Yong Fan
Orcid: 0000-0001-9977-6113Affiliations:
- University of Pennsylvania, Perelman School of Medicine, Department of Radiology, Philadelphia, PA, USA
- Chinese Academy of Sciences, Institute of Automation, LIAMA Center for Computational Medicine, Beijing, China (former)
According to our database1,
Yong Fan
authored at least 126 papers
between 2001 and 2023.
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Bibliography
2023
Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study.
NeuroImage, April, 2023
Computing personalized brain functional networks from fMRI using self-supervised deep learning.
Medical Image Anal., April, 2023
Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
SurfNN: Joint Reconstruction of Multiple Cortical Surfaces from Magnetic Resonance Images.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Predicting Alzheimer's Disease and Quantifying Asymmetric Degeneration of the Hippocampus Using Deep Learning of Magnetic Resonance Imaging Data.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Bipartite Organization of Cerebellar-Cortical Networks Identified based on Intrinsic Functional Connectivity.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data.
npj Digit. Medicine, 2022
Computation of transcranial magnetic stimulation electric fields using self-supervised deep learning.
NeuroImage, 2022
NeuroImage, 2022
Medical Image Anal., 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.
CoRR, 2022
Harmonization of multi-site functional connectivity measures in tangent space improves brain age prediction.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022
2021
Medical Image Anal., 2021
Adaptive convolutional neural networks for accelerating magnetic resonance imaging via <i>k</i>-space data interpolation.
Medical Image Anal., 2021
Fusing functional connectivity with network nodal information for sparse network pattern learning of functional brain networks.
Inf. Fusion, 2021
Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics.
CoRR, 2021
Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning.
CoRR, 2021
2020
Robust Collaborative Clustering of Subjects and Radiomic Features for Cancer Prognosis.
IEEE Trans. Biomed. Eng., 2020
Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan.
NeuroImage, 2020
Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks.
Medical Image Anal., 2020
Unsupervised deep learning for individualized brain functional network identification.
CoRR, 2020
Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging.
CoRR, 2020
MDReg-Net: Multi-resolution diffeomorphic image registration using fully convolutional networks with deep self-supervision.
CoRR, 2020
Adaptive convolutional neural networks for k-space data interpolation in fast magnetic resonance imaging.
CoRR, 2020
Regularized-Ncut: Robust and homogeneous functional parcellation of neonate and adult brain networks.
Artif. Intell. Medicine, 2020
A 3D Convolutional Encapsulated Long Short-Term Memory (3DConv-LSTM) Model for Denoising fMRI Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 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.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Improving Diagnosis of Autism Spectrum Disorder and Disentangling its Heterogeneous Functional Connectivity Patterns Using Capsule Networks.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
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.
NeuroImage, 2019
Context-endcoding for neural network based skull stripping in magnetic resonance imaging.
CoRR, 2019
A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal MRI.
CoRR, 2019
DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder ConvNets for Pulmonary Nodule Detection.
CoRR, 2019
BMC Medical Imaging, 2019
Multi-instance Deep Learning with Graph Convolutional Neural Networks for Diagnosis of Kidney Diseases Using Ultrasound Imaging.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 2019
Adaptive Sparsity Regularization Based Collaborative Clustering for Cancer Prognosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Fully-Automatic Segmentation Of Kidneys In Clinical Ultrasound Images Using A Boundary Distance Regression Network.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Collaborative Clustering Of Subjects And Radiomic Features For Predicting Clinical Outcomes Of Rectal Cancer Patients.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 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.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Deep Convolutional Neural Networks For Imaging Data Based Survival Analysis Of Rectal Cancer.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
2018
Neuroinformatics, 2018
Medical Image Anal., 2018
Integrating Semi-supervised and Supervised Learning Methods for Label Fusion in Multi-Atlas Based Image Segmentation.
Frontiers Neuroinformatics, 2018
Subsequent Boundary Distance Regression and Pixelwise Classification Networks for Automatic Kidney Segmentation in Ultrasound Images.
CoRR, 2018
Feature extraction using convolutional neural networks for multi-atlas based image segmentation.
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Identification of Multi-scale Hierarchical Brain Functional Networks Using Deep Matrix Factorization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Brain Decoding from Functional MRI Using Long Short-Term Memory Recurrent Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Identification of Temporal Transition of Functional States Using Recurrent Neural Networks from Functional MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Transfer learning for diagnosis of congenital abnormalities of the kidney and urinary tract in children based on ultrasound imaging data.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Integrating semi-supervised label propagation and random forests for multi-atlas based hippocampus segmentation.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Brain age prediction based on resting-state functional connectivity patterns using convolutional neural networks.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Non-rigid image registration using self-supervised fully convolutional networks without training data.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Parameter-Free Centralized Multi-Task Learning for Characterizing Developmental Sex Differences in Resting State Functional Connectivity.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Neuroinformatics, 2017
Inf. Sci., 2017
Deep Ordinal Ranking for Multi-Category Diagnosis of Alzheimer's Disease using Hippocampal MRI data.
CoRR, 2017
Non-rigid image registration using fully convolutional networks with deep self-supervision.
CoRR, 2017
A dynamic graph-cuts method with integrated multiple feature maps for segmenting kidneys in ultrasound images.
CoRR, 2017
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2016
Neuroinformatics, 2016
Brain Tumor Segmentation Using a Fully Convolutional Neural Network with Conditional Random Fields.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Identification of subject-specific brain functional networks using a collaborative sparse nonnegative matrix decomposition method.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Individualized brain parcellation with integrated funcitonal and morphological information.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
Proceedings of the Medical Imaging 2015: Image Processing, 2015
2014
Semi-supervised clustering for parcellating brain regions based on resting state fMRI data.
Proceedings of the Medical Imaging 2014: Image Processing, 2014
Hierarchical organization of the functional brain identified using floating aggregation of functional signals.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Spatial alignment of human cortex by matching hierarchical patterns of functional connectivity.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
2013
Groupwise spatial normalization of fMRI data based on multi-range functional connectivity patterns.
NeuroImage, 2013
Proceedings of the Medical Imaging 2013: Image Processing, 2013
Matching Functional Connectivity Patterns for Spatial Correspondence Detection in fMRI Registration.
Proceedings of the Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions, 2013
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2012
Proceedings of the 75th IEEE Vehicular Technology Conference, 2012
Proceedings of the 75th IEEE Vehicular Technology Conference, 2012
Proceedings of the Medical Imaging 2012: Image Processing, 2012
Proceedings of the Medical Imaging 2012: Image Processing, 2012
Proceedings of the Medical Imaging 2012: Image Processing, 2012
Identification of subject specific and functional consistent ROIs using semi-supervised learning.
Proceedings of the Medical Imaging 2012: Image Processing, 2012
Intrinsic functional connectivity pattern based brain parcellation using normalized cut.
Proceedings of the Medical Imaging 2012: Image Processing, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Iterative multi-atlas based segmentation with multi-channel image registration and Jackknife Context Model.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
2011
Sex differences in grey matter atrophy patterns among AD and aMCI patients: Results from ADNI.
NeuroImage, 2011
NeuroImage, 2011
Ordinal Ranking for Detecting Mild Cognitive Impairment and Alzheimer's Disease Based on Multimodal Neuroimages and CSF Biomarkers.
Proceedings of the Multimodal Brain Image Analysis, First International Workshop, 2011
2010
High-dimensional pattern regression using machine learning: From medical images to continuous clinical variables.
NeuroImage, 2010
Construction of multi-region-multi-reference atlases for neonatal brain MRI segmentation.
NeuroImage, 2010
Discriminant analysis of resting-state functional connectivity patterns on the Grassmann manifold.
Proceedings of the Medical Imaging 2010: Image Processing, 2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Joint estimation of multiple clinical variables of neurological diseases from imaging patterns.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Segmentation of Brain Tumors in Multi-parametric MR Images via Robust Statistic Information Propagation.
Proceedings of the Computer Vision - ACCV 2010, 2010
2009
NeuroImage, 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.
NeuroImage, 2009
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Brain tissue segmentation of neonatal MR images using a longitudinal subject-specific probabilistic atlas.
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Regularization of diffusion tensor field using coupled robust anisotropic diffusion filters.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009
Cortical enhanced tissue segmentation of neonatal brain MR images acquired by a dedicated phased array coil.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009
2008
Structural and functional biomarkers of prodromal Alzheimer's disease: A high-dimensional pattern classification study.
NeuroImage, 2008
Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline.
NeuroImage, 2008
Feature selection and classification of multiparametric medical images using bagging and SVM.
Proceedings of the Medical Imaging 2008: Image Processing, 2008
2007
IEEE Trans. Medical Imaging, 2007
Multivariate examination of brain abnormality using both structural and functional MRI.
NeuroImage, 2007
2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
Detecting Cognitive States from fMRI Images by Machine Learning and Multivariate Classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006
2005
Classifying spatial patterns of brain activity with machine learning methods: Application to lie detection.
NeuroImage, 2005
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005
Classification of Structural Images via High-Dimensional Image Warping, Robust Feature Extraction, and SVM.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005
2003
Pattern Recognit. Lett., 2003
2002
IEEE Trans. Medical Imaging, 2002
On the accelerated Richardson method (ARM) for solving positive definite linear systems.
Neural Parallel Sci. Comput., 2002
The Parallel Genetic Algorithm for Electromagnetic Inverse Scattering of a Conductor.
Int. J. Comput. Math., 2002
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics: Bridging the Digital Divide, Yasmine Hammamet, Tunisia, October 6-9, 2002, 2002
Proceedings of the Applications of Evolutionary Computing, 2002
2001
Proceedings of the 8th International Workshop on Combinatorial Image Analysis, 2001