Xin Cao

发表

A deep learning model combining multimodal radiomics, clinical and imaging features for differentiating ocular adnexal lymphoma from idiopathic orbital inflammation

Huangjian Yi, Xiaowei He, Fengjun Zhao, 2022, European Radiology.

ABPO-TVSCAD: alternating Bregman proximity operators approach based on TVSCAD regularization for bioluminescence tomography

K. Li, Huangjian Yi, Fengjun Zhao, 2022, Physics in medicine and biology.

MRI‐Based Radiomics Nomogram for Preoperative Differentiation Between Ocular Adnexal Lymphoma and Idiopathic Orbital Inflammation

Xiaowei He, Fengjun Zhao, Tao Zhang, 2022, Journal of magnetic resonance imaging : JMRI.

MSCN-NET: Multi-stage cascade neural network based on attention mechanism for Čerenkov luminescence tomography

K. Li, Huangjian Yi, Fengjun Zhao, 2022, Journal of Applied Physics.

A deep learning model combining multimodal radiomics, clinical and imaging features for differentiating ocular adnexal lymphoma from idiopathic orbital inflammation

Huangjian Yi, Xiaowei He, Dong Wang, 2022, European Radiology.

Diagnosis of endometrium hyperplasia and screening of endometrial intraepithelial neoplasia in histopathological images using a global-to-local multi-scale convolutional neural network

Xiaowei He, Fengjun Zhao, H. Du, 2022, Comput. Methods Programs Biomed..

GCR-Net: 3D Graph Convolution-based Residual Network for Robust Reconstruction in Cerenkov Luminescence Tomography

Huangjian Yi, Kang Li, Fengjun Zhao, 2022, Journal of Innovative Optical Health Sciences.

Logarithmic total variation regularization via preconditioned conjugate gradient method for sparse reconstruction of bioluminescence tomography

Huangjian Yi, Fengjun Zhao, Linzhi Su, 2023, Comput. Methods Programs Biomed..

K-CapsNet: K-Nearest Neighbor Based Convolution Capsule Network for Cerenkov Luminescence Tomography Reconstruction

Linzhi Su, Mengfei Du, Xin Cao, 2023, 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Generalized conditional gradient method with adaptive regularization parameters for fluorescence molecular tomography.

Huangjian Yi, Fengjun Zhao, Linzhi Su, 2023, Optics express.

Sparse reconstruction based on dictionary learning and group structure strategy for cone-beam X-ray luminescence computed tomography.

Huangjian Yi, Fengjun Zhao, Linzhi Su, 2023, Optics express.

CORONet: A Cross-Sequence Joint Representation and Hypergraph Convolutional Network for Classifying Molecular Subtypes of Breast Cancer Using Incomplete DCE-MRI

Xiaowei He, Fengjun Zhao, Yuqing Hou, 2024, IEEE Journal of Biomedical and Health Informatics.

Computer Methods and Programs in Biomedicine

Fengjun Zhao, Xiaoyang Xie, Xin Cao, 2022 .

A Deep Learning Model for Predicting Molecular Subtype of Breast Cancer by Fusing Multiple Sequences of DCE-MRI From Two Institutes.

Fengjun Zhao, Yuqing Hou, Weibo Gao, 2024, Academic radiology.

Consistent Learning-Based Breast Tumor Segmentation and Its Application in Sentinel Lymph Node Metastasis Prediction

Xiaowei He, Fengjun Zhao, Xin Cao, 2023, 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).