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RsALUNet: A reinforcement supervision U-Net-based framework for multi-ROI segmentation of medical images.

Y. Huang, J. Jiao, J. Yu, Y. Zheng, and Y. Wang. Biomed. Signal Process. Control., (July 2023)

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Jinhua Wang

Jinhua Li

Jinhua Zhang

Yu-Ting Yu

Yu-Yu Su

Other publications of authors with the same name

OmniCity: Omnipotent City Understanding with Multi-level and Multi-view Images.W. Li, Y. Lai, L. Xu, Y. Xiangli, J. Yu, C. He, G. Xia, and D. Lin. CoRR, (2022)Early identification of ischemic stroke in noncontrast computed tomography.G. Wu, J. Lin, X. Chen, Z. Li, Y. Wang, J. Zhao, and J. Yu. Biomed. Signal Process. Control., (2019)An efficient R-Transformer network with dual encoders for brain glioma segmentation in MR images.Z. Hu, L. Li, A. Sui, G. Wu, Y. Wang, and J. Yu. Biomed. Signal Process. Control., 79 (Part): 104034 (2023)Convolutional Neural Network with Asymmetric Encoding and Decoding Structure for Brain Vessel Segmentation on Computed Tomographic Angiography.G. Wu, L. Zhang, X. Chen, J. Lin, Y. Wang, and J. Yu. BrainLes@MICCAI (1), volume 12658 of Lecture Notes in Computer Science, page 51-59. Springer, (2020)Identification of Vascular Cognitive Impairment in Adult Moyamoya Disease via Integrated Graph Convolutional Network.X. Chen, W. Zeng, G. Wu, Y. Lei, W. Ni, Y. Wang, Y. Gu, and J. Yu. MICCAI (5), volume 13435 of Lecture Notes in Computer Science, page 669-678. Springer, (2022)Shape model and marginal space of 3D ultrasound volume data for automatically detecting a fetal head.S. Nie, J. Yu, Y. Wang, J. Zhang, and P. Chen. ICAILP, page 681-685. IEEE, (2014)Radiotherapy Sensitivity Prediction For Glioma Based On Graph Convolutional Networks.H. Duan, J. Yu, M. Pan, C. Ni, L. Han, Y. Yang, Y. Wang, and Z. Hu. CISP-BMEI, page 1-6. IEEE, (2023)SG-BEV: Satellite-Guided BEV Fusion for Cross-View Semantic Segmentation.J. Ye, Q. Luo, J. Yu, H. Zhong, Z. Zheng, C. He, and W. Li. CoRR, (2024)Image Quality Improvement of Hand-Held Ultrasound Devices With a Two-Stage Generative Adversarial Network.Z. Zhou, Y. Wang, Y. Guo, Y. Qi, and J. Yu. IEEE Trans. Biomed. Eng., 67 (1): 298-311 (2020)A Universal Intensity Standardization Method Based on a Many-to-One Weak-Paired Cycle Generative Adversarial Network for Magnetic Resonance Images.Y. Gao, Y. Liu, Y. Wang, Z. Shi, and J. Yu. IEEE Trans. Medical Imaging, 38 (9): 2059-2069 (2019)

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Disambiguation of "Yu, Jinhua"

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RsALUNet: A reinforcement supervision U-Net-based framework for multi-ROI segmentation of medical images.

Please choose a person to relate this publication to

Jinhua Wang

Jinhua Li

Jinhua Zhang

Yu-Ting Yu

Yu-Yu Su

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Yu, Jinhua"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML RsALUNet: A reinforcement supervision U-Net-based framework for multi-ROI segmentation of medical images.

Please choose a person to relate this publication to

Jinhua Wang

Jinhua Li

Jinhua Zhang

Yu-Ting Yu

Yu-Yu Su

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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RsALUNet: A reinforcement supervision U-Net-based framework for multi-ROI segmentation of medical images.