Shu Zhang

Orcid: 0000-0002-2049-0970

Affiliations:
  • Deepwise Healthcare, AI Lab, Beijing, China
  • Northwestern Polytechnical University, School of Computer Science, Xian, China
  • University of Georgia, Cortical Architecture Imaging and Discovery Lab, USA (PhD 2018)


According to our database1, Shu Zhang authored at least 78 papers between 2013 and 2024.

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Bibliography

2024
Correction to "A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation".
IEEE Trans. Medical Imaging, February, 2024

Large Language Models for Robotics: Opportunities, Challenges, and Perspectives.
CoRR, 2024

Understanding LLMs: A Comprehensive Overview from Training to Inference.
CoRR, 2024

2023
Functional brain network identification and fMRI augmentation using a VAE-GAN framework.
Comput. Biol. Medicine, October, 2023

Differentiating brain states via multi-clip random fragment strategy-based interactive bidirectional recurrent neural network.
Neural Networks, August, 2023

Advancing 3D medical image analysis with variable dimension transform based supervised 3D pre-training.
Neurocomputing, April, 2023

Adaptive structured sparse multiview canonical correlation analysis for multimodal brain imaging association identification.
Sci. China Inf. Sci., April, 2023

Editorial: Computational modeling methods for naturalistic neuroimaging data.
Frontiers Comput. Neurosci., February, 2023

Holistic Evaluation of GPT-4V for Biomedical Imaging.
CoRR, 2023

ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data.
CoRR, 2023

Evaluating Large Language Models for Radiology Natural Language Processing.
CoRR, 2023

Review of Large Vision Models and Visual Prompt Engineering.
CoRR, 2023

A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics.
CoRR, 2023

Prompt Engineering for Healthcare: Methodologies and Applications.
CoRR, 2023

ImpressionGPT: An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT.
CoRR, 2023

Joint Representation of Functional and Structural Profiles for Identifying Common and Consistent 3-Hinge Gyral Folding Landmark.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Prediction of Cognitive Scores by Joint Use of Movie-Watching fMRI Connectivity and Eye Tracking via Attention-CensNet.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Correlation-Aware Mutual Learning for Semi-supervised Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Development and validation of an abnormality-derived deep-learning diagnostic system for major respiratory diseases.
npj Digit. Medicine, 2022

A novel ADHD classification method based on resting state temporal templates (RSTT) using spatiotemporal attention auto-encoder.
Neural Comput. Appl., 2022

Modeling spatio-temporal patterns of holistic functional brain networks via multi-head guided attention graph neural networks (Multi-Head GAGNNs).
Medical Image Anal., 2022

Gumbel-Softmax based Neural Architecture Search for Hierarchical Brain Networks Decomposition.
Medical Image Anal., 2022

Learning brain representation using recurrent Wasserstein generative adversarial net.
Comput. Methods Programs Biomed., 2022

Bridging Natruralistic Stimuli, Eye Movement And Brain Activity Via Cca And Locality Preserving Projection.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Prediction of Cognitive Scores by Movie-Watching FMRI Connectivity and Eye Movement Via Spectral Graph Convolutions.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation.
IEEE Trans. Medical Imaging, 2021

Deep Variational Autoencoder for Mapping Functional Brain Networks.
IEEE Trans. Cogn. Dev. Syst., 2021

Automatic pancreas segmentation based on lightweight DCNN modules and spatial prior propagation.
Pattern Recognit., 2021

AI-based analysis of CT images for rapid triage of COVID-19 patients.
npj Digit. Medicine, 2021

SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation.
Medical Image Anal., 2021

A Guided Attention 4D Convolutional Neural Network for Modeling Spatio-Temporal Patterns of Functional Brain Networks.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Multi-head GAGNN: A Multi-head Guided Attention Graph Neural Network for Modeling Spatio-temporal Patterns of Holistic Brain Functional Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Exploring Gyro-Sulcal Functional Connectivity Differences Across Task Domains via Anatomy-Guided Spatio-Temporal Graph Convolutional Networks.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

CCF-Net: Composite Context Fusion Network with Inter-Slice Correlative Fusion for Multi-Disease Lesion Detection.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals.
CoRR, 2020

Deep Feature Mining via Attention-based BiLSTM-GCN for Human Motor Imagery Recognition.
CoRR, 2020

Hierarchical Organization of Functional Brain Networks Revealed by Hybrid Spatiotemporal Deep Learning.
Brain Connect., 2020

Supervised Brain Network Learning Based on Deep Recurrent Neural Networks.
IEEE Access, 2020

Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Exploring Functional Difference Between Gyri and Sulci via Region-Specific 1D Convolutional Neural Networks.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Interwound Structural and Functional Difference Between Preterm and Term Infant Brains Revealed by Multi-view CCA.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

2019
Experimental Comparisons of Sparse Dictionary Learning and Independent Component Analysis for Brain Network Inference From fMRI Data.
IEEE Trans. Biomed. Eng., 2019

Deep Learning Models Unveiled Functional Difference Between Cortical Gyri and Sulci.
IEEE Trans. Biomed. Eng., 2019

Discovering hierarchical common brain networks via multimodal deep belief network.
Medical Image Anal., 2019

Semi-supervised Lesion Detection with Reliable Label Propagation and Missing Label Mining.
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

From Unilateral to Bilateral Learning: Detecting Mammogram Masses with Contrasted Bilateral Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

MVP-Net: Multi-view FPN with Position-Aware Attention for Deep Universal Lesion Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Exploring Intrinsic Functional Differences of Gyri, Sulci and 2-Hinge, 3-Hinge Joints on Cerebral Cortex.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Automatic Recognition of fMRI-Derived Functional Networks Using 3-D Convolutional Neural Networks.
IEEE Trans. Biomed. Eng., 2018

Temporal Dynamics Assessment of Spatial Overlap Pattern of Functional Brain Networks Reveals Novel Functional Architecture of Cerebral Cortex.
IEEE Trans. Biomed. Eng., 2018

Spatio-temporal modeling of connectome-scale brain network interactions via time-evolving graphs.
NeuroImage, 2018

Exploring Fiber Skeletons via Joint Representation of Functional Networks and Structural Connectivity.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

3D Deep Convolutional Neural Network Revealed the Value of Brain Network Overlap in Differentiating Autism Spectrum Disorder from Healthy Controls.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Joint representation of cortical folding, structural connectivity and functional networks.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Modeling resting state fMRI data via longitudinal supervised stochastic coordinate coding.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Characterizing task-evoked and intrinsic functional networks from task-based fMRI data via two-stage sparse dictionary learning.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Modeling task fMRI data via mixture of deep expert networks.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Joint Representation of Connectome-Scale Structural and Functional Profiles for Identification of Consistent Cortical Landmarks in Human Brains.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

A novel framework for groupwise registration of fMRI images based on common functional networks.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Exploring human brain activation via nested sparse coding and functional operators.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

FMRI data classification based on hybrid temporal and spatial sparse representation.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Predicting cortical 3-hinge locations via structural connective features.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Predicting Movie Trailer Viewer's "Like/Dislike" via Learned Shot Editing Patterns.
IEEE Trans. Affect. Comput., 2016

Group-wise consistent cortical parcellation based on connectional profiles.
Medical Image Anal., 2016

A Multi-stage Sparse Coding Framework to Explore the Effects of Prenatal Alcohol Exposure.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Modeling Functional Dynamics of Cortical Gyri and Sulci.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Exploring auditory network composition during free listening to audio excerpts via group-wise sparse representation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

2015
Holistic Atlases of Functional Networks and Interactions Reveal Reciprocal Organizational Architecture of Cortical Function.
IEEE Trans. Biomed. Eng., 2015

Sparse representation of whole-brain fMRI signals for identification of functional networks.
Medical Image Anal., 2015

Characterizing and differentiating task-based and resting state FMRI signals via two-stage dictionary learning.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Signal sampling for efficient sparse representation of resting state FMRI data.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014
Characterization of U-shape streamline fibers: Methods and applications.
Medical Image Anal., 2014

Learning fMRI-guided predictor of video shot changes.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Exploring functional brain dynamics via a Bayesian connectivity change point model.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
Meta-Analysis of Functional Roles of DICCCOLs.
Neuroinformatics, 2013

Sparse Representation of Higher-Order Functional Interaction Patterns in Task-Based FMRI Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Activated cliques: Network-based activation detection in task-based FMRI.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013


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