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Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning.

A. Murali, D. Alapatt, P. Mascagni, A. Vardazaryan, A. Garcia, N. Okamoto, D. Mutter, and N. Padoy. CoRR, (2023)

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Bernd Mütter

Manfred Mutter

Claus Mütter

Andreas Mutter

Wolfgang Mutter

Other publications of authors with the same name

Future-State Predicting LSTM for Early Surgery Type Recognition.S. Kannan, G. Yengera, D. Mutter, J. Marescaux, and N. Padoy. CoRR, (2018)Weakly supervised convolutional LSTM approach for tool tracking in laparoscopic videos.C. Nwoye, D. Mutter, J. Marescaux, and N. Padoy. Int. J. Comput. Assist. Radiol. Surg., 14 (6): 1059-1067 (2019)Temporally Constrained Neural Networks (TCNN): A framework for semi-supervised video semantic segmentation.D. Alapatt, P. Mascagni, A. Vardazaryan, A. Garcia, N. Okamoto, D. Mutter, J. Marescaux, G. Costamagna, B. Dallemagne, and N. Padoy. CoRR, (2021)Preserving Privacy in Surgical Video Analysis Using Artificial Intelligence: A Deep Learning Classifier to Identify Out-of-Body Scenes in Endoscopic Videos.J. Lavanchy, A. Vardazaryan, P. Mascagni, A. Consortium, D. Mutter, and N. Padoy. CoRR, (2023)Real-Time Artificial Intelligence Assistance for Safe Laparoscopic Cholecystectomy: Early-Stage Clinical Evaluation.P. Mascagni, D. Alapatt, A. Lapergola, A. Vardazaryan, J. Mazellier, B. Dallemagne, D. Mutter, and N. Padoy. CoRR, (2022)Live Laparoscopic Video Retrieval with Compressed Uncertainty.T. Yu, P. Mascagni, J. Verde, J. Marescaux, D. Mutter, and N. Padoy. CoRR, (2022)CholecTriplet2021: A benchmark challenge for surgical action triplet recognition.C. Nwoye, D. Alapatt, T. Yu, A. Vardazaryan, F. Xia, Z. Zhao, T. Xia, F. Jia, Y. Yang, H. Wang and 52 other author(s). Medical Image Anal., (May 2023)Weakly Supervised Convolutional LSTM Approach for Tool Tracking in Laparoscopic Videos.C. Nwoye, D. Mutter, J. Marescaux, and N. Padoy. CoRR, (2018)Virtual Radiofrequency Ablation of Liver Tumors.C. Villard, L. Soler, N. Papier, V. Agnus, S. Thery, A. Gangi, D. Mutter, and J. Marescaux. IS4TH, volume 2673 of Lecture Notes in Computer Science, page 366-374. Springer, (2003)Rendezvous: Attention mechanisms for the recognition of surgical action triplets in endoscopic videos.C. Nwoye, T. Yu, C. Gonzalez, B. Seeliger, P. Mascagni, D. Mutter, J. Marescaux, and N. Padoy. Medical Image Anal., (2022)

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Disambiguation of "Mutter, Didier"

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Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning.

Please choose a person to relate this publication to

Bernd Mütter

Manfred Mutter

Claus Mütter

Andreas Mutter

Wolfgang Mutter

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Mutter, Didier"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning.

Please choose a person to relate this publication to

Bernd Mütter

Manfred Mutter

Claus Mütter

Andreas Mutter

Wolfgang Mutter

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

Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning.