Author of the publication

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

SGT++: Improved Scene Graph-Guided Transformer for Surgical Report Generation.

C. Lin, Z. Zhu, Y. Zhao, Y. Zhang, K. He, and Y. Zhao. IEEE Trans. Medical Imaging, 43 (4): 1337-1346 (April 2024)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Hongxia He

Chunmao He

Ning He

Yunbin He

Xuehui He

Other publications of authors with the same name

Real order total variation with applications to the loss functions in learning schemes.P. Liu, X. Lu, and K. He. CoRR, (2022)Deep representation learning for individualized treatment effect estimation using electronic health records.P. Chen, W. Dong, X. Lu, U. Kaymak, K. He, and Z. Huang. J. Biomed. Informatics, (2019)Probabilistic modeling personalized treatment pathways using electronic health records.Z. Huang, Z. Ge, W. Dong, K. He, and H. Duan. J. Biomed. Informatics, (2018)Multi-task oriented diffusion model for mortality prediction in shock patients with incomplete data.W. Zhao, Z. Chen, P. Xie, J. Liu, S. Hou, L. Xu, Y. Qiu, D. Wu, J. Xiao, and K. He. Inf. Fusion, (May 2024)A Multi-Task Neural Network Architecture for Renal Dysfunction Prediction in Heart Failure Patients With Electronic Health Records.B. Wang, K. He, Y. Bai, Z. Yao, J. Li, W. Dong, Y. Tu, W. Xue, Y. Tian, and Y. Wang. IEEE Access, (2019)DeepKG: an end-to-end deep learning-based workflow for biomedical knowledge graph extraction, optimization and applications.Z. Li, Q. Zhong, J. Yang, Y. Duan, W. Wang, C. Wu, and K. He. Bioinform., 38 (5): 1477-1479 (2022)Treatment effect prediction with adversarial deep learning using electronic health records.J. Chu, W. Dong, J. Wang, K. He, and Z. Huang. BMC Medical Informatics Decis. Mak., 20-S (4): 139 (2020)Using neural attention networks to detect adverse medical events from electronic health records.J. Chu, W. Dong, K. He, H. Duan, and Z. Huang. J. Biomed. Informatics, (2018)On Clinical Event Prediction in Patient Treatment Trajectory Using Longitudinal Electronic Health Records.H. Duan, Z. Sun, W. Dong, K. He, and Z. Huang. IEEE J. Biomed. Health Informatics, 24 (7): 2053-2063 (2020)CUTS: Neural Causal Discovery from Irregular Time-Series Data.Y. Cheng, R. Yang, T. Xiao, Z. Li, J. Suo, K. He, and Q. Dai. ICLR, OpenReview.net, (2023)

BibSonomy

Disambiguation of "He, Kunlun"

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

SGT++: Improved Scene Graph-Guided Transformer for Surgical Report Generation.

Please choose a person to relate this publication to

Hongxia He

Chunmao He

Ning He

Yunbin He

Xuehui He

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "He, Kunlun"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML SGT++: Improved Scene Graph-Guided Transformer for Surgical Report Generation.

Please choose a person to relate this publication to

Hongxia He

Chunmao He

Ning He

Yunbin He

Xuehui He

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

SGT++: Improved Scene Graph-Guided Transformer for Surgical Report Generation.