Validation of the proposed method is performed on both synthetic data and real samples from schizophrenia study. Results show that our algorithm outperforms ...

The model is easier to interpret than deep learning models, and we used it to identify the risk genes and abnormal brain ROIs involved in schizophrenia. The ...

The model is easier to interpret than deep learning models, and we used it to identify the risk genes and abnormal brain ROIs involved in schizophrenia. The ...

Multi-modal imaging genetics data fusion via a hypergraph-based manifold regularization: Application to schizophrenia study. Y Zhang, H Zhang, L Xiao, Y Bai, VD ...

Publications (6). Multi-Modal Imaging Genetics Data Fusion via a Hypergraph-Based Manifold Regularization: Application to Schizophrenia Study · Article. March ...

Jul 2, 2024 · Zhang, et al., Multi-modal imaging genetics data fusion via ... hypergraph-based manifold regularization: application to schizophrenia study, IEEE ...

Jul 9, 2024 · Multi-modal imaging genetics data fusion via a hypergraph-based manifold regularization: application to schizophrenia study . IEEE Trans Med ...

Multi-Modal Imaging Genetics Data Fusion via a Hypergraph-Based Manifold Regularization: Application to Schizophrenia Study. IEEE Transactions on Medical ...

Multi-Modal Imaging Genetics Data Fusion via a Hypergraph-Based Manifold Regularization: Application to Schizophrenia Study. Article. Mar 2022. Yipu Zhang ...

Nov 4, 2023 · Multi-modal imaging genetics data fusion via a hypergraph-based manifold regularization: application to schizophrenia study. IEEE Trans Med ...