Shu Zhang
Orcid: 0000-0002-2049-0970Affiliations:
- 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 83 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
Identifying Influential nodes in Brain Networks via Self-Supervised Graph-Transformer.
CoRR, 2024
A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks.
CoRR, 2024
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
Frontiers Comput. Neurosci., February, 2023
ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data.
CoRR, 2023
CoRR, 2023
A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics.
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
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
IEEE Trans. Medical Imaging, 2021
IEEE Trans. Cogn. Dev. Syst., 2021
Automatic pancreas segmentation based on lightweight DCNN modules and spatial prior propagation.
Pattern Recognit., 2021
npj Digit. Medicine, 2021
SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation.
Medical Image Anal., 2021
Int. J. Neural Syst., 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
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
IEEE Trans. Biomed. Eng., 2019
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
Towards Rich Feature Discovery With Class Activation Maps Augmentation for Person Re-Identification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 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
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
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2016
IEEE Trans. Affect. Comput., 2016
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
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
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2014
Medical Image Anal., 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
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
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013