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RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations.

A. Twinanda, G. Yengera, D. Mutter, J. Marescaux, and N. Padoy. IEEE Trans. Med. Imaging, 38 (4): 1069-1078 (2019)

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Jacques Rakotondranary

Jacques Minlo

Jacques Clees

Jacques Blanc

Jacques Sommer

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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)A Hierarchical Topological Knowledge Based Image Segmentation Approach Optimizing the use of Contextual Regions of Interest : Illustration for Medical Image Analysis.J. Fasquel, V. Agnus, L. Soler, and J. Marescaux. ICIP, page 777-780. IEEE, (2006)Autonomous 3-D positioning of surgical instruments in robotized laparoscopic surgery using visual servoing.A. Krupa, J. Gangloff, C. Doignon, M. de Mathelin, G. Morel, J. Leroy, L. Soler, and J. Marescaux. IEEE Trans. Robotics Autom., 19 (5): 842-853 (2003)Challenges in Multi-centric Generalization: Phase and Step Recognition in Roux-en-Y Gastric Bypass Surgery.J. Lavanchy, S. Ramesh, D. Dall'Alba, C. Gonzalez, P. Fiorini, B. Müller-Stich, P. Nett, J. Marescaux, D. Mutter, and N. Padoy. CoRR, (2023)Automatic task recognition in a flexible endoscopy benchtop trainer with semi-supervised learning.V. Bencteux, G. Saibro, E. Shlomovitz, P. Mascagni, S. Perretta, A. Hostettler, J. Marescaux, and T. Collins. Int. J. Comput. Assist. Radiol. Surg., 15 (9): 1585-1595 (2020)Weakly Supervised Temporal Convolutional Networks for Fine-grained Surgical Activity Recognition.S. Ramesh, D. Dall'Alba, C. Gonzalez, T. Yu, P. Mascagni, D. Mutter, J. Marescaux, P. Fiorini, and N. Padoy. CoRR, (2023)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)Weakly Supervised Convolutional LSTM Approach for Tool Tracking in Laparoscopic Videos.C. Nwoye, D. Mutter, J. Marescaux, and N. Padoy. CoRR, (2018)Model predictive control for tracking of repetitive organ motions during teleoperated laparoscopic interventions.R. Ginhoux, J. Gangloff, M. de Mathelin, L. Soler, J. Leroy, and J. Marescaux. ECC, page 2481-2486. IEEE, (2003)A computed stereoscopic method for laparoscopic surgery by using feature tracking.P. Lee, S. Yan, M. Hu, J. Marescaux, H. Wu, K. Liu, A. Kumar, and M. Wang. ICCE-TW, page 9-10. IEEE, (2015)

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Disambiguation of "Marescaux, Jacques"

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RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations.

Please choose a person to relate this publication to

Jacques Rakotondranary

Jacques Minlo

Jacques Clees

Jacques Blanc

Jacques Sommer

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Marescaux, Jacques"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations.

Please choose a person to relate this publication to

Jacques Rakotondranary

Jacques Minlo

Jacques Clees

Jacques Blanc

Jacques Sommer

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
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APA
Chicago
DIN 1505
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RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations.