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Lequan Yu

Showing results (1-10 of 100) with videos related to

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IEEE Transactions on Medical Imaging|July 16, 2025
Scaling Chest X-ray Foundation Models from Mixed Supervisions for Dense PredictionFuying Wang, Lequan Yu
IEEE Transactions on Medical Imaging|July 12, 2023
RECIST-Induced Reliable Learning: Geometry-Driven Label Propagation for Universal Lesion SegmentationLianyu Zhou, Lequan Yu, Liansheng Wang
Frontiers in Neuroscience|September 4, 2023
Editorial: Deep learning for multimodal brain data processing and analysisLiansheng Wang, Lequan Yu, Baptiste Magnier
Medical Image Analysis|April 3, 2022
Towards reliable cardiac image segmentation: Assessing image-level and pixel-level segmentation quality via self-reflective referencesKang Li, Lequan Yu, Pheng-Ann Heng
IEEE Transactions on Medical Imaging|October 3, 2022
Domain-Incremental Cardiac Image Segmentation With Style-Oriented Replay and Domain-Sensitive Feature WhiteningKang Li, Lequan Yu, Pheng-Ann Heng
IEEE Transactions on Medical Imaging|September 21, 2020
Deep Sinogram Completion With Image Prior for Metal Artifact Reduction in CT ImagesLequan Yu, Zhicheng Zhang, Xiaomeng Li, et al.
Medical Physics|February 17, 2021
Modularized data-driven reconstruction framework for nonideal focal spot effect elimination in computed tomographyZhicheng Zhang, Lequan Yu, Wei Zhao, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 12, 2022
MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic SegmentationZhenchao Jin, Dongdong Yu, Zehuan Yuan, et al.
Neural Networks : the Official Journal of the International Neural Network Society|August 24, 2024
Multi-task heterogeneous graph learning on electronic health recordsTsai Hor Chan, Guosheng Yin, Kyongtae Bae, et al.
IEEE Transactions on Medical Imaging|November 17, 2020
Dual-Teacher++: Exploiting Intra-Domain and Inter-Domain Knowledge With Reliable Transfer for Cardiac SegmentationKang Li, Shujun Wang, Lequan Yu, et al.
Pageof 10

Showing results (1-10 of 100) with videos related to

Sort By:
Pageof 10
IEEE Transactions on Medical Imaging|July 16, 2025
Scaling Chest X-ray Foundation Models from Mixed Supervisions for Dense PredictionFuying Wang, Lequan Yu
IEEE Transactions on Medical Imaging|July 12, 2023
RECIST-Induced Reliable Learning: Geometry-Driven Label Propagation for Universal Lesion SegmentationLianyu Zhou, Lequan Yu, Liansheng Wang
Frontiers in Neuroscience|September 4, 2023
Editorial: Deep learning for multimodal brain data processing and analysisLiansheng Wang, Lequan Yu, Baptiste Magnier
Medical Image Analysis|April 3, 2022
Towards reliable cardiac image segmentation: Assessing image-level and pixel-level segmentation quality via self-reflective referencesKang Li, Lequan Yu, Pheng-Ann Heng
IEEE Transactions on Medical Imaging|October 3, 2022
Domain-Incremental Cardiac Image Segmentation With Style-Oriented Replay and Domain-Sensitive Feature WhiteningKang Li, Lequan Yu, Pheng-Ann Heng
IEEE Transactions on Medical Imaging|September 21, 2020
Deep Sinogram Completion With Image Prior for Metal Artifact Reduction in CT ImagesLequan Yu, Zhicheng Zhang, Xiaomeng Li, et al.
Medical Physics|February 17, 2021
Modularized data-driven reconstruction framework for nonideal focal spot effect elimination in computed tomographyZhicheng Zhang, Lequan Yu, Wei Zhao, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 12, 2022
MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic SegmentationZhenchao Jin, Dongdong Yu, Zehuan Yuan, et al.
Neural Networks : the Official Journal of the International Neural Network Society|August 24, 2024
Multi-task heterogeneous graph learning on electronic health recordsTsai Hor Chan, Guosheng Yin, Kyongtae Bae, et al.
IEEE Transactions on Medical Imaging|November 17, 2020
Dual-Teacher++: Exploiting Intra-Domain and Inter-Domain Knowledge With Reliable Transfer for Cardiac SegmentationKang Li, Shujun Wang, Lequan Yu, et al.
Pageof 10