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ORCIDYong Fan 0001
Person information
- affiliation: University of Pennsylvania, Perelman School of Medicine, Department of Radiology, Philadelphia, PA, USA
- affiliation (former): Chinese Academy of Sciences, Institute of Automation, LIAMA Center for Computational Medicine, Beijing, China
Other persons with the same name
- Yong Fan (aka: Fan Yong) — disambiguation page
- Yong Fan 0002
![[0000-0002-0216-5306]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0216-5306")
— Xinyang Normal University, School of Geographic Sciences, China (and 1 more) - Yong Fan 0003 — University of Electronic Science and Technology of China (UESTC), School of Electronic Science and Engineering, Chengdu, China
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2020 – today
- 2024
[c71]Xiaoyang Chen, Hao Zheng, Yuemeng Li, Yuncong Ma, Liang Ma, Hongming Li, Yong Fan:
Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation. CVPR 2024: 11747-11756- [c70]Peixian Liang, Hao Zheng, Hongming Li, Yuxin Gong, Spyridon Bakas, Yong Fan:
Enhancing Whole Slide Image Classification with Discriminative and Contrastive Learning. MICCAI (4) 2024: 102-112 - [i32]Sheng Wang, Tianming Du, Katherine Fischer, Gregory E. Tasian, Justin Ziemba, Joanie M. Garratt, Hersh Sagreiya, Yong Fan:
CopilotCAD: Empowering Radiologists with Report Completion Models and Quantitative Evidence from Medical Image Foundation Models. CoRR abs/2404.07424 (2024) - 2023
- [j41]Hongming Li, Dhivya Srinivasan, Chuanjun Zhuo, Zaixu Cui, Raquel E. Gur, Ruben C. Gur, Desmond J. Oathes, Christos Davatzikos, Theodore D. Satterthwaite, Yong Fan:
Computing personalized brain functional networks from fMRI using self-supervised deep learning. Medical Image Anal. 85: 102756 (2023) - [j40]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:
Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study. NeuroImage 269: 119911 (2023) - [c69]Hewei Cheng, Zhengyu Ren, Hongmin Ding, Dengke Li, Yong Fan:
Bipartite Organization of Cerebellar-Cortical Networks Identified based on Intrinsic Functional Connectivity. ISBI 2023: 1-4 - [c68]Bojian Hou, Hongming Li, Zhicheng Jiao, Zhen Zhou, Hao Zheng, Yong Fan:
Deep Clustering Survival Machines with Interpretable Expert Distributions. ISBI 2023: 1-4 - [c67]Xi Liu, Hongming Li, Yong Fan:
Predicting Alzheimer's Disease and Quantifying Asymmetric Degeneration of the Hippocampus Using Deep Learning of Magnetic Resonance Imaging Data. ISBI 2023: 1-4 - [c66]Hao Zheng, Hongming Li, Yong Fan:
SurfNN: Joint Reconstruction of Multiple Cortical Surfaces from Magnetic Resonance Images. ISBI 2023: 1-4 - [c65]Hao Zheng, Hongming Li, Yong Fan:
Coupled Reconstruction of Cortical Surfaces by Diffeomorphic Mesh Deformation. NeurIPS 2023 - [i31]Bojian Hou, Hongming Li, Zhicheng Jiao, Zhen Zhou, Hao Zheng, Yong Fan:
Deep Clustering Survival Machines with Interpretable Expert Distributions. CoRR abs/2301.11826 (2023) - [i30]Hao Zheng, Hongming Li, Yong Fan:
SurfNN: Joint Reconstruction of Multiple Cortical Surfaces from Magnetic Resonance Images. CoRR abs/2303.02922 (2023) - [i29]Yuemeng Li, Yong Fan:
Medical Image Segmentation with Domain Adaptation: A Survey. CoRR abs/2311.01702 (2023) - [i28]Xiaoyang Chen, Hao Zheng, Yuemeng Li, Yuncong Ma, Liang Ma, Hongming Li, Yong Fan:
Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation. CoRR abs/2311.10696 (2023) - 2022
- [j39]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 F. Busatto, Benedicto Crespo-Facorro, Romero-Garcia Rafael, 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:
Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes. Medical Image Anal. 75: 102304 (2022) - [j38]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:
Harmonizing functional connectivity reduces scanner effects in community detection. NeuroImage 256: 119198 (2022) - [j37]Hongming Li, Zhi-De Deng, Desmond J. Oathes, Yong Fan:
Computation of transcranial magnetic stimulation electric fields using self-supervised deep learning. NeuroImage 264: 119705 (2022) - [j36]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 Bai:
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data. npj Digit. Medicine 5 (2022) - [c64]Zhen Zhou, Dhivya Srinivasan, Hongming Li, Ahmed Abdulkadir, Haochang Shou, Christos Davatzikos, Yong Fan:
Harmonization of multi-site functional connectivity measures in tangent space improves brain age prediction. Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [i27]Yuemeng Li, Hee Kwon Song, Miguel Romanello Joaquim, Stephen Pickup, Rong Zhou, Yong Fan:
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 abs/2207.02399 (2022) - 2021
- [j35]Xiaofeng Zhu, Hongming Li, Heng Tao Shen, Zheng Zhang, Yanli Ji, Yong Fan:
Fusing functional connectivity with network nodal information for sparse network pattern learning of functional brain networks. Inf. Fusion 75: 131-139 (2021) - [j34]Yuemeng Li, Hongming Li, Yong Fan:
ACEnet: Anatomical context-encoding network for neuroanatomy segmentation. Medical Image Anal. 70: 101991 (2021) - [j33]Tianming Du, Honggang Zhang, Yuemeng Li, Stephen Pickup, Mark Rosen, Rong Zhou, Hee Kwon Song, Yong Fan:
Adaptive convolutional neural networks for accelerating magnetic resonance imaging via k-space data interpolation. Medical Image Anal. 72: 102098 (2021) - [i26]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:
Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning. CoRR abs/2109.03723 (2021) - [i25]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:
Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics. CoRR abs/2110.11347 (2021) - 2020
- [j32]Qinmu Peng, Minhui Ouyang, Jiaojian Wang, Qinlin Yu, Chenying Zhao, Michelle Slinger, Hongming Li, Yong Fan, Bo Hong, Hao Huang:
Regularized-Ncut: Robust and homogeneous functional parcellation of neonate and adult brain networks. Artif. Intell. Medicine 106: 101872 (2020) - [j31]Shi Yin, Qinmu Peng, Hongming Li, Zhengqiang Zhang, Xinge You, Katherine Fischer, Susan L. Furth, Gregory E. Tasian, Yong Fan:
Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks. Medical Image Anal. 60 (2020) - [j30]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:
Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan. NeuroImage 208: 116450 (2020) - [j29]Hangfan Liu, Hongming Li, Mohamad Habes, Yuemeng Li, Pamela Boimel, James Janopaul-Naylor, Ying Xiao, Edgar Ben-Josef, Yong Fan:
Robust Collaborative Clustering of Subjects and Radiomic Features for Cancer Prognosis. IEEE Trans. Biomed. Eng. 67(10): 2735-2744 (2020) - [c63]Zhicheng Jiao, Hongming Li, Yong Fan:
Improving Diagnosis of Autism Spectrum Disorder and Disentangling its Heterogeneous Functional Connectivity Patterns Using Capsule Networks. ISBI 2020: 1331-1334 - [c62]Shi Yin, Qinmu Peng, Hongming Li, Zhengqiang Zhang, Xinge You, Katherine Fischer, Susan L. Furth, Gregory E. Tasian, Yong Fan:
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 2020: 1347-1350 - [c61]Chongyue Zhao, Hongming Li, Zhicheng Jiao, Tianming Du, Yong Fan:
A 3D Convolutional Encapsulated Long Short-Term Memory (3DConv-LSTM) Model for Denoising fMRI Data. MICCAI (7) 2020: 479-488 - [i24]Yuemeng Li, Hongming Li, Yong Fan:
ACEnet: Anatomical Context-Encoding Network for Neuroanatomy Segmentation. CoRR abs/2002.05773 (2020) - [i23]Tianming Du, Honggang Zhang, Yuemeng Li, Hee Kwon Song, Yong Fan:
Adaptive convolutional neural networks for k-space data interpolation in fast magnetic resonance imaging. CoRR abs/2006.01385 (2020) - [i22]Hongming Li, Yong Fan:
MDReg-Net: Multi-resolution diffeomorphic image registration using fully convolutional networks with deep self-supervision. CoRR abs/2010.01465 (2020) - [i21]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:
Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging. CoRR abs/2010.05355 (2020) - [i20]Hongming Li, Yong Fan:
Unsupervised deep learning for individualized brain functional network identification. CoRR abs/2012.06494 (2020)
2010 – 2019
- 2019
- [j28]Teresa Martin-Carreras, Hongming Li, Kumarasen Cooper, Yong Fan, Ronnie Sebro:
Radiomic features from MRI distinguish myxomas from myxofibrosarcomas. BMC Medical Imaging 19(1): 67:1-67:9 (2019) - [j27]Hongming Li, Yong Fan:
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 202 (2019) - [c60]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:
The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview. BrainLes@MICCAI (2) 2019: 380-394 - [c59]Hongming Li, Yong Fan:
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 2019: 368-371 - [c58]Hongming Li, Pamela Boimel, James Janopaul-Naylor, Haoyu Zhong, Ying Xiao, Edgar Ben-Josef, Yong Fan:
Deep Convolutional Neural Networks For Imaging Data Based Survival Analysis Of Rectal Cancer. ISBI 2019: 846-849 - [c57]Hangfan Liu, Hongming Li, Pamela Boimel, James Janopaul-Naylor, Haoyu Zhong, Ying Xiao, Edgar Ben-Josef, Yong Fan:
Collaborative Clustering Of Subjects And Radiomic Features For Predicting Clinical Outcomes Of Rectal Cancer Patients. ISBI 2019: 1303-1306 - [c56]Shi Yin, Zhengqiang Zhang, Hongming Li, Qinmu Peng, Xinge You, Susan L. Furth, Gregory E. Tasian, Yong Fan:
Fully-Automatic Segmentation Of Kidneys In Clinical Ultrasound Images Using A Boundary Distance Regression Network. ISBI 2019: 1741-1744 - [c55]Shi Yin, Qinmu Peng, Hongming Li, Zhengqiang Zhang, Xinge You, Hangfan Liu, Katherine Fischer, Susan L. Furth, Gregory E. Tasian, Yong Fan:
Multi-instance Deep Learning with Graph Convolutional Neural Networks for Diagnosis of Kidney Diseases Using Ultrasound Imaging. UNSURE/CLIP@MICCAI 2019: 146-154 - [c54]Hangfan Liu, Hongming Li, Yuemeng Li, Shi Yin, Pamela Boimel, James Janopaul-Naylor, Haoyu Zhong, Ying Xiao, Edgar Ben-Josef, Yong Fan:
Adaptive Sparsity Regularization Based Collaborative Clustering for Cancer Prognosis. MICCAI (4) 2019: 583-592 - [i19]Hongming Li, Pamela Boimel, James Janopaul-Naylor, Haoyu Zhong, Ying Xiao, Edgar Ben-Josef, Yong Fan:
Deep Convolutional Neural Networks for Imaging Data Based Survival Analysis of Rectal Cancer. CoRR abs/1901.01449 (2019) - [i18]Hongming Li, Yong Fan:
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 abs/1901.01451 (2019) - [i17]Shi Yin, Zhengqiang Zhang, Hongming Li, Qinmu Peng, Xinge You, Susan L. Furth, Gregory E. Tasian, Yong Fan:
Fully-automatic segmentation of kidneys in clinical ultrasound images using a boundary distance regression network. CoRR abs/1901.01982 (2019) - [i16]Yuemeng Li, Hangfan Liu, Yong Fan:
DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder ConvNets for Pulmonary Nodule Detection. CoRR abs/1904.03501 (2019) - [i15]Hongming Li, Mohamad Habes, David A. Wolk, Yong Fan:
A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal MRI. CoRR abs/1904.07282 (2019) - [i14]Yuemeng Li, Hangfan Liu, Hongming Li, Yong Fan:
Feature-Fused Context-Encoding Network for Neuroanatomy Segmentation. CoRR abs/1905.02686 (2019) - [i13]Zhen Liu, Borui Xiao, Yuemeng Li, Yong Fan:
Context-endcoding for neural network based skull stripping in magnetic resonance imaging. CoRR abs/1910.10798 (2019) - 2018
- [j26]Qiang Zheng, Yihong Wu, Yong Fan:
Integrating Semi-supervised and Supervised Learning Methods for Label Fusion in Multi-Atlas Based Image Segmentation. Frontiers Neuroinformatics 12: 69 (2018) - [j25]Xiaomei Zhao, Yihong Wu, Guidong Song, Zhenye Li, Yazhuo Zhang, Yong Fan:
A deep learning model integrating FCNNs and CRFs for brain tumor segmentation. Medical Image Anal. 43: 98-111 (2018) - [j24]Xiaofeng Zhu, Weihong Zhang, Yong Fan:
A Robust Reduced Rank Graph Regression Method for Neuroimaging Genetic Analysis. Neuroinformatics 16(3-4): 351-361 (2018) - [c53]Xiaofeng Zhu, Hongming Li, Yong Fan:
Parameter-Free Centralized Multi-Task Learning for Characterizing Developmental Sex Differences in Resting State Functional Connectivity. AAAI 2018: 2660-2668 - [c52]Hongming Li, Theodore D. Satterthwaite, Yong Fan:
Brain age prediction based on resting-state functional connectivity patterns using convolutional neural networks. ISBI 2018: 101-104 - [c51]Qiang Zheng, Yong Fan:
Integrating semi-supervised label propagation and random forests for multi-atlas based hippocampus segmentation. ISBI 2018: 154-157 - [c50]Hongming Li, Yong Fan:
Non-rigid image registration using self-supervised fully convolutional networks without training data. ISBI 2018: 1075-1078 - [c49]Qiang Zheng, Gregory Tasian, Yong Fan:
Transfer learning for diagnosis of congenital abnormalities of the kidney and urinary tract in children based on ultrasound imaging data. ISBI 2018: 1487-1490 - [c48]Hongming Li, Xiaofeng Zhu, Yong Fan:
Identification of Multi-scale Hierarchical Brain Functional Networks Using Deep Matrix Factorization. MICCAI (3) 2018: 223-231 - [c47]Hongming Li, Yong Fan:
Identification of Temporal Transition of Functional States Using Recurrent Neural Networks from Functional MRI. MICCAI (3) 2018: 232-239 - [c46]Hongming Li, Yong Fan:
Brain Decoding from Functional MRI Using Long Short-Term Memory Recurrent Neural Networks. MICCAI (3) 2018: 320-328 - [c45]Xuesong Yang, Yong Fan:
Coupled dictionary learning for joint MR image restoration and segmentation. Image Processing 2018: 105742Z - [c44]Xuesong Yang, Yong Fan:
Feature extraction using convolutional neural networks for multi-atlas based image segmentation. Image Processing 2018: 1057439 - [i12]Qiang Zheng, Yong Fan:
Integrating semi-supervised label propagation and random forests for multi-atlas based hippocampus segmentation. CoRR abs/1801.00223 (2018) - [i11]Qiang Zheng, Gregory Tasian, Yong Fan:
Transfer learning for diagnosis of congenital abnormalities of the kidney and urinary tract in children based on Ultrasound imaging data. CoRR abs/1801.00224 (2018) - [i10]Hongming Li, Yong Fan:
Non-Rigid Image Registration Using Self-Supervised Fully Convolutional Networks without Training Data. CoRR abs/1801.04012 (2018) - [i9]Hongming Li, Theodore D. Satterthwaite, Yong Fan:
Brain Age Prediction Based on Resting-State Functional Connectivity Patterns Using Convolutional Neural Networks. CoRR abs/1801.04013 (2018) - [i8]Hongming Li, Xiaofeng Zhu, Yong Fan:
Identification of multi-scale hierarchical brain functional networks using deep matrix factorization. CoRR abs/1809.05557 (2018) - [i7]Hongming Li, Yong Fan:
Identification of temporal transition of functional states using recurrent neural networks from functional MRI. CoRR abs/1809.05560 (2018) - [i6]Hongming Li, Yong Fan:
Brain decoding from functional MRI using long short-term memory recurrent neural networks. CoRR abs/1809.05561 (2018) - [i5]Shi Yin, Qinmu Peng, Hongming Li, Zhengqiang Zhang, Xinge You, Susan L. Furth, Gregory E. Tasian, Yong Fan:
Subsequent Boundary Distance Regression and Pixelwise Classification Networks for Automatic Kidney Segmentation in Ultrasound Images. CoRR abs/1811.04815 (2018) - 2017
- [j23]Hanyang Peng, Yong Fan:
Feature selection by optimizing a lower bound of conditional mutual information. Inf. Sci. 418: 652-667 (2017) - [j22]Hongming Li, Theodore D. Satterthwaite, Yong Fan:
Large-scale sparse functional networks from resting state fMRI. NeuroImage 156: 1-13 (2017) - [j21]Hancan Zhu, Hewei Cheng, Xuesong Yang, Yong Fan:
Metric Learning for Multi-atlas based Segmentation of Hippocampus. Neuroinformatics 15(1): 41-50 (2017) - [c43]Yong Fan, Christos Davatzikos:
Pattern recognition of functional brain networks. ICASSP 2017: 6309-6313 - [c42]Xiaomei Zhao, Yihong Wu, Guidong Song, Zhenye Li, Yazhuo Zhang, Yong Fan:
3D Brain Tumor Segmentation Through Integrating Multiple 2D FCNNs. BrainLes@MICCAI 2017: 191-203 - [i4]Xiaomei Zhao, Yihong Wu, Guidong Song, Zhenye Li, Yazhuo Zhang, Yong Fan:
A deep learning model integrating FCNNs and CRFs for brain tumor segmentation. CoRR abs/1702.04528 (2017) - [i3]Qiang Zheng, Steven Warner, Gregory Tasian, Yong Fan:
A dynamic graph-cuts method with integrated multiple feature maps for segmenting kidneys in ultrasound images. CoRR abs/1706.03372 (2017) - [i2]Hongming Li, Yong Fan:
Non-rigid image registration using fully convolutional networks with deep self-supervision. CoRR abs/1709.00799 (2017) - [i1]Hongming Li, Mohamad Habes, Yong Fan:
Deep Ordinal Ranking for Multi-Category Diagnosis of Alzheimer's Disease using Hippocampal MRI data. CoRR abs/1709.01599 (2017) - 2016
- [j20]Zhenyu Tang, Yong Fan:
Groupwise Image Registration Guided by a Dynamic Digraph of Images. Neuroinformatics 14(2): 131-145 (2016) - [c41]Hongming Li, Ted Satterthwaite, Yong Fan:
Identification of subject-specific brain functional networks using a collaborative sparse nonnegative matrix decomposition method. ISBI 2016: 984-987 - [c40]Hongming Li, Yong Fan:
Individualized brain parcellation with integrated funcitonal and morphological information. ISBI 2016: 992-995 - [c39]Hancan Zhu, Hewei Cheng, Xuesong Yang, Yong Fan:
Metric learning for label fusion in multi-atlas based image segmentation. ISBI 2016: 1338-1341 - [c38]Xiaomei Zhao, Yihong Wu, Guidong Song, Zhenye Li, Yong Fan, Yazhuo Zhang:
Brain Tumor Segmentation Using a Fully Convolutional Neural Network with Conditional Random Fields. BrainLes@MICCAI 2016: 75-87 - 2015
- [c37]Hancan Zhu, Hewei Cheng, Yong Fan:
Random local binary pattern based label learning for multi-atlas segmentation. Image Processing 2015: 94131B - 2014
- [c36]Hewei Cheng, Yong Fan:
Functional parcellation of the hippocampus by clustering resting state fMRI signals. ISBI 2014: 5-8 - [c35]Hongming Li, Yong Fan:
Spatial alignment of human cortex by matching hierarchical patterns of functional connectivity. ISBI 2014: 329-332 - [c34]Hongming Li, Yong Fan:
Hierarchical organization of the functional brain identified using floating aggregation of functional signals. ISBI 2014: 537-540 - [c33]Hewei Cheng, Yong Fan:
Semi-supervised clustering for parcellating brain regions based on resting state fMRI data. Image Processing 2014: 903427 - 2013
- [j19]Yuhui Du, Yong Fan:
Group information guided ICA for fMRI data analysis. NeuroImage 69: 157-197 (2013) - [j18]Di Jiang, Yuhui Du, Hewei Cheng, Tianzi Jiang, Yong Fan:
Groupwise spatial normalization of fMRI data based on multi-range functional connectivity patterns. NeuroImage 82: 355-372 (2013) - [c32]Zhenyu Tang, Di Jiang, Yong Fan:
Image registration based on dynamic directed graphs with groupwise image similarity. ISBI 2013: 492-495 - [c31]Zhenyu Tang, Di Jiang, Hongming Li, Yong Fan:
Matching Functional Connectivity Patterns for Spatial Correspondence Detection in fMRI Registration. AE-CAI 2013: 249-257 - [c30]Hongming Li, Yong Fan:
Functional brain atlas construction for brain network analysis. Image Processing 2013: 86690C - 2012
- [c29]Yongfu Hao, Tianzi Jiang, Yong Fan:
Iterative multi-atlas based segmentation with multi-channel image registration and Jackknife Context Model. ISBI 2012: 900-903 - [c28]Hongming Li, Yong Fan:
Label propagation with robust initialization for brain tumor segmentation. ISBI 2012: 1715-1718 - [c27]Di Jiang, Tianzi Jiang, Yong Fan:
Groupwise fMRI registration using multi-range functional connectivity patterns. ISBI 2012: 1763-1766 - [c26]Yongfu Hao, Jieqiong Liu, Yunyun Duan, Xinqing Zhang, Chunshui Yu, Tianzi Jiang, Yong Fan:
Local label learning (L3) for multi-atlas based segmentation. Image Processing 2012: 83142E - [c25]Yongfu Hao, Tianzi Jiang, Yong Fan:
Shape-constrained multi-atlas based segmentation with multichannel registration. Image Processing 2012: 83143N - [c24]Hewei Cheng, Dandan Song, Hong Wu, Yong Fan:
Intrinsic functional connectivity pattern based brain parcellation using normalized cut. Image Processing 2012: 83144F - [c23]Yuhui Du, Hongming Li, Hong Wu, Yong Fan:
Identification of subject specific and functional consistent ROIs using semi-supervised learning. Image Processing 2012: 83144S - [c22]Di Jiang, Yuhui Du, Hewei Cheng, Tianzi Jiang, Yong Fan:
fMRI alignment based on local functional connectivity patterns. Image Processing 2012: 831415 - [c21]