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SwinUNETR-V2: Stronger Swin Transformers with Stagewise Convolutions for 3D Medical Image Segmentation.

Y. He, V. Nath, D. Yang, Y. Tang, A. Myronenko, and D. Xu. MICCAI (4), volume 14223 of Lecture Notes in Computer Science, page 416-426. Springer, (2023)

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Yucheng Feng

Yucheng Jie

Tang Tang

Fei Tang

Jian Tang

Other publications of authors with the same name

A frog-inspired swimming robot based on dielectric elastomer actuators.Y. Tang, L. Qin, X. Li, C. Chew, and J. Zhu. IROS, page 2403-2408. IEEE, (2017)Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography.T. Li, K. Xu, R. Gao, Y. Tang, T. Lasko, F. Maldonado, K. Sandler, and B. Landman. CoRR, (2022)Rap-Net: Coarse-To-Fine Multi-Organ Segmentation With Single Random Anatomical Prior.H. Lee, Y. Tang, S. Bao, R. Abramson, Y. Huo, and B. Landman. ISBI, page 1491-1494. IEEE, (2021)Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training.J. Valanarasu, Y. Tang, D. Yang, Z. Xu, C. Zhao, W. Li, V. Patel, B. Landman, D. Xu, Y. He and 1 other author(s). CoRR, (2023)SwinUNETR-V2: Stronger Swin Transformers with Stagewise Convolutions for 3D Medical Image Segmentation.Y. He, V. Nath, D. Yang, Y. Tang, A. Myronenko, and D. Xu. MICCAI (4), volume 14223 of Lecture Notes in Computer Science, page 416-426. Springer, (2023)PrPSeg: Universal Proposition Learning for Panoramic Renal Pathology Segmentation.R. Deng, Q. Liu, C. Cui, T. Yao, J. Yue, J. Xiong, L. Yu, Y. Wu, M. Yin, Y. Wang and 4 other author(s). CVPR, page 11736-11746. IEEE, (2024)Annotating 8, 000 Abdominal CT Volumes for Multi-Organ Segmentation in Three Weeks.C. Qu, T. Zhang, H. Qiao, J. Liu, Y. Tang, A. Yuille, and Z. Zhou. CoRR, (2023)Enhancing Logistics Automation: Integrating Capacitive Proximity and Tactile Sensors for Trolley Pose and Center of Mass Estimation.Y. Tang, I. Mamaev, and B. Hein. CASE, page 804-811. IEEE, (2024)Feasibility of Universal Anomaly Detection Without Knowing the Abnormality in Medical Images.C. Cui, Y. Wang, S. Bao, Y. Tang, R. Deng, L. Remedios, Z. Asad, J. Roland, K. Lau, Q. Liu and 4 other author(s). MILLanD@MICCAI, volume 14307 of Lecture Notes in Computer Science, page 82-92. Springer, (2023)Improving splenomegaly segmentation by learning from heterogeneous multi-source labels.Y. Tang, Y. Huo, Y. Xiong, H. Moon, A. Assad, T. Moyo, M. Savona, R. Abramson, and B. Landman. Image Processing, volume 10949 of SPIE Proceedings, page 1094908. SPIE, (2019)

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Disambiguation of "Tang, Yucheng"

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SwinUNETR-V2: Stronger Swin Transformers with Stagewise Convolutions for 3D Medical Image Segmentation.

Please choose a person to relate this publication to

Yucheng Feng

Yucheng Jie

Tang Tang

Fei Tang

Jian Tang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Tang, Yucheng"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML SwinUNETR-V2: Stronger Swin Transformers with Stagewise Convolutions for 3D Medical Image Segmentation.

Please choose a person to relate this publication to

Yucheng Feng

Yucheng Jie

Tang Tang

Fei Tang

Jian Tang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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Chicago
DIN 1505
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SwinUNETR-V2: Stronger Swin Transformers with Stagewise Convolutions for 3D Medical Image Segmentation.