Ming Fan
Orcid: 0000-0002-5626-7076Affiliations:
- Hangzhou Dianzi University, Hangzhou, China
According to our database1,
Ming Fan
authored at least 14 papers
between 2013 and 2023.
Collaborative distances:
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Bibliography
2023
Cross-Parametric Generative Adversarial Network-Based Magnetic Resonance Image Feature Synthesis for Breast Lesion Classification.
IEEE J. Biomed. Health Informatics, November, 2023
Learning Common and Task-Specific Radiomic Features via Graph Regularized NMF for the Joint Prediction of Multiple Clinical Indicators in Breast Cancer.
IEEE J. Biomed. Health Informatics, October, 2023
2022
A Framework for Deep Multitask Learning With Multiparametric Magnetic Resonance Imaging for the Joint Prediction of Histological Characteristics in Breast Cancer.
IEEE J. Biomed. Health Informatics, 2022
Prediction of Short-Term Breast Cancer Risk with Fusion of CC- and MLO-Based Risk Models in Four-View Mammograms.
J. Digit. Imaging, 2022
2020
A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis.
IEEE Trans. Medical Imaging, 2020
Joint Prediction of Breast Cancer Histological Grade and Ki-67 Expression Level Based on DCE-MRI and DWI Radiomics.
IEEE J. Biomed. Health Informatics, 2020
2019
Prediction of Short-Term Breast Cancer Risk Based on Deep Convolutional Neural Networks in Mammography.
J. Medical Imaging Health Informatics, 2019
DCE-MRI based analysis of intratumor heterogeneity by decomposing method for prediction of HER2 status in breast cancer.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
2018
A Slice-based <sup>13</sup>C-detected NMR Spin System Forming and Resonance Assignment Method.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
DLBI: deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopy.
Bioinform., 2018
Bioinform., 2018
2015
A novel Multi-Agent Ada-Boost algorithm for predicting protein structural class with the information of protein secondary structure.
J. Bioinform. Comput. Biol., 2015
Parameter estimation methods for gene circuit modeling from time-series mRNA data: a comparative study.
Briefings Bioinform., 2015
2013
A framework for scalable parameter estimation of gene circuit models using structural information.
Bioinform., 2013