Jianhong Cheng

Orcid: 0000-0001-6092-211X

According to our database1, Jianhong Cheng authored at least 22 papers between 2019 and 2025.

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Bibliography

2025
DBMAE-Net: A dual branch multi-scale feature adaptive extraction network for retinal arteriovenous vessel segmentation.
Biomed. Signal Process. Control., 2025

Segmentation-Guided Deep Learning for Glioma Survival Risk Prediction with Multimodal MRI.
Big Data Min. Anal., 2025

Mixed Blessing: Class-Wise Embedding guided Instance-Dependent Partial Label Learning.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Towards Calibrated Deep Clustering Network.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
User behavior and energy-saving potential of electric washing machines.
Energy Inform., December, 2024

Incomplete Multimodal Learning with Modality-Aware Feature Interaction for Brain Tumor Segmentation.
Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024

2023
A Fully Automated CT-Guided Learning for Survival Prediction of Esophageal Cancer.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

M<sup>3</sup>CI-Net: Multi-Modal MRI-Based Characteristics Inspired Network for IDH Genotyping.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
A Fully Automated Multimodal MRI-Based Multi-Task Learning for Glioma Segmentation and IDH Genotyping.
IEEE Trans. Medical Imaging, 2022

Multimodal Disentangled Variational Autoencoder With Game Theoretic Interpretability for Glioma Grading.
IEEE J. Biomed. Health Informatics, 2022

Automated Diagnosis of COVID-19 Using Deep Supervised Autoencoder With Multi-View Features From CT Images.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Prediction of Glioma Grade Using Intratumoral and Peritumoral Radiomic Features From Multiparametric MRI Images.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images.
Medical Image Anal., 2022

DARC: Deep adaptive regularized clustering for histopathological image classification.
Medical Image Anal., 2022

DWT-CV: Dense weight transfer-based cross validation strategy for model selection in biomedical data analysis.
Future Gener. Comput. Syst., 2022

MVSF: Multi-View Signature Fusion Network for Noninvasively Predicting Ki67 Status.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
A New Deep Learning Training Scheme: Application to Biomedical Data.
Proceedings of the Bioinformatics Research and Applications - 17th International Symposium, 2021

Prediction of Egfr Mutation Status in Lung Adenocarcinoma Using Multi-Source Feature Representations.
Proceedings of the IEEE International Conference on Acoustics, 2021

ARSC-Net: Adventitious Respiratory Sound Classification Network Using Parallel Paths with Channel-Spatial Attention.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
A survey on U-shaped networks in medical image segmentations.
Neurocomputing, 2020

2019
Battery-free wireless sensor system with compressed sensing for table grapes cold chain.
Comput. Electron. Agric., 2019

Multi-level Glioma Segmentation using 3D U-Net Combined Attention Mechanism with Atrous Convolution.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019


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