Rongtao Jiang
Orcid: 0000-0003-4657-0079
According to our database1,
Rongtao Jiang
authored at least 15 papers
between 2017 and 2024.
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Bibliography
2024
Maximum Classifier Discrepancy Generative Adversarial Network for Jointly Harmonizing Scanner Effects and Improving Reproducibility of Downstream Tasks.
IEEE Trans. Biomed. Eng., April, 2024
Overcoming Atlas Heterogeneity in Federated Learning for Cross-Site Connectome-Based Predictive Modeling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available.
Medical Image Anal., August, 2023
The Individualized Prediction of Neurocognitive Function in People Living With HIV Based on Clinical and Multimodal Connectome Data.
IEEE J. Biomed. Health Informatics, April, 2023
ICA-based Individualized Differential Structure Similarity Networks for Predicting Symptom Scores in Adolescents with Major Depressive Disorder.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
Interpreting Brain Biomarkers: Challenges and solutions in interpreting machine learning-based predictive neuroimaging.
IEEE Signal Process. Mag., 2022
2021
An Attention-Based Hybrid Deep Learning Framework Integrating Temporal Coherence And Dynamics For Discriminating Schizophrenia.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
3-way Parallel Fusion of Spatial (sMRI/dMRI) and Spatio-temporal (fMRI) Data with Application to Schizophrenia.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
BNCPL: Brain-Network-based Convolutional Prototype Learning for Discriminating Depressive Disorders.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships.
NeuroImage, 2020
2018
NeuroImage, 2018
Abnormal Dynamic Functional Network Connectivity and Graph Theoretical Analysis in Major Depressive Disorder.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data.
NeuroImage, 2017
Discriminating schizophrenia from normal controls using resting state functional network connectivity: A deep neural network and layer-wise relevance propagation method.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017
Predicting individualized intelligence quotient scores using brainnetome-atlas based functional connectivity.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017