Bingfeng Lu

Nanning, 530007, China

Last Updated: 09/26/2026

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Found 9 publications

Multimodal therapeutic efficacy model for predicting early treatment response to TACE-HAIC combined with immune checkpoint inhibitors and tyrosine kinase inhibitors in unresectable hepatocellular carcinoma.

Multimodal therapeutic efficacy model for predicting early treatment response to TACE-HAIC combined with immune checkpoint inhibitors and tyrosine kinase inhibitors in unresectable hepatocellular carcinoma.

Journal: European journal of radiology

Published: November 30, 2025

Corrigendum to "Nomogram based on radiomics and CT features for predicting visceral pleural invasion of invasive adenocarcinoma ≤2 cm: A multicenter study" [Eur. J. Radiol. 190 (2025) 112227].

Corrigendum to "Nomogram based on radiomics and CT features for predicting visceral pleural invasion of invasive adenocarcinoma ≤2 cm: A multicenter study" [Eur. J. Radiol. 190 (2025) 112227].

Journal: European journal of radiology

Published: November 27, 2025

Central effects of short-term spinal cord stimulation in postherpetic neuralgia: a longitudinal fMRI and DTI study.

Central effects of short-term spinal cord stimulation in postherpetic neuralgia: a longitudinal fMRI and DTI study.

Journal: Frontiers in neuroscience

Published: November 12, 2025

Tibial periosteal distraction for ischemic leg ulcers: animal and clinical cohort study.

Tibial periosteal distraction for ischemic leg ulcers: animal and clinical cohort study.

Journal: BMC medicine

Published: August 06, 2025

Mass resection as a candidate treatment for uterine PEComas of uncertain malignant potential: a case report and literature review.

Mass resection as a candidate treatment for uterine PEComas of uncertain malignant potential: a case report and literature review.

Journal: Frontiers in oncology

Published: November 01, 2024

Development and validation of an MRI radiomics-based interpretable machine learning model for predicting the progression-free survival in locally advanced nasopharyngeal carcinoma.

Development and validation of an MRI radiomics-based interpretable machine learning model for predicting the progression-free survival in locally advanced nasopharyngeal carcinoma.

Journal: Quantitative imaging in medicine and surgery

Published: September 03, 2024

Nomogram based on radiomics and CT features for predicting visceral pleural invasion of invasive adenocarcinoma ≤ 2 cm: A multicenter study.

Nomogram based on radiomics and CT features for predicting visceral pleural invasion of invasive adenocarcinoma ≤ 2 cm: A multicenter study.

Journal: European journal of radiology

Published: July 28, 2024

An interpretable machine learning model assists in predicting induction chemotherapy response and survival for locoregionally advanced nasopharyngeal carcinoma using MRI: a multicenter study.

An interpretable machine learning model assists in predicting induction chemotherapy response and survival for locoregionally advanced nasopharyngeal carcinoma using MRI: a multicenter study.

Journal: European radiology

Published: June 22, 2024

Prognostic analysis and risk stratification of lung adenocarcinoma undergoing EGFR-TKI therapy with time-serial CT-based radiomics signature.

Prognostic analysis and risk stratification of lung adenocarcinoma undergoing EGFR-TKI therapy with time-serial CT-based radiomics signature.

Journal: European radiology

Published: March 24, 2022

Showing 1-9 of 9

Last Updated: 09/26/2026