Ming Fan
Ming Fan
Vahvistettu sähköpostiosoite verkkotunnuksessa
Identification of conversion from mild cognitive impairment to Alzheimer's disease using multivariate predictors
Y Cui, B Liu, S Luo, X Zhen, M Fan, T Liu, W Zhu, M Park, T Jiang, JS Jin, ...
PloS one 6 (7), e21896, 2011
DEEPre: sequence-based enzyme EC number prediction by deep learning
Y Li, S Wang, R Umarov, B Xie, M Fan, L Li, X Gao
Bioinformatics 34 (5), 760-769, 2018
A rapid, accurate and machine-agnostic segmentation and quantification method for CT-based COVID-19 diagnosis
L Zhou, Z Li, J Zhou, H Li, Y Chen, Y Huang, D Xie, L Zhao, M Fan, ...
IEEE transactions on medical imaging 39 (8), 2638-2652, 2020
Radiomic analysis reveals DCE-MRI features for prediction of molecular subtypes of breast cancer
M Fan, H Li, S Wang, B Zheng, J Zhang, L Li
PloS one 12 (2), e0171683, 2017
Radiomic analysis of DCE-MRI for prediction of response to neoadjuvant chemotherapy in breast cancer patients
M Fan, G Wu, H Cheng, J Zhang, G Shao, L Li
European journal of radiology 94, 140-147, 2017
Meta-analysis of the association between the monoamine oxidase-A gene and mood disorders
M Fan, B Liu, T Jiang, X Jiang, H Zhao, J Zhang
Psychiatric genetics 20 (1), 1-7, 2010
Joint prediction of breast cancer histological grade and Ki-67 expression level based on DCE-MRI and DWI radiomics
M Fan, W Yuan, W Zhao, M Xu, S Wang, X Gao, L Li
IEEE journal of biomedical and health informatics 24 (6), 1632-1642, 2019
DCE‐MRI texture analysis with tumor subregion partitioning for predicting Ki‐67 status of estrogen receptor‐positive breast cancers
M Fan, H Cheng, P Zhang, X Gao, J Zhang, G Shao, L Li
Journal of Magnetic Resonance Imaging 48 (1), 237-247, 2018
Radiogenomic signatures reveal multiscale intratumour heterogeneity associated with biological functions and survival in breast cancer
M Fan, P Xia, R Clarke, Y Wang, L Li
Nature communications 11 (1), 4861, 2020
Radiomic analysis of imaging heterogeneity in tumours and the surrounding parenchyma based on unsupervised decomposition of DCE-MRI for predicting molecular subtypes of breast …
M Fan, P Zhang, Y Wang, W Peng, S Wang, X Gao, M Xu, L Li
European radiology 29, 4456-4467, 2019
Modularity in the genetic disease-phenotype network
X Jiang, B Liu, J Jiang, H Zhao, M Fan, J Zhang, Z Fan, T Jiang
FEBS letters 582 (17), 2549-2554, 2008
Cortical thickness is associated with different apolipoprotein E genotypes in healthy elderly adults
M Fan, B Liu, Y Zhou, X Zhen, C Xu, T Jiang, ...
Neuroscience letters 479 (3), 332-336, 2010
Computer-aided detection of mass in digital breast tomosynthesis using a faster region-based convolutional neural network
M Fan, Y Li, S Zheng, W Peng, W Tang, L Li
Methods 166, 103-111, 2019
DLBI: deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopy
Y Li, F Xu, F Zhang, P Xu, M Zhang, M Fan, L Li, X Gao, R Han
Bioinformatics 34 (13), i284-i294, 2018
Heterogeneity of diffusion-weighted imaging in tumours and the surrounding stroma for prediction of Ki-67 proliferation status in breast cancer
M Fan, T He, P Zhang, J Zhang, L Li
Scientific reports 7 (1), 2875, 2017
HMD-ARG: hierarchical multi-task deep learning for annotating antibiotic resistance genes
Y Li, Z Xu, W Han, H Cao, R Umarov, A Yan, M Fan, H Chen, CM Duarte, ...
Microbiome 9, 1-12, 2021
Haplotypes of catechol-O-methyltransferase modulate intelligence-related brain white matter integrity
B Liu, J Li, C Yu, Y Li, Y Liu, M Song, M Fan, K Li, T Jiang
Neuroimage 50 (1), 243-249, 2010
Diffusion‐weighted imaging features of breast tumours and the surrounding stroma reflect intrinsic heterogeneous characteristics of molecular subtypes in breast cancer
M Fan, T He, P Zhang, H Cheng, J Zhang, X Gao, L Li
NMR in Biomedicine 31 (2), e3869, 2018
Radiomics of tumor heterogeneity in longitudinal dynamic contrast-enhanced magnetic resonance imaging for predicting response to neoadjuvant chemotherapy in breast cancer
M Fan, H Chen, C You, L Liu, Y Gu, W Peng, X Gao, L Li
Frontiers in molecular biosciences 8, 622219, 2021
Discriminating between benign and malignant breast tumors using 3D convolutional neural network in dynamic contrast enhanced-MR images
J Li, M Fan, J Zhang, L Li
Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and …, 2017
Järjestelmä ei voi suorittaa toimenpidettä nyt. Yritä myöhemmin uudelleen.
Artikkelit 1–20