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S Kevin Zhou

Showing results (21-30 of 86) with videos related to

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Medical Image Analysis|May 27, 2024
Which images to label for few-shot medical image analysis?Quan Quan, Qingsong Yao, Heqin Zhu, et al.
IEEE Transactions on Medical Imaging|April 29, 2014
Automatic detection and measurement of structures in fetal head ultrasound volumes using sequential estimation and Integrated Detection Network (IDN)Michal Sofka, Jingdan Zhang, Sara Good, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 15, 2024
Learning to Sketch: A Neural Approach to Item Frequency Estimation in Streaming DataYukun Cao, Yuan Feng, Hairu Wang, et al.
Medical Image Analysis|November 10, 2021
DuDoDR-Net: Dual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomographyBo Zhou, Xiongchao Chen, S Kevin Zhou, et al.
IEEE Transactions on Medical Imaging|October 13, 2022
LE-UDA: Label-Efficient Unsupervised Domain Adaptation for Medical Image SegmentationZiyuan Zhao, Fangcheng Zhou, Kaixin Xu, et al.
NPJ Digital Medicine|October 17, 2024
Addressing fairness issues in deep learning-based medical image analysis: a systematic reviewZikang Xu, Jun Li, Qingsong Yao, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 19, 2011
Multi-part left atrium modeling and segmentation in C-arm CT volumes for atrial fibrillation ablationYefeng Zheng, Tianzhou Wang, Matthias John, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 1, 2010
Automatic detection and segmentation of axillary lymph nodesAdrian Barbu, Michael Suehling, Xun Xu, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 1, 2010
Model-based esophagus segmentation from CT scans using a spatial probability mapJohannes Feulner, S Kevin Zhou, Martin Huber, et al.
Ultrasonics|August 28, 2013
Material damage diagnosis and characterization for turbine rotors using three-dimensional adaptive ultrasonic NDE data reconstruction techniquesXuefei Guan, Jingdan Zhang, El Mahjoub Rasselkorde, et al.
Pageof 9

Showing results (21-30 of 86) with videos related to

Sort By:
Pageof 9
Medical Image Analysis|May 27, 2024
Which images to label for few-shot medical image analysis?Quan Quan, Qingsong Yao, Heqin Zhu, et al.
IEEE Transactions on Medical Imaging|April 29, 2014
Automatic detection and measurement of structures in fetal head ultrasound volumes using sequential estimation and Integrated Detection Network (IDN)Michal Sofka, Jingdan Zhang, Sara Good, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 15, 2024
Learning to Sketch: A Neural Approach to Item Frequency Estimation in Streaming DataYukun Cao, Yuan Feng, Hairu Wang, et al.
Medical Image Analysis|November 10, 2021
DuDoDR-Net: Dual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomographyBo Zhou, Xiongchao Chen, S Kevin Zhou, et al.
IEEE Transactions on Medical Imaging|October 13, 2022
LE-UDA: Label-Efficient Unsupervised Domain Adaptation for Medical Image SegmentationZiyuan Zhao, Fangcheng Zhou, Kaixin Xu, et al.
NPJ Digital Medicine|October 17, 2024
Addressing fairness issues in deep learning-based medical image analysis: a systematic reviewZikang Xu, Jun Li, Qingsong Yao, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 19, 2011
Multi-part left atrium modeling and segmentation in C-arm CT volumes for atrial fibrillation ablationYefeng Zheng, Tianzhou Wang, Matthias John, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 1, 2010
Automatic detection and segmentation of axillary lymph nodesAdrian Barbu, Michael Suehling, Xun Xu, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 1, 2010
Model-based esophagus segmentation from CT scans using a spatial probability mapJohannes Feulner, S Kevin Zhou, Martin Huber, et al.
Ultrasonics|August 28, 2013
Material damage diagnosis and characterization for turbine rotors using three-dimensional adaptive ultrasonic NDE data reconstruction techniquesXuefei Guan, Jingdan Zhang, El Mahjoub Rasselkorde, et al.
Pageof 9