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Hongming Shan

Showing results (41-50 of 58) with videos related to

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Medical Physics|July 24, 2023
Weakly supervised learning-based 3D bladder reconstruction from 2D ultrasound images for bladder volume measurementZhao Peng, Hongming Shan, Xiaoyu Yang, et al.
Physics in Medicine and Biology|October 17, 2019
A dual-stream deep convolutional network for reducing metal streak artifacts in CT imagesLars Gjesteby, Hongming Shan, Qingsong Yang, et al.
IEEE Transactions on Medical Imaging|January 7, 2020
Quadratic Autoencoder (Q-AE) for Low-Dose CT DenoisingFenglei Fan, Hongming Shan, Mannudeep K Kalra, et al.
Medical Image Analysis|May 5, 2026
E<sup>2</sup>AD: Enhanced and explainable Alzheimer's disease detection framework via anatomy- and relation-aware cross-modal knowledge distillationChenhui Wang, Sirong Piao, Zhihao Chen, et al.
Patterns (New York, N.Y.)|May 24, 2022
Stabilizing deep tomographic reconstruction: Part B. Convergence analysis and adversarial attacksWeiwen Wu, Dianlin Hu, Wenxiang Cong, et al.
Patterns (New York, N.Y.)|May 24, 2022
Stabilizing deep tomographic reconstruction: Part A. Hybrid framework and experimental resultsWeiwen Wu, Dianlin Hu, Wenxiang Cong, et al.
Physics in Medicine and Biology|October 29, 2021
An ensemble learning method based on ordinal regression for COVID-19 diagnosis from chest CTXiaodong Guo, Yiming Lei, Peng He, et al.
IEEE Access : Practical Innovations, Open Solutions|March 26, 2019
Structurally-sensitive Multi-scale Deep Neural Network for Low-Dose CT DenoisingChenyu You, Qingsong Yang, Hongming Shan, et al.
Medical Physics|December 8, 2019
A two-dimensional feasibility study of deep learning-based feature detection and characterization directly from CT sinogramsQuinten De Man, Eri Haneda, Bernhard Claus, et al.
Nature Communications|May 21, 2021
Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomographyHanqing Chao, Hongming Shan, Fatemeh Homayounieh, et al.
Pageof 6

Showing results (41-50 of 58) with videos related to

Sort By:
Pageof 6
Medical Physics|July 24, 2023
Weakly supervised learning-based 3D bladder reconstruction from 2D ultrasound images for bladder volume measurementZhao Peng, Hongming Shan, Xiaoyu Yang, et al.
Physics in Medicine and Biology|October 17, 2019
A dual-stream deep convolutional network for reducing metal streak artifacts in CT imagesLars Gjesteby, Hongming Shan, Qingsong Yang, et al.
IEEE Transactions on Medical Imaging|January 7, 2020
Quadratic Autoencoder (Q-AE) for Low-Dose CT DenoisingFenglei Fan, Hongming Shan, Mannudeep K Kalra, et al.
Medical Image Analysis|May 5, 2026
E<sup>2</sup>AD: Enhanced and explainable Alzheimer's disease detection framework via anatomy- and relation-aware cross-modal knowledge distillationChenhui Wang, Sirong Piao, Zhihao Chen, et al.
Patterns (New York, N.Y.)|May 24, 2022
Stabilizing deep tomographic reconstruction: Part B. Convergence analysis and adversarial attacksWeiwen Wu, Dianlin Hu, Wenxiang Cong, et al.
Patterns (New York, N.Y.)|May 24, 2022
Stabilizing deep tomographic reconstruction: Part A. Hybrid framework and experimental resultsWeiwen Wu, Dianlin Hu, Wenxiang Cong, et al.
Physics in Medicine and Biology|October 29, 2021
An ensemble learning method based on ordinal regression for COVID-19 diagnosis from chest CTXiaodong Guo, Yiming Lei, Peng He, et al.
IEEE Access : Practical Innovations, Open Solutions|March 26, 2019
Structurally-sensitive Multi-scale Deep Neural Network for Low-Dose CT DenoisingChenyu You, Qingsong Yang, Hongming Shan, et al.
Medical Physics|December 8, 2019
A two-dimensional feasibility study of deep learning-based feature detection and characterization directly from CT sinogramsQuinten De Man, Eri Haneda, Bernhard Claus, et al.
Nature Communications|May 21, 2021
Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomographyHanqing Chao, Hongming Shan, Fatemeh Homayounieh, et al.
Pageof 6