Qiyuan Hu
Orcid: 0000-0003-4400-0945
According to our database1,
Qiyuan Hu
authored at least 15 papers
between 2019 and 2024.
Collaborative distances:
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Bibliography
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 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, 2019