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PE-MED: Prompt Enhancement for Interactive Medical Image Segmentation.

A. Chang, X. Tao, X. Yang, Y. Huang, X. Zhou, J. Zeng, R. Huang, and D. Ni. MLMI@MICCAI (1), volume 14348 of Lecture Notes in Computer Science, page 257-266. Springer, (2023)

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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

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)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)Bootstrap Representation Learning for Segmentation on Medical Volumes and Sequences.Z. Chen, W. Zhuo, T. Wang, W. Xue, and D. Ni. CoRR, (2021)Unsupervised 3D End-to-end Deformable Network for Brain MRI Registration.Z. Zhu, Y. Cao, C. Qin, Y. Rao, D. Ni, and Y. Wang. EMBC, page 1355-1359. IEEE, (2020)Segmenting overlapping cervical cell in Pap smear images.Y. Song, J. Cheng, D. Ni, S. Chen, B. Lei, and T. Wang. ISBI, page 1159-1162. IEEE, (2016)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)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)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)

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Disambiguation of "Ni, Dong"

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PE-MED: Prompt Enhancement for Interactive Medical 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 PE-MED: Prompt Enhancement for Interactive Medical 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
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PE-MED: Prompt Enhancement for Interactive Medical Image Segmentation.