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Biochemical and Biophysical Research Communications
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September 21, 2014
Dimer monomer transition and dimer re-formation play important role for ATM cellular function during DNA repair
Fengxia Du, Minjie Zhang, Xiaohua Li, et al.
European Radiology
|
March 13, 2020
Radiomics for lung adenocarcinoma manifesting as pure ground-glass nodules: invasive prediction
Yingli Sun, Cheng Li, Liang Jin, et al.
Respiratory Research
|
November 29, 2023
Deep learning parametric response mapping from inspiratory chest CT scans: a new approach for small airway disease screening
Bin Chen, Ziyi Liu, Jinjuan Lu, et al.
Quantitative Imaging in Medicine and Surgery
|
December 19, 2024
Exploring the optimal threshold of 3D consolidation tumor ratio value segmentation based on artificial intelligence for predicting the invasive degree of T1 lung adenocarcinoma
Wensong Shi, Yuzhui Hu, Yingli Sun, et al.
Quantitative Imaging in Medicine and Surgery
|
July 29, 2025
Identification of the optimal threshold for predicting the infiltration degree of T1-stage lung adenocarcinoma using solid component volume and three-dimensional consolidation-to-tumor ratio in threshold segmentation
Wensong Shi, Zhengpan Wei, Yuzhui Hu, et al.
Cell Research
|
January 17, 2015
GATA family members as inducers for cellular reprogramming to pluripotency
Jian Shu, Ke Zhang, Minjie Zhang, et al.
Cancer Research
|
October 4, 2018
3D Deep Learning from CT Scans Predicts Tumor Invasiveness of Subcentimeter Pulmonary Adenocarcinomas
Wei Zhao, Jiancheng Yang, Yingli Sun, et al.
Quantitative Imaging in Medicine and Surgery
|
January 22, 2025
Exploration of optimal thresholds for predicting the invasive nature of stage T1 lung adenocarcinoma using artificial intelligence-based 3D solid component volume segmentation
Wensong Shi, Yuzhui Hu, Yingli Sun, et al.
Frontiers in Oncology
|
January 30, 2020
The Potential of Radiomics Nomogram in Non-invasively Prediction of Epidermal Growth Factor Receptor Mutation Status and Subtypes in Lung Adenocarcinoma
Wei Zhao, Yuzhi Wu, Ya'nan Xu, et al.
Ebiomedicine
|
November 13, 2020
Deep-learning-assisted detection and segmentation of rib fractures from CT scans: Development and validation of FracNet
Liang Jin, Jiancheng Yang, Kaiming Kuang, et al.
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Showing results (51-60 of 92) with videos related to
Sort By:
Page
of 10
Biochemical and Biophysical Research Communications
|
September 21, 2014
Dimer monomer transition and dimer re-formation play important role for ATM cellular function during DNA repair
Fengxia Du, Minjie Zhang, Xiaohua Li, et al.
European Radiology
|
March 13, 2020
Radiomics for lung adenocarcinoma manifesting as pure ground-glass nodules: invasive prediction
Yingli Sun, Cheng Li, Liang Jin, et al.
Respiratory Research
|
November 29, 2023
Deep learning parametric response mapping from inspiratory chest CT scans: a new approach for small airway disease screening
Bin Chen, Ziyi Liu, Jinjuan Lu, et al.
Quantitative Imaging in Medicine and Surgery
|
December 19, 2024
Exploring the optimal threshold of 3D consolidation tumor ratio value segmentation based on artificial intelligence for predicting the invasive degree of T1 lung adenocarcinoma
Wensong Shi, Yuzhui Hu, Yingli Sun, et al.
Quantitative Imaging in Medicine and Surgery
|
July 29, 2025
Identification of the optimal threshold for predicting the infiltration degree of T1-stage lung adenocarcinoma using solid component volume and three-dimensional consolidation-to-tumor ratio in threshold segmentation
Wensong Shi, Zhengpan Wei, Yuzhui Hu, et al.
Cell Research
|
January 17, 2015
GATA family members as inducers for cellular reprogramming to pluripotency
Jian Shu, Ke Zhang, Minjie Zhang, et al.
Cancer Research
|
October 4, 2018
3D Deep Learning from CT Scans Predicts Tumor Invasiveness of Subcentimeter Pulmonary Adenocarcinomas
Wei Zhao, Jiancheng Yang, Yingli Sun, et al.
Quantitative Imaging in Medicine and Surgery
|
January 22, 2025
Exploration of optimal thresholds for predicting the invasive nature of stage T1 lung adenocarcinoma using artificial intelligence-based 3D solid component volume segmentation
Wensong Shi, Yuzhui Hu, Yingli Sun, et al.
Frontiers in Oncology
|
January 30, 2020
The Potential of Radiomics Nomogram in Non-invasively Prediction of Epidermal Growth Factor Receptor Mutation Status and Subtypes in Lung Adenocarcinoma
Wei Zhao, Yuzhi Wu, Ya'nan Xu, et al.
Ebiomedicine
|
November 13, 2020
Deep-learning-assisted detection and segmentation of rib fractures from CT scans: Development and validation of FracNet
Liang Jin, Jiancheng Yang, Kaiming Kuang, et al.
Page
of 10