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Medical Physics
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April 13, 2026
Multi-parametric MRI synthesis for glioblastoma from quantitative MR fingerprinting: Quantitative synthetic neural network (QS-Net)
Yimin Ni, Chenyang Liu, Wen Li, et al.
International Journal of Radiation Oncology, Biology, Physics
|
November 14, 2021
Virtual Contrast-Enhanced Magnetic Resonance Images Synthesis for Patients With Nasopharyngeal Carcinoma Using Multimodality-Guided Synergistic Neural Network
Wen Li, Haonan Xiao, Tian Li, et al.
International Journal of Radiation Oncology, Biology, Physics
|
October 25, 2025
Deep Learning-Based Motion-Compensated Reconstruction for Accelerating 4-Dimensional Magnetic Resonance Fingerprinting
Lu Wang, Chenyang Liu, Yinghui Wang, et al.
Frontiers in Pharmacology
|
October 6, 2022
Function-Wise Dual-Omics analysis for radiation pneumonitis prediction in lung cancer patients
Bing Li, Ge Ren, Wei Guo, et al.
Respiratory Research
|
October 29, 2024
Quantitative texture analysis using machine learning for predicting interpretable pulmonary perfusion from non-contrast computed tomography in pulmonary embolism patients
Zihan Li, Meixin Zhao, Zhichun Li, et al.
Breast Cancer Research : BCR
|
February 6, 2026
Tumor heterogeneity index from DCE-MRI for AKT-inhibition responder identification and reveals hot immune microenvironment for patients with breast cancer: a multi-omics analysis of I-SPY2 trial
Xinzhi Teng, Jiang Zhang, Qingpei Lai, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|
May 21, 2024
Interpretable deep learning insights: Unveiling the role of 1 Gy volume on lymphopenia after radiotherapy in breast cancer
Fang Chen, Ping Zhou, Ge Ren, et al.
Medical Physics
|
February 16, 2022
A dual-supervised deformation estimation model (DDEM) for constructing ultra-quality 4D-MRI based on a commercial low-quality 4D-MRI for liver cancer radiation therapy
Haonan Xiao, Ruiyan Ni, Shaohua Zhi, et al.
Frontiers in Oncology
|
October 31, 2022
Improving radiomic model reliability using robust features from perturbations for head-and-neck carcinoma
Xinzhi Teng, Jiang Zhang, Zongrui Ma, et al.
BMC Medical Imaging
|
April 26, 2026
Fine-tuned lightweight language models for structured extraction of liver cancer imaging free-text report: a comparative analysis with existing large language models
Yang-Di Luo, Yong Sun, Shi-Le Tang, et al.
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Showing results (111-120 of 127) with videos related to
Sort By:
Page
of 13
Medical Physics
|
April 13, 2026
Multi-parametric MRI synthesis for glioblastoma from quantitative MR fingerprinting: Quantitative synthetic neural network (QS-Net)
Yimin Ni, Chenyang Liu, Wen Li, et al.
International Journal of Radiation Oncology, Biology, Physics
|
November 14, 2021
Virtual Contrast-Enhanced Magnetic Resonance Images Synthesis for Patients With Nasopharyngeal Carcinoma Using Multimodality-Guided Synergistic Neural Network
Wen Li, Haonan Xiao, Tian Li, et al.
International Journal of Radiation Oncology, Biology, Physics
|
October 25, 2025
Deep Learning-Based Motion-Compensated Reconstruction for Accelerating 4-Dimensional Magnetic Resonance Fingerprinting
Lu Wang, Chenyang Liu, Yinghui Wang, et al.
Frontiers in Pharmacology
|
October 6, 2022
Function-Wise Dual-Omics analysis for radiation pneumonitis prediction in lung cancer patients
Bing Li, Ge Ren, Wei Guo, et al.
Respiratory Research
|
October 29, 2024
Quantitative texture analysis using machine learning for predicting interpretable pulmonary perfusion from non-contrast computed tomography in pulmonary embolism patients
Zihan Li, Meixin Zhao, Zhichun Li, et al.
Breast Cancer Research : BCR
|
February 6, 2026
Tumor heterogeneity index from DCE-MRI for AKT-inhibition responder identification and reveals hot immune microenvironment for patients with breast cancer: a multi-omics analysis of I-SPY2 trial
Xinzhi Teng, Jiang Zhang, Qingpei Lai, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|
May 21, 2024
Interpretable deep learning insights: Unveiling the role of 1 Gy volume on lymphopenia after radiotherapy in breast cancer
Fang Chen, Ping Zhou, Ge Ren, et al.
Medical Physics
|
February 16, 2022
A dual-supervised deformation estimation model (DDEM) for constructing ultra-quality 4D-MRI based on a commercial low-quality 4D-MRI for liver cancer radiation therapy
Haonan Xiao, Ruiyan Ni, Shaohua Zhi, et al.
Frontiers in Oncology
|
October 31, 2022
Improving radiomic model reliability using robust features from perturbations for head-and-neck carcinoma
Xinzhi Teng, Jiang Zhang, Zongrui Ma, et al.
BMC Medical Imaging
|
April 26, 2026
Fine-tuned lightweight language models for structured extraction of liver cancer imaging free-text report: a comparative analysis with existing large language models
Yang-Di Luo, Yong Sun, Shi-Le Tang, et al.
Page
of 13