Search Results for author: Fubao Zhu

Found 7 papers, 0 papers with code

Vision Transformer-based Multimodal Feature Fusion Network for Lymphoma Segmentation on PET/CT Images

no code implementations4 Feb 2024 Huan Huang, Liheng Qiu, Shenmiao Yang, Longxi Li, Jiaofen Nan, Yanting Li, Chuang Han, Fubao Zhu, Chen Zhao, Weihua Zhou

Methods: Our lymphoma segmentation approach combines a vision transformer with dual encoders, adeptly fusing PET and CT data via multimodal cross-attention fusion (MMCAF) module.

Computed Tomography (CT) Lesion Segmentation +2

A Robust Deep Learning Method with Uncertainty Estimation for the Pathological Classification of Renal Cell Carcinoma based on CT Images

no code implementations1 Nov 2023 Ni Yao, Hang Hu, Kaicong Chen, Chen Zhao, Yuan Guo, Boya Li, Jiaofen Nan, Yanting Li, Chuang Han, Fubao Zhu, Weihua Zhou, Li Tian

By using five-fold cross-validation, a deep learning model incorporating uncertainty estimation was developed to classify RCC subtypes into clear cell RCC (ccRCC), papillary RCC (pRCC), and chromophobe RCC (chRCC).

Decision Making

MLA-BIN: Model-level Attention and Batch-instance Style Normalization for Domain Generalization of Federated Learning on Medical Image Segmentation

no code implementations29 Jun 2023 Fubao Zhu, Yanhui Tian, Chuang Han, Yanting Li, Jiaofen Nan, Ni Yao, Weihua Zhou

However, there is a problem of domain generalization (DG) in the actual de-ployment, that is, the performance of the model trained by FL in unseen domains will decrease.

Domain Generalization Federated Learning +3

Incremental Value and Interpretability of Radiomics Features of Both Lung and Epicardial Adipose Tissue for Detecting the Severity of COVID-19 Infection

no code implementations29 Jan 2023 Ni Yao, Yanhui Tian, Daniel Gama das Neves, Chen Zhao, Claudio Tinoco Mesquita, Wolney de Andrade Martins, Alair Augusto Sarmet Moreira Damas dos Santos, Yanting Li, Chuang Han, Fubao Zhu, Neng Dai, Weihua Zhou

For severity detection, the hybrid model with radiomics features of both lungs and EAT showed improvements in AUC, net reclassification improvement (NRI), and integrated discrimination improvement (IDI) compared to the model with only lung radiomics features.

severity prediction Uncertainty Quantification

Automatic reorientation by deep learning to generate short axis SPECT myocardial perfusion images

no code implementations7 Aug 2022 Fubao Zhu, Guojie Wang, Chen Zhao, Saurabh Malhotra, Min Zhao, Zhuo He, Jianzhou Shi, Zhixin Jiang, Weihua Zhou

Five-fold cross-validation with 180 stress and 201 rest MPIs was used for training and internal validation; the remaining images were used for testing.

Model Optimization Translation

A Deep Learning-based Method to Extract Lumen and Media-Adventitia in Intravascular Ultrasound Images

no code implementations21 Feb 2021 Fubao Zhu, Zhengyuan Gao, Chen Zhao, Hanlei Zhu, Yong Dong, Jingfeng Jiang, Neng Dai, Weihua Zhou

In this paper, we aim to develop a deep learning-based method using an encoder-decoder deep architecture to automatically extract both lumen and MA border.

Segmentation

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