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

Video Summarization through Reinforcement Learning with a 3D Spatio-Temporal U-Net.

T. Liu, Q. Meng, J. Huang, A. Vlontzos, D. Rueckert, and B. Kainz. CoRR, (2021)

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.

Meng Meng

Meng Meng Liang

Meng Zhang

Methods and implementations of road-network matchingM. Zhang. TU München, (2009)

Winfried Meng

Nan Meng

Other publications of authors with the same name

Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging.Q. Meng, J. Housden, J. Matthew, D. Rueckert, J. Schnabel, B. Kainz, M. Sinclair, V. Zimmer, B. Hou, M. Rajchl and 4 other author(s). IEEE Trans. Medical Imaging, 38 (12): 2755-2767 (2019)Mutual Information-Based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging.Q. Meng, J. Matthew, V. Zimmer, A. Gómez, D. Lloyd, D. Rueckert, and B. Kainz. IEEE Trans. Medical Imaging, 40 (2): 722-734 (2021)MulViMotion: Shape-aware 3D Myocardial Motion Tracking from Multi-View Cardiac MRI.Q. Meng, C. Qin, W. Bai, T. Liu, A. de Marvao, D. O'Regan, and D. Rueckert. CoRR, (2022)Video Summarization Through Reinforcement Learning With a 3D Spatio-Temporal U-Net.T. Liu, Q. Meng, J. Huang, A. Vlontzos, D. Rueckert, and B. Kainz. IEEE Trans. Image Process., (2022)MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI.W. Zhang, B. Basaran, Q. Meng, M. Baugh, J. Stelter, P. Lung, U. Patel, W. Bai, D. Karampinos, and B. Kainz. MICCAI (10), volume 14229 of Lecture Notes in Computer Science, page 121-131. Springer, (2023)Topic popularity prediction of online social network based on single objective evolution.Q. Meng. Int. J. Auton. Adapt. Commun. Syst., 13 (4): 371-388 (2020)Mesh-Based 3D Motion Tracking in Cardiac MRI Using Deep Learning.Q. Meng, W. Bai, T. Liu, D. O'Regan, and D. Rueckert. MICCAI (6), volume 13436 of Lecture Notes in Computer Science, page 248-258. Springer, (2022)Semi-supervised Learning of Fetal Anatomy from Ultrasound.J. Tan, A. Au, Q. Meng, and B. Kainz. DART/MIL3ID@MICCAI, volume 11795 of Lecture Notes in Computer Science, page 157-164. Springer, (2019)DeepMesh: Mesh-Based Cardiac Motion Tracking Using Deep Learning.Q. Meng, W. Bai, D. O'Regan, and D. Rueckert. IEEE Trans. Medical Imaging, 43 (4): 1489-1500 (April 2024)Mutual Information-based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging.Q. Meng, J. Matthew, V. Zimmer, A. Gómez, D. Lloyd, D. Rueckert, and B. Kainz. CoRR, (2020)

BibSonomy

Disambiguation of "Meng, Qingjie"

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

Video Summarization through Reinforcement Learning with a 3D Spatio-Temporal U-Net.

Please choose a person to relate this publication to

Meng Meng

Meng Meng Liang

Meng Zhang

Winfried Meng

Nan Meng

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Meng, Qingjie"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Video Summarization through Reinforcement Learning with a 3D Spatio-Temporal U-Net.

Please choose a person to relate this publication to

Meng Meng

Meng Meng Liang

Meng Zhang

Winfried Meng

Nan Meng

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

Video Summarization through Reinforcement Learning with a 3D Spatio-Temporal U-Net.