Feng Shi
Orcid: 0000-0003-1522-9943Affiliations:
- Shanghai United Imaging Intelligence Co, Department of Research and Development, China
- Cedars-Sinai Medical Center, Biomedical Imaging Research Institute, Los Angeles, CA, USA
- University of North Carolina at Chapel Hill, Department of Radiology and BRIC, NC, USA (2008 - 2016)
- Chinese Academy of Sciences, Institute of Automation, Beijing, China (PhD 2008)
According to our database1,
Feng Shi
authored at least 148 papers
between 2007 and 2024.
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Bibliography
2024
Coarse-to-fine registration and time-intensity curves constraint for liver DCE-MRI synthesis.
Comput. Medical Imaging Graph., January, 2024
2023
Multimodal transformer network for incomplete image generation and diagnosis of Alzheimer's disease.
Comput. Medical Imaging Graph., December, 2023
IEEE Trans. Medical Imaging, November, 2023
IEEE J. Biomed. Health Informatics, November, 2023
Brain Status Transferring Generative Adversarial Network for Decoding Individualized Atrophy in Alzheimer's Disease.
IEEE J. Biomed. Health Informatics, October, 2023
Discrimination Between Glioblastoma and Solitary Brain Metastasis Using Conventional MRI and Diffusion-Weighted Imaging Based on a Deep Learning Algorithm.
J. Digit. Imaging, August, 2023
Semi-Supervised Multi-View Fusion for Identifying CAP and COVID-19 With Unlabeled CT Images.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2023
Segment aorta and localize landmarks simultaneously on noncontrast CT using a multitask learning framework for patients without severe vascular disease.
Comput. Biol. Medicine, June, 2023
Structural Attention Graph Neural Network for Diagnosis and Prediction of COVID-19 Severity.
IEEE Trans. Medical Imaging, February, 2023
Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge.
CoRR, 2023
CoRR, 2023
Deep learning reveals the common spectrum underlying multiple brain disorders in youth and elders from brain functional networks.
CoRR, 2023
Modeling Life-Span Brain Age from Large-Scale Dataset Based on Multi-level Information Fusion.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Consistent and Accurate Segmentation for Serial Infant Brain MR Images with Registration Assistance.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Identifying Alzheimer's Disease-Induced Topology Alterations in Structural Networks Using Convolutional Neural Networks.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Feature-Based Transformer with Incomplete Multimodal Brain Images for Diagnosis of Neurodegenerative Diseases.
Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Multi-Scale Supervised Contrastive Learning for Benign-Malignant Classification of Pulmonary Nodules in Chest Ct Scans.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
MT-NeT: Multi-Modality Transfer Learning Network for Automated Carotid Vessel Wall Segmentation using Sparse Annotation in MRI.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
IEEE Trans. Medical Imaging, 2022
Semi-Supervised Deep Transfer Learning for Benign-Malignant Diagnosis of Pulmonary Nodules in Chest CT Images.
IEEE Trans. Medical Imaging, 2022
Task-Induced Pyramid and Attention GAN for Multimodal Brain Image Imputation and Classification in Alzheimer's Disease.
IEEE J. Biomed. Health Informatics, 2022
Application value of a deep learning method based on a 3D V-Net convolutional neural network in the recognition and segmentation of the auditory ossicles.
Frontiers Neuroinformatics, 2022
Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity.
CoRR, 2022
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
Proceedings of the Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis, 2022
Proceedings of the Data Augmentation, Labelling, and Imperfections, 2022
Modular Graph Encoding and Hierarchical Readout for Functional Brain Network Based eMCI Diagnosis.
Proceedings of the Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis, 2022
Multi-scale and Focal Region Based Deep Learning Network for Fine Brain Parcellation.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
2021
Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images.
Pattern Recognit., 2021
Recycling diagnostic MRI for empowering brain morphometric research - Critical & practical assessment on learning-based image super-resolution.
NeuroImage, 2021
Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan.
Medical Image Anal., 2021
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning.
Medical Image Anal., 2021
Medical Image Anal., 2021
Differentiation between COVID-19 and bacterial pneumonia using radiomics of chest computed tomography and clinical features.
Int. J. Imaging Syst. Technol., 2021
CoRR, 2021
BMC Medical Imaging, 2021
Computing infection distributions and longitudinal evolution patterns in lung CT images.
BMC Medical Imaging, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Consistent Segmentation of Longitudinal Brain MR Images with Spatio-Temporal Constrained Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Building Dynamic Hierarchical Brain Networks and Capturing Transient Meta-states for Early Mild Cognitive Impairment Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Diagnosis of Hippocampal Sclerosis from Clinical Routine Head MR Images Using Structure-constrained Super-Resolution Network.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
A Multi-scale Graph Network with Multi-head Attention for Histopathology Image Diagnosisn.
Proceedings of the MICCAI Workshop on Computational Pathology, 2021
SMILE: Sparse-Attention based Multiple Instance Contrastive Learning for Glioma Sub-Type Classification Using Pathological Images.
Proceedings of the MICCAI Workshop on Computational Pathology, 2021
2020
Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia.
IEEE Trans. Medical Imaging, 2020
Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning.
IEEE Trans. Medical Imaging, 2020
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT.
IEEE J. Biomed. Health Informatics, 2020
Neuroinformatics, 2020
Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data.
Medical Image Anal., 2020
Designing weighted correlation kernels in convolutional neural networks for functional connectivity based brain disease diagnosis.
Medical Image Anal., 2020
Frontiers Comput. Neurosci., 2020
Assessing Road Traffic Safety During COVID-19: Inequality, Irregularity, and Severity.
CoRR, 2020
Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images.
CoRR, 2020
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT.
CoRR, 2020
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19.
CoRR, 2020
Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images.
CoRR, 2020
Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification.
CoRR, 2020
MRI Super-Resolution with GAN and 3D Multi-Level DenseNet: Smaller, Faster, and Better.
CoRR, 2020
Ischemic Stroke Segmentation from CT Perfusion Scans Using Cluster-Representation Learning.
Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Detection of Discriminative Neurological Circuits Using Hierarchical Graph Convolutional Networks in fMRI Sequences.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020
Joint Appearance-Feature Domain Adaptation: Application to QSM Segmentation Transfer.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Two-Stage Mapping-Segmentation Framework for Delineating COVID-19 Infections from Heterogeneous CT Images.
Proceedings of the Thoracic Image Analysis - Second International Workshop, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
IEEE Trans. Cybern., 2019
IEEE Trans. Biomed. Eng., 2019
Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises.
IEEE Trans. Pattern Anal. Mach. Intell., 2019
Frontiers Neuroinformatics, 2019
Dynamic Spectral Graph Convolution Networks with Assistant Task Training for Early MCI Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Regression-Based Line Detection Network for Delineation of Largely Deformed Brain Midline.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Novel Iterative Attention Focusing Strategy for Joint Pathology Localization and Prediction of MCI Progression.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
2018
Medical Image Anal., 2018
Multi-modal Neuroimaging Data Fusion via Latent Space Learning for Alzheimer's Disease Diagnosis.
Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 2018
Registration-Free Infant Cortical Surface Parcellation Using Deep Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Developing Novel Weighted Correlation Kernels for Convolutional Neural Networks to Extract Hierarchical Functional Connectivities from fMRI for Disease Diagnosis.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018
Efficient and Accurate MRI Super-Resolution Using a Generative Adversarial Network and 3D Multi-level Densely Connected Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRI.
IEEE Trans. Biomed. Eng., 2017
Joint Reconstruction and Segmentation of 7T-like MR Images from 3T MRI Based on Cascaded Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
2016
Consistent Spatial-Temporal Longitudinal Atlas Construction for Developing Infant Brains.
IEEE Trans. Medical Imaging, 2016
IEEE Trans. Image Process., 2016
Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data.
NeuroImage, 2016
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
LATEST: Local AdapTivE and Sequential Training for Tissue Segmentation of Isointense Infant Brain MR Images.
Proceedings of the Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging, 2016
Proceedings of the Patch-Based Techniques in Medical Imaging, 2016
Convolutional Neural Network for Reconstruction of 7T-like Images from 3T MRI Using Appearance and Anatomical Features.
Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
LINKS: Learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images.
NeuroImage, 2015
Construction of 4D high-definition cortical surface atlases of infants: Methods and applications.
Medical Image Anal., 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Isointense Infant Brain Segmentation by Stacked Kernel Canonical Correlation Analysis.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015
Improving Accuracy of Automatic Hippocampus Segmentation in Routine MRI by Features Learned from Ultra-High Field MRI.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015
Identification of Infants at Risk for Autism Using Multi-parameter Hierarchical White Matter Connectomes.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Hierarchical Reconstruction of 7T-like Images from 3T MRI Using Multi-level CCA and Group Sparsity.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
A Multi-level Canonical Correlation Analysis Scheme for Standard-Dose PET Image Estimation.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015
Joint Feature-Sample Selection and Robust Classification for Parkinson's Disease Diagnosis.
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015
2014
NeuroImage, 2014
Integration of sparse multi-modality representation and anatomical constraint for isointense infant brain MR image segmentation.
NeuroImage, 2014
Measuring the dynamic longitudinal cortex development in infants by reconstruction of temporally consistent cortical surfaces.
NeuroImage, 2014
Simultaneous and consistent labeling of longitudinal dynamic developing cortical surfaces in infants.
Medical Image Anal., 2014
Proceedings of the Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 2014
Constructing 4D Infant Cortical Surface Atlases Based on Dynamic Developmental Trajectories of the Cortex.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
2013
Neuroinformatics, 2013
Integration of Sparse Multi-modality Representation and Geometrical Constraint for Isointense Infant Brain Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Automated Segmentation of CBCT Image Using Spiral CT Atlases and Convex Optimization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Multi-atlas Based Simultaneous Labeling of Longitudinal Dynamic Cortical Surfaces in Infants.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Patch-driven neonatal brain MRI segmentation with sparse representation and level sets.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Measuring longitudinally dynamic cortex development in infants by reconstruction of consistent cortical surfaces.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2012
Altered structural connectivity in neonates at genetic risk for schizophrenia: A combined study using morphological and white matter networks.
NeuroImage, 2012
NeuroImage, 2012
4D Segmentation of Longitudinal Brain MR Images with Consistent Cortical Thickness Measurement.
Proceedings of the Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
2011
Automatic segmentation of neonatal images using convex optimization and coupled level sets.
NeuroImage, 2011
Sex differences in grey matter atrophy patterns among AD and aMCI patients: Results from ADNI.
NeuroImage, 2011
Proceedings of the Multimodal Brain Image Analysis, First International Workshop, 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
2010
Construction of multi-region-multi-reference atlases for neonatal brain MRI segmentation.
NeuroImage, 2010
The Alzheimer's Disease Neuroimaging Initiative: Consistent 4D Cortical Thickness Measurement for Longitudinal Neuroimaging Study.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Automatic Segmentation of Neonatal Images Using Convex Optimization and Coupled Level Set Method.
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
2009
Brain tissue segmentation of neonatal MR images using a longitudinal subject-specific probabilistic atlas.
Proceedings of the Medical Imaging 2009: Image Processing, 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
A Surface-Based Fractal Information Dimension Method for Cortical Complexity Analysis.
Proceedings of the Medical Imaging and Augmented Reality, 4th International Workshop, 2008
2007
Regional Homogeneity and Anatomical Parcellation for fMRI Image Classification: Application to Schizophrenia and Normal Controls.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
Proceedings of the Digital Human Modeling, 2007