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2020 – today
- 2024
[j15]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:
Multi-stage semi-supervised learning enhances white matter hyperintensity segmentation. Frontiers Comput. Neurosci. 18 (2024)- [i6]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 Harris, Yani Ioannou, Catherine Lebel, John Lysack, Leslie Salgado Arzuaga, Emma Stanley, Roberto Souza, Ronnie Souza, Lana Wells, Tyler Williamson, Matthias Wilms, Zaman Wahid, Mark Ungrin, Marina Gavrilova, Mariana P. Bento:
Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems. CoRR abs/2408.15550 (2024) - 2023
- [j14]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: 102279 (2023) - [j13]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: 90-94 (2023) - [c21]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: 1-11 - [c20]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: 1-4 - [i5]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. CoRR abs/2302.10859 (2023) - 2022
- [j12]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: 119488 (2022) - [c19]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: 109-114 - 2021
- [j11]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: 805669 (2021) - 2020
- [j10]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): 1126-1136 (2020) - [j9]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: 141-145 (2020) - [c18]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: 180-187 - [i4]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 abs/2011.07952 (2020)
2010 – 2019
- 2019
- [j8]Oeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto A. Lotufo:
Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks. Artif. Intell. Medicine 98: 48-58 (2019) - [c17]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:
Non-Binary Approaches for Classification of Amyloid Brain PET. ISMVL 2019: 206-211 - [c16]Mariana P. Bento, Roberto Souza, Marina Salluzzi, Richard Frayne:
Reliability of computer-aided diagnosis tools with multi-center MR datasets: impact of training protocol. Computer-Aided Diagnosis 2019: 1095008 - [c15]Roberto Souza, R. Marc Lebel, Richard Frayne:
A Hybrid, Dual Domain, Cascade of Convolutional Neural Networks for Magnetic Resonance Image Reconstruction. MIDL 2019: 437-446 - [c14]Roberto Souza, Oeslle Lucena, Mariana P. Bento, Julia Garrafa, Letícia Rittner, Simone Appenzeller, Roberto A. Lotufo, Richard Frayne:
Brain Extraction Network Trained with "Silver Standard" Data and Fine-Tuned with Manual Annotation for Improved Segmentation. SIBGRAPI 2019: 234-240 - [c13]Roberto Souza, Richard Frayne:
A Hybrid Frequency-Domain/Image-Domain Deep Network for Magnetic Resonance Image Reconstruction. SIBGRAPI 2019: 257-264 - [i3]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 abs/1911.01458 (2019) - 2018
- [j7]Roberto Souza, Oeslle Lucena, Julia Garrafa, David G. Gobbi, Marina Salluzzi, Simone Appenzeller, Letícia Rittner, Richard Frayne, Roberto A. Lotufo:
An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement. NeuroImage 170: 482-494 (2018) - [c12]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: 538-545 - [c11]Oeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto A. Lotufo:
Silver standard masks for data augmentation applied to deep-learning-based skull-stripping. ISBI 2018: 1114-1117 - [c10]Roberto Souza, Oeslle Lucena, Mariana P. Bento, Julia Garrafa, Simone Appenzeller, Letícia Rittner, Roberto A. Lotufo, Richard Frayne:
Reliability of using single specialist annotation for designing and evaluating automatic segmentation methods: A skull stripping case study. ISBI 2018: 1344-1347 - [c9]Lívia Rodrigues, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto A. Lotufo:
Common Carotid Artery Lumen Automatic Segmentation from Cine Fast Spin Echo Magnetic Resonance Imaging. SaMBa@MICCAI 2018: 16-24 - [c8]Mariana P. Bento, Roberto Souza, Richard Frayne:
Multicenter Imaging Studies: Automated Approach to Evaluating Data Variability and the Role of Outliers. SIBGRAPI 2018: 182-188 - [i2]Oeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto A. Lotufo:
Convolutional Neural Networks for Skull-stripping in Brain MR Imaging using Consensus-based Silver standard Masks. CoRR abs/1804.04988 (2018) - [i1]Roberto Souza, Richard Frayne:
A Hybrid Frequency-domain/Image-domain Deep Network for Magnetic Resonance Image Reconstruction. CoRR abs/1810.12473 (2018) - 2017
- [c7]Mariana P. Bento, Yan Sym, Richard Frayne, Roberto A. Lotufo, Letícia Rittner:
Probabilistic Segmentation of Brain White Matter Lesions Using Texture-Based Classification. ICIAR 2017: 71-78 - [c6]Mariana P. Bento, Roberto Medeiros de Souza, Roberto A. Lotufo, Richard Frayne, Letícia Rittner:
WMH Segmentation Challenge: A Texture-Based Classification Approach. BrainLes@MICCAI 2017: 489-500 - [c5]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: 442-449 - 2016
- [c4]Mariana Leite, David G. Gobbi, Marina Salluzzi, Richard Frayne, Roberto A. Lotufo, Letícia Rittner:
3D texture-based classification applied on brain white matter lesions on MR images. Computer-Aided Diagnosis 2016: 97852N - 2012
- [j6]Charlotte Curtis, Richard Frayne, Elise C. Fear:
Using X-Ray Mammograms to Assist in Microwave Breast Image Interpretation. Int. J. Biomed. Imaging 2012: 235380:1-235380:11 (2012) - [j5]Charlotte Curtis, Richard Frayne, Elise C. Fear:
Semiautomated Multimodal Breast Image Registration. Int. J. Biomed. Imaging 2012: 890830:1-890830:14 (2012) - 2011
- [j4]Robert K. Kosior, Michel Louis Lauzon, Paolo Federico, Richard Frayne:
Algebraic T2 estimation improves detection of right temporal lobe epilepsy by MR T2 relaxometry. NeuroImage 58(1): 189-197 (2011) - 2010
- [j3]Robert A. Brown, Michel 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): 281-290 (2010)
2000 – 2009
- 2006
- [j2]Ashley D. Harris, Kojiro Ide, Marc J. Poulin, Richard Frayne:
Control of end-tidal PCO2 reduces middle cerebral artery blood velocity variability: Implications for physiological neuroimaging. NeuroImage 29(4): 1272-1277 (2006) - [c3]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. Image Processing 2006: 61442W - 2005
- [c2]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: 3545-3548 - 2003
- [c1]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. Image Processing 2003
1990 – 1999
- 1998
- [j1]Michael K. Laudon, John G. Webster, Richard Frayne, Thomas M. Grist:
Minimizing interference from magnetic resonance imagers during electrocardiography. IEEE Trans. Biomed. Eng. 45(2): 160-164 (1998)
Coauthor Index
aka: Roberto de Alencar Lotufo
aka: Roberto Medeiros de Souza
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last updated on 2024-11-28 21:28 CET by the dblp team
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