Jiangfen Wu

发表

Differentiation of Pelvic Osteosarcoma and Ewing Sarcoma Using Radiomic Analysis Based on T2-Weighted Images and Contrast-Enhanced T1-Weighted Images

N. Mao, Guanxun Cheng, Yi Dai, 2020, BioMed research international.

Retrospective imaging studies of gastric cancer

Zixing Huang, B. Song, Jiangfen Wu, 2020, Medicine.

An original deep learning model using limited data for COVID‐19 discrimination: A multicenter study

Dawei Wang, Hongjie Hu, Wenchao Zhu, 2022, Medical physics.

Detection and staging of chronic obstructive pulmonary disease using a computed tomography–based weakly supervised deep learning approach

Qiang Li, Jiangfen Wu, Bai-Lu Liu, 2021, European Radiology.

A human-computer collaboration for COVID-19 differentiation: combining a radiomics model with deep learning and human auditing.

Yanqiu Zhang, B. Zhu, Bing Zhang, 2021, Annals of palliative medicine.

Swin Transformer Improves the IDH Mutation Status Prediction of Gliomas Free of MRI-Based Tumor Segmentation

Kai Xu, X. Qi, Jiangfen Wu, 2022, Journal of clinical medicine.

Pharmacokinetic analysis for the differentiation of pituitary microadenoma subtypes through dynamic contrast-enhanced magnetic resonance imaging

Xuexi Zhang, Jiangfen Wu, J. Zhai, 2019, Oncology letters.

Whole‐exome sequencing identified five novel de novo variants in patients with unexplained intellectual disability

Jiangfen Wu, Wenqiu Zhang, Li-Zhi Hu, 2022, Journal of clinical laboratory analysis.

Federated Learning for Chronic Obstructive Pulmonary Disease Classification with Partial Personalized Attention Mechanism

Jiangfen Wu, Baiyun Liu, Yiqing Shen, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Improving the diagnosis of acute ischemic stroke on non-contrast CT using deep learning: a multicenter study

Dawei Wang, Chen Xia, Ruijiang Li, 2022, Insights into Imaging.

Diagnosing autism spectrum disorder in children using conventional MRI and apparent diffusion coefficient based deep learning algorithms

Yunjun Yang, Jiangfen Wu, Weijian Chen, 2021, European Radiology.

Deep Learning‐Enabled Identification of Autoimmune Encephalitis on 3D Multi‐Sequence MRI

Yongmei Li, Jiangfen Wu, Baiyun Liu, 2021, Journal of magnetic resonance imaging : JMRI.

Differential diagnosis for esophageal protruded lesions using a deep convolution neural network in endoscopic images.

Guoxin Zhang, Bixing Ye, Jiangfen Wu, 2020, Gastrointestinal endoscopy.

Comparison of radiomics machine-learning classifiers and feature selection for differentiation of sacral chordoma and sacral giant cell tumour based on 3D computed tomography features

Nan Hong, Jiangfen Wu, Ning Mao, 2018, European Radiology.

Tumor recurrence versus treatment effects in glioma

Kai Xu, Jiangfen Wu, J. Qu, 2017, Medicine.

Texture analysis of diffusion weighted imaging for the evaluation of glioma heterogeneity based on different regions of interest.

Jiangfen Wu, Kai Xu, Kai Xu, 2018, Oncology letters.

Alterations of default mode functional connectivity in individuals with end-stage renal disease and mild cognitive impairment

Jiule Ding, Hua Zhou, Jiangfen Wu, 2019, BMC Nephrology.

A novel heterozygous mutation of the NPHS1 gene in a Chinese child with congenital nephrotic syndrome: A case report

Jiangfen Wu, Tingting Jin, P. Wu, 2023, Medicine.

Prostate Cancer Differentiation and Aggressiveness: Assessment With a Radiomic‐Based Model vs. PI‐RADS v2

Tong Chen, Xin Li, Jiangfen Wu, 2018, Journal of magnetic resonance imaging : JMRI.

A deep-learning model for identifying fresh vertebral compression fractures on digital radiography

Jiangfen Wu, D. Guo, Kunhua Li, 2021, European Radiology.

A Triple‐Classification Radiomics Model for the Differentiation of Primary Chordoma, Giant Cell Tumor, and Metastatic Tumor of Sacrum Based on T2‐Weighted and Contrast‐Enhanced T1‐Weighted MRI

Nan Hong, Jiangfen Wu, Ning Mao, 2018, Journal of magnetic resonance imaging : JMRI.

Resting state fMRI feature-based cerebral glioma grading by support vector machine

Zhou Yu, Jianhua Yin, Shangwen Ding, 2015, International Journal of Computer Assisted Radiology and Surgery.

Application of third-generation sequencing for genetic testing of thalassemia in Guizhou Province, Southwest China

Jiangfen Wu, Aiping Mao, Jiaqi Li, 2022, Hematology.

GMILT: A Novel Transformer Network That Can Noninvasively Predict EGFR Mutation Status.

Bingbing Ni, J. Liu, Jiancheng Yang, 2022, IEEE transactions on neural networks and learning systems.

Deep learning-assisted LI-RADS grading and distinguishing hepatocellular carcinoma (HCC) from non-HCC based on multiphase CT: a two-center study.

Xiaojuan He, Jiangfen Wu, Chaoyang Zhou, 2023, European radiology.

Altered brain anatomical networks and disturbed connection density in brain tumor patients revealed by diffusion tensor tractography

Zhou Yu, Hongyi Liu, Yun Yu, 2016, International Journal of Computer Assisted Radiology and Surgery.

MFA-DSLNet: Multi-scale Fusion Attention Mechanism with Dual-threshold Self-paced Learning for Pediatric Pneumonia Diagnosis

Jiangfen Wu, Yiqing Shen, Weidao Chen, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Identification of Two Novel Variants of the DMD Gene in Chinese Families with Duchenne Muscular Dystrophy

Jiangfen Wu, Zhimin Li, Li-Zhi Hu, 2023, Pharmacogenomics and personalized medicine.

A deep learning integrated radiomics model for identification of coronavirus disease 2019 using computed tomography

Dasheng Li, Dawei Wang, Chen Xia, 2021, Scientific Reports.

Convolutional neural network for detecting rib fractures on chest radiographs: a feasibility study

Jiangfen Wu, Xianjun Li, Jian Yang, 2023, BMC Medical Imaging.