Juanjuan Zhao

Orcid: 0000-0001-8134-9076

Affiliations:
  • Taiyuan University of Technology, Taiyuan, China


According to our database1, Juanjuan Zhao authored at least 27 papers between 2019 and 2025.

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Bibliography

2025
Anatomy-Based Self-supervised Pre-training for Scale-Robust Hierarchical Representations in Chest X-Rays.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

A Segmentation-Based Spatial Continuity Intensifying State Space Model for KRAS Mutation Identification in Colorectal Cancer.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024
Two-stream vision transformer based multi-label recognition for TCM prescriptions construction.
Comput. Biol. Medicine, March, 2024

CHNet: A multi-task global-local Collaborative Hybrid Network for KRAS mutation status prediction in colorectal cancer.
Artif. Intell. Medicine, 2024

2023
A progressive phased attention model fused histopathology image features and gene features for lung cancer staging prediction.
Int. J. Comput. Assist. Radiol. Surg., October, 2023

A Fast and Secured Vehicle-to-Vehicle Energy Trading Based on Blockchain Consensus in the Internet of Electric Vehicles.
IEEE Trans. Veh. Technol., June, 2023

FDTrans: Frequency Domain Transformer Model for predicting subtypes of lung cancer using multimodal data.
Comput. Biol. Medicine, May, 2023

Multi-scale dense selective network based on border modeling for lung nodule segmentation.
Int. J. Comput. Assist. Radiol. Surg., May, 2023

A segmentation-based sequence residual attention model for KRAS gene mutation status prediction in colorectal cancer.
Appl. Intell., May, 2023

MSTS-Net: malignancy evolution prediction of pulmonary nodules from longitudinal CT images via multi-task spatial-temporal self-attention network.
Int. J. Comput. Assist. Radiol. Surg., April, 2023

Attention Matching Network for few-shot learning in the syndrome differentiation of cerebral stroke.
Int. J. Mach. Learn. Cybern., March, 2023

Deep learning approach for predicting lymph node metastasis in non-small cell lung cancer by fusing image-gene data.
Eng. Appl. Artif. Intell., 2023

PreGenerator: TCM Prescription Recommendation Model Based on Retrieval and Generation Method.
IEEE Access, 2023

Two-domain adaptive attention network for TCM auxiliary diagnosis with hand images.
Proceedings of the 15th International Conference on Bioinformatics and Biomedical Technology, 2023

2022
Segmentation-based multi-scale attention model for KRAS mutation prediction in rectal cancer.
Int. J. Mach. Learn. Cybern., 2022

Multi-level learning based on 3D CT image integrated medical clinic information for accurate diagnosis of pulmonary nodules.
Concurr. Comput. Pract. Exp., 2022

Improved heterogeneous data fusion and multi-scale feature selection method for lung cancer subtype classification.
Concurr. Comput. Pract. Exp., 2022

BAC: A block alliance consensus mechanism for the mine consortium blockchain.
Concurr. Comput. Pract. Exp., 2022

Static-Dynamic coordinated Transformer for Tumor Longitudinal Growth Prediction.
Comput. Biol. Medicine, 2022

MS-ResNet: disease-specific survival prediction using longitudinal CT images and clinical data.
Int. J. Comput. Assist. Radiol. Surg., 2022

Semantic consistency generative adversarial network for cross-modality domain adaptation in ultrasound thyroid nodule classification.
Appl. Intell., 2022

DAS-Net: A lung nodule segmentation method based on adaptive dual-branch attention and shadow mapping.
Appl. Intell., 2022

A Fast and Secured Peer-to-Peer Energy Trading Using Blockchain Consensus.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2022

2021
Tourism Growth Prediction Based on Deep Learning Approach.
Complex., 2021

Spatial-Frequency dual-branch attention model for determining <i>KRAS</i> mutation status in colorectal cancer with T2-weighted MRI.
Comput. Methods Programs Biomed., 2021

2020
Joint DBN and Fuzzy C-Means unsupervised deep clustering for lung cancer patient stratification.
Eng. Appl. Artif. Intell., 2020

2019
Radiomics-guided GAN for Segmentation of Liver Tumor Without Contrast Agents.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019


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