Pengfei Yang
State Key Laboratory Of Rice Biology And Breeding
Hangzhou, 310006, China
Hangzhou, 310006, China
Last Updated: 09/26/2026
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Found 25 publications
Combined Analysis of Transcriptome and Metabolome Reveals the Heat Stress Resistance of Dongxiang Wild Rice at Seedling Stage.
Journal: Plants (Basel, Switzerland)
Published: February 21, 2025
Recent Advances in Transcriptome Analysis Within the Realm of Low Arsenic Rice Breeding.
Journal: Plants (Basel, Switzerland)
Published: January 10, 2025
Cone-beam CT radiomics for early response assessment in liver stereotactic body radiation therapy: Results of a pilot study.
Journal: Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique
Published: March 03, 2024
Editorial for "Magnetic Resonance Deep Learning Radiomic Model Based on Distinct Metastatic Vascular Patterns for Evaluating Recurrence-Free Survival in Hepatocellular Carcinoma".
Journal: Journal of magnetic resonance imaging : JMRI
Published: September 14, 2023
Virtual differential phase-contrast and dark-field imaging of x-ray absorption images via deep learning.
Journal: Bioengineering & translational medicine
Published: February 28, 2022
A generalized image quality improvement strategy of cone-beam CT using multiple spectral CT labels in Pix2pix GAN.
Journal: Physics in medicine and biology
Published: November 14, 2021
Incremental Value of Radiomics in 5-Year Overall Survival Prediction for Stage II-III Rectal Cancer.
Incremental Value of Radiomics in 5-Year Overall Survival Prediction for Stage II-III Rectal Cancer.
Journal: Frontiers in oncology
Published: September 17, 2021
Prediction of neoadjuvant chemotherapy response in high-grade osteosarcoma: added value of non-tumorous bone radiomics using CT images.
Journal: Quantitative imaging in medicine and surgery
Published: April 05, 2021
Deep neural network-based approach to improving radiomics analysis reproducibility in liver cancer: effect on image resampling.
Journal: Physics in medicine and biology
Published: March 01, 2021
Generalized methodology for radiomic feature selection and modeling in predicting clinical outcomes.
Generalized methodology for radiomic feature selection and modeling in predicting clinical outcomes.
Journal: Physics in medicine and biology
Published: July 31, 2020
Extracting and Selecting Robust Radiomic Features from PET/MR Images in Nasopharyngeal Carcinoma.
Journal: Molecular imaging and biology
Published: June 20, 2020
Integrating intratumoral and peritumoral features to predict tumor recurrence in intrahepatic cholangiocarcinoma.
Journal: Physics in medicine and biology
Published: April 29, 2020
Last Updated: 09/26/2026