12-15, 2023)
Coll. « Proceedings of Machine Learning Research », vol. 224.
ML Research Press.
Watt, Ayden, Lee, James, Toews, Matthew et Gilardino, Mirko S..
2023.
« Smartphone integration of artificial intelligence for automated plagiocephaly diagnosis ».
Plastic and Reconstructive Surgery - Global Open, vol. 11, nº 5.
2022
Batool, Zahra, Zhang, Kaiwen et Toews, Matthew.
2022.
« FL-MAB: Client selection and monetization for blockchain-based federated learning ».
In Proceedings of the ACM Symposium on Applied Computing (En ligne, Apr. 25-29, 2022)
pp. 299-307.
Association for Computing Machinery.
Chauvin, Laurent, Kumar, Kuldeep, Desrosiers, Christian, Wells, William et Toews, Matthew.
2022.
« Efficient pairwise neuroimage analysis using the soft jaccard index and 3D keypoint sets ».
IEEE Transactions on Medical Imaging, vol. 41, nº 4.
pp. 836-845. 2021
Chapon, Arthur, Pereira, Daniel, Toews, Matthew et Belanger, Pierre.
2021.
« Deconvolution of ultrasonic signals using a convolutional neural network ».
Ultrasonics, vol. 111.
Duhaime, François, Pirnia, Pouyan, Manashti, Javad, Temimi, Mehdi, Dubé, Jean-Sébastien et Toews, Matthew.
2021.
« Particle size distribution from photographs: comparison of synthetic and real granular material images ».
In GeoNiagara 2021 : 74e conférence canadienne de géotechnique et la 14e conférence conjointe SCG/AIH-SNC sur les eaux souterraines (Niagara Falls, ON, Canada, Sept. 26-29, 2021)
2020
Boyadjian, Quentin, Vanderesse, Nicolas, Toews, Matthew et Bocher, Philippe.
2020.
« Detecting defects in materials using deep convolutional neural networks ».
In Image Analysis and Recognition : 17th International Conference, ICIAR 2020, Póvoa de Varzim, Portugal, June 24–26, 2020, Proceedings, Part I (Póvoa de Varzim, Portugal, June 24-26, 2020)
Coll. « Lecture Notes in Computer Science », vol. 12131.
pp. 293-306.
Springer.
Chauvin, Laurent, Kumar, Kuldeep, Wachinger, Christian, Vangel, Marc, de Guise, Jacques, Desrosiers, Christian, Wells, William et Toews, Matthew.
2020.
« Neuroimage signature from salient keypoints is highly specific to individuals and shared by close relatives ».
NeuroImage, vol. 204.
Frisken, Sarah, Luo, Ma, Juvekar, Parikshit, Bunevicius, Adomas, Machado, Ines, Unadkat, Prashin, Bertotti, Melina M., Toews, Matt, Wells, William M., Miga, Michael I. et Golby, Alexandra J..
2020.
« A comparison of thin-plate spline deformation and finite element modeling to compensate for brain shift during tumor resection ».
International Journal of Computer Assisted Radiology and Surgery, vol. 15, nº 1.
pp. 75-85.
Pepin, Étienne, Carluer, Jean-Baptiste, Chauvin, Laurent, Toews, Matthew et Harmouche, Rola.
2020.
« Large-Scale unbiased neuroimage indexing via 3D GPU-SIFT filtering and keypoint masking ».
In Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology. Third International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020. Held in Conjunction with MICCAI 2020, Proceedings (Lima, Peru, Oct. 04-08, 2020)
Coll. « Lecture Notes in Computer Science », vol. 12449.
pp. 108-118.
Cham, Switzerland : Springer International Publishing.
Wachinger, Christian, Toews, Matthew, Langs, Georg, Wells, William et Golland, Polina.
2020.
« Keypoint transfer for fast whole-body segmentation ».
IEEE Transactions on Medical Imaging, vol. 39, nº 2.
pp. 273-282. 2019
Chaddad, Ahmad, Daniel, Paul, Desrosiers, Christian, Toews, Matthew et Abdulkarim, Bassam.
2019.
« Novel radiomic features based on joint intensity matrices for predicting glioblastoma patient survival time ».
IEEE Journal of Biomedical and Health Informatics, vol. 23, nº 2.
pp. 795-804.
Chaddad, Ahmad, Toews, Matthew, Desrosiers, Christian et Niazi, Tamim.
2019.
« Deep radiomic analysis based on modeling information flow in convolutional neural networks ».
IEEE Access, vol. 7.
pp. 97242-97252.
Chauvin, Laurent, Kumar, Kuldeep, Desrosiers, Christian, De Guise, Jacques, Wells, William et Toews, Matthew.
2019.
« Analyzing brain morphology on the bag-of-features manifold ».
In Information Processing in Medical Imaging : 26th International Conference, IPMI : Proceedings (Hong Kong, China, June 02-07, 2019)
Coll. « Lecture Notes in Computer Science », vol. 11492.
pp. 45-56.
Springer Verlag.
Frisken, S., Luo, M., MacHado, I., Unadkat, P., Juvekar, P., Bunevicius, A., Toews, M., Wells, W. M., Miga, M. I. et Golby, A. J..
2019.
« Preliminary results comparing thin-plate splines with finite element methods for modeling brain deformation during neurosurgery using intraoperative ultrasound ».
In Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling (San Diego, CA, USA, Feb. 17-19, 2019)
Coll. « Proceedings of SPIE », vol. 10951.
SPIE.
Luo, Jie, Sedghi, Alireza, Popuri, Karteek, Cobzas, Dana, Zhang, Miaomiao, Preiswerk, Frank, Toews, Matthew, Golby, Alexandra, Sugiyama, Masashi, Wells, William M. et Frisken, Sarah.
2019.
« On the applicability of registration uncertainty ».
In Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, 22nd International Conference, Proceedings, Part II (Shenzhen, China, Oct. 13-17, 2019)
Coll. « Lecture Notes in Computer Science », vol. 11765.
pp. 410-419.
Cham, Switzerland : Springer International Publishing.
Machado, Inês, Toews, Matthew, George, Elizabeth, Unadkat, Prashin, Essayed, Walid, Luo, Jie, Teodoro, Pedro, Carvalho, Herculano, Martins, Jorge, Golland, Polina, Pieper, Steve, Frisken, Sarah, Golby, Alexandra, Wells III, William et Ou, Yangming.
2019.
« Deformable MRI-Ultrasound registration using correlation-based attribute matching for brain shift correction: accuracy and generality in multi-site data ».
NeuroImage, vol. 202.
2018
Chauvin, Laurent, Kumar, Kuldeep, Desrosiers, Christian, de Guise, Jacques et Toews, Matthew.
2018.
« Diffusion Orientation Histograms (DOH) for diffusion weighted image analysis ».
In Computational Diffusion MRI : MICCAI Workshop, 2017 (Montreal, QC, Canada, Sept. 10, 2017)
Coll. « Mathematics and Visualization »
pp. 91-99.
Springer International Publishing.
Kumar, Kuldeep, Chauvin, Laurent, Toews, Matthew, Colliot, Olivier et Desrosiers, Christian.
2018.
« Multi-modal analysis of genetically-related subjects using SIFT descriptors in brain MRI ».
In Computational Diffusion MRI, MICCAI Workshop (Québec, QC, Canada, 10 sept. 2017)
Coll. « Mathematics and Visualization »
pp. 219-228.
Springer International Publishing.
Kumar, Kuldeep, Toews, Matthew, Chauvin, Laurent, Colliot, Olivier et Desrosiers, Christian.
2018.
« Multi-modal brain fingerprinting: A manifold approximation based framework ».
NeuroImage, vol. 183.
pp. 212-226.
Langenfeld, Florent, Axenopoulos, Apostolos, Chatzitofis, Anargyros, Craciun, Daniela, Daras, Petros, Du, Bowen, Giachetti, Andrea, Lai, Yu-Kun, Li, Haisheng, Li, Yingbin, Masoumi, Majid, Peng, Yuxu, Rosin, Paul L., Sirugue, Jeremy, Sun, Li, Thermos, Spyridon, Toews, Matthew, Wei, Yang, Wu, Yujuan, Zhai, Yujia, Zhao, Tianyu, Zheng, Yanping et Montes, Matthieu.
2018.
« SHREC 2018 - Protein shape retrieval ».
In 11th Eurographics Workshop on 3D Object Retrieval (3DOR) (Delft, Netherlands, Apr. 16, 2018)
pp. 53-61.
Eurographics Association.
Luo, Jie, Frisken, Sarah, Machado, Ines, Zhang, Mlaomlao, Pieper, Steve, Golland, Polina, Toews, Matthew, Unadkat, Prashln, Sedghi, Alireza, Zhou, Haoyln, Mehrtash, Alireza, Preiswerk, Frank, Cheng, Cheng-Chleh, Golby, Alexandra, Sugiyama, Masashi et Wells, William M. III.
2018.
« Using the variogram for vector outlier screening: application to feature-based image registration ».
International Journal of Computer Assisted Radiology and Surgery, vol. 13, nº 12.
pp. 1871-1880.
Luo, Jie, Toews, Matthew, Machado, Ines, Frisken, Sarah, Zhang, Miaomiao, Preiswerk, Frank, Sedghi, Alireza, Ding, Hongyi, Pieper, Steve, Golland, Polina, Golby, Alexandra, Sugiyama, Masashi et Wells Iii, William M..
2018.
« A feature-driven active framework for ultrasound-based brain shift compensation ».
In Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, 21st International Conference, Proceedings, Part IV (Granada, Spain, Sept. 16-20, 2018)
Coll. « Lecture Notes in Computer Science », vol. 11073.
pp. 30-38.
Springer.
Machado, Inês, Toews, Matthew, Luo, Jie, Unadkat, Pashin, Essayed, Walid, George, Elizabeth, Teodoro, Pedro, Carvalho, Herculano, Martins, Jorge, Golland, Polina, Pieper, Steve, Frisken, Sarah, Golby, Alexandra et Wells, William III.
2018.
« Non-rigid registration of 3D ultrasound for neurosurgery using automatic feature detection and matching ».
International Journal of Computer Assisted Radiology and Surgery, vol. 13, nº 10.
pp. 1525-1538.
Machado, Ines, Toews, Matthew, Luo, Jie, Unadkat, Prashin, Essayed, Walid, George, Elizabeth, Teodoro, Pedro, Carvalho, Herculano, Martins, Jorge, Golland, Polina, Pieper, Steve, Frisken, Sarah, Golby, Alexandra, Wells, William et Ou, Yangming.
2018.
« Deformable MRI-ultrasound registration via attribute matching and mutual-saliency weighting for image-guided neurosurgery ».
In Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation, International Workshops, POCUS 2018, BIVPCS 2018, CuRIOUS 2018, and CPM 2018, Held in Conjunction with MICCAI 2018, Proceedings (Granada, Spain, Sept. 16-20, 2018)
Coll. « Lecture Notes in Computer Science », vol. 11042.
pp. 165-171.
Springer Verlag.
Toews, Matthew et Wells, M. William.
2018.
« Phantomless auto-calibration and online calibration assessment for a tracked freehand 2-D ultrasound probe ».
IEEE Transactions on Medical Imaging, vol. 37, nº 1.
pp. 262-272. 2017
Chaddad, Ahmad, Desrosiers, Christian et Toews, Matthew.
2017.
« Multi-scale radiomic analysis of sub-cortical regions in MRI related to autism, gender and age ».
Scientific Reports, vol. 7.
Chaddad, Ahmad, Desrosiers, Christian, Toews, Matthew et Abdulkarim, Bassam.
2017.
« Predicting survival time of lung cancer patients using radiomic analysis ».
Oncotarget, vol. 8, nº 61.
pp. 104393-104407.
Haj-Hassan, Hawraa, Chaddad, Ahmad, Harkouss, Youssef, Desrosiers, Christian, Toews, Matthew et Tanougast, Camel.
2017.
« Classifications of multispectral colorectal cancer tissues using convolution neural network ».
Journal of Pathology Informatics, vol. 8, nº 1.
Kumar, Kuldeep, Desrosiers, Christian, Siddiqi, Kaleem, Colliot, Olivier et Toews, Matthew.
2017.
« Fiberprint: A subject fingerprint based on sparse code pooling for white matter fiber analysis ».
NeuroImage, vol. 158.
pp. 242-259.
Kumar, Kuldeep, Desrosiers, Christian, Siddiqi, Kaleem, Colliot, Olivier et Toews, Matthew.
14 novembre 2017.
« Fiberprint: Human Brain Wiring Shows Unique Fingerprint ».
[Article de recherche]. Substance ÉTS.
Kumar, Kuldeep, Desrosiers, Christian, Siddiqi, Kaleem, Colliot, Olivier et Toews, Matthew.
14 novembre 2017.
« L’empreinte cérébrale : une image des connexions du cerveau ».
[Article de recherche]. Substance ÉTS.
Preiswerk, Frank, Toews, Matthew, Cheng, Cheng-Chieh, Chiou, Jr-yuan George, Mei, Chang-Sheng, Schaefer, Lena F., Hoge, W. Scott, Schwartz, Benjamin M., Panych, Lawrence P. et Madore, Bruno.
2017.
« Hybrid MRI-Ultrasound acquisitions, and scannerless real-time imaging ».
Magnetic Resonance in Medicine, vol. 78, nº 3.
pp. 897-908. 2016
Bersvendsen, Jorn, Toews, Matthew, Danudibroto, Adriyana, Wells, William M., Urheim, Stig, Estepar, Raul San José et Samset, Eigil.
2016.
« Robust spatio-temporal registration of 4D cardiac ultrasound sequences ».
In Medical Imaging 2016: Ultrasonic Imaging and Tomography (San Diego, CA, USA, Feb. 28-29, 2016)
Coll. « Proceedings of SPIE », vol. 9790.
SPIE.
Chaddad, Ahmad, Desrosiers, Christian, Bouridane, Ahmed, Toews, Matthew, Hassan, Lama et Tanougast, Camel.
2016.
« Multi texture analysis of colorectal cancer continuum using multispectral imagery ».
PLoS ONE, vol. 11, nº 2.
Chaddad, Ahmad, Desrosiers, Christian, Hassan, Lama et Toews, Matthew.
2016.
« Multispectral texture analysis of histopathological abnormalities in colorectal tissues ».
In IEEE International Conference on Image Processing (ICIP) (Phoenix, AZ, USA, Sept. 25-28, 2016)
pp. 2628-2632.
IEEE.
Chaddad, Ahmad, Desrosiers, Christian et Toews, Matthew.
2016.
« GBM heterogeneity characterization by radiomic analysis of phenotype anatomical planes ».
In Medical Imaging 2016: Image Processing (San Diego, CA, USA, Fev. 27-Mar. 03, 2016)
Coll. « Proceedings of SPIE », vol. 9784.
SPIE.
Chaddad, Ahmad, Desrosiers, Christian et Toews, Matthew.
2016.
« Local discriminative characterization of MRI for Alzheimer's disease ».
In 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) (Prague, Czech Republic, Apr. 13-16, 2016)
pp. 1-5.
Piscataway, NJ, USA : IEEE.
Chaddad, Ahmad, Desrosiers, Christian et Toews, Matthew.
2016.
« Phenotypic characterization of glioblastoma identified through shape descriptors ».
In Medical Imaging 2016: Computer-Aided Diagnosis (San Diego, CA, USA, Feb. 28-Mar. 02, 2016)
Coll. « Proceedings of SPIE », vol. 9785.
SPIE.
Chaddad, Ahmad, Desrosiers, Christian et Toews, Matthew.
2016.
« Radiomic analysis of multi-contrast brain MRI for the prediction of survival in patients with glioblastoma multiforme ».
In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (Orlando, FL, USA, Aug. 16-20, 2016)
pp. 4035-4038.
Piscataway, NJ, USA : IEEE.
Kumar, Kuldeep, Desrosiers, Christian, Chaddad, Ahmad et Toews, Matthew.
2016.
« Spatially constrained sparse regression for the data-driven discovery of neuroimaging biomarkers ».
In 23rd International Conference on Pattern Recognition (ICPR) (Cancún, México, Dec. 04-08, 2016)
pp. 2162-2167.
IEEE.
Toews, Matthew et Wells III, William M..
2016.
« How are siblings similar? How similar are siblings? Large-scale imaging genetics using local image features ».
In 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) (Prague, Czech Republic, Apr. 13-16, 2016)
pp. 847-850.
Piscataway, NJ, USA : IEEE. 2015
Preiswerk, Frank, Toews, Matthew, Hoge, W. Scott, Chiou, Jr-yuan George, Panych, Lawrence P., Wells, William M. et Madore, Bruno.
2015.
« Hybrid utrasound and MRI acquisitions for high-speed imaging of respiratory organ motion ».
In Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015 : 18th International Conference, Proceedings, Part I (Munich, Germany, Oct. 5-9, 2015)
Coll. « Lecture Notes in Computer Science », vol. 9349.
pp. 315-322.
Springer International Publishing. Toews, Matthew, Wachinger, Christian, Estepar, Raul San Jose et Wells III, William M.. 2015. « A feature-based approach to Big Data medical image analysis ». Communication lors de la conférence : Information Processing in Medical Imaging (IPMI 2015) (Isle of Skye, Scotland, June 28 - July 3, 2015).
Toews, Matthew, Wachinger, Christian, Estepar, Raul San Jose et Wells, William M. III.
2015.
« A Feature-based approach to big data analysis of medical images ».
In Information Processing in Medical Imaging : 24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28 - July 3, 2015, Proceedings (Sabhal Mor Ostaig, Isle of Skye, UK, June 28-July 3, 2015)
Coll. « Lecture Notes in Computer Science », vol. 9123.
pp. 339-350.
Springer International Publishing.
Wachinger, C., Toews, M., Langs, G., Wells, W. et Golland, P..
2015.
« Keypoint transfer segmentation ».
In Information Processing in Medical Imaging : 24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28 - July 3, 2015, Proceedings (Sabhal Mor Ostaig, Isle of Skye, UK, June 28-July 3, 2015)
Coll. « Lecture Notes in Computer Science », vol. 9123.
pp. 233-245.
Springer International Publishing. 2014
Gill, G., Toews, M. et Beichel, R. R..
2014.
« Robust initialization of active shape models for lung segmentation in CT scans: a feature-based atlas approach ».
International Journal of Biomed Imaging.
p. 479154.
Kapur, Tina, Egger, Jan, Jayender, Jagadeesan, Toews, Matthew et Wells III, William M..
2014.
« Registration and segmentation for image-guided therapy ».
In
Intraoperative Imaging and Image-Guided Therapy.
pp. 79-91. Springer New York.
Ng, Bernard, Toews, Matthew, Durrleman, Stanley et Shi, Yonggang.
2014.
« Shape analysis for brain structures ».
In
Shape analysis in medical image analysis.
Coll. « Lecture Notes in Computational Vision and Biomechanics », 14.
pp. 3-49. Springer International Publishing.
Toews, Matthew, Golby, Alexandra J. et Wells III, William M..
2014.
« Inter-slice correspondence for 2D ultrasound-guided procedures ».
In Clinical Image-Based Procedures. Translational Research in Medical Imaging (Nagoya, Japan, Sept. 24, 2013)
Coll. « Lecture Notes in Computer Science », vol. 8361.
pp. 143-150.
Springer International Publishing. Toews, Matthew, Mei, Chan-Sheng, Chu, Renxin, Hoge, W. Scott, Panych, Lawrence P. et Madore, Bruno. 2014. « Detecting rapid organ motion using a hybrid MR-ultrasound setup and Bayesian data processing ». Communication lors de la conférence : Joint Annual Meeting ISMRM-ESMRMB 2014 (Milan, Italy, May 10-16, 2014).
Wassermann, Demian, Toews, Matthew, Niethammer, Marc et Wells III, William M..
2014.
« Probabilistic diffeomorphic registration: representing uncertainty ».
In Biomedical Image Registration : 6th International Workshop, WBIR 2014, London, UK, July 7-8, 2014. Proceedings (London, UK, July 7-8, 2014)
Coll. « Lecture Notes in Computer Science », vol. 8545.
pp. 72-82.
Springer International Publishing. 2013
Gill, Gurman, Toews, Matthew et Beichel, Reinhard R..
2013.
« An automated initialization system for robust model-based segmentation of lungs in CT data ».
In The Fifth International Workshop on Pulmonary Image Analysis (Nagoya, Japan, Sept. 26, 2013)
pp. 111-122.
MICCAI.
Gupta, Aditya, Toews, Matthew, Janardhana, Ravikiran, Rathi, Yogesh, Gilmore, John, Escolar, Maria et Styner, Martin.
2013.
« Fiber feature map based landmark initialization for highly deformable DTI registration ».
In Proceedings of SPIE 8669, Medical Imaging 2013: Image Processing (Orlando, FL, USA, Mar. 13, 2013)
p. 866907.
Toews, Matthew, Mei, Chang-Sheng, Chu, Renxin, Hoge, W. Scott, Schwarts, Benjamin M., Wang, Guangyu, Panych, Lawrence P. et Madore, Bruno. 2013. « Boosting MR temporal resolution using rapid ultrasound measurements for motion tracking purposes ». Communication lors de la conférence : ISMRM 21st Annual Meeting and Exhibition (Salt Lake City, UT, USA, Apr. 20-26, 2013).
Toews, Matthew et Wells III, William M..
2013.
« Efficient and robust model-to-image alignment using 3D scale-invariant features ».
Medical Image Analysis, vol. 17, nº 3.
pp. 271-282.
Toews, Matthew, Zöllei, Lilla et Wells, William M..
2013.
« Feature-based alignment of volumetric multi-modal images ».
In Information processing in medical imaging : 23rd International Conference, IPMI 2013, Asilomar, CA, USA, June 28–July 3, 2013. Proceedings (Asilomar, CA, USA, June 28–July 3, 2013)
Coll. « Lecture Notes in Computer Science », vol. 7917.
pp. 25-36.
Springer Berlin Heidelberg. 2012Madore, Bruno, Toews, Matthew, Mei, Chan-Sheng, Chu, Renxin, Hoge, W. Scott et Panych, Lawrence P.. 2012. « Strategy for simultaneous region-tracking and temperature-monitoring in the liver during free-breathing ». Affiche présentée lors de la conférence : The International Society for Magnetic Resonance in Medicine 20th Scientific Meeting & Exhibition (Melbourne, Australia, May 5-11, 2012).
Toews, Matthew, Wells III, William M. et Zöllei, Lilla.
2012.
« A feature-based developmental model of the infant brain in structural MRI ».
In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012 : 15th International Conference, Proceedings, Part II (Nice, France, Oct. 1-5, 2012)
Coll. « Lecture Notes in Computer Science », vol. 7511.
pp. 204-211.
Springer Berlin Heidelberg. 2011
Rajalingham, Rishi, Toews, Matthew, Collins, D. Louis et Arbel, Tal.
2011.
« Exploring cortical folding pattern variability using local image features ».
In Medical Computer Vision : Recognition Techniques and Applications in Medical Imaging (Beijing, China, Sept. 20, 2010)
Coll. « Lecture Notes in Computer Science », vol. 6533.
pp. 43-53.
Springer Berlin Heidelberg. 2010
Demirkus, Meltem, Toews, Matthew, Clark, James J. et Arbel, Tal.
2010.
« Gender classification from unconstrained video sequences ».
In 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops (CVPRW) (San Francisco, CA, USA, June 13-18, 2010)
pp. 55-62.
Los Alamitos, CA, USA : IEEE Computer Society.
Toews, Matthew et Wells III, William M..
2010.
« A mutual-information scale-space for image feature detection and feature-based classification of volumetric brain images ».
In 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops (CVPRW) (San Francisco, CA, United states, June 13-18, 2010)
pp. 111-116.
Los Alamitos, CA, USA : IEEE Computer Society.
Toews, Matthew, Wells III, William M., Collins, D. Louis et Arbel, Tal.
2010.
« Feature-based morphometry: discovering group-related anatomical patterns ».
NeuroImage, vol. 49, nº 3.
pp. 2318-2327. 2009
Toews, M. et Arbel, T..
2009.
« Detection, localization, and sex classification of faces from arbitrary viewpoints and under occlusion ».
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, nº 9.
pp. 1567-1581.
Toews, M. et Arbel, Tal.
2009.
« Parts-based modelling of medical imagery ».
In
Computational intelligence in medical imaging: techniques and applications.
pp. 291-326. CRC Press.
Toews, Matthew, Collins, D. Louis et Arbel, Tal.
2009.
« Automatically learning cortical folding patterns ».
In IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2009. ISBI '09 (Boston, MA, USA, June 28-July 1, 2009)
pp. 1330-1333.
Piscataway, NJ, USA : IEEE Computer Society.
Toews, Matthew et Wells, William III.
2009.
« SIFT-Rank: Ordinal description for invariant feature correspondence ».
In IEEE Conference onComputer Vision and Pattern Recognition, 2009. CVPR 2009 (Miami, FL, USA, June 20-25, 2009)
pp. 172-177.
Piscataway, NJ, USA : IEEE Computer Society.
Toews, Matthew et Wells, William M..
2009.
« Bayesian registration via local image regions: information, selection and marginalization ».
In Information processing in medical imaging : 21st International Conference, IPMI 2009, Williamsburg, VA, USA, July 5-10, 2009. Proceedings (Williamsburg, VA, USA, July 5-10, 2009)
Coll. « Lecture Notes in Computer Science », vol. 5636.
pp. 435-446.
Springer Berlin Heidelberg.
Toews, Matthew, Wells, William M., Collins, D. Louis et Arbel, Tal.
2009.
« Feature-based morphometry ».
In Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009 : 12th International Conference, Proceedings, Part II (London, UK, Sept. 20-24, 2009)
Coll. « Lecture Notes in Computer Science », vol. 5762.
pp. 109-116.
Springer Berlin Heidelberg. 2008Toews, Matthew. 2008. « A probabilistic model to learn, detect, localize and classify patterns in arbitrary images ». Thèse de doctorat. Montreal, McGill University, 183 p. 2007
Toews, M. et Arbel, T..
2007.
« A statistical parts-based model of anatomical variability ».
IEEE Transactions on Medical Imaging, vol. 26, nº 4.
pp. 497-508.
Toews, Matthew et Arbel, Tal.
2007.
« Detecting and localizing 3D object classes using viewpoint invariant reference frames ».
In IEEE 11th International Conference on Computer Vision, 2007. ICCV 2007 (Rio de Janeiro, Brazil, Oct. 14-21, 2007)
pp. 1-8.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers Inc..
Toews, Matthew et Arbel, Tal.
2007.
« Detecting, localizing and classifying visual traits from arbitrary viewpoints using probabilistic local feature modeling ».
In Analysis and modeling of faces and gestures : Third International Workshop, AMFG 2007 Rio de Janeiro, Brazil, October 20, 2007 Proceedings (Rio de Janeiro, Brazil, Oct. 20, 2007)
Coll. « Lecture Notes in Computer Science », vol. 4778.
pp. 154-167.
Springer Berlin Heidelberg. 2006
Riggi, Frank, Toews, Matthew et Arbel, Tal.
2006.
« Fundamental matrix estimation via TIP - Transfer of Invariant Parameters ».
In 18th International Conference on Pattern Recognition, 2006. ICPR 2006 (Hong Kong, China, Aug. 20-24, 2006)
pp. 21-24.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers Inc..
Toews, Matthew et Arbel, Tal.
2006.
« Detection over viewpoint via the object class invariant ».
In 18th International Conference on Pattern Recognition, 2006. ICPR 2006 (Hong Kong, China, Aug. 20-24, 2006)
pp. 765-768.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers Inc..
Toews, Matthew, Collins, D. Louis et Arbel, Tal.
2006.
« A statistical parts-based appearance model of inter-subject variability ».
In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006 : 9th International Conference, Proceedings, Part I (Copenhagen, Denmark, Oct. 1-6, 2006)
Coll. « Lecture Notes in Computer Science », vol. 4190.
pp. 232-240.
2005
Toews, Matthew, Collins, Louis D. et Arbel, Tal.
2005.
« Maximum a posteriori local histogram estimation for image registration ».
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