Jiangdian Song

发表

2D and 3D CT Radiomics Features Prognostic Performance Comparison in Non-Small Cell Lung Cancer

Di Dong, Zhenchao Tang, Jie Tian, 2017, Translational oncology.

Correction to: End-to-end automatic differentiation of the coronavirus disease 2019 (COVID-19) from viral pneumonia based on chest CT

K. Yeom, Jiangdian Song, Hongmei Wang, 2021, European Journal of Nuclear Medicine and Molecular Imaging.

Quantitative Biomarkers for Prediction of Epidermal Growth Factor Receptor Mutation in Non-Small Cell Lung Cancer

D. Dong, Jie Tian, M. Fang, 2017, Translational oncology.

A New Approach to Predict Progression-free Survival in Stage IV EGFR-mutant NSCLC Patients with EGFR-TKI Therapy

D. Dong, Yanqi Huang, C. Liang, 2018, Clinical Cancer Research.

Multi-classifier-based identification of COVID-19 from chest computed tomography using generalizable and interpretable radiomics features

Edward H. Lee, S. Halabi, K. Yeom, 2021, European Journal of Radiology.

Radiomics for the Prediction of EGFR Mutation Subtypes in Non-small-cell Lung Cancer.

Jiangdian Song, Shu Li, C. Ding, 2019, Medical physics.

Non-small cell lung cancer: quantitative phenotypic analysis of CT images as a potential marker of prognosis

Di Dong, Jie Tian, Zaiyi Liu, 2016, Scientific Reports.

Radiomic signature as a diagnostic factor for histologic subtype classification of non-small cell lung cancer

Xinzhong Zhu, Dongdong Yu, Di Dong, 2018, European Radiology.

End-to-end automatic differentiation of the coronavirus disease 2019 (COVID-19) from viral pneumonia based on chest CT

K. Yeom, Jiangdian Song, Hongmei Wang, 2020, European Journal of Nuclear Medicine and Molecular Imaging.

Development and Validation of a Machine Learning Model to Explore Tyrosine Kinase Inhibitor Response in Patients With Stage IV EGFR Variant–Positive Non–Small Cell Lung Cancer

K. Yeom, Zaiyi Liu, Jie Tian, 2020, JAMA network open.

A review of original articles published in the emerging field of radiomics.

Jiangdian Song, Z. Chang, Zhaoyu Liu, 2020, European journal of radiology.

An Opportunity to Reduce Disparities in Lung Cancer Screening.

H. Guo, Jiangdian Song, H. H. Guo, 2021, JAMA network open.

Selection Between Liver Resection Versus Transarterial Chemoembolization in Hepatocellular Carcinoma: A Multicenter Study

D. Dong, D. Gu, Jie Tian, 2019, Clinical and translational gastroenterology.

Development and validation of a prognostic index for efficacy evaluation and prognosis of first-line chemotherapy in stage III–IV lung squamous cell carcinoma

B. Zheng, W. Qian, Jie Tian, 2019, European Radiology.

Development and validation of a deep learning model for survival prognosis of transcatheter arterial chemoembolization in patients with intermediate-stage hepatocellular carcinoma.

Jiangdian Song, Yuchan Liu, Kexue Deng, 2022, European journal of radiology.

Intratumoral and Peritumoral Analysis of Mammography, Tomosynthesis, and Multiparametric MRI for Predicting Ki-67 Level in Breast Cancer: a Radiomics-Based Study

Tao Jiang, Jiangdian Song, Yahong Luo, 2021, Molecular Imaging and Biology.

Automatic Lung Nodule Segmentation and Intra-Nodular Heterogeneity Image Generation

Zaiyi Liu, Shih-Cheng Huang, Wei-min Li, 2021, IEEE Journal of Biomedical and Health Informatics.

Radiomics in Medical Imaging—Detection, Extraction and Segmentation

Jie Tian, Mu Zhou, Shuo Wang, 2018 .

Decoding and Systematization of Medical Imaging Features of Multiple Human Malignancies

K. Yeom, W. Qian, Jiangdian Song, 2020, Radiology. Imaging cancer.

End-to-end automatic differentiation of the coronavirus disease 2019 (COVID-19) from viral pneumonia based on chest CT

K. Yeom, Jiangdian Song, Hongmei Wang, 2020, European Journal of Nuclear Medicine and Molecular Imaging.

A deep learning-based system for survival benefit prediction of tyrosine kinase inhibitors and immune checkpoint inhibitors in stage IV non-small cell lung cancer patients: A multicenter, prognostic study

Huan Wang, Lu Wang, Zaiyi Liu, 2022, EClinicalMedicine.

Decoding COVID-19 pneumonia: comparison of deep learning and radiomics CT image signatures

Edward H. Lee, S. Halabi, K. Yeom, 2020, European Journal of Nuclear Medicine and Molecular Imaging.

Decoding intra-tumoral spatial heterogeneity on radiological images using the Hilbert curve

Jiangdian Song, Lu Wang, Nan Xu, 2021, Insights into Imaging.

Predictive Radiomic Models for the Chemotherapy Response in Non-Small-Cell Lung Cancer based on Computerized-Tomography Images

W. Qian, Shouliang Qi, Jiangdian Song, 2021, Frontiers in Oncology.

Development and validation of a radiomics nomogram for progression-free survival prediction in stage IV EGFR-mutant non-small cell lung cancer

Weimin Li, Jie Tian, Di Dong, 2017, Medical Imaging.

Trends in the application of deep learning networks in medical image analysis: Evolution between 2012 and 2020.

Jiangdian Song, Lu Wang, Z. Chang, 2021, European journal of radiology.

Lung Lesion Extraction Using a Toboggan Based Growing Automatic Segmentation Approach

Li Fan, Kun Wang, Jie Tian, 2016, IEEE Transactions on Medical Imaging.

Association between tumor heterogeneity and overall survival in patients with non-small cell lung cancer

Jie Tian, Di Dong, Zaiyi Liu, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Association between tumor heterogeneity and progression-free survival in non-small cell lung cancer patients with EGFR mutations undergoing tyrosine kinase inhibitors therapy

Jie Tian, Di Dong, Yali Zang, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Prediction of malignant and benign of lung tumor using a quantitative radiomic method

Jun Wang, Min Xu, Jie Tian, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A general approach for automatic segmentation of pneumonia, pulmonary nodule, and tuberculosis in CT images

Lu Wang, Jiangdian Song, Yuchan Liu, 2023, iScience.

Title: A new approach to predict progression-free survival in stage IV EGFR-mutant NSCLC patients with EGFR-TKI therapy

D. Dong, Yanqi Huang, C. Liang, 2018 .

EfficientNet-Based System for Detecting EGFR-Mutant Status and Predicting Prognosis of Tyrosine Kinase Inhibitors in Patients with NSCLC

Jiangdian Song, Gang Dai, Kexue Deng, 2024, Journal of imaging informatics in medicine.

Assessing the reproducibility, stability, and biological interpretability of multimodal computed tomography image features for prognosis in advanced non‐small cell lung cancer

Jiangdian Song, Gang Dai, Kexue Deng, 2024, iRADIOLOGY.