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Yitao Jiang

Showing results (1-10 of 16) with videos related to

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Nature Communications|July 2, 2025
Modular shape-changing tensegrity-blocks enable self-assembling robotic structuresLuyang Zhao, Yitao Jiang, Muhao Chen, et al.
Sensors (Basel, Switzerland)|July 27, 2024
DeMambaNet: Deformable Convolution and Mamba Integration Network for High-Precision Segmentation of Ambiguously Defined Dental Radicular BoundariesBinfeng Zou, Xingru Huang, Yitao Jiang, et al.
Soft Robotics|June 10, 2025
SoftSnap: Rapid Prototyping of Untethered Soft Robots Using Snap-Together ModulesLuyang Zhao, Yitao Jiang, Chun-Yi She, et al.
Quantitative Imaging in Medicine and Surgery|January 22, 2025
An automatic and real-time echocardiography quality scoring system based on deep learning to improve reproducible assessment of left ventricular ejection fractionXiaoshan Li, Lisi Liao, Kai Wu, et al.
Ultrasound in Medicine & Biology|February 18, 2024
Diagnostic Performance of Deep Learning in Video-Based Ultrasonography for Breast Cancer: A Retrospective Multicentre StudyJing Chen, Zhibin Huang, Yitao Jiang, et al.
BMC Medical Informatics and Decision Making|January 3, 2024
A validation of an entropy-based artificial intelligence for ultrasound data in breast tumorsZhibin Huang, Keen Yang, Hongtian Tian, et al.
Frontiers in Oncology|July 25, 2022
A Comparative Study of Multiple Deep Learning Models Based on Multi-Input Resolution for Breast Ultrasound ImagesHuaiyu Wu, Xiuqin Ye, Yitao Jiang, et al.
Heliyon|September 4, 2023
The effect of image resolution on convolutional neural networks in breast ultrasoundShuzhen Tang, Chen Jing, Yitao Jiang, et al.
Computer Methods and Programs in Biomedicine|October 22, 2022
How much can AI see in early pregnancy: A multi-center study of fetus head characterization in week 10-14 in ultrasound using deep learningQi Lin, Yuli Zhou, Siyuan Shi, et al.
Iscience|March 25, 2024
Multi-modality deep learning model reaches high prediction accuracy in the diagnosis of ovarian cancerZimo Wang, Shuyu Luo, Jing Chen, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Nature Communications|July 2, 2025
Modular shape-changing tensegrity-blocks enable self-assembling robotic structuresLuyang Zhao, Yitao Jiang, Muhao Chen, et al.
Sensors (Basel, Switzerland)|July 27, 2024
DeMambaNet: Deformable Convolution and Mamba Integration Network for High-Precision Segmentation of Ambiguously Defined Dental Radicular BoundariesBinfeng Zou, Xingru Huang, Yitao Jiang, et al.
Soft Robotics|June 10, 2025
SoftSnap: Rapid Prototyping of Untethered Soft Robots Using Snap-Together ModulesLuyang Zhao, Yitao Jiang, Chun-Yi She, et al.
Quantitative Imaging in Medicine and Surgery|January 22, 2025
An automatic and real-time echocardiography quality scoring system based on deep learning to improve reproducible assessment of left ventricular ejection fractionXiaoshan Li, Lisi Liao, Kai Wu, et al.
Ultrasound in Medicine & Biology|February 18, 2024
Diagnostic Performance of Deep Learning in Video-Based Ultrasonography for Breast Cancer: A Retrospective Multicentre StudyJing Chen, Zhibin Huang, Yitao Jiang, et al.
BMC Medical Informatics and Decision Making|January 3, 2024
A validation of an entropy-based artificial intelligence for ultrasound data in breast tumorsZhibin Huang, Keen Yang, Hongtian Tian, et al.
Frontiers in Oncology|July 25, 2022
A Comparative Study of Multiple Deep Learning Models Based on Multi-Input Resolution for Breast Ultrasound ImagesHuaiyu Wu, Xiuqin Ye, Yitao Jiang, et al.
Heliyon|September 4, 2023
The effect of image resolution on convolutional neural networks in breast ultrasoundShuzhen Tang, Chen Jing, Yitao Jiang, et al.
Computer Methods and Programs in Biomedicine|October 22, 2022
How much can AI see in early pregnancy: A multi-center study of fetus head characterization in week 10-14 in ultrasound using deep learningQi Lin, Yuli Zhou, Siyuan Shi, et al.
Iscience|March 25, 2024
Multi-modality deep learning model reaches high prediction accuracy in the diagnosis of ovarian cancerZimo Wang, Shuyu Luo, Jing Chen, et al.
Pageof 2