Weifang Kong
Chengdu, China
Last Updated: 09/26/2026
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Found 22 publications
Development and validation of a computed tomography myocardial perfusion imaging radiomic model for major adverse cardiovascular events prediction: a multicenter study.
Journal: European heart journal. Cardiovascular Imaging
Published: October 08, 2025
Gardner syndrome initially misdiagnosed as bilateral breast malignancy: a case report and literature review.
Journal: Frontiers in oncology
Published: August 23, 2025
Corrigendum: Predicting epidermal growth factor receptor mutation status of lung adenocarcinoma based on PET/CT images using deep learning.
Journal: Frontiers in oncology
Published: January 21, 2025
Non-enhanced CT deep learning model for differentiating lung adenocarcinoma from tuberculoma: a multicenter diagnostic study.
Journal: European radiology
Published: November 26, 2024
Impact of physiological and coronary artery disease risk factors on myocardial perfusion in stress computed tomography myocardial perfusion imaging.
Journal: Scientific reports
Published: October 16, 2024
Predicting epidermal growth factor receptor mutation status of lung adenocarcinoma based on PET/CT images using deep learning.
Journal: Frontiers in oncology
Published: July 02, 2024
Diagnosing myocardial ischemia of obstructive coronary artery disease using dynamic computed tomography myocardial perfusion imaging: optimization of relative myocardial blood flow ratio.
Journal: The international journal of cardiovascular imaging
Published: June 23, 2024
Diagnostic efficacy of absolute and relative myocardial blood flow of stress dynamic CT myocardial perfusion for detecting myocardial ischemia in patients with hemodynamically significant coronary artery disease.
Journal: Frontiers in cardiovascular medicine
Published: March 10, 2024
An investigation of tomosynthesis on the diagnostic efficacy of spot compression mammography.
Journal: Scientific reports
Published: February 05, 2024
Prediction of epidermal growth factor receptor (EGFR) mutation status in lung adenocarcinoma patients on computed tomography (CT) images using 3-dimensional (3D) convolutional neural network.
Journal: Quantitative imaging in medicine and surgery
Published: January 07, 2024
Using Multi-phase CT Radiomics Features to Predict EGFR Mutation Status in Lung Adenocarcinoma Patients.
Journal: Academic radiology
Published: October 18, 2023
Last Updated: 09/26/2026