Dajiang Zhu

Orcid: 0000-0002-6940-3911

According to our database1, Dajiang Zhu authored at least 165 papers between 2010 and 2025.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Learning lifespan brain anatomical correspondence via cortical developmental continuity transfer.
Medical Image Anal., 2025

2024
An Iterative Optimizing Framework for Radiology Report Summarization With ChatGPT.
IEEE Trans. Artif. Intell., August, 2024

Editorial Special Issue on Explainable and Generalizable Deep Learning for Medical Imaging.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

MEET: A Multi-Band EEG Transformer for Brain States Decoding.
IEEE Trans. Biomed. Eng., May, 2024

Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations.
IEEE Trans. Cogn. Dev. Syst., April, 2024

Instruction-ViT: Multi-modal prompts for instruction learning in vision transformer.
Inf. Fusion, April, 2024

Mask-guided BERT for few-shot text classification.
Neurocomputing, 2024

Evaluation of OpenAI o1: Opportunities and Challenges of AGI.
CoRR, 2024

GP-GPT: Large Language Model for Gene-Phenotype Mapping.
CoRR, 2024

Role of Data-driven Regional Growth Model in Shaping Brain Folding Patterns.
CoRR, 2024

Brain Dialogue Interface (BDI): A User-Friendly fMRI Model for Interactive Brain Decoding.
CoRR, 2024

Eye-gaze Guided Multi-modal Alignment Framework for Radiology.
CoRR, 2024

Gyri vs. Sulci: Core-Periphery Organization in Functional Brain Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

CP-CLIP: Core-Periphery Feature Alignment CLIP for Zero-Shot Medical Image Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Mild Cognitive Impairment Classification Using A Novel Finer-Scale Brain Connectome.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Enhancing Group-Wise Consistency in 3-Hinge Gyrus Matching Via Anatomical Embedding and Structural Connectivity Optimization.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-Supervised Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Genetic Influence on Gyral Peaks.
NeuroImage, October, 2023

A generic framework for embedding human brain function with temporally correlated autoencoder.
Medical Image Anal., October, 2023

Characterizing functional brain networks via Spatio-Temporal Attention 4D Convolutional Neural Networks (STA-4DCNNs).
Neural Networks, January, 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

Exploring the Influence of Information Entropy Change in Learning Systems.
CoRR, 2023

PolicyGPT: Automated Analysis of Privacy Policies with Large Language Models.
CoRR, 2023

RadOnc-GPT: A Large Language Model for Radiation Oncology.
CoRR, 2023

Radiology-Llama2: Best-in-Class Large Language Model for Radiology.
CoRR, 2023

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

Hierarchical Semantic Tree Concept Whitening for Interpretable Image Classification.
CoRR, 2023

Exploring Multimodal Approaches for Alzheimer's Disease Detection Using Patient Speech Transcript and Audio Data.
CoRR, 2023

Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference.
CoRR, 2023

SAMAug: Point Prompt Augmentation for Segment Anything Model.
CoRR, 2023

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

Segment Anything Model (SAM) for Radiation Oncology.
CoRR, 2023

AD-AutoGPT: An Autonomous GPT for Alzheimer's Disease Infodemiology.
CoRR, 2023

Radiology-GPT: A Large Language Model for Radiology.
CoRR, 2023

Artificial General Intelligence for Medical Imaging.
CoRR, 2023

Instruction-ViT: Multi-Modal Prompts for Instruction Learning in ViT.
CoRR, 2023

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

Differentiate ChatGPT-generated and Human-written Medical Texts.
CoRR, 2023

ChatABL: Abductive Learning via Natural Language Interaction with ChatGPT.
CoRR, 2023

CP-CNN: Core-Periphery Principle Guided Convolutional Neural Network.
CoRR, 2023

Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task.
CoRR, 2023

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

AGI for Agriculture.
CoRR, 2023

Summary of ChatGPT/GPT-4 Research and Perspective Towards the Future of Large Language Models.
CoRR, 2023

When Brain-inspired AI Meets AGI.
CoRR, 2023

Core-Periphery Principle Guided Redesign of Self-Attention in Transformers.
CoRR, 2023

DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4.
CoRR, 2023

ChatAug: Leveraging ChatGPT for Text Data Augmentation.
CoRR, 2023

Mask-guided BERT for Few Shot Text Classification.
CoRR, 2023

Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Towards Unified Modality Understanding for Alzheimer's Disease Diagnosis Using Incomplete Multi-modality Data.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Disentangling Site Effects with Cycle-Consistent Adversarial Autoencoder for Multi-site Cortical Data Harmonization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Multimodal Deep Fusion in Hyperbolic Space for Mild Cognitive Impairment Study.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Weakly Supervised Cerebellar Cortical Surface Parcellation with Self-Visual Representation Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Predicting Diverse Functional Connectivity from Structural Connectivity Based on Multi-contexts Discriminator GAN.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

Representative Functional Connectivity Learning for Multiple Clinical Groups in Alzheimer's Disease.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Supervised Deep Tree in Alzheimer's Disease.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Multimodal Approaches for Alzheimer's Detection Using Patients' Speech and Transcript.
Proceedings of the Brain Informatics - 16th International Conference, 2023

Individual Functional Network Abnormalities Mapping via Graph Representation-Based Neural Architecture Search.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

Fine-grained Artificial Neurons in Audio-transformers for Disentangling Neural Auditory Encoding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Predicting brain structural network using functional connectivity.
Medical Image Anal., 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

BI AVAN: Brain inspired Adversarial Visual Attention Network.
CoRR, 2022

A Unified and Biologically-Plausible Relational Graph Representation of Vision Transformers.
CoRR, 2022

Rectify ViT Shortcut Learning by Visual Saliency.
CoRR, 2022

Eye-gaze-guided Vision Transformer for Rectifying Shortcut Learning.
CoRR, 2022

Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution.
CoRR, 2022

Mask-guided Vision Transformer (MG-ViT) for Few-Shot Learning.
CoRR, 2022

Discovering Dynamic Functional Brain Networks via Spatial and Channel-wise Attention.
CoRR, 2022

Disentangling Spatial-Temporal Functional Brain Networks via Twin-Transformers.
CoRR, 2022

Classification of Alzheimer's Disease via Vision Transformer: Classification of Alzheimer's Disease via Vision Transformer.
Proceedings of the PETRA '22: The 15th International Conference on PErvasive Technologies Related to Assistive Environments, Corfu, Greece, 29 June 2022, 2022

Embedding Human Brain Function via Transformer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

ClinicalRadioBERT: Knowledge-Infused Few Shot Learning for Clinical Notes Named Entity Recognition.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Hierarchical Brain Networks Decomposition via Prior Knowledge Guided Deep Belief Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Graph Representation Neural Architecture Search for Optimal Spatial/Temporal Functional Brain Network Decomposition.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

2021
Deep Fusion of Brain Structure-Function in Mild Cognitive Impairment.
Medical Image Anal., 2021

Representing Alzheimer's Disease Progression via Deep Prototype Tree.
CoRR, 2021

Classification of Mild Cognitive Impairment by Fusing Neuroimaging and Gene Expression Data: Classification of Mild Cognitive Impairment by Fusing Neuroimaging and Gene Expression Data.
Proceedings of the PETRA '21: The 14th PErvasive Technologies Related to Assistive Environments Conference, Virtual Event, Greece, 29 June, 2021

Exploring the Functional Difference of Gyri/Sulci via Hierarchical Interpretable Autoencoder.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Recovering Brain Structural Connectivity from Functional Connectivity via Multi-GCN Based Generative Adversarial Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Jointly Analyzing Alzheimer's Disease Related Structure-Function Using Deep Cross-Model Attention Network.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Learning Latent Structure Over Deep Fusion Model of Mild Cognitive Impairment.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

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

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

A Cascaded Multi-modality Analysis in Mild Cognitive Impairment.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Multi-modal Image Prediction via Spatial Hybrid U-Net.
Proceedings of the Multiscale Multimodal Medical Imaging - First International Workshop, 2019

Accessing Latent Connectome of Mild Cognitive Impairment via Discriminant Structure Learning.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Identifying Configurational Abnormalities in Alzheimer'S Disease Progression Using Multi-View Structure Connectome.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Analyzing Mild Cognitive Impairment Progression via Multi-view Structural Learning.
Proceedings of the Information Processing in Medical Imaging, 2019

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

Exploring latent structures of Alzheimer's disease via structure learning.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Efficient Test-Time Predictor Learning With Group-Based Budget.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Classification of Major Depressive Disorder via Multi-Site Weighted LASSO Model.
CoRR, 2017

Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression.
CoRR, 2017

Classification of Major Depressive Disorder via Multi-site Weighted LASSO Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

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

Embedded sparse representation of fMRI data via group-wise dictionary optimization.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Population learning of structural connectivity by white matter encoding and decoding.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

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

Anatomy-Guided Dense Individualized and Common Connectivity-Based Cortical Landmarks (A-DICCCOL).
IEEE Trans. Biomed. Eng., 2015

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

Towards Robust and Specific Causal Discovery from fMRI.
CoRR, 2015

Genetic analysis of structural brain connectivity using DICCCOL models of diffusion MRI in 522 twins.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Heritability of brain network topology in 853 twins and siblings.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014
Group-Wise FMRI Activation Detection on DICCCOL Landmarks.
Neuroinformatics, 2014

Fusing DTI and fMRI data: A survey of methods and applications.
NeuroImage, 2014

Intrinsic Functional Component Analysis via Sparse Representation on Alzheimer's Disease Neuroimaging Initiative Database.
Brain Connect., 2014

Decoding Auditory Saliency from FMRI Brain Imaging.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Group-Wise Optimization of Common Brain Landmarks with Joint Structural and Functional Regulations.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Connectomics signature for characterizaton of mild cognitive impairment and schizophrenia.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Sparse representation of working memory processes based on fMRI data.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Group-wise consistent cortical parcellation based on DTI-derived connectional profiles.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Group-wise connection activation detection based on DICCCOL.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Detecting cell assembly interaction patterns via Bayesian based change-point detection and graph inference model.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Dynamic network partition via Bayesian connectivity bi-partition change point model.
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

Generalized fMRI activation detection via Bayesian magnitude change point model.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Discovering network-level functional interactions from working memory fMRI data.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Integrating group-wise functional brain activities via point processes.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Group-wise optimization and individualized prediction of structural connectomes.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
Inferring Group-Wise Consistent Multimodal Brain Networks via Multi-View Spectral Clustering.
IEEE Trans. Medical Imaging, September, 2013

Representing and Retrieving Video Shots in Human-Centric Brain Imaging Space.
IEEE Trans. Image Process., 2013

FMRI Signal Analysis Using Empirical Mean Curve Decomposition.
IEEE Trans. Biomed. Eng., 2013

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

Fine-Granularity Functional Interaction Signatures for Characterization of Brain Conditions.
Neuroinformatics, 2013

Predicting cortical ROIs via joint modeling of anatomical and connectional profiles.
Medical Image Anal., 2013

Characterization of task-free and task-performance brain states via functional connectome patterns.
Medical Image Anal., 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

Modeling Cognitive Processes via Multi-stage Consistent Functional Response Detection.
Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013

Group-Wise FMRI Activation Detection on Corresponding Cortical Landmarks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Sparse Representation of Group-Wise FMRI Signals.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Anatomy-Guided Discovery of Large-Scale Consistent Connectivity-Based Cortical Landmarks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Predictive Models of Resting State Networks for Assessment of Altered Functional Connectivity in MCI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Inferring functional network-based signatures via structurally-weighted LASSO model.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Predicting functional cortical ROIs via joint modeling of anatomical and connectional profiles.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Identifying functional connectomics abnormality in attention deficit hyperactivity disorder.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Discovering common functional connectomics signatures.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Construction of multi-scale brain networks via DICCCOL landmarks.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Identifying consistent brain networks via maximizing predictability of functional connectome from structural connectome.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Assessing regularity and variability of cortical folding patterns of dicccols.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Exploring High-Order Functional Interactions via Structurally-Weighted LASSO Models.
Proceedings of the Information Processing in Medical Imaging, 2013

Construction of Multi-scale Common Brain Networks Based on DICCCOL.
Proceedings of the Information Processing in Medical Imaging, 2013

2012
Individual Functional ROI Optimization Via Maximization of Group-Wise Consistency of Structural and Functional Profiles.
Neuroinformatics, 2012

Optimization of functional brain ROIs via maximization of consistency of structural connectivity profiles.
NeuroImage, 2012

Visual analytics of brain networks.
NeuroImage, 2012

Characterization of Task-Free/Task-Performance Brain States.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Group-Wise Consistent Fiber Clustering Based on Multimodal Connectional and Functional Profiles.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Optimization of fMRI-Derived ROIs Based on Coherent Functional Interaction Patterns.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Inferring Group-Wise Consistent Multimodal Brain Networks via Multi-view Spectral Clustering.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Group-Wise Consistent Parcellation of Gyri via Adaptive Multi-view Spectral Clustering of Fiber Shapes.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

2011
Identification of cortical landmarks based on structural connectivity to subcortical regions.
Int. J. Comput. Biol. Drug Des., 2011

Identification of Cortical Landmarks Based on Consistent Connectivity to Subcortical Structures.
Proceedings of the Multimodal Brain Image Analysis, First International Workshop, 2011

Predicting Functional Brain ROIs via Fiber Shape Models.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Optimization of functional brain ROIs via maximization of consistency of structural connectivity profiles.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Fine granularity parcellation of gyrus via fiber shape and connectivity based features.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Discovering Dense and Consistent Landmarks in the Brain.
Proceedings of the Information Processing in Medical Imaging, 2011

Activated Fibers: Fiber-Centered Activation Detection in Task-Based FMRI.
Proceedings of the Information Processing in Medical Imaging, 2011

2010
Individualized ROI Optimization via Maximization of Group-wise Consistency of Structural and Functional Profiles.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Bridging low-level features and high-level semantics via fMRI brain imaging for video classification.
Proceedings of the 18th International Conference on Multimedia 2010, 2010

Automatic cortical surface parcellation based on fiber density information.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Human-centered attention models for video summarization.
Proceedings of the 12th International Conference on Multimodal Interfaces / 7. International Workshop on Machine Learning for Multimodal Interaction, 2010


  Loading...