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BIRNet: Brain image registration using dual-supervised fully convolutional networks

Medical image analysis, 2019-05, Vol.54, p.193-206

2019

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Information Processing in Medical Imaging: 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings

1, 2017

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Prediction of Alzheimer's disease and mild cognitive impairment using cortical morphological patterns

Human brain mapping, 2013-12, Vol.34 (12), p.3411-3425

2013

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Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images

Medical image analysis, 2021-05, Vol.70, p.101918-101918, Article 101918

2021

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LRTV: MR Image Super-Resolution With Low-Rank and Total Variation Regularizations

IEEE transactions on medical imaging, 2015-12, Vol.34 (12), p.2459-2466

2015

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A toolbox for brain network construction and classification (BrainNetClass)

Human brain mapping, 2020-07, Vol.41 (10), p.2808-2826

2020

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Multi-Atlas Segmentation of MR Tumor Brain Images Using Low-Rank Based Image Recovery

IEEE transactions on medical imaging, 2018-10, Vol.37 (10), p.2224-2235

2018

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Accumulation of network redundancy marks the early stage of Alzheimer's disease

Human brain mapping, 2023-06, Vol.44 (8), p.2993-3006

2023

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Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification

Medical image analysis, 2021-07, Vol.71, p.102076-102076, Article 102076

2021

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Image Analysis Using Hahn Moments

IEEE transactions on pattern analysis and machine intelligence, 2007-11, Vol.29 (11), p.2057-2062

2007

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Deep Multi-Scale Mesh Feature Learning for Automated Labeling of Raw Dental Surfaces From 3D Intraoral Scanners

IEEE transactions on medical imaging, 2020-07, Vol.39 (7), p.2440-2450

2020

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Computational neuroanatomy of baby brains: A review

NeuroImage (Orlando, Fla.), 2019-01, Vol.185, p.906-925

2019

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Large‐scale dynamic causal modeling of major depressive disorder based on resting‐state functional magnetic resonance imaging

Human brain mapping, 2020-03, Vol.41 (4), p.865-881

2020

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Sparse temporally dynamic resting-state functional connectivity networks for early MCI identification

Brain imaging and behavior, 2016-06, Vol.10 (2), p.342-356

2016

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Two-Dimensional Polar Harmonic Transforms for Invariant Image Representation

IEEE transactions on pattern analysis and machine intelligence, 2010-07, Vol.32 (7), p.1259-1270

2010

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From descriptive connectome to mechanistic connectome: Generative modeling in functional magnetic resonance imaging analysis

Frontiers in human neuroscience, 2022-08, Vol.16, p.940842-940842

2022

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Infant brain atlases from neonates to 1- and 2-year-olds

PloS one, 2011-04, Vol.6 (4), p.e18746-e18746

2011

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Special issue on machine learning and deep learning in magnetic resonance

NMR in biomedicine, 2022-04, Vol.35 (4), p.e4713-n/a

2022

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Organ-aware CBCT enhancement via dual path learning for prostate cancer treatment

Medical physics (Lancaster), 2023-11, Vol.50 (11), p.6931-6942

2023

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A multimodal submillimeter MRI atlas of the human cerebellum

Scientific reports, 2024-03, Vol.14 (1), p.5622-5622, Article 5622

2024

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Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification

Medical image analysis, 2019-02, Vol.52, p.80-96

2019

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Identification of infants at high-risk for autism spectrum disorder using multiparameter multiscale white matter connectivity networks

Human brain mapping, 2015-12, Vol.36 (12), p.4880-4896

2015

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Functional MRI registration with tissue‐specific patch‐based functional correlation tensors

Human brain mapping, 2018-06, Vol.39 (6), p.2303-2316

2018

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Development trends of white matter connectivity in the first years of life

PloS one, 2011-09, Vol.6 (9), p.e24678-e24678

2011

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Diagnosis of Autism Spectrum Disorders Using Temporally Distinct Resting‐State Functional Connectivity Networks

CNS neuroscience & therapeutics, 2016-03, Vol.22 (3), p.212-219

2016

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BIRNet: Brain image registration using dual-supervised fully convolutional networks

Information Processing in Medical Imaging: 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings

Prediction of Alzheimer's disease and mild cognitive impairment using cortical morphological patterns

Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images

LRTV: MR Image Super-Resolution With Low-Rank and Total Variation Regularizations

A toolbox for brain network construction and classification (BrainNetClass)

Multi-Atlas Segmentation of MR Tumor Brain Images Using Low-Rank Based Image Recovery

Accumulation of network redundancy marks the early stage of Alzheimer's disease

Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification

Image Analysis Using Hahn Moments

Deep Multi-Scale Mesh Feature Learning for Automated Labeling of Raw Dental Surfaces From 3D Intraoral Scanners

Computational neuroanatomy of baby brains: A review

Large‐scale dynamic causal modeling of major depressive disorder based on resting‐state functional magnetic resonance imaging

Sparse temporally dynamic resting-state functional connectivity networks for early MCI identification

Two-Dimensional Polar Harmonic Transforms for Invariant Image Representation

From descriptive connectome to mechanistic connectome: Generative modeling in functional magnetic resonance imaging analysis

Infant brain atlases from neonates to 1- and 2-year-olds

Special issue on machine learning and deep learning in magnetic resonance

Organ-aware CBCT enhancement via dual path learning for prostate cancer treatment

A multimodal submillimeter MRI atlas of the human cerebellum

Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification

Identification of infants at high-risk for autism spectrum disorder using multiparameter multiscale white matter connectivity networks

Functional MRI registration with tissue‐specific patch‐based functional correlation tensors

Development trends of white matter connectivity in the first years of life

Diagnosis of Autism Spectrum Disorders Using Temporally Distinct Resting‐State Functional Connectivity Networks

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