Yong Fan 0001 - researchr alias

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Viewing Publication 1 - 37 from 37

2025

SegCSR: Weakly-Supervised Cortical Surfaces Reconstruction from Brain Ribbon SegmentationsHao Zheng 0006, Xiaoyang Chen, Hongming Li, Tingting Chen, Peixian Liang, Yong Fan 0001. isbi 2025: 1-4 [doi]

2024

Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-DisambiguationXiaoyang Chen, Hao Zheng 0006, Yuemeng Li, Yuncong Ma, Liang Ma, Hongming Li, Yong Fan 0001. cvpr 2024: 11747-11756 [doi]

Enhancing Whole Slide Image Classification with Discriminative and Contrastive LearningPeixian Liang, Hao Zheng 0006, Hongming Li, Yuxin Gong, Spyridon Bakas, Yong Fan 0001. miccai 2024: 102-112 [doi]

2023

Bipartite Organization of Cerebellar-Cortical Networks Identified based on Intrinsic Functional ConnectivityHewei Cheng, Zhengyu Ren, Hongmin Ding, Dengke Li, Yong Fan 0001. isbi 2023: 1-4 [doi]

Deep Clustering Survival Machines with Interpretable Expert DistributionsBojian Hou, Hongming Li, Zhicheng Jiao, Zhen Zhou, Hao Zheng, Yong Fan 0001. isbi 2023: 1-4 [doi]

Computing personalized brain functional networks from fMRI using self-supervised deep learningHongming Li, Dhivya Srinivasan, Chuanjun Zhuo, Zaixu Cui, Raquel E. Gur, Ruben C. Gur, Desmond J. Oathes, Christos Davatzikos, Theodore D. Satterthwaite, Yong Fan 0001. mia, 85:102756, April 2023. [doi]

Predicting Alzheimer's Disease and Quantifying Asymmetric Degeneration of the Hippocampus Using Deep Learning of Magnetic Resonance Imaging DataXi Liu, Hongming Li, Yong Fan 0001. isbi 2023: 1-4 [doi]

SurfNN: Joint Reconstruction of Multiple Cortical Surfaces from Magnetic Resonance ImagesHao Zheng, Hongming Li, Yong Fan 0001. isbi 2023: 1-4 [doi]

Coupled Reconstruction of Cortical Surfaces by Diffeomorphic Mesh DeformationHao Zheng, Hongming Li, Yong Fan 0001. nips 2023: [doi]

2022

Harmonizing functional connectivity reduces scanner effects in community detectionAndrew A. Chen, Dhivya Srinivasan, Raymond Pomponio, Yong Fan 0001, Ilya M. Nasrallah, Susan M. Resnick, Lori L. Beason-Held, Christos Davatzikos, Theodore D. Satterthwaite, Dani S. Bassett, Russell T. Shinohara, Haochang Shou. neuroimage, 256:119198, 2022. [doi]

Computation of transcranial magnetic stimulation electric fields using self-supervised deep learningHongming Li, Zhi-De Deng, Desmond J. Oathes, Yong Fan 0001. neuroimage, 264:119705, 2022. [doi]

Harmonization of multi-site functional connectivity measures in tangent space improves brain age predictionZhen Zhou, Dhivya Srinivasan, Hongming Li, Ahmed Abdulkadir, Haochang Shou, Christos Davatzikos, Yong Fan 0001. mibam 2022: [doi]

2021

2020

Improving Diagnosis of Autism Spectrum Disorder and Disentangling its Heterogeneous Functional Connectivity Patterns Using Capsule NetworksZhicheng Jiao, Hongming Li, Yong Fan 0001. isbi 2020: 1331-1334 [doi]

Robust Collaborative Clustering of Subjects and Radiomic Features for Cancer PrognosisHangfan Liu, Hongming Li, Mohamad Habes, Yuemeng Li, Pamela Boimel, James Janopaul-Naylor, Ying Xiao, Edgar Ben-Josef, Yong Fan 0001. tbe, 67(10):2735-2744, 2020. [doi]

Regularized-Ncut: Robust and homogeneous functional parcellation of neonate and adult brain networksQinmu Peng, Minhui Ouyang, Jiaojian Wang, Qinlin Yu, Chenying Zhao, Michelle Slinger, Hongming Li, Yong Fan 0001, Bo Hong, Hao Huang. artmed, 106:101872, 2020. [doi]

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 DataShi Yin, Qinmu Peng, Hongming Li, Zhengqiang Zhang, Xinge You, Katherine Fischer, Susan L. Furth, Gregory E. Tasian, Yong Fan 0001. isbi 2020: 1347-1350 [doi]

A 3D Convolutional Encapsulated Long Short-Term Memory (3DConv-LSTM) Model for Denoising fMRI DataChongyue Zhao, Hongming Li, Zhicheng Jiao, Tianming Du, Yong Fan 0001. miccai 2020: 479-488 [doi]

2018

Identification of Multi-scale Hierarchical Brain Functional Networks Using Deep Matrix FactorizationHongming Li, Xiaofeng Zhu, Yong Fan 0001. miccai 2018: 223-231 [doi]

Brain age prediction based on resting-state functional connectivity patterns using convolutional neural networksHongming Li, Theodore D. Satterthwaite, Yong Fan 0001. isbi 2018: 101-104 [doi]

Identification of Temporal Transition of Functional States Using Recurrent Neural Networks from Functional MRIHongming Li, Yong Fan 0001. miccai 2018: 232-239 [doi]

Brain Decoding from Functional MRI Using Long Short-Term Memory Recurrent Neural NetworksHongming Li, Yong Fan 0001. miccai 2018: 320-328 [doi]

Non-rigid image registration using self-supervised fully convolutional networks without training dataHongming Li, Yong Fan 0001. isbi 2018: 1075-1078 [doi]

Feature extraction using convolutional neural networks for multi-atlas based image segmentationXuesong Yang, Yong Fan 0001. miip 2018: 1057439 [doi]

Coupled dictionary learning for joint MR image restoration and segmentationXuesong Yang, Yong Fan 0001. miip 2018: [doi]

A Robust Reduced Rank Graph Regression Method for Neuroimaging Genetic AnalysisXiaofeng Zhu, Weihong Zhang, Yong Fan 0001. ni, 16(3-4):351-361, 2018. [doi]

Parameter-Free Centralized Multi-Task Learning for Characterizing Developmental Sex Differences in Resting State Functional ConnectivityXiaofeng Zhu, Hongming Li, Yong Fan 0001. AAAI 2018: 2660-2668 [doi]

2017

Large-scale sparse functional networks from resting state fMRIHongming Li, Theodore D. Satterthwaite, Yong Fan 0001. neuroimage, 156:1-13, 2017. [doi]

2006

2002

Parallel genetic algorithm for 3D medical image analysisTianzi Jiang, Yong Fan 0001. SMC 2002: 6 [doi]

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