Richard Frayne

Orcid: 0000-0003-0358-1210

According to our database1, Richard Frayne authored at least 37 papers between 2003 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Segmenting white matter hyperintensities in brain magnetic resonance images using convolution neural networks.
Pattern Recognit. Lett., November, 2023

SF2Former: Amyotrophic lateral sclerosis identification from multi-center MRI data using spatial and frequency fusion transformer.
Comput. Medical Imaging Graph., September, 2023

Default Mode Network Segregation Decreases in Healthy Brain Aging.
Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

Domain Adaptation of MRI Scanners as an Alternative to MRI Harmonization.
Proceedings of the Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, 2023

2022
Short-term repeatability and long-term reproducibility of quantitative MR imaging biomarkers in a single centre longitudinal study.
NeuroImage, 2022

Segmenting White Matter Hyperintensity in Alzheimer's Disease using U-Net CNNs.
Proceedings of the 35th SIBGRAPI Conference on Graphics, Patterns and Images, 2022

2021
Deep Learning in Large and Multi-Site Structural Brain MR Imaging Datasets.
Frontiers Neuroinformatics, 2021

2020
Restoration of Lossy JPEG-Compressed Brain MR Images Using Cross-Domain Neural Networks.
IEEE Signal Process. Lett., 2020

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., 2020

Multi-channel MR Reconstruction (MC-MRRec) Challenge - Comparing Accelerated MR Reconstruction Models and Assessing Their Genereralizability to Datasets Collected with Different Coils.
CoRR, 2020

Detecting Alzheimer's Disease based on Structural Region Analysis using a 3D Shape Descriptor.
Proceedings of the 33rd SIBGRAPI Conference on Graphics, Patterns and Images, 2020

2019
Dual-domain Cascade of U-nets for Multi-channel Magnetic Resonance Image Reconstruction.
CoRR, 2019

Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks.
Artif. Intell. Medicine, 2019

Brain Extraction Network Trained with "Silver Standard" Data and Fine-Tuned with Manual Annotation for Improved Segmentation.
Proceedings of the 32nd SIBGRAPI Conference on Graphics, Patterns and Images, 2019

A Hybrid Frequency-Domain/Image-Domain Deep Network for Magnetic Resonance Image Reconstruction.
Proceedings of the 32nd SIBGRAPI Conference on Graphics, Patterns and Images, 2019

A Hybrid, Dual Domain, Cascade of Convolutional Neural Networks for Magnetic Resonance Image Reconstruction.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

Reliability of computer-aided diagnosis tools with multi-center MR datasets: impact of training protocol.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019


2018
An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement.
NeuroImage, 2018

Convolutional Neural Networks for Skull-stripping in Brain MR Imaging using Consensus-based Silver standard Masks.
CoRR, 2018

Multicenter Imaging Studies: Automated Approach to Evaluating Data Variability and the Role of Outliers.
Proceedings of the 31st SIBGRAPI Conference on Graphics, Patterns and Images, 2018

Common Carotid Artery Lumen Automatic Segmentation from Cine Fast Spin Echo Magnetic Resonance Imaging.
Proceedings of the Processing and Analysis of Biomedical Information, 2018

Reliability of using single specialist annotation for designing and evaluating automatic segmentation methods: A skull stripping case study.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Silver standard masks for data augmentation applied to deep-learning-based skull-stripping.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Normal Brain Aging: Prediction of Age, Sex and White Matter Hyperintensities Using a MR Image-Based Machine Learning Technique.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

2017
Common Carotid Artery Lumen Segmentation from Cardiac Cycle-Resolved Cine Fast Spin Echo Magnetic Resonance Imaging.
Proceedings of the 30th SIBGRAPI Conference on Graphics, Patterns and Images, 2017

WMH Segmentation Challenge: A Texture-Based Classification Approach.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

Probabilistic Segmentation of Brain White Matter Lesions Using Texture-Based Classification.
Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017

2016
3D texture-based classification applied on brain white matter lesions on MR images.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

2012
Using X-Ray Mammograms to Assist in Microwave Breast Image Interpretation.
Int. J. Biomed. Imaging, 2012

Semiautomated Multimodal Breast Image Registration.
Int. J. Biomed. Imaging, 2012

2011
Algebraic T2 estimation improves detection of right temporal lobe epilepsy by MR T2 relaxometry.
NeuroImage, 2011

2010
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., 2010

2006
Control of end-tidal PCO<sub>2</sub> reduces middle cerebral artery blood velocity variability: Implications for physiological neuroimaging.
NeuroImage, 2006

Registration of knee joint surfaces for the in vivo study of joint injuries based on magnetic resonance imaging.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

2005
Matching strategy for co-registration of surfaces acquired by magnetic resonance imaging.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005

2003
Impulse noise reduction in MR images using one rule-base merging method of fuzzy weighted mean filters.
Proceedings of the Medical Imaging 2003: Image Processing, 2003


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