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Gongning Luo

Showing results (31-40 of 59) with videos related to

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IEEE Journal of Biomedical and Health Informatics|June 27, 2025
Causality-Adjusted Data Augmentation for Domain Continual Medical Image SegmentationZhanshi Zhu, Qing Dong, Gongning Luo, et al.
Computers in Biology and Medicine|November 1, 2025
A 3D self-configuring hybrid transformer with multi-task learning for 3D automated breast ultrasound segmentationHyunsu Jeong, Chiho Yoon, Hyunseok Lim, et al.
Medical Image Analysis|February 24, 2024
Boosting knowledge diversity, accuracy, and stability via tri-enhanced distillation for domain continual medical image segmentationZhanshi Zhu, Xinghua Ma, Wei Wang, et al.
Physics in Medicine and Biology|December 10, 2024
An improved Patlak-based K<sub>i</sub>parametric imaging approach for clinical<sup>18</sup>F-FDG total-body PETWenjian Gu, Zhanshi Zhu, Ze Liu, et al.
IEEE Journal of Biomedical and Health Informatics|May 21, 2026
Anatomy-Guided Spatiotemporal Affinity Learning for Unsupervised Domain Adaptation in Echocardiography SegmentationXinyan Fang, Xinghua Ma, Yang Liu, et al.
Medical Image Analysis|November 10, 2019
Commensal correlation network between segmentation and direct area estimation for bi-ventricle quantificationGongning Luo, Suyu Dong, Wei Wang, et al.
European Journal of Nuclear Medicine and Molecular Imaging|December 2, 2024
Self-supervised neural network for Patlak-based parametric imaging in dynamic [<sup>18</sup>F]FDG total-body PETWenjian Gu, Zhanshi Zhu, Ze Liu, et al.
IEEE Journal of Biomedical and Health Informatics|March 3, 2025
MedFILIP: Medical Fine-Grained Language-Image Pre-TrainingXinjie Liang, Xiangyu Li, Fanding Li, et al.
European Radiology|April 30, 2022
Performance of novel deep learning network with the incorporation of the automatic segmentation network for diagnosis of breast cancer in automated breast ultrasoundQiucheng Wang, He Chen, Gongning Luo, et al.
EJNMMI Physics|February 14, 2026
Patlak-PBNT: a simple population-based Patlak model to generate [<sup>68</sup>Ga]Ga-PSMA-11 K<sub>i</sub> parametric images for shortened total-body PET scanLianghua Li, Wenjian Gu, Wentong Yang, et al.
Pageof 6

Showing results (31-40 of 59) with videos related to

Sort By:
Pageof 6
IEEE Journal of Biomedical and Health Informatics|June 27, 2025
Causality-Adjusted Data Augmentation for Domain Continual Medical Image SegmentationZhanshi Zhu, Qing Dong, Gongning Luo, et al.
Computers in Biology and Medicine|November 1, 2025
A 3D self-configuring hybrid transformer with multi-task learning for 3D automated breast ultrasound segmentationHyunsu Jeong, Chiho Yoon, Hyunseok Lim, et al.
Medical Image Analysis|February 24, 2024
Boosting knowledge diversity, accuracy, and stability via tri-enhanced distillation for domain continual medical image segmentationZhanshi Zhu, Xinghua Ma, Wei Wang, et al.
Physics in Medicine and Biology|December 10, 2024
An improved Patlak-based K<sub>i</sub>parametric imaging approach for clinical<sup>18</sup>F-FDG total-body PETWenjian Gu, Zhanshi Zhu, Ze Liu, et al.
IEEE Journal of Biomedical and Health Informatics|May 21, 2026
Anatomy-Guided Spatiotemporal Affinity Learning for Unsupervised Domain Adaptation in Echocardiography SegmentationXinyan Fang, Xinghua Ma, Yang Liu, et al.
Medical Image Analysis|November 10, 2019
Commensal correlation network between segmentation and direct area estimation for bi-ventricle quantificationGongning Luo, Suyu Dong, Wei Wang, et al.
European Journal of Nuclear Medicine and Molecular Imaging|December 2, 2024
Self-supervised neural network for Patlak-based parametric imaging in dynamic [<sup>18</sup>F]FDG total-body PETWenjian Gu, Zhanshi Zhu, Ze Liu, et al.
IEEE Journal of Biomedical and Health Informatics|March 3, 2025
MedFILIP: Medical Fine-Grained Language-Image Pre-TrainingXinjie Liang, Xiangyu Li, Fanding Li, et al.
European Radiology|April 30, 2022
Performance of novel deep learning network with the incorporation of the automatic segmentation network for diagnosis of breast cancer in automated breast ultrasoundQiucheng Wang, He Chen, Gongning Luo, et al.
EJNMMI Physics|February 14, 2026
Patlak-PBNT: a simple population-based Patlak model to generate [<sup>68</sup>Ga]Ga-PSMA-11 K<sub>i</sub> parametric images for shortened total-body PET scanLianghua Li, Wenjian Gu, Wentong Yang, et al.
Pageof 6