Juanjuan Zhao
Orcid: 0000-0001-8134-9076Affiliations:
- Taiyuan University of Technology, College of Computer Science and Technology (College of Big Data), China
- Jinzhong College of Information, China
- Taiyuan University of Technology, College of Information and Computer, China (PhD 2010)
According to our database1,
Juanjuan Zhao authored at least 86 papers
between 2013 and 2026.
Collaborative distances:
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Bibliography
2026
Coordinating Challenge and Engagement: A Cross-Domain Virtual Reality Intervention with Adaptive Difficulty for Cognitive and Physical Enhancement in Cognitively Impaired Older Adults.
Int. J. Hum. Comput. Interact., March, 2026
J. Vis. Commun. Image Represent., 2026
Lung tumor growth prediction of follow-up via Spatio-Temporal Convolutional Transformer.
Biomed. Signal Process. Control., 2026
Integrative Deep Diagnostic Architecture: A Convolutional Variational Attention Transformer for Personalized and Multi-Strategy Lung Nodule Detection.
IEEE Access, 2026
Augmentation-invariant Learning Strategy via Data Augmentation for Improving Model Generalization.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
An interpretable two-branch network based on an prototype to promote group gene biomarkers discovery.
J. Supercomput., June, 2025
Cadmamba: a differential feature fusion-based neural network for coronary artery disease screening from facial videos.
Signal Image Video Process., June, 2025
Conditional Time Series Modeling for Pneumoconiosis Progression Risk Prediction with Missing Data.
Cogn. Comput., April, 2025
Learning Consistent Semantic Representation for Chest X-ray via Anatomical Localization in Self-Supervised Pre-Training.
IEEE J. Biomed. Health Informatics, March, 2025
Unearthing Subtle Cognitive Variations: A Digital Screening Tool for Detecting and Monitoring Mild Cognitive Impairment.
Int. J. Hum. Comput. Interact., February, 2025
Dual-Domain Optimization Model Based on Discrete Fourier Transform and Frequency-Domain Fusion for Remote Sensing Single-Image Super-Resolution.
IEEE Trans. Geosci. Remote. Sens., 2025
Knowl. Based Syst., 2025
Frequency domain nuances guided parallel transformer model for industrial anomaly localization.
Eng. Appl. Artif. Intell., 2025
OMSF2: optimizing multi-scale feature fusion learning for pneumoconiosis staging diagnosis through data specificity augmentation.
Complex Intell. Syst., 2025
Combating Medical Label Noise through more precise partition-correction and progressive hard-enhanced learning.
Comput. Methods Programs Biomed., 2025
A segmentation-based hierarchical feature interaction attention model for gene mutation status identification in colorectal cancer.
Comput. Medical Imaging Graph., 2025
A2ST-GCM: An adaptive spatio-temporal aware graph convolutional model for predicting pathological complete response in neoadjuvant therapy.
Biomed. Signal Process. Control., 2025
Biomed. Signal Process. Control., 2025
SFPM<sup>2</sup>: Industrial Visual Anomaly Localization with Spatial-Frequency Dual-Domain Parallel Mamba Network.
Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025
UM-DNA: A Unified Memory Bank for Discerning Near-Distribution Anomaly in Industrial Anomaly Detection and Localization.
Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 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
Proceedings of the Advanced Intelligent Computing Technology and Applications, 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
RM-SSNet: An Ultra-Lightweight Medical Image Segmenter With Recursive Multi-Scale Reasoning and Boundary Enhancement.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
EVLM-Net: Vision-Language Fusion with Efficient Upsampling for Accurate Polyp Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
DFEFNet: Dual Frequency Domain Enhanced Fusion by Physiological Synchronization for Facial Video-Based Physiological Measurement.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
2024
Effect of Virtual Reality Training on Cognitive Function and Motor Performance in Older Adults With Cognitive Impairment Receiving Health Care: A Randomized Controlled Trial.
Int. J. Hum. Comput. Interact., November, 2024
VRNPT: A Neuropsychological Test Tool for Diagnosing Mild Cognitive Impairment Using Virtual Reality and EEG Signals.
Int. J. Hum. Comput. Interact., October, 2024
Two-stream vision transformer based multi-label recognition for TCM prescriptions construction.
Comput. Biol. Medicine, March, 2024
LIR-Net:Learnable Iterative Reconstruction Network for Fan Beam CT Sparse-View Reconstruction.
IEEE Trans. Computational Imaging, 2024
DCCAFN: deep convolution cascade attention fusion network based on imaging genomics for prediction survival analysis of lung cancer.
Complex Intell. Syst., 2024
WIDINet: A diagnostic model for staging pneumoconiosis based on data expansion and KL entropy judgement.
Biomed. Signal Process. Control., 2024
CHNet: A multi-task global-local Collaborative Hybrid Network for KRAS mutation status prediction in colorectal cancer.
Artif. Intell. Medicine, 2024
2023
A cascade-based dual-domain data correction network for sparse view CT image reconstruction.
Comput. Biol. Medicine, October, 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
Residual neural network with mixed loss based on batch training technique for identification of EGFR mutation status in lung cancer.
Multim. Tools Appl., September, 2023
PMSG-Net: A priori-guided multilevel graph transformer fusion network for immunotherapy efficacy prediction.
Comput. Biol. Medicine, September, 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
Comput. Biol. Medicine, 2023
PreGenerator: TCM Prescription Recommendation Model Based on Retrieval and Generation Method.
IEEE Access, 2023
Proceedings of the 15th International Conference on Bioinformatics and Biomedical Technology, 2023
2022
DDPTransformer: Dual-Domain With Parallel Transformer Network for Sparse View CT Image Reconstruction.
IEEE Trans. Computational Imaging, 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
Concurr. Comput. Pract. Exp., 2022
Comput. Biol. Medicine, 2022
MS-ResNet: disease-specific survival prediction using longitudinal CT images and clinical data.
Int. J. Comput. Assist. Radiol. Surg., 2022
An adaptive self-guided wavelet convolutional neural network with compound loss for low-dose CT denoising.
Biomed. Signal Process. Control., 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
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2022
2021
Vis. Comput., 2021
Integrate domain knowledge in training multi-task cascade deep learning model for benign-malignant thyroid nodule classification on ultrasound images.
Eng. Appl. Artif. Intell., 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
Segmentation of Liver Lesions Without Contrast Agents With Radiomics-Guided Densely UNet-Nested GAN.
IEEE Access, 2021
DPACN: Dual Prior-Guided Astrous Convolutional Network for Adhesive Pulmonary Nodules Segmentation on CT Sequence.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021
Proceedings of the 16th International Conference on Computer Science & Education, 2021
2020
Tumour growth prediction of follow-up lung cancer via conditional recurrent variational autoencoder.
IET Image Process., 2020
Joint DBN and Fuzzy C-Means unsupervised deep clustering for lung cancer patient stratification.
Eng. Appl. Artif. Intell., 2020
Knowledge-guided synthetic medical image adversarial augmentation for ultrasonography thyroid nodule classification.
Comput. Methods Programs Biomed., 2020
Multi-branch cross attention model for prediction of KRAS mutation in rectal cancer with t2-weighted MRI.
Appl. Intell., 2020
2019
A feature extraction method for lung nodules based on a multichannel principal component analysis network (PCANet).
Multim. Tools Appl., 2019
MLW-gcForest: a multi-weighted gcForest model towards the staging of lung adenocarcinoma based on multi-modal genetic data.
BMC Bioinform., 2019
DScGANS: Integrate Domain Knowledge in Training Dual-Path Semi-supervised Conditional Generative Adversarial Networks and S3VM for Ultrasonography Thyroid Nodules Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
3D reconstruction of pulmonary nodules in PET-CT image sequences based on a novel 3D region growing method combined with ACO.
Int. J. Bio Inspired Comput., 2018
Automatic diagnosis of pulmonary nodules using a hierarchical extreme learning machine model.
Int. J. Bio Inspired Comput., 2018
2016
基于哈希编码的无线多媒体传感网络森林火灾图像识别算法 (Forest Fire Image Recognition Algorithm Based on Wireless Multimedia Sensor Network of Hash Coding).
计算机科学, 2016
An automated pulmonary parenchyma segmentation method based on an improved region growing algorithmin PET-CT imaging.
Frontiers Comput. Sci., 2016
A Deep Learning Model of Automatic Detection of Pulmonary Nodules Based on Convolution Neural Networks (CNNs).
Proceedings of the Bio-inspired Computing - Theories and Applications, 2016
2015
Cavitary nodule segmentation in computed tomography images based on self-generating neural networks and particle swarm optimisation.
Int. J. Bio Inspired Comput., 2015
2014
J. Multim., 2014
J. Comb. Optim., 2014
J. Comb. Optim., 2014
Proceedings of the 10th International Conference on Mobile Ad-hoc and Sensor Networks, 2014
Proceedings of the 10th International Conference on Mobile Ad-hoc and Sensor Networks, 2014
2013
Proceedings of the Computing and Combinatorics, 19th International Conference, 2013
Proceedings of the Computing and Combinatorics, 19th International Conference, 2013