Qiyuan Hu
Orcid: 0000-0002-3326-6441
According to our database1,
Qiyuan Hu authored at least 18 papers
between 2019 and 2025.
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Bibliography
2025
IEEE Trans. Ind. Electron., December, 2025
A Soft-Switching Three-Phase Inverter Based on Integrated Magnetic Coupled Active Filter.
IEEE Trans. Ind. Electron., July, 2025
2024
Efficient and generalizable prediction of molecular alterations in multiple cancer cohorts using H&E whole slide images.
CoRR, 2024
2023
Planting Age Identification and Yield Prediction of Apple Orchard Using Time-Series Spectral Endmember and Logistic Growth Model.
Remote. Sens., February, 2023
Development and Validation of a Deep Learning-Based Microsatellite Instability Predictor from Prostate Cancer Whole-Slide Images.
CoRR, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
The interactive relationship between water environmental pollution and the quality of economic growth in China: An empirical research based on the dynamic simultaneous equations model.
J. Comput. Methods Sci. Eng., 2022
Proceedings of the 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the 15th International Conference on Spatial Information Theory, 2022
2021
Role of standard and soft tissue chest radiography images in COVID-19 diagnosis using deep learning.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Proceedings of the 7th International Symposium on System and Software Reliability, 2021
Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021
2020
Using ResNet feature extraction in computer-aided diagnosis of breast cancer on 927 lesions imaged with multiparametric MRI.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
2019
Transfer Learning in 4D for Breast Cancer Diagnosis using Dynamic Contrast-Enhanced Magnetic Resonance Imaging.
CoRR, 2019
Correlation between a deep-learning-based model observer and human observer for a realistic lung nodule localization task in chest CT.
Proceedings of the Medical Imaging 2019: Image Perception, 2019
Radiomics and deep learning of diffusion-weighted MRI in the diagnosis of breast cancer.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019