Xiaomeng Qiao
188 Shizi Road
Suzhou, 215006, China
Suzhou, 215006, China
Last Updated: 09/26/2026
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Found 12 publications
Preoperative prediction of positive surgical margins in prostate cancer using multimodal deep learning model: a multicenter study.
Journal: Abdominal radiology (New York)
Published: April 15, 2026
Navigating Uncertainty in MRI Diagnosis: A Human-AI Collaborative Strategy for Stratifying Clinically Significant Prostate Cancer.
Journal: Journal of magnetic resonance imaging : JMRI
Published: March 05, 2026
Multiparametric magnetic resonance imaging (MRI) integrating amide proton transfer-weighted (APTw) imaging, synthetic MRI, and multiplexed sensitivity encoding diffusion-weighted imaging (MUSE DWI) in the diagnosis and grading of prostate cancer.
Journal: Quantitative imaging in medicine and surgery
Published: November 03, 2025
Development and Validation of a Multimodality Model Based on Whole-Slide Imaging and Biparametric MRI for Predicting Postoperative Biochemical Recurrence in Prostate Cancer.
Journal: Radiology. Imaging cancer
Published: May 17, 2024
3D-AttenNet model can predict clinically significant prostate cancer in PI-RADS category 3 patients: a retrospective multicenter study.
Journal: Insights into imaging
Published: March 30, 2024
Prediction of clinically significant prostate cancer using radiomics models in real-world clinical practice: a retrospective multicenter study.
Journal: Insights into imaging
Published: September 01, 2023
Machine learning-based CT texture analysis in the differentiation of testicular masses.
Journal: Frontiers in oncology
Published: August 27, 2023
The practical clinical role of machine learning models with different algorithms in predicting prostate cancer local recurrence after radical prostatectomy.
Journal: Cancer imaging : the official publication of the International Cancer Imaging Society
Published: August 26, 2023
Detecting Adverse Pathology of Prostate Cancer With a Deep Learning Approach Based on a 3D Swin-Transformer Model and Biparametric MRI: A Multicenter Retrospective Study.
Journal: Journal of magnetic resonance imaging : JMRI
Published: May 09, 2023
Value of a combined magnetic resonance imaging-based radiomics-clinical model for predicting extracapsular extension in prostate cancer: a preliminary study.
Journal: Translational cancer research
Published: December 03, 2022
Predicting clinically significant prostate cancer with a deep learning approach: a multicentre retrospective study.
Journal: European journal of nuclear medicine and molecular imaging
Published: April 18, 2022
Utility of Clinical-Radiomic Model to Identify Clinically Significant Prostate Cancer in Biparametric MRI PI-RADS V2.1 Category 3 Lesions.
Journal: Frontiers in oncology
Published: December 21, 2021
Showing 1-12 of 12
Last Updated: 09/26/2026