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Liyun Tu

Showing results (1-10 of 17) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Robust and Generable Vertebrae Instance Segmentation with Domain AdaptationXiang Gao, Liyun Tu, Yongzhi Huang, et al.
JMIR Medical Informatics|February 12, 2020
Detecting Potential Medication Selection Errors During Outpatient Pharmacy Processing of Electronic Prescriptions With the RxNorm Application Programming Interface: Retrospective Observational Cohort StudyCorey A Lester, Liyun Tu, Yuting Ding, et al.
IEEE Transactions on Signal Processing : a Publication of the IEEE Signal Processing Society|February 13, 2023
Supervising the Decoder of Variational Autoencoders to Improve Scientific UtilityLiyun Tu, Austin Talbot, Neil M Gallagher, et al.
Frontiers in Neurology|May 9, 2025
Automatic segmentation and quantitative analysis of brain CT volume in 2-year-olds using deep learning modelFengjun Xi, Liyun Tu, Feng Zhou, et al.
IEEE Signal Processing Letters|August 13, 2019
Fitting Skeletal Object Models Using Spherical Harmonics Based Template WarpingLiyun Tu, Dan Yang, Jared Vicory, et al.
Medical Image Analysis|May 31, 2025
Efficient few-shot medical image segmentation via self-supervised variational autoencoderYanjie Zhou, Feng Zhou, Fengjun Xi, et al.
Proceedings of Spie--The International Society for Optical Engineering|June 2, 2015
Skeletal shape correspondence via entropy minimizationLiyun Tu, Martin Styner, Jared Vicory, et al.
Plastic and Reconstructive Surgery|November 26, 2019
Quantification of Head Shape from Three-Dimensional Photography for Presurgical and Postsurgical Evaluation of CraniosynostosisAntonio R Porras, Liyun Tu, Deki Tsering, et al.
Computer Vision and Image Understanding : CVIU|January 28, 2020
Entropy-based Correspondence Improvement of Interpolated Skeletal ModelsLiyun Tu, Jared Vicory, Shireen Elhabian, et al.
Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures : 4Th International Workshop, CARE 2017, and 6Th International Workshop, CLIP 2017, Held in Conjunction with MICCAI 2017 Quebec City, QC, Canada, September 14,|November 24, 2017
Intracranial Volume Quantification from 3D PhotographyLiyun Tu, Antonio R Porras, Scott Ensel, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Robust and Generable Vertebrae Instance Segmentation with Domain AdaptationXiang Gao, Liyun Tu, Yongzhi Huang, et al.
JMIR Medical Informatics|February 12, 2020
Detecting Potential Medication Selection Errors During Outpatient Pharmacy Processing of Electronic Prescriptions With the RxNorm Application Programming Interface: Retrospective Observational Cohort StudyCorey A Lester, Liyun Tu, Yuting Ding, et al.
IEEE Transactions on Signal Processing : a Publication of the IEEE Signal Processing Society|February 13, 2023
Supervising the Decoder of Variational Autoencoders to Improve Scientific UtilityLiyun Tu, Austin Talbot, Neil M Gallagher, et al.
Frontiers in Neurology|May 9, 2025
Automatic segmentation and quantitative analysis of brain CT volume in 2-year-olds using deep learning modelFengjun Xi, Liyun Tu, Feng Zhou, et al.
IEEE Signal Processing Letters|August 13, 2019
Fitting Skeletal Object Models Using Spherical Harmonics Based Template WarpingLiyun Tu, Dan Yang, Jared Vicory, et al.
Medical Image Analysis|May 31, 2025
Efficient few-shot medical image segmentation via self-supervised variational autoencoderYanjie Zhou, Feng Zhou, Fengjun Xi, et al.
Proceedings of Spie--The International Society for Optical Engineering|June 2, 2015
Skeletal shape correspondence via entropy minimizationLiyun Tu, Martin Styner, Jared Vicory, et al.
Plastic and Reconstructive Surgery|November 26, 2019
Quantification of Head Shape from Three-Dimensional Photography for Presurgical and Postsurgical Evaluation of CraniosynostosisAntonio R Porras, Liyun Tu, Deki Tsering, et al.
Computer Vision and Image Understanding : CVIU|January 28, 2020
Entropy-based Correspondence Improvement of Interpolated Skeletal ModelsLiyun Tu, Jared Vicory, Shireen Elhabian, et al.
Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures : 4Th International Workshop, CARE 2017, and 6Th International Workshop, CLIP 2017, Held in Conjunction with MICCAI 2017 Quebec City, QC, Canada, September 14,|November 24, 2017
Intracranial Volume Quantification from 3D PhotographyLiyun Tu, Antonio R Porras, Scott Ensel, et al.
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