Yong Fan

发表

Longitudinal progression of Alzheimer's-like patterns of atrophy in normal older adults: the SPARE-AD index.

S. Resnick, C. Davatzikos, Feng Xu, 2009, Brain : a journal of neurology.

Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging

S. Resnick, D. Shen, C. Davatzikos, 2008, Neurobiology of Aging.

Whole-brain morphometric study of schizophrenia revealing a spatially complex set of focal abnormalities.

B. Turetsky, R. Gur, R. Gur, 2005, Archives of general psychiatry.

Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline

et al., Christos Davatzikos, Nematollah Batmanghelich, 2008, NeuroImage.

IC-P-035 Complex patterns of structural brain abnormality identified in MCI via high-dimensional pattern classification of MR images may be early markers of Alzheimer’s disease

S. Resnick, D. Shen, C. Davatzikos, 2006, Alzheimer's & Dementia.

Unaffected Family Members and Schizophrenia Patients Share Brain Structure Patterns: A High-Dimensional Pattern Classification Study

R. Gur, R. Gur, D. Shen, 2008, Biological Psychiatry.

O3-06-01 Complex patterns of structural brain abnormality identified in MCI via high-dimensional pattern classification of MR images may be early markers of Alzheimer’s disease

S. Resnick, D. Shen, C. Davatzikos, 2006, Alzheimer's & Dementia.

Cerebral Functional Reorganization in Ischemic Stroke after Repetitive Transcranial Magnetic Stimulation: An fMRI Study

Yong Fan, R. Xue, Jing Li, 2016, CNS neuroscience & therapeutics.

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

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

Deep Learning to Distinguish Benign from Malignant Renal Lesions Based on Routine MR Imaging

Raymond Y Huang, Yong Fan, Alvin C. Silva, 2020, Clinical Cancer Research.

Combination of dynamic 11C-PIB PET and structural MRI improves diagnosis of Alzheimer’s disease

Yong Fan, L. Fu, Linwen Liu, 2015, Psychiatry Research: Neuroimaging.

Multisite Machine Learning Analysis Provides a Robust Structural Imaging Signature of Schizophrenia Detectable Across Diverse Patient Populations and Within Individuals

R. Gur, R. Gur, C. Davatzikos, 2018, Schizophrenia bulletin.

Regularization of diffusion tensor field using coupled robust anisotropic diffusion filters

Weili Lin, D. Shen, P. Yap, 2009, IEEE Computer Society Conference on Computer Vision and Pattern Recognition workshops.

Reversibility of cerebral blood flow in patients with Cushing's disease after surgery treatment.

Yong Fan, Lu Gao, B. Xing, 2019, Metabolism: clinical and experimental.

The Brain Chart of Aging: Machine‐learning analytics reveals links between brain aging, white matter disease, amyloid burden, and cognition in the iSTAGING consortium of 10,216 harmonized MR scans

Sterling C. Johnson, M. Albert, J. Morris, 2020, Alzheimer's & dementia : the journal of the Alzheimer's Association.

Context-endcoding for neural network based skull stripping in magnetic resonance imaging

Yong Fan, Yuemeng Li, Zhen Liu, 2019, ArXiv.

Cortical enhanced tissue segmentation of neonatal brain

G. Gerig, Weili Lin, D. Shen, 2009 .

Widespread Morphometric Abnormalities in Major Depression: Neuroplasticity and Potential for Biomarker Development.

C. Davatzikos, Yong Fan, C. H. Fu, 2020, Neuroimaging clinics of North America.

Altered large-scale functional brain networks in neurological Wilson’s disease

Yong Fan, Kai Wang, D. Weintraub, 2019, Brain Imaging and Behavior.

Addressing heterogeneity (and homogeneity) in treatment mechanisms in depression and the potential to develop diagnostic and predictive biomarkers

C. Davatzikos, Yong Fan, C. H. Fu, 2019, NeuroImage: Clinical.

Impaired functional default mode network in patients with mild neurological Wilson's disease.

Yong Fan, Kai Wang, J. Toledo, 2016, Parkinsonism & related disorders.

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.

Estimating clinical variables from brain images using Bayesian regression

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

Independent and reproducible hippocampal radiomic biomarkers for multisite Alzheimer's disease: diagnosis, longitudinal progress and biological basis.

Yuanjie Zheng, Chunshui Yu, Yong Fan, 2019, Science bulletin.

Machine learning identifies unaffected first‐degree relatives with functional network patterns and cognitive impairment similar to those of schizophrenia patients

Yong Fan, Zeng-bo Ding, C. Zhuo, 2019, Human brain mapping.

Left ventricular segmental strain and the prediction of cancer therapy-related cardiac dysfunction.

C. Davatzikos, Yong Fan, M. Scherrer-Crosbie, 2020, European heart journal cardiovascular Imaging.

Combining transcranial magnetic stimulation with functional magnetic resonance imaging for probing and modulating neural circuits relevant to affective disorders.

Konrad Paul Kording, Yong Fan, Y. Sheline, 2021, Wiley interdisciplinary reviews. Cognitive science.

Neurostructural Heterogeneity in Youth With Internalizing Symptoms

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

Multi-atlas label fusion with random local binary pattern features: Application to hippocampus segmentation

Hancan Zhu, Yihong Wu, Hewei Cheng, 2019, Scientific Reports.

Association between urinary symptom severity and white matter plaque distribution in women with multiple sclerosis

Yong Fan, M. Bilello, G. Erus, 2020, Neurourology and urodynamics.

Groupwise Image Registration Guided by a Dynamic Digraph of Images

Yong Fan, Zhenyu Tang, 2016, Neuroinformatics.

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.

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

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

Sex differences in grey matter atrophy patterns among AD and aMCI patients: Results from ADNI

Dinggang Shen, Wei Gao, Yaping Wang, 2011, NeuroImage.

Regularized-Ncut: Robust and homogeneous functional parcellation of neonate and adult brain networks

Qinmu Peng, Jiaojian Wang, Minhui Ouyang, 2019, bioRxiv.

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

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

CENTS: Cortical enhanced neonatal tissue segmentation

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

Construction of multi-region-multi-reference atlases for neonatal brain MRI segmentation

Dinggang Shen, John H. Gilmore, Yong Fan, 2010, NeuroImage.

Neonatal brain MRI segmentation by building multi-region-multi-reference atlases

Dinggang Shen, John H. Gilmore, Yong Fan, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Neonatal brain image segmentation in longitudinal MRI studies

Dinggang Shen, John H. Gilmore, Yong Fan, 2010, NeuroImage.

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.

Brain tissue segmentation of neonatal MR images using a longitudinal subject-specific probabilistic atlas

Dinggang Shen, John H. Gilmore, Yong Fan, 2009, Medical Imaging.

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.

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.

Classifying spatial patterns of brain activity with machine learning methods: Application to lie detection

Dinggang Shen, Christos Davatzikos, Yong Fan, 2005, NeuroImage.

High-dimensional Pattern Regression Using Machine Learning: from Medical Images to Continuous Clinical Variables However, Support Vector Regression Has Some Disadvantages That Become Especially

Ying Wang, Christos Davatzikos, Yong Fan, 2022 .

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.

Integrated feature extraction and selection for neuroimage classification

Dinggang Shen, Yong Fan, D. Shen, 2009, Medical Imaging.

A Robust Reduced Rank Graph Regression Method for Neuroimaging Genetic Analysis

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

Early Prediction Of Alzheimer’s Disease Dementia Based On Baseline Hippocampal MRI and 1-Year Follow-Up Cognitive Measures Using Deep Recurrent Neural Networks

Yong Fan, Hongming Li, Yong Fan, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study

Yong Fan, Z. Jiao, Ken Chang, 2021, The Lancet Digital Health.

Robust Collaborative Clustering of Subjects and Radiomic Features for Cancer Prognosis

Yong Fan, Yuemeng Li, Ying Xiao, 2020, IEEE Transactions on Biomedical Engineering.

Adaptive Sparsity Regularization Based Collaborative Clustering for Cancer Prognosis

Yong Fan, Shi Yin, Yuemeng Li, 2019, MICCAI.

Collaborative Clustering Of Subjects And Radiomic Features For Predicting Clinical Outcomes Of Rectal Cancer Patients

Yong Fan, Ying Xiao, Hongming Li, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

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).

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

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

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.

Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging pdf

Christos Davatzikos, John C. Morris, Sterling C. Johnson, 2020, 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.

Development Trends of White Matter Connectivity in the First Years of Life

Dinggang Shen, John H. Gilmore, Yong Fan, 2011, PloS one.

A deep learning model integrating FCNNs and CRFs for brain tumor segmentation

Yong Fan, Xiaomei Zhao, Yihong Wu, 2017, Medical Image Anal..

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

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

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

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

Effects of Chronic Pharmacological Treatment on Functional Brain Network Connectivity in Patients with Schizophrenia

Yong Fan, Ping Wu, Jie Shi, 2020, Psychiatry Research.

Large-scale sparse functional networks from resting state fMRI

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

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

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

Precision diagnostics based on machine learning-derived imaging signatures.

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

Improvement of white matter and functional connectivity abnormalities by repetitive transcranial magnetic stimulation in crossed aphasia in dextral.

Yong Fan, Haiyan Wu, Tong Zhang, 2014, International journal of clinical and experimental medicine.

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

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

Multivariate examination of brain abnormality using both structural and functional MRI

Dinggang Shen, Brian B. Avants, James C. Gee, 2007, NeuroImage.

Two distinct neuroanatomical subtypes of schizophrenia revealed using machine learning.

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

COMPARE: Classification of Morphological Patterns Using Adaptive Regional Elements

Dinggang Shen, Christos Davatzikos, Yong Fan, 2007, IEEE Transactions on Medical Imaging.

Classification of Structural Images via High-Dimensional Image Warping, Robust Feature Extraction, and SVM

Dinggang Shen, Christos Davatzikos, Yong Fan, 2005, MICCAI.

Individual Variation in Functional Topography of Association Networks in Youth

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

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).

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.

Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks

Qinmu Peng, Xinge You, Yong Fan, 2018, Medical Image Anal..

Transfer learning for diagnosis of congenital abnormalities of the kidney and urinary tract in children based on ultrasound imaging data

Qiang Zheng, Yong Fan, Gregory Tasian, 2017, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Consistent Estimation of Cardiac Motions by 4D Image Registration

Dinggang Shen, Hari Sundar, Yong Fan, 2005, MICCAI.

APOE Effect on Amyloid-β PET Spatial Distribution, Deposition Rate, and Cut-Points.

M. Weiner, J. Trojanowski, C. Davatzikos, 2019, Journal of Alzheimer's disease : JAD.

Changes in brain functional connectivity and cognition related to white matter lesion burden in hypertensive patients from SPRINT

C. Davatzikos, R. Bryan, Yong Fan, 2021, Neuroradiology.

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.

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

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

RABBIT: Rapid alignment of brains by building intermediate templates

Dinggang Shen, Guorong Wu, Yong Fan, 2009, NeuroImage.

Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: Results from ADNI

Christos Davatzikos, Yong Fan, Chandan Misra, 2009, NeuroImage.

Penalized logistic regression using functional connectivity as covariates with an application to mild cognitive impairment

Alzheimer's Disease Neuroimaging Initiative, J. Ibrahim, Hongtu Zhu, 2020, Communications for Statistical Applications and Methods.

Structural and functional biomarkers of prodromal Alzheimer's disease: A high-dimensional pattern classification study

Xiaoying Wu, Christos Davatzikos, Yong Fan, 2008, 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.

Brain Decoding from Functional MRI Using Long Short-Term Memory Recurrent Neural Networks

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

The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview

Christos Davatzikos, Russell T. Shinohara, Spyridon Bakas, 2019, BrainLes@MICCAI.

Detecting Cognitive States from fMRI Images by Machine Learning and Multivariate Classification

Dinggang Shen, Christos Davatzikos, Yong Fan, 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

3D Brain Tumor Segmentation Through Integrating Multiple 2D FCNNs

Yong Fan, Xiaomei Zhao, Yihong Wu, 2017, BrainLes@MICCAI.

Intrinsic functional connectivity pattern-based brain parcellation using normalized cut

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

Multi-instance Deep Learning with Graph Convolutional Neural Networks for Diagnosis of Kidney Diseases Using Ultrasound Imaging

Qinmu Peng, Xinge You, Yong Fan, 2019, UNSURE/CLIP@MICCAI.

Fully-Automatic Segmentation Of Kidneys In Clinical Ultrasound Images Using A Boundary Distance Regression Network

Qinmu Peng, Xinge You, Yong Fan, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Integrating Semi-supervised and Supervised Learning Methods for Label Fusion in Multi-Atlas Based Image Segmentation

Qiang Zheng, Yong Fan, Yihong Wu, 2018, Front. Neuroinform..

Metric Learning for Multi-atlas based Segmentation of Hippocampus

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

ACEnet: Anatomical Context-Encoding Network for Neuroanatomy Segmentation

Yong Fan, Yuemeng Li, Hongming Li, 2020, Medical Image Anal..

Title: Deep learning to distinguish benign from malignant renal lesions based on routine MR imaging Authors and affiliations: 1. Ianto

Raymond Y Huang, Yong Fan, Alvin C. Silva, 2020 .

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.

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).

A longitudinal observation of brain structure between AD and FTLD

Yong Fan, Qi Xu, L. Cui, 2021, Clinical Neurology and Neurosurgery.

Activation detection in fNIRS by wavelet coherence

Xin Zhang, Yan Song, Yong Fan, 2012, Medical Imaging.

Machine Learning-Based Prediction of COVID-19 Severity and Progression to Critical Illness Using CT Imaging and Clinical Data

Yong Fan, R. Sebro, Z. Jiao, 2021, Korean journal of radiology.

A dynamic graph-cuts method with integrated multiple feature maps for segmenting kidneys in ultrasound images

Qiang Zheng, Yong Fan, Steven Warner, 2017, Academic radiology.

Robust brain parcellation using sparse representation on resting-state fMRI

K. Amunts, Yong Fan, S. Eickhoff, 2014, Brain Structure and Function.

Coupled dictionary learning for joint MR image restoration and segmentation

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

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

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

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

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

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

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

DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder ConvNets for Pulmonary Nodule Detection pdf

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

Detection of Alzheimer's disease using group lasso SVM-based region selection

Yong Fan, Boudewijn P. F. Lelieveldt, Zhuo Sun, 2015, Medical Imaging.

Brain Tumor Segmentation Using a Fully Convolutional Neural Network with Conditional Random Fields

Yong Fan, Xiaomei Zhao, Yihong Wu, 2016, BrainLes@MICCAI.

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

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

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).

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).

Addressing heterogeneity (and homogeneity) in treatment mechanisms in depression and the potential to develop diagnostic and predictive biomarkers

C. Davatzikos, Yong Fan, C. H. Fu, 2019, NeuroImage: Clinical.

Deep Convolutional Neural Networks For Imaging Data Based Survival Analysis Of Rectal Cancer

Yong Fan, Ying Xiao, Hongming Li, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: Results from ADNI

C. Davatzikos, Yong Fan, C. Misra, 2009, NeuroImage.

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).

Shape-constrained multi-atlas based segmentation with multichannel registration

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

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

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

Neonatal brain MRI segmentation by building multi-region-multi-reference atlases

J. Gilmore, Weili Lin, D. Shen, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

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

Yong Fan, L. Fu, Linwen Liu, 2018, Contrast media & molecular imaging.

Longitudinal progression of Alzheimer's-like patterns of atrophy in normal older adults: the SPARE-AD index.

S. Resnick, C. Davatzikos, Feng Xu, 2009, Brain : a journal of neurology.

Matching Functional Connectivity Patterns for Spatial Correspondence Detection in fMRI Registration

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

High-dimensional pattern regression using machine learning: From medical images to continuous clinical variables

C. Davatzikos, Yong Fan, P. Bhatt, 2010, NeuroImage.

The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview.

Siddhesh P. Thakur, D. Kontos, S. Bakas, 2019, Brainlesion : glioma, multiple sclerosis, stroke and traumatic brain injuries. BrainLes.

Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical data

Raymond Y Huang, Yong Fan, R. Sebro, 2021, European Radiology.