Kuo-yang Yen
Taitung, TNQ, Taiwan
Last Updated: 09/26/2026
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Found 48 publications
Early prediction of radiotherapy outcomes in pharyngeal cancer using deep learning on baseline [18F]Fluorodeoxyglucose positron emission Tomography/Computed tomography.
Journal: European journal of radiology
Published: September 11, 2024
Early prediction of distant metastasis in patients with uterine cervical cancer treated with definitive chemoradiotherapy by deep learning using pretreatment [ 18 F]fluorodeoxyglucose positron emission tomography/computed tomography.
Journal: Nuclear medicine communications
Published: January 02, 2024
Imaging prediction of KRAS mutation in patients with rectal cancer through deep metric learning using pretreatment [18F]Fluorodeoxyglucose positron emission tomography/computed tomography.
Journal: The British journal of radiology
Published: September 26, 2023
Prediction of All-Cause Mortality Based on Stress/Rest Myocardial Perfusion Imaging (MPI) Using Deep Learning: A Comparison between Image and Frequency Spectra as Input.
Journal: Journal of personalized medicine
Published: June 06, 2022
18F-Fluciclovine Uptake in Intramuscular Injecting Site of Antiandrogen.
Journal: Clinical nuclear medicine
Published: January 27, 2022
Prediction of Neoadjuvant Chemoradiotherapy Response in Rectal Cancer with Metric Learning Using Pretreatment 18F-Fluorodeoxyglucose Positron Emission Tomography.
Journal: Cancers
Published: November 08, 2021
Differentiation Between Malignant and Benign Pulmonary Nodules by Using Automated Three-Dimensional High-Resolution Representation Learning With Fluorodeoxyglucose Positron Emission Tomography-Computed Tomography.
Journal: Frontiers in medicine
Published: September 09, 2021
Lesion-Based Bone Metastasis Detection in Chest Bone Scintigraphy Images of Prostate Cancer Patients Using Pre-Train, Negative Mining, and Deep Learning.
Journal: Diagnostics (Basel, Switzerland)
Published: January 02, 2021
Predicting pathological complete response in rectal cancer after chemoradiotherapy with a random forest using 18F-fluorodeoxyglucose positron emission tomography and computed tomography radiomics.
Journal: Annals of translational medicine
Published: April 21, 2020
Metabolic Imaging Phenotype Using Radiomics of [18F]FDG PET/CT Associated with Genetic Alterations of Colorectal Cancer.
Journal: Molecular imaging and biology
Published: June 28, 2018
Textural features of cervical cancers on FDG-PET/CT associate with survival and local relapse in patients treated with definitive chemoradiotherapy.
Journal: Scientific reports
Published: October 13, 2017
Last Updated: 09/26/2026