A parallel genetic algorithm for cell image segmentation. - Tianzi Jiang; Faguo Yang; Yong Fan 001; David J. Evans 001 (IWCIA, 2001)

Medical Image Registration Using Parallel Genetic Algorithms. - Yong Fan 001; Tianzi Jiang; David J. Evans 001 (EvoWorkshops, 2002)

Parallel genetic algorithm for 3D medical image analysis. - Tianzi Jiang; Yong Fan 001 (SMC, 2002)

The Parallel Genetic Algorithm for Electromagnetic Inverse Scattering of a Conductor. - Yong Fan 001; Tianzi Jiang; David J. Evans 001 (Int. J. Comput. Math., 2002)

On the accelerated Richardson method (ARM) for solving positive definite linear systems. - David J. Evans 001; Yong Fan 001; Tianzi Jiang (Neural Parallel Sci. Comput., 2002)

Volumetric Segmentation of Brain Images Using Parallel Genetic Algorithms. - Yong Fan 001; Tianzi Jiang; David J. Evans 001 (IEEE Trans. Medical Imaging, 2002)

A modified Gabor filter design method for fingerprint image enhancement. - Jianwei Yang; Lifeng Liu; Tianzi Jiang; Yong Fan 001 (Pattern Recognit. Lett., 2003)

Classification of Structural Images via High-Dimensional Image Warping, Robust Feature Extraction, and SVM. - Yong Fan 001; Dinggang Shen; Christos Davatzikos (MICCAI, 2005)

Consistent Estimation of Cardiac Motions by 4D Image Registration. - Dinggang Shen; Hari Sundar; Zhong Xue; Yong Fan 001; Harold Litt (MICCAI (2), 2005)

Classifying spatial patterns of brain activity with machine learning methods: Application to lie detection. - Christos Davatzikos; Kosha Ruparel; Yong Fan 001; Dinggang Shen; M. Acharyya; James Loughead; Ruben C. Gur; Daniel D. Langleben (NeuroImage, 2005)

Detecting Cognitive States from fMRI Images by Machine Learning and Multivariate Classification. - Yong Fan 001; Dinggang Shen; Christos Davatzikos (CVPR Workshops, 2006)

Diagnosis of Brain Abnormality Using both Structural and Functional MR Images. - Yong Fan 001; Hengyi Rao; Joan M. Giannetta; Hallam Hurt; Jiongjiong Wang; Christos Davatzikos; Dinggang Shen (EMBC, 2006)

Multivariate examination of brain abnormality using both structural and functional MRI. - Yong Fan 001; Hengyi Rao; Hallam Hurt; Joan M. Giannetta; Marc Korczykowski; David Shera; Brian B. Avants; James C. Gee; Jiongjiong Wang; Dinggang Shen (NeuroImage, 2007)

COMPARE: Classification of Morphological Patterns Using Adaptive Regional Elements. - Yong Fan 001; Dinggang Shen; Ruben C. Gur; Raquel E. Gur; Christos Davatzikos (IEEE Trans. Medical Imaging, 2007)

Feature selection and classification of multiparametric medical images using bagging and SVM. - Yong Fan 001; Susan M. Resnick; Christos Davatzikos (Image Processing, 2008)

Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline. - Yong Fan 001; Nematollah Batmanghelich; Christopher M. Clark; Christos Davatzikos; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2008)

Structural and functional biomarkers of prodromal Alzheimer's disease: A high-dimensional pattern classification study. - Yong Fan 001; Susan M. Resnick; Xiaoying Wu; Christos Davatzikos (NeuroImage, 2008)

Cortical enhanced tissue segmentation of neonatal brain MR images acquired by a dedicated phased array coil. - Feng Shi 001; Pew-Thian Yap; Yong Fan 001; Jie-Zhi Cheng; Lawrence L. Wald; Guido Gerig; Weili Lin; Dinggang Shen (CVPR Workshops, 2009)

Regularization of diffusion tensor field using coupled robust anisotropic diffusion filters. - Songyuan Tang; Yong Fan 001; Hongtu Zhu; Pew-Thian Yap; Wei Gao; Weili Lin; Dinggang Shen (CVPR Workshops, 2009)

Integrated feature extraction and selection for neuroimage classification. - Yong Fan 001; Dinggang Shen (Image Processing, 2009)

Brain tissue segmentation of neonatal MR images using a longitudinal subject-specific probabilistic atlas. - Feng Shi 001; Yong Fan 001; Songyuan Tang; John H. Gilmore; Weili Lin; Dinggang Shen (Image Processing, 2009)

RABBIT: rapid alignment of brains by building intermediate templates. - Songyuan Tang; Yong Fan 001; Minjeong Kim; Dinggang Shen (Image Processing, 2009)

Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: Results from ADNI. - Chandan Misra; Yong Fan 001; Christos Davatzikos (NeuroImage, 2009)

RABBIT: Rapid alignment of brains by building intermediate templates. - Songyuan Tang; Yong Fan 001; Guorong Wu 001; Minjeong Kim; Dinggang Shen (NeuroImage, 2009)

Segmentation of Brain Tumors in Multi-parametric MR Images via Robust Statistic Information Propagation. - Hongming Li; Ming Song; Yong Fan 001 (ACCV (4), 2010)

Joint estimation of multiple clinical variables of neurological diseases from imaging patterns. - Yong Fan 001; Daniel Kaufer; Dinggang Shen (ISBI, 2010)

Neonatal brain MRI segmentation by building multi-region-multireference atlases. - Feng Shi 001; Pew-Thian Yap; Yong Fan 001; John H. Gilmore; Weili Lin; Dinggang Shen (ISBI, 2010)

Discriminant analysis of resting-state functional connectivity patterns on the Grassmann manifold. - Yong Fan 001; Yong Liu 002; Tianzi Jiang; Zhening Liu; Yihui Hao; Haihong Liu (Image Processing, 2010)

Neonatal brain image segmentation in longitudinal MRI studies. - Feng Shi 001; Yong Fan 001; Songyuan Tang; John H. Gilmore; Weili Lin; Dinggang Shen (NeuroImage, 2010)

Construction of multi-region-multi-reference atlases for neonatal brain MRI segmentation. - Feng Shi 001; Pew-Thian Yap; Yong Fan 001; John H. Gilmore; Weili Lin; Dinggang Shen (NeuroImage, 2010)

High-dimensional pattern regression using machine learning: From medical images to continuous clinical variables. - Ying Wang 003; Yong Fan 001; Priyanka Bhatt; Christos Davatzikos (NeuroImage, 2010)

Ordinal Ranking for Detecting Mild Cognitive Impairment and Alzheimer's Disease Based on Multimodal Neuroimages and CSF Biomarkers. - Yong Fan 001 (MBIA, 2011)

Discriminant analysis of functional connectivity patterns on Grassmann manifold. - Yong Fan 001; Yong Liu 002; Hong Wu; Yihui Hao; Haihong Liu; Zhening Liu; Tianzi Jiang (NeuroImage, 2011)

Brain anatomical networks in early human brain development. - Yong Fan 001; Feng Shi 001; Jeffrey Keith Smith; Weili Lin; John H. Gilmore; Dinggang Shen (NeuroImage, 2011)

Sex differences in grey matter atrophy patterns among AD and aMCI patients: Results from ADNI. - Martha Skup; Hongtu Zhu; Yaping Wang; Kelly S. Giovanello; Ja-an Lin; Dinggang Shen; Feng Shi 001; Wei Gao; Weili Lin; Yong Fan 001; Heping Zhang (NeuroImage, 2011)

Iterative multi-atlas based segmentation with multi-channel image registration and Jackknife Context Model. - Yongfu Hao; Tianzi Jiang; Yong Fan 001 (ISBI, 2012)

Groupwise fMRI registration using multi-range functional connectivity patterns. - Di Jiang; Tianzi Jiang; Yong Fan 001 (ISBI, 2012)

Label propagation with robust initialization for brain tumor segmentation. - Hongming Li; Yong Fan 001 (ISBI, 2012)

Intrinsic functional connectivity pattern based brain parcellation using normalized cut. - Hewei Cheng; Dandan Song; Hong Wu; Yong Fan 001 (Image Processing, 2012)

Identification of subject specific and functional consistent ROIs using semi-supervised learning. - Yuhui Du; Hongming Li; Hong Wu; Yong Fan 001 (Image Processing, 2012)

Shape-constrained multi-atlas based segmentation with multichannel registration. - Yongfu Hao; Tianzi Jiang; Yong Fan 001 (Image Processing, 2012)

Local label learning (L3) for multi-atlas based segmentation. - Yongfu Hao; Jieqiong Liu; Yunyun Duan; Xinqing Zhang; Chunshui Yu; Tianzi Jiang; Yong Fan 001 (Image Processing, 2012)

fMRI alignment based on local functional connectivity patterns. - Di Jiang; Yuhui Du; Hewei Cheng; Tianzi Jiang; Yong Fan 001 (Image Processing, 2012)

Frequency Offset and Channel Estimation in Co-Relay Cooperative OFDM Systems. - Zhongshan Zhang; Jian Liu 026; Keping Long; Yong Fan 001 (VTC Spring, 2012)

Improved Cell Search and Initial Synchronization Using PSS in LTE. - Zhongshan Zhang; Ming Lei; Keping Long; Yong Fan 001 (VTC Spring, 2012)

Image registration based on dynamic directed graphs with groupwise image similarity. - Zhenyu Tang; Di Jiang; Yong Fan 001 (ISBI, 2013)

Matching Functional Connectivity Patterns for Spatial Correspondence Detection in fMRI Registration. - Zhenyu Tang; Di Jiang; Hongming Li; Yong Fan 001 (AE-CAI, 2013)

Functional brain atlas construction for brain network analysis. - Hongming Li; Yong Fan 001 (Image Processing, 2013)

Group information guided ICA for fMRI data analysis. - Yuhui Du; Yong Fan 001 (NeuroImage, 2013)

Groupwise spatial normalization of fMRI data based on multi-range functional connectivity patterns. - Di Jiang; Yuhui Du; Hewei Cheng; Tianzi Jiang; Yong Fan 001 (NeuroImage, 2013)

Functional parcellation of the hippocampus by clustering resting state fMRI signals. - Hewei Cheng; Yong Fan 001 (ISBI, 2014)

Spatial alignment of human cortex by matching hierarchical patterns of functional connectivity. - Hongming Li; Yong Fan 001 (ISBI, 2014)

Hierarchical organization of the functional brain identified using floating aggregation of functional signals. - Hongming Li; Yong Fan 001 (ISBI, 2014)

Semi-supervised clustering for parcellating brain regions based on resting state fMRI data. - Hewei Cheng; Yong Fan 001 (Image Processing, 2014)

Random local binary pattern based label learning for multi-atlas segmentation. - Hancan Zhu; Hewei Cheng; Yong Fan 001 (Image Processing, 2015)

Individualized brain parcellation with integrated funcitonal and morphological information. - Hongming Li; Yong Fan 001 (ISBI, 2016)

Identification of subject-specific brain functional networks using a collaborative sparse nonnegative matrix decomposition method. - Hongming Li; Ted Satterthwaite; Yong Fan 001 (ISBI, 2016)

Metric learning for label fusion in multi-atlas based image segmentation. - Hancan Zhu; Hewei Cheng; Xuesong Yang; Yong Fan 001 (ISBI, 2016)

Brain Tumor Segmentation Using a Fully Convolutional Neural Network with Conditional Random Fields. - Xiaomei Zhao; Yihong Wu 002; Guidong Song; Zhenye Li 003; Yong Fan 001; Yazhuo Zhang (BrainLes@MICCAI, 2016)

Groupwise Image Registration Guided by a Dynamic Digraph of Images. - Zhenyu Tang; Yong Fan 001 (Neuroinformatics, 2016)

Pattern recognition of functional brain networks. - Yong Fan 001; Christos Davatzikos (ICASSP, 2017)

3D Brain Tumor Segmentation Through Integrating Multiple 2D FCNNs. - Xiaomei Zhao; Yihong Wu 002; Guidong Song; Zhenye Li 003; Yazhuo Zhang; Yong Fan 001 (BrainLes@MICCAI, 2017)

A dynamic graph-cuts method with integrated multiple feature maps for segmenting kidneys in ultrasound images. - Qiang Zheng; Steven Warner; Gregory Tasian; Yong Fan 001 (CoRR, 2017)

Non-rigid image registration using fully convolutional networks with deep self-supervision. - Hongming Li; Yong Fan 001 (CoRR, 2017)

Deep Ordinal Ranking for Multi-Category Diagnosis of Alzheimer's Disease using Hippocampal MRI data. - Hongming Li; Mohamad Habes; Yong Fan 001 (CoRR, 2017)

Feature selection by optimizing a lower bound of conditional mutual information. - Hanyang Peng; Yong Fan 001 (Inf. Sci., 2017)

Large-scale sparse functional networks from resting state fMRI. - Hongming Li; Theodore D. Satterthwaite; Yong Fan 001 (NeuroImage, 2017)

Metric Learning for Multi-atlas based Segmentation of Hippocampus. - Hancan Zhu; Hewei Cheng; Xuesong Yang; Yong Fan 001 (Neuroinformatics, 2017)

Parameter-Free Centralized Multi-Task Learning for Characterizing Developmental Sex Differences in Resting State Functional Connectivity. - Xiaofeng Zhu 001; Hongming Li; Yong Fan 001 (AAAI, 2018)

Non-rigid image registration using self-supervised fully convolutional networks without training data. - Hongming Li; Yong Fan 001 (ISBI, 2018)

Brain age prediction based on resting-state functional connectivity patterns using convolutional neural networks. - Hongming Li; Theodore D. Satterthwaite; Yong Fan 001 (ISBI, 2018)

Integrating semi-supervised label propagation and random forests for multi-atlas based hippocampus segmentation. - Qiang Zheng; Yong Fan 001 (ISBI, 2018)

Transfer learning for diagnosis of congenital abnormalities of the kidney and urinary tract in children based on ultrasound imaging data. - Qiang Zheng; Gregory Tasian; Yong Fan 001 (ISBI, 2018)

Identification of Temporal Transition of Functional States Using Recurrent Neural Networks from Functional MRI. - Hongming Li; Yong Fan 001 (MICCAI (3), 2018)

Brain Decoding from Functional MRI Using Long Short-Term Memory Recurrent Neural Networks. - Hongming Li; Yong Fan 001 (MICCAI (3), 2018)

Identification of Multi-scale Hierarchical Brain Functional Networks Using Deep Matrix Factorization. - Hongming Li; Xiaofeng Zhu 001; Yong Fan 001 (MICCAI (3), 2018)

Coupled dictionary learning for joint MR image restoration and segmentation. - Xuesong Yang; Yong Fan 001 (Image Processing, 2018)

Feature extraction using convolutional neural networks for multi-atlas based image segmentation. - Xuesong Yang; Yong Fan 001 (Image Processing, 2018)

Subsequent Boundary Distance Regression and Pixelwise Classification Networks for Automatic Kidney Segmentation in Ultrasound Images. - Shi Yin; Qinmu Peng; Hongming Li; Zhengqiang Zhang; Xinge You; Susan L. Furth; Gregory E. Tasian; Yong Fan 001 (CoRR, 2018)

Integrating Semi-supervised and Supervised Learning Methods for Label Fusion in Multi-Atlas Based Image Segmentation. - Qiang Zheng; Yihong Wu 002; Yong Fan 001 (Frontiers Neuroinformatics, 2018)

A deep learning model integrating FCNNs and CRFs for brain tumor segmentation. - Xiaomei Zhao; Yihong Wu 002; Guidong Song; Zhenye Li 003; Yazhuo Zhang; Yong Fan 001 (Medical Image Anal., 2018)

A Robust Reduced Rank Graph Regression Method for Neuroimaging Genetic Analysis. - Xiaofeng Zhu 001; Weihong Zhang; Yong Fan 001 (Neuroinformatics, 2018)

The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview. - Sarthak Pati; Ashish Singh; Saima Rathore; Aimilia Gastounioti; Mark Bergman; Phuc Ngo; Sung Min Ha; Dimitrios Bounias; James Minock; Grayson Murphy; Hongming Li; Amit Bhattarai; et al. (BrainLes@MICCAI (2), 2019)

Deep Convolutional Neural Networks For Imaging Data Based Survival Analysis Of Rectal Cancer. - Hongming Li; Pamela Boimel; James Janopaul-Naylor; Haoyu Zhong; Ying Xiao; Edgar Ben-Josef; Yong Fan 001 (ISBI, 2019)

Early Prediction Of Alzheimer's Disease Dementia Based On Baseline Hippocampal MRI and 1-Year Follow-Up Cognitive Measures Using Deep Recurrent Neural Networks. - Hongming Li; Yong Fan 001 (ISBI, 2019)

Collaborative Clustering Of Subjects And Radiomic Features For Predicting Clinical Outcomes Of Rectal Cancer Patients. - Hangfan Liu; Hongming Li; Pamela Boimel; James Janopaul-Naylor; Haoyu Zhong; Ying Xiao; Edgar Ben-Josef; Yong Fan 001 (ISBI, 2019)

Fully-Automatic Segmentation Of Kidneys In Clinical Ultrasound Images Using A Boundary Distance Regression Network. - Shi Yin; Zhengqiang Zhang; Hongming Li; Qinmu Peng; Xinge You; Susan L. Furth; Gregory E. Tasian; Yong Fan 001 (ISBI, 2019)

Adaptive Sparsity Regularization Based Collaborative Clustering for Cancer Prognosis. - Hangfan Liu; Hongming Li; Yuemeng Li; Shi Yin; Pamela Boimel; James Janopaul-Naylor; Haoyu Zhong; Ying Xiao; Edgar Ben-Josef; Yong Fan 001 (MICCAI (4), 2019)

Multi-instance Deep Learning with Graph Convolutional Neural Networks for Diagnosis of Kidney Diseases Using Ultrasound Imaging. - Shi Yin; Qinmu Peng; Hongming Li; Zhengqiang Zhang; Xinge You; Hangfan Liu; Katherine Fischer; Susan L. Furth; Gregory E. Tasian; Yong Fan 001 (UNSURE/CLIP@MICCAI, 2019)

Radiomic features from MRI distinguish myxomas from myxofibrosarcomas. - Teresa Martin-Carreras; Hongming Li; Kumarasen Cooper; Yong Fan 001; Ronnie Sebro (BMC Medical Imaging, 2019)

DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder ConvNets for Pulmonary Nodule Detection. - Yuemeng Li; Hangfan Liu; Yong Fan 001 (CoRR, 2019)

A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal MRI. - Hongming Li; Mohamad Habes; David A. Wolk; Yong Fan 001 (CoRR, 2019)

Feature-Fused Context-Encoding Network for Neuroanatomy Segmentation. - Yuemeng Li; Hangfan Liu; Hongming Li; Yong Fan 001 (CoRR, 2019)

Context-endcoding for neural network based skull stripping in magnetic resonance imaging. - Zhen Liu; Borui Xiao; Yuemeng Li; Yong Fan 001 (CoRR, 2019)

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. - Hongming Li; Yong Fan 001 (NeuroImage, 2019)

Improving Diagnosis of Autism Spectrum Disorder and Disentangling its Heterogeneous Functional Connectivity Patterns Using Capsule Networks. - Zhicheng Jiao; Hongming Li; Yong Fan 001 (ISBI, 2020)

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. - Shi Yin; Qinmu Peng; Hongming Li; Zhengqiang Zhang; Xinge You; Katherine Fischer; Susan L. Furth; Gregory E. Tasian; Yong Fan 001 (ISBI, 2020)

A 3D Convolutional Encapsulated Long Short-Term Memory (3DConv-LSTM) Model for Denoising fMRI Data. - Chongyue Zhao; Hongming Li; Zhicheng Jiao; Tianming Du; Yong Fan 001 (MICCAI (7), 2020)

Regularized-Ncut: Robust and homogeneous functional parcellation of neonate and adult brain networks. - Qinmu Peng; Minhui Ouyang; Jiaojian Wang; Qinlin Yu; Chenying Zhao; Michelle Slinger; Hongming Li; Yong Fan 001; Bo Hong; Hao Huang 016 (Artif. Intell. Medicine, 2020)

Adaptive convolutional neural networks for k-space data interpolation in fast magnetic resonance imaging. - Tianming Du; Honggang Zhang 002; Yuemeng Li; Hee Kwon Song; Yong Fan 001 (CoRR, 2020)

MDReg-Net: Multi-resolution diffeomorphic image registration using fully convolutional networks with deep self-supervision. - Hongming Li; Yong Fan 001 (CoRR, 2020)

Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging. - Vishnu M. Bashyam; Jimit Doshi; Güray Erus; Dhivya Srinivasan; Ahmed Abdulkadir; Mohamad Habes; Yong Fan 001; Colin L. Masters; Paul Maruff; Chuanjun Zhuo; Henry Völzke; Sterling C. Johnson; et al. (CoRR, 2020)

Unsupervised deep learning for individualized brain functional network identification. - Hongming Li; Yong Fan 001 (CoRR, 2020)

Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks. - Shi Yin; Qinmu Peng; Hongming Li; Zhengqiang Zhang; Xinge You; Katherine Fischer; Susan L. Furth; Gregory E. Tasian; Yong Fan 001 (Medical Image Anal., 2020)

Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan. - Raymond Pomponio; Güray Erus; Mohamad Habes; Jimit Doshi; Dhivya Srinivasan; Elizabeth Mamourian; Vishnu Bashyam; Ilya M. Nasrallah; Theodore D. Satterthwaite; Yong Fan 001; Lenore J. Launer; Colin L. Masters; et al. (NeuroImage, 2020)

Robust Collaborative Clustering of Subjects and Radiomic Features for Cancer Prognosis. - Hangfan Liu; Hongming Li; Mohamad Habes; Yuemeng Li; Pamela Boimel; James Janopaul-Naylor; Ying Xiao; Edgar Ben-Josef; Yong Fan 001 (IEEE Trans. Biomed. Eng., 2020)

Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning. - Gyujoon Hwang; Ahmed Abdulkadir; Güray Erus; Mohamad Habes; Raymond Pomponio; Haochang Shou; Jimit Doshi; Elizabeth Mamourian; Tanweer Rashid; Murat Bilgel; Yong Fan 001; Aristeidis Sotiras; et al. (CoRR, 2021)

Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics. - Junhao Wen 002; Cynthia H. Y. Fu; Duygu Tosun; Yogasudha Veturi; Zhijian Yang; Ahmed Abdulkadir; Elizabeth Mamourian; Dhivya Srinivasan; Jingxuan Bao; Güray Erus; Haochang Shou; Mohamad Habes; et al. (CoRR, 2021)

Fusing functional connectivity with network nodal information for sparse network pattern learning of functional brain networks. - Xiaofeng Zhu 001; Hongming Li; Heng Tao Shen; Zheng Zhang 006; Yanli Ji; Yong Fan 001 (Inf. Fusion, 2021)

Adaptive convolutional neural networks for accelerating magnetic resonance imaging via k-space data interpolation. - Tianming Du; Honggang Zhang 002; Yuemeng Li; Stephen Pickup; Mark Rosen; Rong Zhou; Hee Kwon Song; Yong Fan 001 (Medical Image Anal., 2021)

ACEnet: Anatomical context-encoding network for neuroanatomy segmentation. - Yuemeng Li; Hongming Li; Yong Fan 001 (Medical Image Anal., 2021)

Harmonization of multi-site functional connectivity measures in tangent space improves brain age prediction. - Zhen Zhou 004; Dhivya Srinivasan; Hongming Li; Ahmed Abdulkadir; Haochang Shou; Christos Davatzikos; Yong Fan 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

Learning Apparent Diffusion Coefficient Maps from Undersampled Radial k-Space Diffusion-Weighted MRI in Mice using a Deep CNN-Transformer Model in Conjunction with a Monoexponential Model. - Yuemeng Li; Hee Kwon Song; Miguel Romanello Joaquim; Stephen Pickup; Rong Zhou; Yong Fan 001 (CoRR, 2022)

Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes. - Junhao Wen 002; Erdem Varol; Aristeidis Sotiras; Zhijian Yang; Ganesh B. Chand; Güray Erus; Haochang Shou; Ahmed Abdulkadir; Gyujoon Hwang; Dominic B. Dwyer; Alessandro Pigoni; Paola Dazzan; et al. (Medical Image Anal., 2022)

Harmonizing functional connectivity reduces scanner effects in community detection. - Andrew A. Chen; Dhivya Srinivasan; Raymond Pomponio; Yong Fan 001; Ilya M. Nasrallah; Susan M. Resnick; Lori L. Beason-Held; Christos Davatzikos; Theodore D. Satterthwaite; Dani S. Bassett; Russell T. Shinohara; Haochang Shou (NeuroImage, 2022)

Computation of transcranial magnetic stimulation electric fields using self-supervised deep learning. - Hongming Li; Zhi-De Deng; Desmond J. Oathes; Yong Fan 001 (NeuroImage, 2022)

An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data. - Chris K. Kim; Ji Whae Choi; Zhicheng Jiao; Dongcui Wang; Jing Wu; Thomas Y. Yi; Kasey C. Halsey; Feyisope Eweje; Thi My Linh Tran; Chang Liu 082; Robin Wang; John Sollee; et al. (npj Digit. Medicine, 2022)

Bipartite Organization of Cerebellar-Cortical Networks Identified based on Intrinsic Functional Connectivity. - Hewei Cheng; Zhengyu Ren; Hongmin Ding; Dengke Li; Yong Fan 001 (ISBI, 2023)

Deep Clustering Survival Machines with Interpretable Expert Distributions. - Bojian Hou; Hongming Li; Zhicheng Jiao; Zhen Zhou 004; Hao Zheng 006; Yong Fan 001 (ISBI, 2023)

Predicting Alzheimer's Disease and Quantifying Asymmetric Degeneration of the Hippocampus Using Deep Learning of Magnetic Resonance Imaging Data. - Xi Liu; Hongming Li; Yong Fan 001 (ISBI, 2023)

SurfNN: Joint Reconstruction of Multiple Cortical Surfaces from Magnetic Resonance Images. - Hao Zheng 006; Hongming Li; Yong Fan 001 (ISBI, 2023)

Coupled Reconstruction of Cortical Surfaces by Diffeomorphic Mesh Deformation. - Hao Zheng 006; Hongming Li; Yong Fan 001 (NeurIPS, 2023)

Medical Image Segmentation with Domain Adaptation: A Survey. - Yuemeng Li; Yong Fan 001 (CoRR, 2023)

Computing personalized brain functional networks from fMRI using self-supervised deep learning. - Hongming Li; Dhivya Srinivasan; Chuanjun Zhuo; Zaixu Cui; Raquel E. Gur; Ruben C. Gur; Desmond J. Oathes; Christos Davatzikos; Theodore D. Satterthwaite; Yong Fan 001 (Medical Image Anal., 2023)

Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study. - Zhen Zhou 004; Hongming Li; Dhivya Srinivasan; Ahmed Abdulkadir; Ilya M. Nasrallah; Junhao Wen 002; Jimit Doshi; Güray Erus; Elizabeth Mamourian; R. Nick Bryan; David A. Wolk; Lori L. Beason-Held; et al. (NeuroImage, 2023)

Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation. - Xiaoyang Chen; Hao Zheng 006; Yuemeng Li; Yuncong Ma; Liang Ma; Hongming Li; Yong Fan 001 (CVPR, 2024)

Enhancing Whole Slide Image Classification with Discriminative and Contrastive Learning. - Peixian Liang; Hao Zheng 006; Hongming Li; Yuxin Gong; Spyridon Bakas; Yong Fan 001 (MICCAI (4), 2024)

CopilotCAD: Empowering Radiologists with Report Completion Models and Quantitative Evidence from Medical Image Foundation Models. - Sheng Wang; Tianming Du; Katherine Fischer; Gregory E. Tasian; Justin Ziemba; Joanie M. Garratt; Hersh Sagreiya; Yong Fan 001 (CoRR, 2024)

SegCSR: Weakly-Supervised Cortical Surfaces Reconstruction from Brain Ribbon Segmentations. - Hao Zheng 006; Xiaoyang Chen; Hongming Li; Tingting Chen; Peixian Liang; Yong Fan 001 (ISBI, 2025)

Experimental study on square RC short columns strengthened with corrugated steel jacket under axial compression. - Fan Yang; Ligui Yang; Yuyin Wang; Yong Fan 001; Shuangshuang Jin; Yunwen Chen; Qilong Xia (CoRR, 2025)