Yuchen Qiu
According to our database1,
Yuchen Qiu
authored at least 39 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
A Spatial Downscaling Method for Solar-Induced Chlorophyll Fluorescence Product Using Random Forest Regression and Drought Monitoring in Henan Province.
Remote. Sens., March, 2024
Spatiotemporal Analysis and Prediction of Carbon Emissions from Energy Consumption in China through Nighttime Light Remote Sensing.
Remote. Sens., January, 2024
2023
Developing a Novel Image Marker to Predict the Responses of Neoadjuvant Chemotherapy (NACT) for Ovarian Cancer Patients.
CoRR, 2023
An observer comparison study to evaluate a machine learning model to quantify the infected pneumonia on lung CT images.
Proceedings of the Medical Imaging 2023: Image Perception, 2023
2022
Recent advances and clinical applications of deep learning in medical image analysis.
Medical Image Anal., 2022
Transformers Improve Breast Cancer Diagnosis from Unregistered Multi-View Mammograms.
CoRR, 2022
CoRR, 2022
Assessment of a new CAD-generated imaging marker to predict risk of having mammography-occult tumors.
Proceedings of the Medical Imaging 2022: Image Perception, 2022
Developing interactive computer-aided detection tools to support translational clinical research.
Proceedings of the Medical Imaging 2022: Image Perception, 2022
2021
Secur. Commun. Networks, 2021
Recent advances and clinical applications of deep learning in medical image analysis.
CoRR, 2021
Detecting COVID-19 infected pneumonia from x-ray images using a deep learning model with image preprocessing algorithm.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Enhancing the Performance of Liquid State Machine with Time-Division Sampling and Reservoir Reconstructing.
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021
Proceedings of the 32nd IEEE International Conference on Application-specific Systems, 2021
2020
Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms.
Int. J. Medical Informatics, 2020
Developing a new radiomics-based CT image marker to detect lymph node metastasis among cervical cancer patients.
Comput. Methods Programs Biomed., 2020
Proceedings of the 2020 on Intelligent Cross-Data Analysis and Retrieval Workshop, 2020
2019
Developing global image feature analysis models to predict cancer risk and prognosis.
Vis. Comput. Ind. Biomed. Art, 2019
Applying a new quantitative image analysis scheme based on global mammographic features to assist diagnosis of breast cancer.
Comput. Methods Programs Biomed., 2019
Assessment of a quantitative mammographic imaging marker for breast cancer risk prediction.
Proceedings of the Medical Imaging 2019: Image Perception, 2019
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
2018
A performance comparison of low- and high-level features learned by deep convolutional neural networks in epithelium and stroma classification.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018
Applying a new unequally weighted feature fusion method to improve CAD performance of classifying breast lesions.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Improving performance of breast cancer risk prediction using a new CAD-based region segmentation scheme.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
2017
A two-step convolutional neural network based computer-aided detection scheme for automatically segmenting adipose tissue volume depicting on CT images.
Comput. Methods Programs Biomed., 2017
Applying a new bilateral mammographic density segmentation method to improve accuracy of breast cancer risk prediction.
Int. J. Comput. Assist. Radiol. Surg., 2017
Applying a deep learning based CAD scheme to segment and quantify visceral and subcutaneous fat areas from CT images.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Apply radiomics approach for early stage prognostic evaluation of ovarian cancer patients: a preliminary study.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
2016
A New Approach to Evaluate Drug Treatment Response of Ovarian Cancer Patients Based on Deformable Image Registration.
IEEE Trans. Medical Imaging, 2016
Fusion of Quantitative Image and Genomic Biomarkers to Improve Prognosis Assessment of Early Stage Lung Cancer Patients.
IEEE Trans. Biomed. Eng., 2016
Applying a computer-aided scheme to detect a new radiographic image marker for prediction of chemotherapy outcome.
BMC Medical Imaging, 2016
Applying quantitative adiposity feature analysis models to predict benefit of bevacizumab-based chemotherapy in ovarian cancer patients.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
Computer-aided classification of mammographic masses using the deep learning technology: a preliminary study.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
An initial investigation on developing a new method to predict short-term breast cancer risk based on deep learning technology.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
2015
An automated approach to improve efficacy in detecting residual malignant cancer cell for facilitating prognostic assessment of leukemia: an initial study.
Proceedings of the Medical Imaging 2015: Digital Pathology, 2015
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Evaluation of chemotherapy response in ovarian cancer treatment using quantitative CT image biomarkers: a preliminary study.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
A new Fourier transform based CBIR scheme for mammographic mass classification: a preliminary invariance assessment.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
A new application of electrical impedance spectroscopy for measuring glucose metabolism: a phantom study.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015