Richard Frayne

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 31

Top Topics

Automatic Segmentation

Convolutional Neural Networks

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Publications

Rafsanjany Kushol, Richard Frayne, Simon J. Graham, Alan H. Wilman, Sanjay Kalra, Yee-Hong Yang
Domain Adaptation of MRI Scanners as an Alternative to MRI Harmonization. DART@MICCAI (2023)
Abhijot S. Sidhu, Talal H. Shahid, Kauê T. N. Duarte, Rachel J. Sharkey, Cheryl R. McCreary, Bradley G. Goodyear, Richard Frayne
Default Mode Network Segregation Decreases in Healthy Brain Aging. SIPAIM (2023)
Rafsanjany Kushol, Collin C. Luk, Avyarthana Dey, Michael Benatar, Hannah Briemberg, Annie Dionne, Nicolas Dupré, Richard Frayne, Angela Genge, Summer Gibson, Simon J. Graham, Lawrence Korngut, Peter Seres, Robert C. Welsh, Alan Wilman, Lorne Zinman, Sanjay Kalra, Yee-Hong Yang
SF2Former: Amyotrophic Lateral Sclerosis Identification From Multi-center MRI Data Using Spatial and Frequency Fusion Transformer. CoRR (2023)
Rafsanjany Kushol, Collin C. Luk, Avyarthana Dey, Michael Benatar, Hannah Briemberg, Annie Dionne, Nicolas Dupré, Richard Frayne, Angela Genge, Summer Gibson, Simon J. Graham, Lawrence Korngut, Peter Seres, Robert C. Welsh, Alan H. Wilman, Lorne Zinman, Sanjay Kalra, Yee-Hong Yang
SF2Former: Amyotrophic lateral sclerosis identification from multi-center MRI data using spatial and frequency fusion transformer. Comput. Medical Imaging Graph. 108 (2023)
Kauê T. N. Duarte, David G. Gobbi, Abhijot S. Sidhu, Cheryl R. McCreary, Feryal Saad, Richard Camicioli, Eric E. Smith, Richard Frayne
Segmenting white matter hyperintensities in brain magnetic resonance images using convolution neural networks. Pattern Recognit. Lett. 175 (2023)
Marina Salluzzi, Cheryl R. McCreary, David G. Gobbi, Michel Louis Lauzon, Richard Frayne
Short-term repeatability and long-term reproducibility of quantitative MR imaging biomarkers in a single centre longitudinal study. NeuroImage 260 (2022)
Kauê T. N. Duarte, David G. Gobbi, Abhijot S. Sidhu, Cheryl R. McCreary, Feryal Saad, Nita Das, Eric E. Smith, Richard Frayne
Segmenting White Matter Hyperintensity in Alzheimer's Disease using U-Net CNNs. SIBGRAPI (2022)
Mariana P. Bento, Irene Fantini, Justin Park, Letícia Rittner, Richard Frayne
Deep Learning in Large and Multi-Site Structural Brain MR Imaging Datasets. Frontiers Neuroinformatics 15 (2021)
Youssef Beauferris, Jonas Teuwen, Dimitrios Karkalousos, Nikita Moriakov, Matthan W. A. Caan, Lívia Rodrigues, Alexandre Lopes, Hélio Pedrini, Letícia Rittner, Maik Dannecker, Viktor Studenyak, Fabian Gröger, Devendra Vyas, Shahrooz Faghih-Roohi, Amrit Kumar Jethi, JayaChandra Raju, Mohanasankar Sivaprakasam, Wallace Loos, Richard Frayne, Roberto Souza
Multi-channel MR Reconstruction (MC-MRRec) Challenge - Comparing Accelerated MR Reconstruction Models and Assessing Their Genereralizability to Datasets Collected with Different Coils. CoRR (2020)
Roberto Souza, Youssef Beauferris, Wallace Loos, Robert Marc Lebel, Richard Frayne
Enhanced Deep-Learning-Based Magnetic Resonance Image Reconstruction by Leveraging Prior Subject-Specific Brain Imaging: Proof-of-Concept Using a Cohort of Presumed Normal Subjects. IEEE J. Sel. Top. Signal Process. 14 (6) (2020)
Kauê T. N. Duarte, David G. Gobbi, Richard Frayne, Marco A. G. Carvalho
Detecting Alzheimer's Disease based on Structural Region Analysis using a 3D Shape Descriptor. SIBGRAPI (2020)
Kevin J. Chung, Roberto Souza, Richard Frayne
Restoration of Lossy JPEG-Compressed Brain MR Images Using Cross-Domain Neural Networks. IEEE Signal Process. Lett. 27 (2020)
Roberto Souza, Mariana P. Bento, Nikita Nogovitsyn, Kevin J. Chung, R. Marc Lebel, Richard Frayne
Dual-domain Cascade of U-nets for Multi-channel Magnetic Resonance Image Reconstruction. CoRR (2019)
Roberto Souza, Oeslle Lucena, Mariana P. Bento, Julia Garrafa, Letícia Rittner, Simone Appenzeller, Roberto de Alencar Lotufo, Richard Frayne
Brain Extraction Network Trained with "Silver Standard" Data and Fine-Tuned with Manual Annotation for Improved Segmentation. SIBGRAPI (2019)
Roberto Souza, Richard Frayne
A Hybrid Frequency-Domain/Image-Domain Deep Network for Magnetic Resonance Image Reconstruction. SIBGRAPI (2019)
Roberto Souza, R. Marc Lebel, Richard Frayne
A Hybrid, Dual Domain, Cascade of Convolutional Neural Networks for Magnetic Resonance Image Reconstruction. MIDL (2019)
Mariana P. Bento, Roberto Souza, Marina Salluzzi, Richard Frayne
Reliability of computer-aided diagnosis tools with multi-center MR datasets: impact of training protocol. Medical Imaging: Computer-Aided Diagnosis (2019)
Katherine Zukotvnski, Vincent C. Gaudet, Phillip Kuo, Sabrina Adamo, Maged Goubran, Christian Bocti, Michael Borrie, Howard Chertkow, Richard Frayne, Robin Hsiung, Robert Laforce, Michael D. Noseworthy, Frank S. Prato, Jim D. Sahlas, Christopher Scott, Eric E. Smith, Vesna Sossi, Alexander Thiel, Jean-Paul Soucy, Jean-Claude Tardif, Sandra E. Black
Non-Binary Approaches for Classification of Amyloid Brain PET. ISMVL (2019)
Oeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto de Alencar Lotufo
Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks. Artif. Intell. Medicine 98 (2019)
Mariana P. Bento, Roberto Souza, Richard Frayne
Multicenter Imaging Studies: Automated Approach to Evaluating Data Variability and the Role of Outliers. SIBGRAPI (2018)
Roberto Souza, Oeslle Lucena, Mariana P. Bento, Julia Garrafa, Simone Appenzeller, Letícia Rittner, Roberto de Alencar Lotufo, Richard Frayne
Reliability of using single specialist annotation for designing and evaluating automatic segmentation methods: A skull stripping case study. ISBI (2018)
Oeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto de Alencar Lotufo
Silver standard masks for data augmentation applied to deep-learning-based skull-stripping. ISBI (2018)
Roberto Souza, Oeslle Lucena, Julia Garrafa, David G. Gobbi, Marina Salluzzi, Simone Appenzeller, Letícia Rittner, Richard Frayne, Roberto de Alencar Lotufo
An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement. NeuroImage 170 (2018)
Mariana P. Bento, Roberto Souza, Marina Salluzzi, Richard Frayne
Normal Brain Aging: Prediction of Age, Sex and White Matter Hyperintensities Using a MR Image-Based Machine Learning Technique. ICIAR (2018)
Oeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto de Alencar Lotufo
Convolutional Neural Networks for Skull-stripping in Brain MR Imaging using Consensus-based Silver standard Masks. CoRR (2018)
Roberto Souza, Richard Frayne
A Hybrid Frequency-domain/Image-domain Deep Network for Magnetic Resonance Image Reconstruction. CoRR (2018)
Lívia Rodrigues, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto de Alencar Lotufo
Common Carotid Artery Lumen Automatic Segmentation from Cine Fast Spin Echo Magnetic Resonance Imaging. SaMBa@MICCAI (2018)
Mariana P. Bento, Roberto Medeiros de Souza, Roberto de Alencar Lotufo, Richard Frayne, Letícia Rittner
WMH Segmentation Challenge: A Texture-Based Classification Approach. BrainLes@MICCAI (2017)
Lívia Rodrigues, Roberto Medeiros de Souza, Letícia Rittner, Richard Frayne, Roberto de Alencar Lotufo
Common Carotid Artery Lumen Segmentation from Cardiac Cycle-Resolved Cine Fast Spin Echo Magnetic Resonance Imaging. SIBGRAPI (2017)
Mariana P. Bento, Yan Sym, Richard Frayne, Roberto de Alencar Lotufo, Letícia Rittner
Probabilistic Segmentation of Brain White Matter Lesions Using Texture-Based Classification. ICIAR (2017)
Mariana Leite, David G. Gobbi, Marina Salluzzi, Richard Frayne, Roberto de Alencar Lotufo, Letícia Rittner
3D texture-based classification applied on brain white matter lesions on MR images. Medical Imaging: Computer-Aided Diagnosis (2016)
Charlotte Curtis, Richard Frayne, Elise C. Fear
Using X-Ray Mammograms to Assist in Microwave Breast Image Interpretation. Int. J. Biomed. Imaging 2012 (2012)
Charlotte Curtis, Richard Frayne, Elise C. Fear
Semiautomated Multimodal Breast Image Registration. Int. J. Biomed. Imaging 2012 (2012)
Robert K. Kosior, M. Louis Lauzon, Paolo Federico, Richard Frayne
Algebraic T2 estimation improves detection of right temporal lobe epilepsy by MR T2 relaxometry. NeuroImage 58 (1) (2011)
Robert A. Brown, M. Louis Lauzon, Richard Frayne
A general description of linear time-frequency transforms and formulation of a fast, invertible transform that samples the continuous S-transform spectrum nonredundantly. IEEE Trans. Signal Process. 58 (1) (2010)
Rita W. T. Cheng, Ayman F. Habib, Richard Frayne, Janet Lenore Ronsky
Registration of knee joint surfaces for the in vivo study of joint injuries based on magnetic resonance imaging. Medical Imaging: Image Processing (2006)
Ashley D. Harris, Kojiro Ide, Marc J. Poulin, Richard Frayne
reduces middle cerebral artery blood velocity variability: Implications for physiological neuroimaging. NeuroImage 29 (4) (2006)
Rita W. T. Cheng, Richard Frayne, Janet Lenore Ronsky, Ayman F. Habib
Matching strategy for co-registration of surfaces acquired by magnetic resonance imaging. IGARSS (2005)
Mohammad Sabati, Maitham Sabati, S. Abdolkarim Hosseini Ravandi, Richard Frayne
Impulse noise reduction in MR images using one rule-base merging method of fuzzy weighted mean filters. Medical Imaging: Image Processing (2003)