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Laquan Li

Showing results (1-10 of 15) with videos related to

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IEEE Transactions on Radiation and Plasma Medical Sciences|September 17, 2020
Variational PET/CT Tumor Co-segmentation Integrated with PET RestorationLaquan Li, Wei Lu, Shan Tan
Physics in Medicine and Biology|December 8, 2018
Tumor co-segmentation in PET/CT using multi-modality fully convolutional neural networkXiangming Zhao, Laquan Li, Wei Lu, et al.
Computer Vision and Image Understanding : CVIU|June 13, 2017
Simultaneous Tumor Segmentation, Image Restoration, and Blur Kernel Estimation in PET Using Multiple RegularizationsLaquan Li, Jian Wang, Wei Lu, et al.
Physics in Medicine and Biology|April 13, 2023
Research on detection method of Tubercle Bacilli based on the improved YOLOv5Yonghong Li, Cheng Zhou, Zhiqiang Zhao, et al.
Computers in Biology and Medicine|July 25, 2024
Continual medical image denoising based on triplet neural networks collaborationXianhua Zeng, Yongli Guo, Laquan Li, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|August 1, 2022
Group Sparsity Mixture Model and Its Application on Image DenoisingHaosen Liu, Laquan Li, Jiangbo Lu, et al.
Neurocomputing|August 11, 2020
Deep Learning for Variational Multimodality Tumor Segmentation in PET/CTLaquan Li, Xiangming Zhao, Wei Lu, et al.
Physics in Medicine and Biology|January 3, 2023
Automated multi-modal Transformer network (AMTNet) for 3D medical images segmentationShenhai Zheng, Jiaxin Tan, Chuangbo Jiang, et al.
Computers in Biology and Medicine|August 13, 2024
Efficient model-informed co-segmentation of tumors on PET/CT driven by clustering and classification informationLaquan Li, Chuangbo Jiang, Lei Yu, et al.
Physics in Medicine and Biology|May 20, 2020
Multi-to-binary network (MTBNet) for automated multi-organ segmentation on multi-sequence abdominal MRI imagesXiangming Zhao, Minxin Huang, Laquan Li, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Radiation and Plasma Medical Sciences|September 17, 2020
Variational PET/CT Tumor Co-segmentation Integrated with PET RestorationLaquan Li, Wei Lu, Shan Tan
Physics in Medicine and Biology|December 8, 2018
Tumor co-segmentation in PET/CT using multi-modality fully convolutional neural networkXiangming Zhao, Laquan Li, Wei Lu, et al.
Computer Vision and Image Understanding : CVIU|June 13, 2017
Simultaneous Tumor Segmentation, Image Restoration, and Blur Kernel Estimation in PET Using Multiple RegularizationsLaquan Li, Jian Wang, Wei Lu, et al.
Physics in Medicine and Biology|April 13, 2023
Research on detection method of Tubercle Bacilli based on the improved YOLOv5Yonghong Li, Cheng Zhou, Zhiqiang Zhao, et al.
Computers in Biology and Medicine|July 25, 2024
Continual medical image denoising based on triplet neural networks collaborationXianhua Zeng, Yongli Guo, Laquan Li, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|August 1, 2022
Group Sparsity Mixture Model and Its Application on Image DenoisingHaosen Liu, Laquan Li, Jiangbo Lu, et al.
Neurocomputing|August 11, 2020
Deep Learning for Variational Multimodality Tumor Segmentation in PET/CTLaquan Li, Xiangming Zhao, Wei Lu, et al.
Physics in Medicine and Biology|January 3, 2023
Automated multi-modal Transformer network (AMTNet) for 3D medical images segmentationShenhai Zheng, Jiaxin Tan, Chuangbo Jiang, et al.
Computers in Biology and Medicine|August 13, 2024
Efficient model-informed co-segmentation of tumors on PET/CT driven by clustering and classification informationLaquan Li, Chuangbo Jiang, Lei Yu, et al.
Physics in Medicine and Biology|May 20, 2020
Multi-to-binary network (MTBNet) for automated multi-organ segmentation on multi-sequence abdominal MRI imagesXiangming Zhao, Minxin Huang, Laquan Li, et al.
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