Yong Fan - RankMe

148 papers A* 3A 1B 16C 1Misc 1Journal 76Unranked 50

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	dFCExpert: Learning Dynamic Functional Connectivity Patterns With Modularity and State Experts. IEEE Trans. Medical Imaging Tingting Chen, Hongming Li, Hao Zheng, Yong Fan
2025	J	`jnl`	Experimental study on square RC short columns strengthened with corrugated steel jacket under axial compression. CoRR Fan Yang, Ligui Yang, Yuyin Wang, Yong Fan, Shuangshuang Jin, Yunwen Chen, Qilong Xia
2025	—	`conf`	SegCSR: Weakly-Supervised Cortical Surfaces Reconstruction from Brain Ribbon Segmentations. ISBI Hao Zheng, Xiaoyang Chen, Hongming Li, Tingting Chen, Peixian Liang, Yong Fan
2025	J	`jnl`	SurfNet: Reconstruction of Cortical Surfaces via Coupled Diffeomorphic Deformations. IEEE Trans. Medical Imaging Hao Zheng, Hongming Li, Yong Fan
2024	J	`jnl`	CopilotCAD: Empowering Radiologists with Report Completion Models and Quantitative Evidence from Medical Image Foundation Models. CoRR Sheng Wang, Tianming Du, Katherine Fischer, Gregory E. Tasian, Justin Ziemba, Joanie M. Garratt, Hersh Sagreiya, Yong Fan
2024	—	`conf`	Enhancing Whole Slide Image Classification with Discriminative and Contrastive Learning. MICCAI (4) Peixian Liang, Hao Zheng, Hongming Li, Yuxin Gong, Spyridon Bakas, Yong Fan
2024	A*	`conf`	Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation. CVPR Xiaoyang Chen, Hao Zheng, Yuemeng Li, Yuncong Ma, Liang Ma, Hongming Li, Yong Fan
2023	—	`conf`	Bipartite Organization of Cerebellar-Cortical Networks Identified based on Intrinsic Functional Connectivity. ISBI Hewei Cheng, Zhengyu Ren, Hongmin Ding, Dengke Li, Yong Fan
2023	J	`jnl`	Computing personalized brain functional networks from fMRI using self-supervised deep learning. Medical Image Anal. Hongming Li, Dhivya Srinivasan, Chuanjun Zhuo, Zaixu Cui, Raquel E. Gur, Ruben C. Gur, Desmond J. Oathes, Christos Davatzikos, Theodore D. Satterthwaite, Yong Fan
2023	A*	`conf`	Coupled Reconstruction of Cortical Surfaces by Diffeomorphic Mesh Deformation. NeurIPS Hao Zheng, Hongming Li, Yong Fan
2023	—	`conf`	Deep Clustering Survival Machines with Interpretable Expert Distributions. ISBI Bojian Hou, Hongming Li, Zhicheng Jiao, Zhen Zhou, Hao Zheng, Yong Fan
2023	J	`jnl`	Deep Clustering Survival Machines with Interpretable Expert Distributions. CoRR Bojian Hou, Hongming Li, Zhicheng Jiao, Zhen Zhou, Hao Zheng, Yong Fan
2023	J	`jnl`	Medical Image Segmentation with Domain Adaptation: A Survey. CoRR Yuemeng Li, Yong Fan
2023	J	`jnl`	Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study. NeuroImage Zhen Zhou, Hongming Li, Dhivya Srinivasan, Ahmed Abdulkadir, Ilya M. Nasrallah, Junhao Wen, Jimit Doshi, Güray Erus, Elizabeth Mamourian, R. Nick Bryan, David A. Wolk, Lori L. Beason-Held, Susan M. Resnick, Theodore D. Satterthwaite, Christos Davatzikos, Haochang Shou, Yong Fan
2023	—	`conf`	Predicting Alzheimer's Disease and Quantifying Asymmetric Degeneration of the Hippocampus Using Deep Learning of Magnetic Resonance Imaging Data. ISBI Xi Liu, Hongming Li, Yong Fan
2023	—	`conf`	SurfNN: Joint Reconstruction of Multiple Cortical Surfaces from Magnetic Resonance Images. ISBI Hao Zheng, Hongming Li, Yong Fan
2023	J	`jnl`	SurfNN: Joint Reconstruction of Multiple Cortical Surfaces from Magnetic Resonance Images. CoRR Hao Zheng, Hongming Li, Yong Fan
2023	J	`jnl`	Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation. CoRR Xiaoyang Chen, Hao Zheng, Yuemeng Li, Yuncong Ma, Liang Ma, Hongming Li, Yong Fan
2022	J	`jnl`	An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data. npj Digit. Medicine 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, Robin Wang, John Sollee, Celina Hsieh, Ken Chang, Fang-Xue Yang, Ritambhara Singh, Jie-Lin Ou, Raymond Y. Huang, Cai Feng, Michael D. Feldman, Tao Liu, Ji Sheng Gong, Shaolei Lu, Carsten Eickhoff, Xue Feng, Ihab Kamel, Ronnie Sebro, Michael Atalay, Terrance Healey, Yong Fan, Wei-hua Liao, Jianxin Wang, Harrison X. Bai
2022	J	`jnl`	Computation of transcranial magnetic stimulation electric fields using self-supervised deep learning. NeuroImage Hongming Li, Zhi-De Deng, Desmond J. Oathes, Yong Fan
2022	—	`conf`	Harmonization of multi-site functional connectivity measures in tangent space improves brain age prediction. Biomedical Applications in Molecular, Structural, and Functional Imaging Zhen Zhou, Dhivya Srinivasan, Hongming Li, Ahmed Abdulkadir, Haochang Shou, Christos Davatzikos, Yong Fan
2022	J	`jnl`	Harmonizing functional connectivity reduces scanner effects in community detection. NeuroImage Andrew A. Chen, Dhivya Srinivasan, Raymond Pomponio, Yong Fan, Ilya M. Nasrallah, Susan M. Resnick, Lori L. Beason-Held, Christos Davatzikos, Theodore D. Satterthwaite, Dani S. Bassett, Russell T. Shinohara, Haochang Shou
2022	J	`jnl`	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. CoRR Yuemeng Li, Hee Kwon Song, Miguel Romanello Joaquim, Stephen Pickup, Rong Zhou, Yong Fan
2022	J	`jnl`	Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes. Medical Image Anal. Junhao Wen, Erdem Varol, Aristeidis Sotiras, Zhijian Yang, Ganesh B. Chand, Güray Erus, Haochang Shou, Ahmed Abdulkadir, Gyujoon Hwang, Dominic B. Dwyer, Alessandro Pigoni, Paola Dazzan, René S. Kahn, Hugo G. Schnack, Marcus V. Zanetti, Eva M. Meisenzahl, Geraldo Filho Bussato, Benedicto Crespo-Facorro, Rafael Romero-Garcia, Christos Pantelis, Stephen J. Wood, Chuanjun Zhuo, Russell T. Shinohara, Yong Fan, Ruben C. Gur, Raquel E. Gur, Theodore D. Satterthwaite, Nikolaos Koutsouleris, Daniel H. Wolf, Christos Davatzikos
2021	J	`jnl`	ACEnet: Anatomical context-encoding network for neuroanatomy segmentation. Medical Image Anal. Yuemeng Li, Hongming Li, Yong Fan
2021	J	`jnl`	Adaptive convolutional neural networks for accelerating magnetic resonance imaging via Medical Image Anal. Tianming Du, Honggang Zhang, Yuemeng Li, Stephen Pickup, Mark Rosen, Rong Zhou, Hee Kwon Song, Yong Fan
2021	J	`jnl`	Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning. CoRR Gyujoon Hwang, Ahmed Abdulkadir, Güray Erus, Mohamad Habes, Raymond Pomponio, Haochang Shou, Jimit Doshi, Elizabeth Mamourian, Tanweer Rashid, Murat Bilgel, Yong Fan, Aristeidis Sotiras, Dhivya Srinivasan, John C. Morris, Daniel S. Marcus, Marilyn S. Albert, R. Nick Bryan, Susan M. Resnick, Ilya M. Nasrallah, Christos Davatzikos, David A. Wolk
2021	J	`jnl`	Fusing functional connectivity with network nodal information for sparse network pattern learning of functional brain networks. Inf. Fusion Xiaofeng Zhu, Hongming Li, Heng Tao Shen, Zheng Zhang, Yanli Ji, Yong Fan
2021	J	`jnl`	Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics. CoRR Junhao Wen, Cynthia H. Y. Fu, Duygu Tosun, Yogasudha Veturi, Zhijian Yang, Ahmed Abdulkadir, Elizabeth Mamourian, Dhivya Srinivasan, Jingxuan Bao, Güray Erus, Haochang Shou, Mohamad Habes, Jimit Doshi, Erdem Varol, Scott R. Mackin, Aristeidis Sotiras, Yong Fan, Andrew J. Saykin, Yvette I. Sheline, Li Shen, Marylyn D. Ritchie, David A. Wolk, Marilyn S. Albert, Susan M. Resnick, Christos Davatzikos
2020	—	`conf`	A 3D Convolutional Encapsulated Long Short-Term Memory (3DConv-LSTM) Model for Denoising fMRI Data. MICCAI (7) Chongyue Zhao, Hongming Li, Zhicheng Jiao, Tianming Du, Yong Fan
2020	J	`jnl`	ACEnet: Anatomical Context-Encoding Network for Neuroanatomy Segmentation. CoRR Yuemeng Li, Hongming Li, Yong Fan
2020	J	`jnl`	Adaptive convolutional neural networks for k-space data interpolation in fast magnetic resonance imaging. CoRR Tianming Du, Honggang Zhang, Yuemeng Li, Hee Kwon Song, Yong Fan
2020	J	`jnl`	Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks. Medical Image Anal. Shi Yin, Qinmu Peng, Hongming Li, Zhengqiang Zhang, Xinge You, Katherine Fischer, Susan L. Furth, Gregory E. Tasian, Yong Fan
2020	—	`conf`	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. ISBI Shi Yin, Qinmu Peng, Hongming Li, Zhengqiang Zhang, Xinge You, Katherine Fischer, Susan L. Furth, Gregory E. Tasian, Yong Fan
2020	J	`jnl`	Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan. NeuroImage Raymond Pomponio, Güray Erus, Mohamad Habes, Jimit Doshi, Dhivya Srinivasan, Elizabeth Mamourian, Vishnu Bashyam, Ilya M. Nasrallah, Theodore D. Satterthwaite, Yong Fan, Lenore J. Launer, Colin L. Masters, Paul Maruff, Chuanjun Zhuo, Henry Völzke, Sterling C. Johnson, Jurgen Fripp, Nikolaos Koutsouleris, Christos Davatzikos
2020	—	`conf`	Improving Diagnosis of Autism Spectrum Disorder and Disentangling its Heterogeneous Functional Connectivity Patterns Using Capsule Networks. ISBI Zhicheng Jiao, Hongming Li, Yong Fan
2020	J	`jnl`	MDReg-Net: Multi-resolution diffeomorphic image registration using fully convolutional networks with deep self-supervision. CoRR Hongming Li, Yong Fan
2020	J	`jnl`	Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging. CoRR Vishnu M. Bashyam, Jimit Doshi, Güray Erus, Dhivya Srinivasan, Ahmed Abdulkadir, Mohamad Habes, Yong Fan, Colin L. Masters, Paul Maruff, Chuanjun Zhuo, Henry Völzke, Sterling C. Johnson, Jurgen Fripp, Nikolaos Koutsouleris, Theodore D. Satterthwaite, Daniel H. Wolf, Raquel E. Gur, Ruben C. Gur, John C. Morris, Marilyn S. Albert, Hans Jörgen Grabe, Susan M. Resnick, R. Nick Bryan, David A. Wolk, Haochang Shou, Ilya M. Nasrallah, Christos Davatzikos
2020	J	`jnl`	Regularized-Ncut: Robust and homogeneous functional parcellation of neonate and adult brain networks. Artif. Intell. Medicine Qinmu Peng, Minhui Ouyang, Jiaojian Wang, Qinlin Yu, Chenying Zhao, Michelle Slinger, Hongming Li, Yong Fan, Bo Hong, Hao Huang
2020	J	`jnl`	Robust Collaborative Clustering of Subjects and Radiomic Features for Cancer Prognosis. IEEE Trans. Biomed. Eng. Hangfan Liu, Hongming Li, Mohamad Habes, Yuemeng Li, Pamela Boimel, James Janopaul-Naylor, Ying Xiao, Edgar Ben-Josef, Yong Fan
2020	J	`jnl`	Unsupervised deep learning for individualized brain functional network identification. CoRR Hongming Li, Yong Fan
2019	J	`jnl`	A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal MRI. CoRR Hongming Li, Mohamad Habes, David A. Wolk, Yong Fan
2019	—	`conf`	Adaptive Sparsity Regularization Based Collaborative Clustering for Cancer Prognosis. MICCAI (4) Hangfan Liu, Hongming Li, Yuemeng Li, Shi Yin, Pamela Boimel, James Janopaul-Naylor, Haoyu Zhong, Ying Xiao, Edgar Ben-Josef, Yong Fan
2019	—	`conf`	Collaborative Clustering Of Subjects And Radiomic Features For Predicting Clinical Outcomes Of Rectal Cancer Patients. ISBI Hangfan Liu, Hongming Li, Pamela Boimel, James Janopaul-Naylor, Haoyu Zhong, Ying Xiao, Edgar Ben-Josef, Yong Fan
2019	J	`jnl`	Context-endcoding for neural network based skull stripping in magnetic resonance imaging. CoRR Zhen Liu, Borui Xiao, Yuemeng Li, Yong Fan
2019	—	`conf`	Deep Convolutional Neural Networks For Imaging Data Based Survival Analysis Of Rectal Cancer. ISBI Hongming Li, Pamela Boimel, James Janopaul-Naylor, Haoyu Zhong, Ying Xiao, Edgar Ben-Josef, Yong Fan
2019	J	`jnl`	Deep Convolutional Neural Networks for Imaging Data Based Survival Analysis of Rectal Cancer. CoRR Hongming Li, Pamela Boimel, James Janopaul-Naylor, Haoyu Zhong, Ying Xiao, Edgar Ben-Josef, Yong Fan
2019	J	`jnl`	DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder ConvNets for Pulmonary Nodule Detection. CoRR Yuemeng Li, Hangfan Liu, Yong Fan
2019	—	`conf`	Early Prediction Of Alzheimer's Disease Dementia Based On Baseline Hippocampal MRI and 1-Year Follow-Up Cognitive Measures Using Deep Recurrent Neural Networks. ISBI Hongming Li, Yong Fan
2019	J	`jnl`	Early Prediction of Alzheimer's Disease Dementia Based on Baseline Hippocampal MRI and 1-Year Follow-Up Cognitive Measures Using Deep Recurrent Neural Networks. CoRR Hongming Li, Yong Fan
2019	J	`jnl`	Feature-Fused Context-Encoding Network for Neuroanatomy Segmentation. CoRR Yuemeng Li, Hangfan Liu, Hongming Li, Yong Fan
2019	—	`conf`	Fully-Automatic Segmentation Of Kidneys In Clinical Ultrasound Images Using A Boundary Distance Regression Network. ISBI Shi Yin, Zhengqiang Zhang, Hongming Li, Qinmu Peng, Xinge You, Susan L. Furth, Gregory E. Tasian, Yong Fan
2019	J	`jnl`	Fully-automatic segmentation of kidneys in clinical ultrasound images using a boundary distance regression network. CoRR Shi Yin, Zhengqiang Zhang, Hongming Li, Qinmu Peng, Xinge You, Susan L. Furth, Gregory E. Tasian, Yong Fan
2019	J	`jnl`	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. NeuroImage Hongming Li, Yong Fan
2019	—	`conf`	Multi-instance Deep Learning with Graph Convolutional Neural Networks for Diagnosis of Kidney Diseases Using Ultrasound Imaging. UNSURE/CLIP@MICCAI Shi Yin, Qinmu Peng, Hongming Li, Zhengqiang Zhang, Xinge You, Hangfan Liu, Katherine Fischer, Susan L. Furth, Gregory E. Tasian, Yong Fan
2019	J	`jnl`	Radiomic features from MRI distinguish myxomas from myxofibrosarcomas. BMC Medical Imaging Teresa Martin-Carreras, Hongming Li, Kumarasen Cooper, Yong Fan, Ronnie Sebro
2019	—	`conf`	The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview. BrainLes@MICCAI (2) 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, Adam Wolf, Patmaa Sridaran, Ratheesh Kalarot, Hamed Akbari, Aristeidis Sotiras, Siddhesh P. Thakur, Ragini Verma, Russell T. Shinohara, Paul A. Yushkevich, Yong Fan, Despina Kontos, Christos Davatzikos, Spyridon Bakas
2018	J	`jnl`	A Robust Reduced Rank Graph Regression Method for Neuroimaging Genetic Analysis. Neuroinformatics Xiaofeng Zhu, Weihong Zhang, Yong Fan
2018	J	`jnl`	A deep learning model integrating FCNNs and CRFs for brain tumor segmentation. Medical Image Anal. Xiaomei Zhao, Yihong Wu, Guidong Song, Zhenye Li, Yazhuo Zhang, Yong Fan
2018	J	`jnl`	Brain Age Prediction Based on Resting-State Functional Connectivity Patterns Using Convolutional Neural Networks. CoRR Hongming Li, Theodore D. Satterthwaite, Yong Fan
2018	—	`conf`	Brain Decoding from Functional MRI Using Long Short-Term Memory Recurrent Neural Networks. MICCAI (3) Hongming Li, Yong Fan
2018	—	`conf`	Brain age prediction based on resting-state functional connectivity patterns using convolutional neural networks. ISBI Hongming Li, Theodore D. Satterthwaite, Yong Fan
2018	J	`jnl`	Brain decoding from functional MRI using long short-term memory recurrent neural networks. CoRR Hongming Li, Yong Fan
2018	B	`conf`	Coupled dictionary learning for joint MR image restoration and segmentation. Image Processing Xuesong Yang, Yong Fan
2018	B	`conf`	Feature extraction using convolutional neural networks for multi-atlas based image segmentation. Image Processing Xuesong Yang, Yong Fan
2018	—	`conf`	Identification of Multi-scale Hierarchical Brain Functional Networks Using Deep Matrix Factorization. MICCAI (3) Hongming Li, Xiaofeng Zhu, Yong Fan
2018	—	`conf`	Identification of Temporal Transition of Functional States Using Recurrent Neural Networks from Functional MRI. MICCAI (3) Hongming Li, Yong Fan
2018	J	`jnl`	Identification of multi-scale hierarchical brain functional networks using deep matrix factorization. CoRR Hongming Li, Xiaofeng Zhu, Yong Fan
2018	J	`jnl`	Identification of temporal transition of functional states using recurrent neural networks from functional MRI. CoRR Hongming Li, Yong Fan
2018	J	`jnl`	Integrating Semi-supervised and Supervised Learning Methods for Label Fusion in Multi-Atlas Based Image Segmentation. Frontiers Neuroinformatics Qiang Zheng, Yihong Wu, Yong Fan
2018	—	`conf`	Integrating semi-supervised label propagation and random forests for multi-atlas based hippocampus segmentation. ISBI Qiang Zheng, Yong Fan
2018	J	`jnl`	Integrating semi-supervised label propagation and random forests for multi-atlas based hippocampus segmentation. CoRR Qiang Zheng, Yong Fan
2018	J	`jnl`	Non-Rigid Image Registration Using Self-Supervised Fully Convolutional Networks without Training Data. CoRR Hongming Li, Yong Fan
2018	—	`conf`	Non-rigid image registration using self-supervised fully convolutional networks without training data. ISBI Hongming Li, Yong Fan
2018	A*	`conf`	Parameter-Free Centralized Multi-Task Learning for Characterizing Developmental Sex Differences in Resting State Functional Connectivity. AAAI Xiaofeng Zhu, Hongming Li, Yong Fan
2018	J	`jnl`	Subsequent Boundary Distance Regression and Pixelwise Classification Networks for Automatic Kidney Segmentation in Ultrasound Images. CoRR Shi Yin, Qinmu Peng, Hongming Li, Zhengqiang Zhang, Xinge You, Susan L. Furth, Gregory E. Tasian, Yong Fan
2018	J	`jnl`	Transfer learning for diagnosis of congenital abnormalities of the kidney and urinary tract in children based on Ultrasound imaging data. CoRR Qiang Zheng, Gregory Tasian, Yong Fan
2018	—	`conf`	Transfer learning for diagnosis of congenital abnormalities of the kidney and urinary tract in children based on ultrasound imaging data. ISBI Qiang Zheng, Gregory Tasian, Yong Fan
2017	—	`conf`	3D Brain Tumor Segmentation Through Integrating Multiple 2D FCNNs. BrainLes@MICCAI Xiaomei Zhao, Yihong Wu, Guidong Song, Zhenye Li, Yazhuo Zhang, Yong Fan
2017	J	`jnl`	A deep learning model integrating FCNNs and CRFs for brain tumor segmentation. CoRR Xiaomei Zhao, Yihong Wu, Guidong Song, Zhenye Li, Yazhuo Zhang, Yong Fan
2017	J	`jnl`	A dynamic graph-cuts method with integrated multiple feature maps for segmenting kidneys in ultrasound images. CoRR Qiang Zheng, Steven Warner, Gregory Tasian, Yong Fan
2017	J	`jnl`	Deep Ordinal Ranking for Multi-Category Diagnosis of Alzheimer's Disease using Hippocampal MRI data. CoRR Hongming Li, Mohamad Habes, Yong Fan
2017	J	`jnl`	Feature selection by optimizing a lower bound of conditional mutual information. Inf. Sci. Hanyang Peng, Yong Fan
2017	J	`jnl`	Large-scale sparse functional networks from resting state fMRI. NeuroImage Hongming Li, Theodore D. Satterthwaite, Yong Fan
2017	J	`jnl`	Metric Learning for Multi-atlas based Segmentation of Hippocampus. Neuroinformatics Hancan Zhu, Hewei Cheng, Xuesong Yang, Yong Fan
2017	J	`jnl`	Non-rigid image registration using fully convolutional networks with deep self-supervision. CoRR Hongming Li, Yong Fan
2017	Misc	`conf`	Pattern recognition of functional brain networks. ICASSP Yong Fan, Christos Davatzikos
2016	—	`conf`	Brain Tumor Segmentation Using a Fully Convolutional Neural Network with Conditional Random Fields. BrainLes@MICCAI Xiaomei Zhao, Yihong Wu, Guidong Song, Zhenye Li, Yong Fan, Yazhuo Zhang
2016	J	`jnl`	Groupwise Image Registration Guided by a Dynamic Digraph of Images. Neuroinformatics Zhenyu Tang, Yong Fan
2016	—	`conf`	Identification of subject-specific brain functional networks using a collaborative sparse nonnegative matrix decomposition method. ISBI Hongming Li, Ted Satterthwaite, Yong Fan
2016	—	`conf`	Individualized brain parcellation with integrated funcitonal and morphological information. ISBI Hongming Li, Yong Fan
2016	—	`conf`	Metric learning for label fusion in multi-atlas based image segmentation. ISBI Hancan Zhu, Hewei Cheng, Xuesong Yang, Yong Fan
2015	B	`conf`	Random local binary pattern based label learning for multi-atlas segmentation. Image Processing Hancan Zhu, Hewei Cheng, Yong Fan
2014	—	`conf`	Functional parcellation of the hippocampus by clustering resting state fMRI signals. ISBI Hewei Cheng, Yong Fan
2014	—	`conf`	Hierarchical organization of the functional brain identified using floating aggregation of functional signals. ISBI Hongming Li, Yong Fan
2014	B	`conf`	Semi-supervised clustering for parcellating brain regions based on resting state fMRI data. Image Processing Hewei Cheng, Yong Fan
2014	—	`conf`	Spatial alignment of human cortex by matching hierarchical patterns of functional connectivity. ISBI Hongming Li, Yong Fan
2013	B	`conf`	Functional brain atlas construction for brain network analysis. Image Processing Hongming Li, Yong Fan
2013	J	`jnl`	Group information guided ICA for fMRI data analysis. NeuroImage Yuhui Du, Yong Fan
2013	J	`jnl`	Groupwise spatial normalization of fMRI data based on multi-range functional connectivity patterns. NeuroImage Di Jiang, Yuhui Du, Hewei Cheng, Tianzi Jiang, Yong Fan
2013	—	`conf`	Image registration based on dynamic directed graphs with groupwise image similarity. ISBI Zhenyu Tang, Di Jiang, Yong Fan
2013	—	`conf`	Matching Functional Connectivity Patterns for Spatial Correspondence Detection in fMRI Registration. AE-CAI Zhenyu Tang, Di Jiang, Hongming Li, Yong Fan
2012	—	`conf`	Frequency Offset and Channel Estimation in Co-Relay Cooperative OFDM Systems. VTC Spring Zhongshan Zhang, Jian Liu, Keping Long, Yong Fan
2012	—	`conf`	Groupwise fMRI registration using multi-range functional connectivity patterns. ISBI Di Jiang, Tianzi Jiang, Yong Fan
2012	B	`conf`	Identification of subject specific and functional consistent ROIs using semi-supervised learning. Image Processing Yuhui Du, Hongming Li, Hong Wu, Yong Fan
2012	—	`conf`	Improved Cell Search and Initial Synchronization Using PSS in LTE. VTC Spring Zhongshan Zhang, Ming Lei, Keping Long, Yong Fan
2012	B	`conf`	Intrinsic functional connectivity pattern based brain parcellation using normalized cut. Image Processing Hewei Cheng, Dandan Song, Hong Wu, Yong Fan
2012	—	`conf`	Iterative multi-atlas based segmentation with multi-channel image registration and Jackknife Context Model. ISBI Yongfu Hao, Tianzi Jiang, Yong Fan
2012	—	`conf`	Label propagation with robust initialization for brain tumor segmentation. ISBI Hongming Li, Yong Fan
2012	B	`conf`	Local label learning (L3) for multi-atlas based segmentation. Image Processing Yongfu Hao, Jieqiong Liu, Yunyun Duan, Xinqing Zhang, Chunshui Yu, Tianzi Jiang, Yong Fan
2012	B	`conf`	Shape-constrained multi-atlas based segmentation with multichannel registration. Image Processing Yongfu Hao, Tianzi Jiang, Yong Fan
2012	B	`conf`	fMRI alignment based on local functional connectivity patterns. Image Processing Di Jiang, Yuhui Du, Hewei Cheng, Tianzi Jiang, Yong Fan
2011	J	`jnl`	Brain anatomical networks in early human brain development. NeuroImage Yong Fan, Feng Shi, Jeffrey Keith Smith, Weili Lin, John H. Gilmore, Dinggang Shen
2011	J	`jnl`	Discriminant analysis of functional connectivity patterns on Grassmann manifold. NeuroImage Yong Fan, Yong Liu, Hong Wu, Yihui Hao, Haihong Liu, Zhening Liu, Tianzi Jiang
2011	—	`conf`	Ordinal Ranking for Detecting Mild Cognitive Impairment and Alzheimer's Disease Based on Multimodal Neuroimages and CSF Biomarkers. MBIA Yong Fan
2011	J	`jnl`	Sex differences in grey matter atrophy patterns among AD and aMCI patients: Results from ADNI. NeuroImage Martha Skup, Hongtu Zhu, Yaping Wang, Kelly S. Giovanello, Ja-an Lin, Dinggang Shen, Feng Shi, Wei Gao, Weili Lin, Yong Fan, Heping Zhang
2010	J	`jnl`	Construction of multi-region-multi-reference atlases for neonatal brain MRI segmentation. NeuroImage Feng Shi, Pew-Thian Yap, Yong Fan, John H. Gilmore, Weili Lin, Dinggang Shen
2010	B	`conf`	Discriminant analysis of resting-state functional connectivity patterns on the Grassmann manifold. Image Processing Yong Fan, Yong Liu, Tianzi Jiang, Zhening Liu, Yihui Hao, Haihong Liu
2010	J	`jnl`	High-dimensional pattern regression using machine learning: From medical images to continuous clinical variables. NeuroImage Ying Wang, Yong Fan, Priyanka Bhatt, Christos Davatzikos
2010	—	`conf`	Joint estimation of multiple clinical variables of neurological diseases from imaging patterns. ISBI Yong Fan, Daniel Kaufer, Dinggang Shen
2010	—	`conf`	Neonatal brain MRI segmentation by building multi-region-multireference atlases. ISBI Feng Shi, Pew-Thian Yap, Yong Fan, John H. Gilmore, Weili Lin, Dinggang Shen
2010	J	`jnl`	Neonatal brain image segmentation in longitudinal MRI studies. NeuroImage Feng Shi, Yong Fan, Songyuan Tang, John H. Gilmore, Weili Lin, Dinggang Shen
2010	—	`conf`	Segmentation of Brain Tumors in Multi-parametric MR Images via Robust Statistic Information Propagation. ACCV (4) Hongming Li, Ming Song, Yong Fan
2009	J	`jnl`	Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: Results from ADNI. NeuroImage Chandan Misra, Yong Fan, Christos Davatzikos
2009	B	`conf`	Brain tissue segmentation of neonatal MR images using a longitudinal subject-specific probabilistic atlas. Image Processing Feng Shi, Yong Fan, Songyuan Tang, John H. Gilmore, Weili Lin, Dinggang Shen
2009	—	`conf`	Cortical enhanced tissue segmentation of neonatal brain MR images acquired by a dedicated phased array coil. CVPR Workshops Feng Shi, Pew-Thian Yap, Yong Fan, Jie-Zhi Cheng, Lawrence L. Wald, Guido Gerig, Weili Lin, Dinggang Shen
2009	B	`conf`	Integrated feature extraction and selection for neuroimage classification. Image Processing Yong Fan, Dinggang Shen
2009	J	`jnl`	RABBIT: Rapid alignment of brains by building intermediate templates. NeuroImage Songyuan Tang, Yong Fan, Guorong Wu, Minjeong Kim, Dinggang Shen
2009	B	`conf`	RABBIT: rapid alignment of brains by building intermediate templates. Image Processing Songyuan Tang, Yong Fan, Minjeong Kim, Dinggang Shen
2009	—	`conf`	Regularization of diffusion tensor field using coupled robust anisotropic diffusion filters. CVPR Workshops Songyuan Tang, Yong Fan, Hongtu Zhu, Pew-Thian Yap, Wei Gao, Weili Lin, Dinggang Shen
2008	B	`conf`	Feature selection and classification of multiparametric medical images using bagging and SVM. Image Processing Yong Fan, Susan M. Resnick, Christos Davatzikos
2008	J	`jnl`	Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline. NeuroImage Yong Fan, Nematollah Batmanghelich, Christopher M. Clark, Christos Davatzikos, Alzheimer's Disease Neuroimaging Initiative
2008	J	`jnl`	Structural and functional biomarkers of prodromal Alzheimer's disease: A high-dimensional pattern classification study. NeuroImage Yong Fan, Susan M. Resnick, Xiaoying Wu, Christos Davatzikos
2007	J	`jnl`	COMPARE: Classification of Morphological Patterns Using Adaptive Regional Elements. IEEE Trans. Medical Imaging Yong Fan, Dinggang Shen, Ruben C. Gur, Raquel E. Gur, Christos Davatzikos
2007	J	`jnl`	Multivariate examination of brain abnormality using both structural and functional MRI. NeuroImage Yong Fan, Hengyi Rao, Hallam Hurt, Joan M. Giannetta, Marc Korczykowski, David Shera, Brian B. Avants, James C. Gee, Jiongjiong Wang, Dinggang Shen
2006	—	`conf`	Detecting Cognitive States from fMRI Images by Machine Learning and Multivariate Classification. CVPR Workshops Yong Fan, Dinggang Shen, Christos Davatzikos
2006	—	`conf`	Diagnosis of Brain Abnormality Using both Structural and Functional MR Images. EMBC Yong Fan, Hengyi Rao, Joan M. Giannetta, Hallam Hurt, Jiongjiong Wang, Christos Davatzikos, Dinggang Shen
2006	—	`conf`	Diagnosis of Brain Abnormality Using both Structural and Functional MR Images. EMBC (Supplement) Yong Fan, Hengyi Rao, Joan M. Giannetta, Hallam Hurt, Jiongjiong Wang, Christos Davatzikos, Dinggang Shen
2005	A	`conf`	Classification of Structural Images via High-Dimensional Image Warping, Robust Feature Extraction, and SVM. MICCAI Yong Fan, Dinggang Shen, Christos Davatzikos
2005	J	`jnl`	Classifying spatial patterns of brain activity with machine learning methods: Application to lie detection. NeuroImage Christos Davatzikos, Kosha Ruparel, Yong Fan, Dinggang Shen, M. Acharyya, James Loughead, Ruben C. Gur, Daniel D. Langleben
2005	—	`conf`	Consistent Estimation of Cardiac Motions by 4D Image Registration. MICCAI (2) Dinggang Shen, Hari Sundar, Zhong Xue, Yong Fan, Harold Litt
2003	J	`jnl`	A modified Gabor filter design method for fingerprint image enhancement. Pattern Recognit. Lett. Jianwei Yang, Lifeng Liu, Tianzi Jiang, Yong Fan
2002	—	`conf`	Medical Image Registration Using Parallel Genetic Algorithms. EvoWorkshops Yong Fan, Tianzi Jiang, David J. Evans
2002	J	`jnl`	On the accelerated Richardson method (ARM) for solving positive definite linear systems. Neural Parallel Sci. Comput. David J. Evans, Yong Fan, Tianzi Jiang
2002	B	`conf`	Parallel genetic algorithm for 3D medical image analysis. SMC Tianzi Jiang, Yong Fan
2002	J	`jnl`	The Parallel Genetic Algorithm for Electromagnetic Inverse Scattering of a Conductor. Int. J. Comput. Math. Yong Fan, Tianzi Jiang, David J. Evans
2002	J	`jnl`	Volumetric Segmentation of Brain Images Using Parallel Genetic Algorithms. IEEE Trans. Medical Imaging Yong Fan, Tianzi Jiang, David J. Evans
2001	C	`conf`	A parallel genetic algorithm for cell image segmentation. IWCIA Tianzi Jiang, Faguo Yang, Yong Fan, David J. Evans