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G. Bruce Pike
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All published works
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Title
Year
Authors
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Machine Learning-based Estimation of Respiratory Fluctuations in a Healthy Adult Population using BOLD fMRI and Head Motion Parameters
2024
Abdoljalil Addeh
Fernando Vega
Rebecca J. Williams
G. Bruce Pike
M. Ethan MacDonald
+
PDF
Chat
The Useful Side of Motion: Using Head Motion Parameters to Correct for Respiratory Confounds in BOLD fMRI
2024
Abdoljalil Addeh
G. Bruce Pike
M. Ethan MacDonald
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PDF
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Machine Learning-based Estimation of Respiratory Fluctuations in a Healthy Adult Population using BOLD fMRI and Head Motion Parameters
2024
Abdoljalil Addeh
Fernando Vega
Rebecca J. Williams
G. Bruce Pike
M. Ethan MacDonald
+
Plug-and-Play latent feature editing for orientation-adaptive quantitative susceptibility mapping neural networks
2024
Yang Gao
Zhuang Xiong
Shanshan Shan
Yin Liu
Pengfei Rong
Min Li
Alan H. Wilman
G. Bruce Pike
Feng Liu
Hongfu Sun
+
Optimization of acquisition parameters for cortical inhomogeneous magnetization transfer (ihMT) imaging using a rapid gradient echo readout
2023
Christopher D. Rowley
Jennifer S. W. Campbell
Ilana R. Leppert
Mark C. Nelson
G. Bruce Pike
Christine Tardif
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Dual-encoded magnetization transfer and diffusion imaging and its application to tract-specific microstructure mapping
2023
Ilana R. Leppert
Pietro Bontempi
Christopher D. Rowley
Jennifer S. W. Campbell
Mark C. Nelson
Simona Schiavi
G. Bruce Pike
Alessandro Daducci
Christine Tardif
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Using BOLD-fMRI to Compute the Respiration Volume per Time (RTV) and Respiration Variation (RV) with Convolutional Neural Networks (CNN) in the Human Connectome Development Cohort
2023
Abdoljalil Addeh
Fernando Vega
Rebecca J. Williams
Ali Golestani
G. Bruce Pike
M. Ethan MacDonald
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Correcting for T1 bias in Magnetization Transfer Saturation (MTsat) Maps Using Sparse-MP2RAGE
2023
Christopher D. Rowley
Mark C. Nelson
Jennifer S. W. Campbell
Ilana R. Leppert
G. Bruce Pike
Christine Tardif
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Plug-and-Play Latent Feature Editing for Orientation-Adaptive Quantitative Susceptibility Mapping Neural Networks
2023
Yang Gao
Zhuang Xiong
Shanshan Shan
Yin Liu
Pengfei Rong
Min Li
Alan H. Wilman
G. Bruce Pike
Feng Liu
Hongfu Sun
+
Instant tissue field and magnetic susceptibility mapping from MRI raw phase using Laplacian enhanced deep neural networks
2022
Yang Gao
Zhuang Xiong
Amir Fazlollahi
Peter J. Nestor
Viktor Vegh
Fatima A. Nasrallah
Craig Winter
G. Bruce Pike
Stuart Crozier
Feng Liu
+
Instant tissue field and magnetic susceptibility mapping from MR raw phase using Laplacian enabled deep neural networks
2021
Yang Gao
Zhuang Xiong
Amir Fazlollahi
Peter J. Nestor
Viktor Vegh
Fatima A. Nasrallah
Craig Winter
G. Bruce Pike
Stuart Crozier
Feng Liu
+
Instant magnetic tissue field and susceptibility mapping from MR raw phase using Laplacian enabled deep neural networks
2021
Yang Gao
Zhuang Xiong
Amir Fazlollahi
Peter J. Nestor
Viktor Vegh
Fatima A. Nasrallah
Craig Winter
G. Bruce Pike
Stuart Crozier
Feng Liu
+
Accelerating quantitative susceptibility and R2* mapping using incoherent undersampling and deep neural network reconstruction
2021
Yang Gao
Martijn A. Cloos
Feng Liu
Stuart Crozier
G. Bruce Pike
Hongfu Sun
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PDF
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1q21.1 distal copy number variants are associated with cerebral and cognitive alterations in humans
2021
Ida E. Sønderby
Dennis van der Meer
Clara Moreau
Tobias Kaufmann
G. Bragi Walters
Maria Ellegaard
Abdel Abdellaoui
David Ames
Katrin Amunts
Micael Andersson
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1q21.1 distal copy number variants are associated with cerebral and cognitive alterations in humans
2021
Ida E. Sønderby
Dennis van der Meer
Clara Moreau
Tobias Kaufmann
G. Bragi Walters
Maria Ellegaard
Abdel Abdellaoui
David Ames
Katrin Amunts
Micael Andersson
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PDF
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xQSM: quantitative susceptibility mapping with octave convolutional and noise‐regularized neural networks
2020
Yang Gao
Xuanyu Zhu
Bradford A. Moffat
Rebecca Glarin
Alan H. Wilman
G. Bruce Pike
Stuart Crozier
Feng Liu
Hongfu Sun
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Altruism and anxiety: Engagement with online community support initiatives (OCSIs) during Covid-19 lockdown in the UK and Ireland
2020
Camilla Elphick
Avelie Stuart
Richard Philpot
Zoë Walkington
Lara A. Frumkin
Min Zhang
Mark Levine
Blaine Price
G. Bruce Pike
Bashar Nuseibeh
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PDF
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Promise and pitfalls of g-ratio estimation with MRI
2017
Jennifer S. W. Campbell
Ilana R. Leppert
Sridar Narayanan
Mathieu Boudreau
Tanguy Duval
Julien Cohen‐Adad
G. Bruce Pike
Nikola Stikov
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Solvable Groups, Free Divisors and Nonisolated Matrix Singularities I: Towers of Free Divisors
2015
James Damon
G. Bruce Pike
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PDF
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Solvable groups, free divisors and nonisolated matrix singularities II: Vanishing topology
2014
James Damon
G. Bruce Pike
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On Fitting ideals of logarithmic vector fields and Saito's criterion
2013
G. Bruce Pike
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PDF
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Solvable group representations and free divisors whose complements are K(π, 1)‘S
2012
James Damon
G. Bruce Pike
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Solvable Groups, Free Divisors and Nonisolated Matrix Singularities I: Towers of Free Divisors
2012
James Damon
G. Bruce Pike
+
PDF
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Automated Analysis of Craniofacial Morphology Using Magnetic Resonance Images
2011
M. Mallar Chakravarty
Rosanne Aleong
Gabriel Leonard
Michel Perron
G. Bruce Pike
Louis Richer
Suzanne Veillette
Zdenka Pausová
Tomáš Paus
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Modeling g-ratio measurements in demyelinating diseases
2011
Nikola Stikov
Bragi Sveinsson
Christine Tardif
Robert F. Dougherty
G. Bruce Pike
Common Coauthors
Coauthor
Papers Together
Yang Gao
7
Hongfu Sun
7
Feng Liu
7
Zhuang Xiong
5
Stuart Crozier
5
M. Ethan MacDonald
4
Christine Tardif
4
Abdoljalil Addeh
4
Ilana R. Leppert
4
Jennifer S. W. Campbell
4
James Damon
4
Mark C. Nelson
3
Fernando Vega
3
Tomáš Paus
3
Zdenka Pausová
3
Amir Fazlollahi
3
Peter J. Nestor
3
Fatima A. Nasrallah
3
Craig Winter
3
Viktor Vegh
3
Alan H. Wilman
3
Christopher D. Rowley
3
Rebecca J. Williams
3
Else Eising
2
Claudia Modenato
2
Jouke‐Jan Hottenga
2
Jennifer Monereo Sánchez
2
Jérémy Hall
2
Nicholas G. Martin
2
John Blangero
2
Sarah E. Medland
2
Ikuo Suzuki
2
Ana Isabel Silva
2
Hilleke E. Hulshoff Pol
2
Sylvane Desrivières
2
Robin Bülow
2
Clara Moreau
2
Bogdan Draganski
2
Henry Brodaty
2
Katrin Amunts
2
Hreinn Stefánsson
2
Ole A. Andreassen
2
Per Hoffmann
2
Roel A. Ophoff
2
Nicholas B. Blackburn
2
Céline S. Reinbold
2
Neda Jahanshad
2
Loes M. Olde Loohuis
2
Allan F. McRae
2
Lars T. Westlye
2
Commonly Cited References
Action
Title
Year
Authors
# of times referenced
+
QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with increased receptive field
2019
Yicheng Chen
Angela Jakary
Sivakami Avadiappan
Christopher P. Hess
Janine M. Lupo
6
+
Exploring linearity of deep neural network trained QSM: QSMnet+
2020
Woojin Jung
Jaeyeon Yoon
Sooyeon Ji
Joon Yul Choi
Jae Myung Kim
Yoonho Nam
Eung Yeop Kim
Jongho Lee
6
+
PDF
Chat
Quantitative susceptibility mapping using deep neural network: QSMnet
2018
Jaeyeon Yoon
Enhao Gong
Itthi Chatnuntawech
Berkin Bilgic̦
Jin‐Gu Lee
Woojin Jung
Jingyu Ko
Hosan Jung
Kawin Setsompop
Greg Zaharchuk
6
+
PDF
Chat
Deep Residual Learning for Image Recognition
2016
Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
5
+
Learning-based single-step quantitative susceptibility mapping reconstruction without brain extraction
2019
Hongjiang Wei
Steven Cao
Yuyao Zhang
Xiaojun Guan
Fuhua Yan
Kristen W. Yeom
Chunlei Liu
5
+
PDF
Chat
xQSM: quantitative susceptibility mapping with octave convolutional and noise‐regularized neural networks
2020
Yang Gao
Xuanyu Zhu
Bradford A. Moffat
Rebecca Glarin
Alan H. Wilman
G. Bruce Pike
Stuart Crozier
Feng Liu
Hongfu Sun
4
+
Learned Proximal Networks for Quantitative Susceptibility Mapping
2020
Kuo-Wei Lai
Manisha Aggarwal
Peter C.M. van Zijl
Xu Li
Jeremias Sulam
4
+
PDF
Chat
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
2016
Jiwon Kim
Jung Kwon Lee
Kyoung Mu Lee
4
+
PDF
Chat
Deep Convolutional Neural Network for Inverse Problems in Imaging
2017
Kyong Hwan Jin
Michael T. McCann
Emmanuel Froustey
Michaël Unser
3
+
PDF
Chat
Overview of quantitative susceptibility mapping using deep learning: Current status, challenges and opportunities
2020
Woojin Jung
Steffen Bollmann
Jongho Lee
3
+
MoDL-QSM: Model-based deep learning for quantitative susceptibility mapping
2021
Ruimin Feng
Jiayi Zhao
He Wang
Baofeng Yang
Jie Feng
Yuting Shi
Ming Zhang
Chunlei Liu
Yuyao Zhang
Jie Zhuang
3
+
PDF
Chat
${k}$ -Space Deep Learning for Accelerated MRI
2019
Yoseob Han
Leonard Sunwoo
Jong Chul Ye
2
+
PDF
Chat
MoDL: Model-Based Deep Learning Architecture for Inverse Problems
2018
Hemant Kumar Aggarwal
Merry Mani
Mathews Jacob
2
+
Sigmoid-weighted linear units for neural network function approximation in reinforcement learning
2018
Stefan Elfwing
Eiji Uchibe
Kenji Doya
2
+
PDF
Chat
Image reconstruction by domain-transform manifold learning
2018
Bo Zhu
Jeremiah Zhe Liu
Stephen Cauley
Bruce R. Rosen
Matthew S. Rosen
2
+
PDF
Chat
Convolutional Neural Networks for Inverse Problems in Imaging: A Review
2017
Michael T. McCann
Kyong Hwan Jin
Michaël Unser
2
+
BFRnet: A deep learning-based MR background field removal method for QSM of the brain containing significant pathological susceptibility sources
2022
Xuanyu Zhu
Yang Gao
Feng Liu
Stuart Crozier
Hongfu Sun
2
+
Instant tissue field and magnetic susceptibility mapping from MRI raw phase using Laplacian enhanced deep neural networks
2022
Yang Gao
Zhuang Xiong
Amir Fazlollahi
Peter J. Nestor
Viktor Vegh
Fatima A. Nasrallah
Craig Winter
G. Bruce Pike
Stuart Crozier
Feng Liu
2
+
Affine transformation edited and refined deep neural network for quantitative susceptibility mapping
2022
Zhuang Xiong
Yang Gao
Feng Liu
Hongfu Sun
2
+
PDF
Chat
ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing
2018
Jian Zhang
Bernard Ghanem
2
+
Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning
2019
Saiprasad Ravishankar
Jong Chul Ye
Jeffrey A. Fessler
2
+
Frontonasal dysmorphology in bipolar disorder by 3D laser surface imaging and geometric morphometrics: Comparisons with schizophrenia
2010
Robin J. Hennessy
Patrizia A. Baldwin
David Browne
Anthony Kinsella
John L. Waddington
1
+
PDF
Chat
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
2017
Kai Zhang
Wangmeng Zuo
Yunjin Chen
Deyu Meng
Lei Zhang
1
+
Mapping orientational and microstructural metrics of neuronal integrity with in vivo diffusion MRI
2016
Dmitry S. Novikov
Jelle Veraart
Ileana Jelescu
Els Fieremans
1
+
PDF
Chat
Aggregated Residual Transformations for Deep Neural Networks
2017
Saining Xie
Ross Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
1
+
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction
2017
Jo Schlemper
José Caballero
Joseph V. Hajnal
Anthony N. Price
Daniel Rueckert
1
+
Learning a variational network for reconstruction of accelerated MRI data
2017
Kerstin Hammernik
Teresa Klatzer
Erich Kobler
Michael P. Recht
Daniel K. Sodickson
Thomas Pock
Florian Knöll
1
+
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
2019
Yunpeng Chen
Haoqi Fan
Bing Xu
Zhicheng Yan
Yannis Kalantidis
Marcus Rohrbach
Shuicheng Yan
Jiashi Feng
1
+
PDF
Chat
Better than real: Complex-valued neural nets for MRI fingerprinting
2017
Patrick Virtue
Stella X. Yu
Michael Lustig
1
+
Compressive Sampling Using Annihilating Filter-Based Low-Rank Interpolation
2016
Jong Chul Ye
Jong Min Kim
Kyong Hwan Jin
Kiryung Lee
1
+
PDF
Chat
Random walks with barriers
2011
Dmitry S. Novikov
Els Fieremans
Jens H. Jensen
Joseph A. Helpern
1
+
PDF
Chat
Deep Residual Learning for Accelerated MRI Using Magnitude and Phase Networks
2018
Dongwook Lee
Jaejun Yoo
Sungho Tak
Jong Chul Ye
1
+
PDF
Chat
Deep learning with domain adaptation for accelerated projection‐reconstruction MR
2018
Yoseob Han
Jaejun Yoo
Hak Hee Kim
Hee Jung Shin
Kyunghyun Sung
Jong Chul Ye
1
+
PDF
Chat
Wasserstein GANs for MR Imaging: From Paired to Unpaired Training
2020
Lei Ke
Morteza Mardani
John M. Pauly
Shreyas Vasanawala
1
+
PDF
Chat
A Dilated Inception Network for Visual Saliency Prediction
2019
Sheng Yang
Guosheng Lin
Qiuping Jiang
Weisi Lin
1
+
PDF
Chat
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave Convolution
2019
Yunpeng Chen
Haoqi Fan
Bing Xu
Zhicheng Yan
Yannis Kalantidis
Marcus Rohrbach
Yan Shuicheng
Jiashi Feng
1
+
PDF
Chat
DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution
2020
Shanshan Wang
Huitao Cheng
Leslie Ying
Taohui Xiao
Ziwen Ke
Hairong Zheng
Dong Liang
1
+
Deep learning for undersampled MRI reconstruction
2018
Chang Min Hyun
Hwa Pyung Kim
Sung Min Lee
Sung Chul Lee
Jin Keun Seo
1
+
Voxel-Based Morphometry
2007
John Ashburner
Karl J. Friston
1
+
Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review
2022
Fan Zhang
Alessandro Daducci
Yong He
Simona Schiavi
Caio Seguin
Robert E. Smith
Chun‐Hung Yeh
Tengda Zhao
Lauren J. O’Donnell
1
+
Quantitative Susceptibility Mapping through Model-based Deep Image Prior (MoDIP)
2023
Zhuang Xiong
Yang Gao
Yin Liu
Amir Fazlollahi
Peter J. Nestor
Feng Liu
Hongfu Sun
1
+
Quantitative susceptibility mapping through model-based deep image prior (MoDIP)
2024
Zhuang Xiong
Yang Gao
Yin Liu
Amir Fazlollahi
Peter J. Nestor
Feng Liu
Hongfu Sun
1
+
PDF
Chat
General phase regularized reconstruction using phase cycling
2017
Frank Ong
Joseph Y. Cheng
Michael Lustig
1
+
Structural and radiometric asymmetry in brain images
2003
Sarang Joshi
Peter Lorenzen
Guido Gerig
Elizabeth Bullitt
1
+
“Voxel-Based Morphometry” Should Not Be Used with Imperfectly Registered Images
2001
Fred L. Bookstein
1
+
Evolution of middle-late Pleistocene human cranio-facial form: A 3-D approach
2010
Katerina Harvati
Jean‐Jacques Hublin
Philipp Gunz
1
+
Biometrics, biomathematics and the morphometric synthesis
1996
Fred L. Bookstein
1
+
3D morphometrics of craniofacial dysmorphology reveals sex-specific asymmetries in schizophrenia
2003
Robin J. Hennessy
Abbie Lane
Anthony Kinsella
Conall Larkin
Eadbhard O’Callaghan
John L. Waddington
1
+
3D laser surface scanning and geometric morphometric analysis of craniofacial shape as an index of cerebro-craniofacial morphogenesis: initial application to sexual dimorphism
2002
Robin J. Hennessy
Anthony Kinsella
John L. Waddington
1
+
PDF
Chat
Multidimensional Compressed Sensing MRI Using Tensor Decomposition-Based Sparsifying Transform
2014
Yeyang Yu
Jin Jin
Feng Liu
Stuart Crozier
1