Yong Fan

发表

Local label learning (LLL) for subcortical structure segmentation: Application to hippocampus segmentation

Tianzi Jiang, Yongfu Hao, Tianyao Wang, 2014, Human brain mapping.

Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan

Christos Davatzikos, Sterling C. Johnson, Ilya M. Nasrallah, 2019, NeuroImage.

Shape-constrained multi-atlas based segmentation with multichannel registration

Tianzi Jiang, Yongfu Hao, Yong Fan, 2012, Medical Imaging.

Modeling the yaw dynamics of an unmanned helicopter through modes partition method

Jihong Zhu, Yong Fan, Guanlin Wang, 2012 .

Matching Functional Connectivity Patterns for Spatial Correspondence Detection in fMRI Registration

Di Jiang, Yong Fan, Hongming Li, 2013, AE-CAI.

Groupwise spatial normalization of fMRI data based on multi-range functional connectivity patterns

Di Jiang, Tianzi Jiang, Yuhui Du, 2013, NeuroImage.

Interpretable, highly accurate brain decoding of subtly distinct brain states from functional MRI using intrinsic functional networks and long short-term memory recurrent neural networks

Yong Fan, Hongming Li, Yong Fan, 2019, NeuroImage.

fMRI alignment based on local functional connectivity patterns

Di Jiang, Tianzi Jiang, Yuhui Du, 2012, Medical Imaging.

The optimization research of formation control for multiple mobile robots

Zhiqiang Cao, Min Tan, Bin Zhang, 2002, Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527).

Individualized Functional Parcellation of the Human Amygdala Using a Semi-supervised Clustering Method: A 7T Resting State fMRI Study

Yong Fan, Bo Wang, Lin Chen, 2018, Front. Neurosci..

Intrinsic functional connectivity pattern-based brain parcellation using normalized cut

Yong Fan, Dandan Song, Hong Wu, 2012, Medical Imaging.

Identification of Temporal Transition of Functional States Using Recurrent Neural Networks from Functional MRI

Yong Fan, Hongming Li, Yong Fan, 2018, MICCAI.

Individualized brain parcellation with integrated funcitonal and morphological information

Yong Fan, Hongming Li, Yong Fan, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Spatial alignment of human cortex by matching hierarchical patterns of functional connectivity

Yong Fan, Hongming Li, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Large-scale sparse functional networks from resting state fMRI

Yong Fan, Theodore D. Satterthwaite, Hongming Li, 2017, NeuroImage.

On the accelerated Richardson method (ARM) for solving positive definite linear systems

David J. Evans, Tianzi Jiang, Yong Fan, 2002, Neural Parallel Sci. Comput..

Image registration based on dynamic directed graphs with groupwise image similarity

Di Jiang, Yong Fan, Zhenyu Tang, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Groupwise fMRI registration using multi-range functional connectivity patterns

Di Jiang, Tianzi Jiang, Yong Fan, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Improving Diagnosis of Autism Spectrum Disorder and Disentangling its Heterogeneous Functional Connectivity Patterns Using Capsule Networks

Yong Fan, Hongming Li, Zhicheng Jiao, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

A parallel genetic algorithm for cell image segmentation

David J. Evans, Tianzi Jiang, Yong Fan, 2001, Electron. Notes Theor. Comput. Sci..

Cortical enhanced tissue segmentation of neonatal brain MR images acquired by a dedicated phased array coil

Dinggang Shen, Lawrence L. Wald, Feng Shi, 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

A Robust Reduced Rank Graph Regression Method for Neuroimaging Genetic Analysis

Xiaofeng Zhu, Yong Fan, Weihong Zhang, 2018, Neuroinformatics.

Deep Ordinal Ranking for Multi-Category Diagnosis of Alzheimer's Disease using Hippocampal MRI data pdf

Mohamad Habes, Yong Fan, Hongming Li, 2017, ArXiv.

MRI signatures of brain age and disease over the lifespan based on a deep brain network and 14 468 individuals worldwide.

Christos Davatzikos, Sterling C. Johnson, Mohamad Habes, 2020, Brain : a journal of neurology.

Discriminant analysis of functional connectivity patterns on Grassmann manifold

Tianzi Jiang, Haihong Liu, Yong Fan, 2011, NeuroImage.

Semi-supervised clustering for parcellating brain regions based on resting state fMRI data

Yong Fan, Hewei Cheng, 2014, Medical Imaging.

Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome

Christos Davatzikos, Ragini Verma, Spyridon Bakas, 2018, Journal of medical imaging.

Volumetric segmentation of brain images using parallel genetic algorithms

David J. Evans, Tianzi Jiang, Yong Fan, 2002, IEEE Transactions on Medical Imaging.

Local label learning (L3) for multi-atlas based segmentation

Tianzi Jiang, Yongfu Hao, Xinqing Zhang, 2012, Medical Imaging.

Groupwise Registration of Brain Images for Establishing Accurate Spatial Correspondence of Brain Structures

Yong Fan, Zhenyu Tang, Yong Fan, 2014 .

Label propagation with robust initialization for brain tumor segmentation

Yong Fan, Hongming Li, Yong Fan, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

An Analysis of the Control Points in the High-Rise Building Construction Management

Yong Fan, Ke Bin Shi, 2012 .

Brain age prediction based on resting-state functional connectivity patterns using convolutional neural networks

Yong Fan, Theodore D. Satterthwaite, Hongming Li, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Random local binary pattern based label learning for multi-atlas segmentation

Yong Fan, Hancan Zhu, Hewei Cheng, 2015, Medical Imaging.

Group information guided ICA for fMRI data analysis

Yuhui Du, Yong Fan, Yuhui Du, 2013, NeuroImage.

Medical Image Registration Using Parallel Genetic Algorithms

David J. Evans, Tianzi Jiang, Yong Fan, 2002, EvoWorkshops.

Precision diagnostics based on machine learning-derived imaging signatures.

Christos Davatzikos, Spyridon Bakas, Mohamad Habes, 2019, Magnetic resonance imaging.

Functional parcellation of the hippocampus by clustering resting state fMRI signals

Yong Fan, Hewei Cheng, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Parameter-Free Centralized Multi-Task Learning for Characterizing Developmental Sex Differences in Resting State Functional Connectivity

Xiaofeng Zhu, Yong Fan, Hongming Li, 2018, AAAI.

Functional brain atlas construction for brain network analysis

Yong Fan, Hongming Li, 2013, Medical Imaging.

MCI diagnosis via manifold based classification of functional brain networks

Yong Fan, Jeffrey N. Browndyke, 2010, Alzheimer's & Dementia.

The Study of Container Yard - Roadway System Harmony in the Container Port Based on Thermodynamics Entropy

Yong Fan, Hongda Shi, Yun Liu, 2008 .

Feature extraction using convolutional neural networks for multi-atlas based image segmentation

Yong Fan, Xuesong Yang, Yong Fan, 2018, Medical Imaging.

Technical Note: More accurate and efficient segmentation of organs‐at‐risk in radiotherapy with convolutional neural networks cascades

Yong Fan, Kuo Men, Ying Xiao, 2018, Medical physics.

Identification of subject-specific brain functional networks using a collaborative sparse nonnegative matrix decomposition method

Yong Fan, Hongming Li, Ted Satterthwaite, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Parallel genetic algorithm for 3D medical image analysis

Tianzi Jiang, Yong Fan, 2002, IEEE International Conference on Systems, Man and Cybernetics.

Diagnosis of Brain Abnormality Using both Structural and Functional MR Images

Dinggang Shen, Christos Davatzikos, Jiongjiong Wang, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

Identification of Multi-scale Hierarchical Brain Functional Networks Using Deep Matrix Factorization

Xiaofeng Zhu, Yong Fan, Hongming Li, 2018, MICCAI.

Metric learning for label fusion in multi-atlas based image segmentation

Yong Fan, Xuesong Yang, Hancan Zhu, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Discriminant analysis of resting-state functional connectivity patterns on the Grassmann manifold

Tianzi Jiang, Haihong Liu, Yong Fan, 2010, Medical Imaging.

Coupled dictionary learning for joint MR image restoration and segmentation

Yong Fan, Xuesong Yang, Yong Fan, 2018, Medical Imaging.

Non-rigid image registration using fully convolutional networks with deep self-supervision pdf

Yong Fan, Hongming Li, Yong Fan, 2017, ArXiv.

Feature-Fused Context-Encoding Network for Neuroanatomy Segmentation pdf

Yong Fan, Hongming Li, Hangfan Liu, 2019, ArXiv.

A study of positioning orientation effect on segmentation accuracy using convolutional neural networks for rectal cancer

Yong Fan, Kuo Men, Ying Xiao, 2019, Journal of applied clinical medical physics.

Non-rigid image registration using self-supervised fully convolutional networks without training data

Yong Fan, Hongming Li, Yong Fan, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Computer-Aided Diagnosis of Congenital Abnormalities of the Kidney and Urinary Tract in Children Using a Multi-Instance Deep Learning Method Based on Ultrasound Imaging Data

Qinmu Peng, Shi Yin, Yong Fan, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal MRI pdf

Mohamad Habes, Yong Fan, Hongming Li, 2019, ArXiv.

Iterative multi-atlas based segmentation with multi-channel image registration and Jackknife Context Model

Tianzi Jiang, Yongfu Hao, Yong Fan, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Estimating clinical variables from brain images using Bayesian regression

Dinggang Shen, Yong Fan, Daniel Kaufer, 2009, Alzheimer's & Dementia.

CENTS: Cortical enhanced neonatal tissue segmentation

Dinggang Shen, Feng Shi, Yong Fan, 2011, Human brain mapping.

Metric Learning for Multi-atlas based Segmentation of Hippocampus

Yong Fan, Xuesong Yang, Hancan Zhu, 2016, Neuroinformatics.

Segmentation of Brain Tumors in Multi-parametric MR Images via Robust Statistic Information Propagation

Yong Fan, Hongming Li, Ming Song, 2010, ACCV.

A modified Gabor filter design method for fingerprint image enhancement

Tianzi Jiang, Yong Fan, Jianwei Yang, 2003, Pattern Recognit. Lett..

The Parallel Genetic Algorithm for Electromagnetic Inverse Scattering of a Conductor

David J. Evans, Tianzi Jiang, Yong Fan, 2002, Int. J. Comput. Math..

Adaptive convolutional neural networks for accelerating magnetic resonance imaging via k-space data interpolation

Rong Zhou, Yong Fan, Stephen Pickup, 2021, Medical Image Anal..

Brain Network Alterations in Alzheimer's Disease Identified by Early-Phase PIB-PET

Jiahe Tian, Yong Fan, Baixuan Xu, 2018, Contrast media & molecular imaging.

Two distinct neuroanatomical subtypes of schizophrenia revealed using machine learning.

Christos Davatzikos, Yong Fan, Jimit Doshi, 2020, Brain : a journal of neurology.

A deep learning model for predicting xerostomia due to radiotherapy for head-and-neck squamous cell carcinoma in the RTOG 0522 clinical trial.

Yong Fan, Kuo Men, Ying Xiao, 2019, International journal of radiation oncology, biology, physics.

A DEEP LEARNING PROGNOSTIC MODEL FOR EARLY PREDICTION OF ALZHEIMER’S DISEASE BASED ON HIPPOCAMPAL MRI DATA

Mohamad Habes, Yong Fan, Hongming Li, 2018, Alzheimer's & Dementia.

Individual Variation in Functional Topography of Association Networks in Youth

Christos Davatzikos, Russell T. Shinohara, Bart Larsen, 2020, Neuron.

Classification of multi-site MR images in the presence of heterogeneity using multi-task learning☆

Christos Davatzikos, Dewen Hu, Yong Fan, 2018, NeuroImage: Clinical.

Multi-instance deep learning of ultrasound imaging data for pattern classification of congenital abnormalities of the kidney and urinary tract in children.

Qinmu Peng, Xinge You, Yong Fan, 2020, Urology.

A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal magnetic resonance imaging data

Mohamad Habes, Yong Fan, Hongming Li, 2019, Alzheimer's & Dementia.

O2-03-06 MCI diagnosis via high-dimensional pattern classification with simultaneous utilization of MR and pet-CBF images yields 100% correct classification

Dinggang Shen, Christos Davatzikos, Yong Fan, 2007, Alzheimer's & Dementia.

Neurostructural Heterogeneity in Youth With Internalizing Symptoms

Christos Davatzikos, Russell T. Shinohara, Yong Fan, 2019, Biological Psychiatry.

Optimized biopsy procedures for estimating Gleason Score and prostate cancer volume

Dinggang Shen, Christos Davatzikos, Yong Fan, 2008 .

Predicting Alzheimer's Disease Using Combined Imaging-Whole Genome SNP Data.

Hongtu Zhu, Yong Fan, Weili Lin, 2015, Journal of Alzheimer's disease : JAD.