Chongfeng Duan

Qingdao, 266000, China

Last Updated: 09/26/2026

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Found 18 publications

Habitat analysis and other AI technologies for Ki-67 prediction in hepatocellular carcinoma: a multi-center study.

Habitat analysis and other AI technologies for Ki-67 prediction in hepatocellular carcinoma: a multi-center study.

Journal: BMC cancer
Published: November 15, 2025

MRI-based deep transfer learning models for predicting progesterone receptor expression in meningioma.

MRI-based deep transfer learning models for predicting progesterone receptor expression in meningioma.

Journal: Frontiers in oncology
Published: October 25, 2024

The "purfling sign": a new imaging marker for the diagnosis of primary CNS lymphoma.

The "purfling sign": a new imaging marker for the diagnosis of primary CNS lymphoma.

Journal: La Radiologia medica
Published: July 30, 2024

An MRI-based deep transfer learning radiomics nomogram for predicting meningioma grade.

An MRI-based deep transfer learning radiomics nomogram for predicting meningioma grade.

Journal: Scientific reports
Published: June 29, 2024

Different radiomics models in predicting the malignant potential of small intestinal stromal tumors.

Different radiomics models in predicting the malignant potential of small intestinal stromal tumors.

Journal: European journal of radiology open
Published: May 01, 2024

Preoperative MRI-based radiomic nomogram for distinguishing solitary fibrous tumor from angiomatous meningioma: a multicenter study.

Preoperative MRI-based radiomic nomogram for distinguishing solitary fibrous tumor from angiomatous meningioma: a multicenter study.

Journal: Frontiers in oncology
Published: March 11, 2024

An MRI-Based Deep Transfer Learning Radiomics Nomogram to Predict Ki-67 Proliferation Index of Meningioma.

An MRI-Based Deep Transfer Learning Radiomics Nomogram to Predict Ki-67 Proliferation Index of Meningioma.

Journal: Journal of imaging informatics in medicine
Published: July 15, 2023

Performance comparison of 2D and 3D MRI radiomics features in meningioma grade prediction: A preliminary study.

Performance comparison of 2D and 3D MRI radiomics features in meningioma grade prediction: A preliminary study.

Journal: Frontiers in oncology
Published: February 02, 2023

The diagnostic value of ADC histogram and direct ADC measurements for coexisting isocitrate dehydrogenase mutation and O6-methylguanine-DNA methyltransferase promoter methylation in glioma.

The diagnostic value of ADC histogram and direct ADC measurements for coexisting isocitrate dehydrogenase mutation and O6-methylguanine-DNA methyltransferase promoter methylation in glioma.

Journal: Frontiers in neuroscience
Published: November 15, 2022

Radiomics nomogram for prediction of microvascular invasion in hepatocellular carcinoma based on MR imaging with Gd-EOB-DTPA.

Radiomics nomogram for prediction of microvascular invasion in hepatocellular carcinoma based on MR imaging with Gd-EOB-DTPA.

Journal: Frontiers in oncology
Published: September 01, 2022

A radiomics nomogram for predicting the meningioma grade based on enhanced T1WI images.

A radiomics nomogram for predicting the meningioma grade based on enhanced T1WI images.

Journal: The British journal of radiology
Published: July 11, 2022

Prediction of microvascular invasion in hepatocellular carcinoma based on preoperative Gd-EOB-DTPA-enhanced MRI: Comparison of predictive performance among 2D, 2D-expansion and 3D deep learning models.

Prediction of microvascular invasion in hepatocellular carcinoma based on preoperative Gd-EOB-DTPA-enhanced MRI: Comparison of predictive performance among 2D, 2D-expansion and 3D deep learning models.

Journal: Frontiers in oncology
Published: July 06, 2022
Showing 1-12 of 18

Last Updated: 09/26/2026