Richard Frayne

50 papers B 2C 1Journal 22Unranked 25

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Does Covert Cerebral Small Vessel Disease Modulate Early Change in Glymphatic Flow from DTI-ALPS? SIPAIM Julia Chu, Rachel J. Sharkey, Cheryl R. McCreary, Feryal Saad, Eric E. Smith, Richard Frayne
2025	—	`conf`	First Results on Graph Similarity Search in Resting-State Functional Connectivity Networks Using Spectral and Graph Edit Distances. BIOSTEC (1) Marco A. G. Carvalho, Richard Frayne
2025	—	`conf`	Generalize or Specialize? The Effect of Coil Combining in Deep Learning Based MR Image Reconstruction. ISBI Natalia Dubljevic, Richard Frayne, Roberto Souza
2025	—	`conf`	Longitudinal White Matter Hyperintensity Segmentation with LSTM-Enhanced U-Net. SIBGRAPI Kauê T. N. Duarte, Murilo Costa de Barros, Abhijot S. Sidhu, David G. Gobbi, Cheryl R. McCreary, Feryal Saad, Eric E. Smith, Mariana P. Bento, Richard Frayne
2025	—	`conf`	Pilot Study of Distinct Graphs Models in Analysis of Brain Aging in Resting-State Functional Connectivity Networks. BIOSTEC (1) Marco A. G. Carvalho, Richard Frayne
2025	—	`conf`	Quantifying White Matter Hyperintensities: Predicting Periventricular Fazekas Scores with Uncertainty Estimation. ISBI Susanne Schmid, Amirmohammad Shamaei, Roberto Souza, Richard Frayne
2025	—	`conf`	Structured Artificial Neural Networks for Chronological Brain Age Prediction using Functional Connectivity Matrices. SIPAIM Kauê T. N. Duarte, Abhijot S. Sidhu, Murilo Costa de Barros, David G. Gobbi, Cheryl R. McCreary, Mariana P. Bento, Richard Frayne
2025	J	`jnl`	Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems. Trans. Mach. Learn. Res. Farzaneh Dehghani, Mahsa Dibaji, Fahim Anzum, Lily Dey, Alican Basdemir, Sayeh Bayat, Jean-Christophe Boucher, Steve Drew, Sarah Elaine Eaton, Richard Frayne, Gouri Ginde, Ashley D. Harris, Yani Ioannou, Catherine Lebel, John Lysack, Leslie Salgado Arzuaga, Emma A. M. Stanley, Roberto Souza, Ronnie de Souza Santos, Lana Wells, Tyler Williamson, Matthias Wilms, Mark Ungrin, Marina L. Gavrilova, Mariana P. Bento
2024	J	`jnl`	Multi-stage semi-supervised learning enhances white matter hyperintensity segmentation. Frontiers Comput. Neurosci. Kauê T. N. Duarte, Abhijot S. Sidhu, Murilo Costa de Barros, David G. Gobbi, Cheryl R. McCreary, Feryal Saad, Richard Camicioli, Eric E. Smith, Mariana P. Bento, Richard Frayne
2024	J	`jnl`	Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems. CoRR Farzaneh Dehghani, Mahsa Dibaji, Fahim Anzum, Lily Dey, Alican Basdemir, Sayeh Bayat, Jean-Christophe Boucher, Steve Drew, Sarah Elaine Eaton, Richard Frayne, Gouri Ginde, Ashley D. Harris, Yani Ioannou, Catherine Lebel, John Lysack, Leslie Salgado Arzuaga, Emma A. M. Stanley, Roberto Souza, Ronnie de Souza Santos, Lana Wells, Tyler Williamson, Matthias Wilms, Zaman Wahid, Mark Ungrin, Marina L. Gavrilova, Mariana P. Bento
2023	—	`conf`	Default Mode Network Segregation Decreases in Healthy Brain Aging. SIPAIM Abhijot S. Sidhu, Talal H. Shahid, Kauê T. N. Duarte, Rachel J. Sharkey, Cheryl R. McCreary, Bradley G. Goodyear, Richard Frayne
2023	—	`conf`	Domain Adaptation of MRI Scanners as an Alternative to MRI Harmonization. DART@MICCAI Rafsanjany Kushol, Richard Frayne, Simon J. Graham, Alan H. Wilman, Sanjay Kalra, Yee-Hong Yang
2023	J	`jnl`	SF2Former: Amyotrophic Lateral Sclerosis Identification From Multi-center MRI Data Using Spatial and Frequency Fusion Transformer. CoRR 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
2023	J	`jnl`	SF2Former: Amyotrophic lateral sclerosis identification from multi-center MRI data using spatial and frequency fusion transformer. Comput. Medical Imaging Graph. 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
2023	J	`jnl`	Segmenting white matter hyperintensities in brain magnetic resonance images using convolution neural networks. Pattern Recognit. Lett. Kauê T. N. Duarte, David G. Gobbi, Abhijot S. Sidhu, Cheryl R. McCreary, Feryal Saad, Richard Camicioli, Eric E. Smith, Richard Frayne
2022	—	`conf`	Segmenting White Matter Hyperintensity in Alzheimer's Disease using U-Net CNNs. SIBGRAPI Kauê T. N. Duarte, David G. Gobbi, Abhijot S. Sidhu, Cheryl R. McCreary, Feryal Saad, Nita Das, Eric E. Smith, Richard Frayne
2022	J	`jnl`	Short-term repeatability and long-term reproducibility of quantitative MR imaging biomarkers in a single centre longitudinal study. NeuroImage Marina Salluzzi, Cheryl R. McCreary, David G. Gobbi, Michel Louis Lauzon, Richard Frayne
2021	J	`jnl`	Deep Learning in Large and Multi-Site Structural Brain MR Imaging Datasets. Frontiers Neuroinformatics Mariana P. Bento, Irene Fantini, Justin Park, Letícia Rittner, Richard Frayne
2020	—	`conf`	Detecting Alzheimer's Disease based on Structural Region Analysis using a 3D Shape Descriptor. SIBGRAPI Kauê T. N. Duarte, David G. Gobbi, Richard Frayne, Marco A. G. Carvalho
2020	J	`jnl`	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. Roberto Souza, Youssef Beauferris, Wallace Loos, Robert Marc Lebel, Richard Frayne
2020	J	`jnl`	Multi-channel MR Reconstruction (MC-MRRec) Challenge - Comparing Accelerated MR Reconstruction Models and Assessing Their Genereralizability to Datasets Collected with Different Coils. CoRR 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
2020	J	`jnl`	Restoration of Lossy JPEG-Compressed Brain MR Images Using Cross-Domain Neural Networks. IEEE Signal Process. Lett. Kevin J. Chung, Roberto Souza, Richard Frayne
2019	—	`conf`	A Hybrid Frequency-Domain/Image-Domain Deep Network for Magnetic Resonance Image Reconstruction. SIBGRAPI Roberto Souza, Richard Frayne
2019	—	`conf`	A Hybrid, Dual Domain, Cascade of Convolutional Neural Networks for Magnetic Resonance Image Reconstruction. MIDL Roberto Souza, R. Marc Lebel, Richard Frayne
2019	—	`conf`	Brain Extraction Network Trained with "Silver Standard" Data and Fine-Tuned with Manual Annotation for Improved Segmentation. SIBGRAPI Roberto Souza, Oeslle Lucena, Mariana P. Bento, Julia Garrafa, Letícia Rittner, Simone Appenzeller, Roberto A. Lotufo, Richard Frayne
2019	J	`jnl`	Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks. Artif. Intell. Medicine Oeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto A. Lotufo
2019	J	`jnl`	Dual-domain Cascade of U-nets for Multi-channel Magnetic Resonance Image Reconstruction. CoRR Roberto Souza, Mariana P. Bento, Nikita Nogovitsyn, Kevin J. Chung, R. Marc Lebel, Richard Frayne
2019	—	`conf`	Non-Binary Approaches for Classification of Amyloid Brain PET. ISMVL Katherine Zukotvnski, Vincent C. Gaudet, Phillip Kuo, Sabrina Adamo, Maged Goubran, Christian Bocti, Michael Borrie, Howard Chertkow, Richard Frayne, Robin Hsiung, Robert Laforce Jr., 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
2019	—	`conf`	Reliability of computer-aided diagnosis tools with multi-center MR datasets: impact of training protocol. Computer-Aided Diagnosis Mariana P. Bento, Roberto Souza, Marina Salluzzi, Richard Frayne
2018	J	`jnl`	A Hybrid Frequency-domain/Image-domain Deep Network for Magnetic Resonance Image Reconstruction. CoRR Roberto Souza, Richard Frayne
2018	J	`jnl`	An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement. NeuroImage Roberto Souza, Oeslle Lucena, Julia Garrafa, David G. Gobbi, Marina Salluzzi, Simone Appenzeller, Letícia Rittner, Richard Frayne, Roberto A. Lotufo
2018	—	`conf`	Common Carotid Artery Lumen Automatic Segmentation from Cine Fast Spin Echo Magnetic Resonance Imaging. SaMBa@MICCAI Lívia Rodrigues, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto A. Lotufo
2018	J	`jnl`	Convolutional Neural Networks for Skull-stripping in Brain MR Imaging using Consensus-based Silver standard Masks. CoRR Oeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto A. Lotufo
2018	—	`conf`	Multicenter Imaging Studies: Automated Approach to Evaluating Data Variability and the Role of Outliers. SIBGRAPI Mariana P. Bento, Roberto Souza, Richard Frayne
2018	—	`conf`	Normal Brain Aging: Prediction of Age, Sex and White Matter Hyperintensities Using a MR Image-Based Machine Learning Technique. ICIAR Mariana P. Bento, Roberto Souza, Marina Salluzzi, Richard Frayne
2018	—	`conf`	Reliability of using single specialist annotation for designing and evaluating automatic segmentation methods: A skull stripping case study. ISBI Roberto Souza, Oeslle Lucena, Mariana P. Bento, Julia Garrafa, Simone Appenzeller, Letícia Rittner, Roberto A. Lotufo, Richard Frayne
2018	—	`conf`	Silver standard masks for data augmentation applied to deep-learning-based skull-stripping. ISBI Oeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto A. Lotufo
2017	—	`conf`	Common Carotid Artery Lumen Segmentation from Cardiac Cycle-Resolved Cine Fast Spin Echo Magnetic Resonance Imaging. SIBGRAPI Lívia Rodrigues, Roberto Medeiros de Souza, Letícia Rittner, Richard Frayne, Roberto de Alencar Lotufo
2017	—	`conf`	Probabilistic Segmentation of Brain White Matter Lesions Using Texture-Based Classification. ICIAR Mariana P. Bento, Yan Sym, Richard Frayne, Roberto A. Lotufo, Letícia Rittner
2017	—	`conf`	WMH Segmentation Challenge: A Texture-Based Classification Approach. BrainLes@MICCAI Mariana P. Bento, Roberto Medeiros de Souza, Roberto A. Lotufo, Richard Frayne, Letícia Rittner
2016	—	`conf`	3D texture-based classification applied on brain white matter lesions on MR images. Computer-Aided Diagnosis Mariana Leite, David G. Gobbi, Marina Salluzzi, Richard Frayne, Roberto A. Lotufo, Letícia Rittner
2012	J	`jnl`	Semiautomated Multimodal Breast Image Registration. Int. J. Biomed. Imaging Charlotte Curtis, Richard Frayne, Elise C. Fear
2012	J	`jnl`	Using X-Ray Mammograms to Assist in Microwave Breast Image Interpretation. Int. J. Biomed. Imaging Charlotte Curtis, Richard Frayne, Elise C. Fear
2011	J	`jnl`	Algebraic T2 estimation improves detection of right temporal lobe epilepsy by MR T2 relaxometry. NeuroImage Robert K. Kosior, Michel Louis Lauzon, Paolo Federico, Richard Frayne
2010	J	`jnl`	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. Robert A. Brown, Michel Louis Lauzon, Richard Frayne
2006	J	`jnl`	Control of end-tidal PCO NeuroImage Ashley D. Harris, Kojiro Ide, Marc J. Poulin, Richard Frayne
2006	B	`conf`	Registration of knee joint surfaces for the in vivo study of joint injuries based on magnetic resonance imaging. Image Processing Rita W. T. Cheng, Ayman F. Habib, Richard Frayne, Janet Lenore Ronsky
2005	C	`conf`	Matching strategy for co-registration of surfaces acquired by magnetic resonance imaging. IGARSS Rita W. T. Cheng, Richard Frayne, Janet Lenore Ronsky, Ayman F. Habib
2003	B	`conf`	Impulse noise reduction in MR images using one rule-base merging method of fuzzy weighted mean filters. Image Processing Mohammad Sabati, Maitham Sabati, S. Abdolkarim Hosseini Ravandi, Richard Frayne
1998	J	`jnl`	Minimizing interference from magnetic resonance imagers during electrocardiography. IEEE Trans. Biomed. Eng. Michael K. Laudon, John G. Webster, Richard Frayne, Thomas M. Grist