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ARS-Net: Adaptively Rectified Supervision Network for Automated 3D Ultrasound Image Segmentation.

C. Liu, G. Dong, M. Lin, Y. Zou, T. Liang, X. He, Z. Chen, D. Ni, Y. Xiong, and L. Zhu. MICCAI (3), volume 11766 of Lecture Notes in Computer Science, page 375-383. Springer, (2019)

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Ying Ni

Pedestrian safety at urban signalised intersectionsY. Ni. TU Darmstadt, (2009)

Yi Ni

Ji Ni

Xiaoju Ni

Shaoji Ni

Other publications of authors with the same name

Bootstrap Representation Learning for Segmentation on Medical Volumes and Sequences.Z. Chen, W. Zhuo, T. Wang, W. Xue, and D. Ni. CoRR, (2021)Learn Fine-grained Adaptive Loss for Multiple Anatomical Landmark Detection in Medical Images.G. Zhou, J. Miao, X. Yang, R. Li, E. Huo, W. Shi, Y. Huang, J. Qian, C. Chen, and D. Ni. CoRR, (2021)A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI.H. Dou, D. Karimi, C. Rollins, C. Ortinau, L. Vasung, C. Velasco-Annis, A. Ouaalam, X. Yang, D. Ni, and A. Gholipour. CoRR, (2020)AutoPath: Image-Specific Inference for 3D Segmentation.D. Sun, Y. Wang, D. Ni, and T. Wang. Frontiers Neurorobotics, (2020)Melanoma Recognition in Dermoscopy Images via Aggregated Deep Convolutional Features.Z. Yu, X. Jiang, F. Zhou, J. Qin, D. Ni, S. Chen, B. Lei, and T. Wang. IEEE Trans. Biomed. Eng., 66 (4): 1006-1016 (2019)Learning based automatic head detection and measurement from fetal ultrasound images via prior knowledge and imaging parameters.D. Ni, Y. Yang, S. Li, J. Qin, S. Ouyang, T. Wang, and P. Heng. ISBI, page 772-775. IEEE, (2013)Segmentation and Recovery of Pathological MR Brain Images Using Transformed Low-Rank and Structured Sparse Decomposition.C. Lin, Y. Wang, T. Wang, and D. Ni. ISBI, page 1878-1881. IEEE, (2019)Cascaded Fully Convolutional Networks for automatic prenatal ultrasound image segmentation.L. Wu, Y. Xin, S. Li, T. Wang, P. Heng, and D. Ni. ISBI, page 663-666. IEEE, (2017)A method for real-time control of thin film composition using OES and XPS.D. Ni, Y. Lou, P. Christofides, L. Sha, S. Lao, and J. Chang. ACC, page 1320-1327. IEEE, (2003)Learning Visual Context for Group Activity Recognition.H. Yuan, and D. Ni. AAAI, page 3261-3269. AAAI Press, (2021)

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Disambiguation of "Ni, Dong"

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ARS-Net: Adaptively Rectified Supervision Network for Automated 3D Ultrasound Image Segmentation.

Please choose a person to relate this publication to

Ying Ni

Yi Ni

Ji Ni

Xiaoju Ni

Shaoji Ni

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ni, Dong"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML ARS-Net: Adaptively Rectified Supervision Network for Automated 3D Ultrasound Image Segmentation.

Please choose a person to relate this publication to

Ying Ni

Yi Ni

Ji Ni

Xiaoju Ni

Shaoji Ni

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

ARS-Net: Adaptively Rectified Supervision Network for Automated 3D Ultrasound Image Segmentation.