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Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge.

G. Luo, K. Wang, J. Liu, S. Li, X. Liang, X. Li, S. Gan, W. Wang, S. Dong, W. Wang, P. Yu, E. Liu, H. Wei, N. Wang, J. Guo, H. Li, Z. Zhang, Z. Zhao, N. Gao, N. An, A. Pakzad, B. Rangelov, J. Dou, S. Tian, Z. Liu, Y. Wang, A. Sivalingam, K. Punithakumar, Z. Qiu, and X. Gao. CoRR, (2023)

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Michael Döngi

Purinerge und GAbAerge Calciumsignale in Astrozyten des Bulbus olfactorius der MausM. Döngi. TU Kaiserslautern, (2009)

Dong Chen

Acceleration of the spatial selective excitation of MRI via sparse approximationD. Chen. TU München, (2009)

Dieter Dönges

Manfred Dönges

Johannes Dönges

Other publications of authors with the same name

Weakly Supervised Deformation Network for 3D Echocardiography Segmentation on Left Ventricle.S. Dong, G. Luo, N. Wulan, S. Cao, K. Wang, and H. Zhang. CinC, page 1-5. IEEE, (2019)A Left Ventricular Segmentation Method on 3D Echocardiography Using Deep Learning and Snake.S. Dong, G. Luo, G. Sun, K. Wang, and H. Zhang. CinC, www.cinc.org, (2016)A Deep Learning Network for Right Ventricle Segmentation in Short-Axis MRI.G. Luo, R. An, K. Wang, S. Dong, and H. Zhang. CinC, www.cinc.org, (2016)VoxelAtlasGAN: 3D Left Ventricle Segmentation on Echocardiography with Atlas Guided Generation and Voxel-to-Voxel Discrimination.S. Dong, G. Luo, K. Wang, S. Cao, A. Mercado, O. Shmuilovich, H. Zhang, and S. Li. MICCAI (4), volume 11073 of Lecture Notes in Computer Science, page 622-629. Springer, (2018)A Deep Reinforcement Learning Framework for Frame-by-Frame Plaque Tracking on Intravascular Optical Coherence Tomography Image.G. Luo, S. Dong, K. Wang, D. Zhang, Y. Gao, X. Chen, H. Zhang, and S. Li. MICCAI (1), volume 11764 of Lecture Notes in Computer Science, page 12-20. Springer, (2019)Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge.G. Luo, K. Wang, J. Liu, S. Li, X. Liang, X. Li, S. Gan, W. Wang, S. Dong, W. Wang and 20 other author(s). CoRR, (2023)Calcium Calmodulin Dependent Protein Kinase II (CaMKII) Contribute to Arrhythmias after Acidosis: A Simulation Study.H. Liu, K. Wang, J. Bai, S. Dong, and H. Zhang. CinC, www.cinc.org, (2016)A Combined Multi-scale Deep Learning and Random Forests Approach for Direct Left Ventricular Volumes Estimation in 3D Echocardiography.S. Dong, G. Luo, G. Sun, K. Wang, and H. Zhang. CinC, www.cinc.org, (2016)Graph Convolutional Network with Neural Inductive Matrix Completion for Predicting Disease-Related LncRNA Genes.Q. Yang, S. Zhang, S. Dong, L. Xu, W. Dong, X. Li, P. Sun, F. Jiang, X. Zhang, and G. Luo. BIBM, page 3595-3601. IEEE, (2023)Deep Atlas Network for Efficient 3D Left Ventricle Segmentation on Echocardiography.S. Dong, G. Luo, C. Tam, W. Wang, K. Wang, S. Cao, B. Chen, H. Zhang, and S. Li. Medical Image Anal., (2020)

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Disambiguation of "Dong, Suyu"

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Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge.

Please choose a person to relate this publication to

Michael Döngi

Dong Chen

Dieter Dönges

Manfred Dönges

Johannes Dönges

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Dong, Suyu"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge.

Please choose a person to relate this publication to

Michael Döngi

Dong Chen

Dieter Dönges

Manfred Dönges

Johannes Dönges

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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Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge.