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Pengjiang Qian

Showing results (21-30 of 33) with videos related to

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Journal of Healthcare Engineering|February 28, 2022
Discovering Knee Osteoarthritis Imaging Features for Diagnosis and Prognosis: Review of Manual Imaging Grading and Machine Learning ApproachesYun Xin Teoh, Khin Wee Lai, Juliana Usman, et al.
Computational Intelligence and Neuroscience|May 2, 2022
Multiclass Convolution Neural Network for Classification of COVID-19 CT ImagesSerena Low Woan Ching, Khin Wee Lai, Joon Huang Chuah, et al.
Frontiers in Public Health|June 9, 2022
Systematic Review on COVID-19 Readmission and Risk Factors: Future of Machine Learning in COVID-19 Readmission StudiesWei Kit Loo, Khairunnisa Hasikin, Anwar Suhaimi, et al.
Artificial Intelligence in Medicine|July 29, 2018
Abdominal, multi-organ, auto-contouring method for online adaptive magnetic resonance guided radiotherapy: An intelligent, multi-level fusion approachFan Liang, Pengjiang Qian, Kuan-Hao Su, et al.
Medical Physics|August 3, 2015
Generation of brain pseudo-CTs using an undersampled, single-acquisition UTE-mDixon pulse sequence and unsupervised clusteringKuan-Hao Su, Lingzhi Hu, Christian Stehning, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|March 17, 2020
Transforming UTE-mDixon MR Abdomen-Pelvis Images Into CT by Jointly Leveraging Prior Knowledge and Partial SupervisionPengjiang Qian, Jiamin Zheng, Qiankun Zheng, et al.
IEEE Access : Practical Innovations, Open Solutions|March 22, 2021
Synthetic CT Generation of the Pelvis in Patients With Cervical Cancer: A Single Input Approach Using Generative Adversarial NetworkAtallah Baydoun, K E Xu, Jin Uk Heo, et al.
Physics in Medicine and Biology|May 23, 2018
Machine learning-based dual-energy CT parametric mappingKuan-Hao Su, Jung-Wen Kuo, David W Jordan, et al.
Medical Physics|May 8, 2019
UTE-mDixon-based thorax synthetic CT generationKuan-Hao Su, Harry T Friel, Jung-Wen Kuo, et al.
IEEE Transactions on Medical Imaging|August 20, 2019
mDixon-Based Synthetic CT Generation for PET Attenuation Correction on Abdomen and Pelvis Jointly Using Transfer Fuzzy Clustering and Active Learning-Based ClassificationPengjiang Qian, Yangyang Chen, Jung-Wen Kuo, et al.
Pageof 4

Showing results (21-30 of 33) with videos related to

Sort By:
Pageof 4
Journal of Healthcare Engineering|February 28, 2022
Discovering Knee Osteoarthritis Imaging Features for Diagnosis and Prognosis: Review of Manual Imaging Grading and Machine Learning ApproachesYun Xin Teoh, Khin Wee Lai, Juliana Usman, et al.
Computational Intelligence and Neuroscience|May 2, 2022
Multiclass Convolution Neural Network for Classification of COVID-19 CT ImagesSerena Low Woan Ching, Khin Wee Lai, Joon Huang Chuah, et al.
Frontiers in Public Health|June 9, 2022
Systematic Review on COVID-19 Readmission and Risk Factors: Future of Machine Learning in COVID-19 Readmission StudiesWei Kit Loo, Khairunnisa Hasikin, Anwar Suhaimi, et al.
Artificial Intelligence in Medicine|July 29, 2018
Abdominal, multi-organ, auto-contouring method for online adaptive magnetic resonance guided radiotherapy: An intelligent, multi-level fusion approachFan Liang, Pengjiang Qian, Kuan-Hao Su, et al.
Medical Physics|August 3, 2015
Generation of brain pseudo-CTs using an undersampled, single-acquisition UTE-mDixon pulse sequence and unsupervised clusteringKuan-Hao Su, Lingzhi Hu, Christian Stehning, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|March 17, 2020
Transforming UTE-mDixon MR Abdomen-Pelvis Images Into CT by Jointly Leveraging Prior Knowledge and Partial SupervisionPengjiang Qian, Jiamin Zheng, Qiankun Zheng, et al.
IEEE Access : Practical Innovations, Open Solutions|March 22, 2021
Synthetic CT Generation of the Pelvis in Patients With Cervical Cancer: A Single Input Approach Using Generative Adversarial NetworkAtallah Baydoun, K E Xu, Jin Uk Heo, et al.
Physics in Medicine and Biology|May 23, 2018
Machine learning-based dual-energy CT parametric mappingKuan-Hao Su, Jung-Wen Kuo, David W Jordan, et al.
Medical Physics|May 8, 2019
UTE-mDixon-based thorax synthetic CT generationKuan-Hao Su, Harry T Friel, Jung-Wen Kuo, et al.
IEEE Transactions on Medical Imaging|August 20, 2019
mDixon-Based Synthetic CT Generation for PET Attenuation Correction on Abdomen and Pelvis Jointly Using Transfer Fuzzy Clustering and Active Learning-Based ClassificationPengjiang Qian, Yangyang Chen, Jung-Wen Kuo, et al.
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