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Books and Theses
- 2017
[b1]Andru Putra Twinanda:
Vision-based approaches for surgical activity recognition using laparoscopic and RBGD videos. (Approches basées vision pour la reconnaissance d'activités chirurgicales à partir de vidéos laparoscopiques et multi-vues RGBD). University of Strasbourg, France, 2017
Journal Articles
- 2024
- [j6]Hafidz R. Firmansyah, Prasanti Widyasih Sarli
, Andru Putra Twinanda, Devin Santoso, Iswandi Imran:
Building typology classification using convolutional neural networks utilizing multiple ground-level image process for city-scale rapid seismic vulnerability assessment. Eng. Appl. Artif. Intell. 131: 107824 (2024) - 2019
- [j5]Andru Putra Twinanda, Gaurav Yengera, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations. IEEE Trans. Medical Imaging 38(4): 1069-1078 (2019) - 2017
- [j4]Andru Putra Twinanda, Sherif Shehata, Didier Mutter, Jacques Marescaux, Michel de Mathelin, Nicolas Padoy:
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos. IEEE Trans. Medical Imaging 36(1): 86-97 (2017) - 2015
- [j3]Andru Putra Twinanda, Emre O. Alkan, Afshin Gangi, Michel de Mathelin, Nicolas Padoy:
Data-driven spatio-temporal RGBD feature encoding for action recognition in operating rooms. Int. J. Comput. Assist. Radiol. Surg. 10(6): 737-747 (2015) - [j2]Andru Putra Twinanda, Emre O. Alkan, Afshin Gangi, Michel de Mathelin, Nicolas Padoy:
Erratum to: Data-driven spatio-temporal RGBD feature encoding for action recognition in operating rooms. Int. J. Comput. Assist. Radiol. Surg. 10(7): 1177 (2015) - [j1]Andru Putra Twinanda, Jacques Marescaux, Michel de Mathelin, Nicolas Padoy:
Classification approach for automatic laparoscopic video database organization. Int. J. Comput. Assist. Radiol. Surg. 10(9): 1449-1460 (2015)
Conference and Workshop Papers
- 2017
- [c3]Ivan Aksamentov, Andru Putra Twinanda, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Deep Neural Networks Predict Remaining Surgery Duration from Cholecystectomy Videos. MICCAI (2) 2017: 586-593 - 2014
- [c2]Andru Putra Twinanda, Jacques Marescaux, Michel de Mathelin, Nicolas Padoy:
Towards Better Laparoscopic Video Database Organization by Automatic Surgery Classification. IPCAI 2014: 186-195 - [c1]Andru Putra Twinanda, Michel de Mathelin, Nicolas Padoy:
Fisher Kernel Based Task Boundary Retrieval in Laparoscopic Database with Single Video Query. MICCAI (3) 2014: 409-416
Informal and Other Publications
- 2018
- [i4]Andru Putra Twinanda, Gaurav Yengera, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations. CoRR abs/1802.03243 (2018) - 2016
- [i3]Andru Putra Twinanda, Sherif Shehata, Didier Mutter, Jacques Marescaux, Michel de Mathelin, Nicolas Padoy:
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos. CoRR abs/1602.03012 (2016) - [i2]Andru Putra Twinanda, Didier Mutter, Jacques Marescaux, Michel de Mathelin, Nicolas Padoy:
Single- and Multi-Task Architectures for Surgical Workflow Challenge at M2CAI 2016. CoRR abs/1610.08844 (2016) - [i1]Andru Putra Twinanda, Didier Mutter, Jacques Marescaux, Michel de Mathelin, Nicolas Padoy:
Single- and Multi-Task Architectures for Tool Presence Detection Challenge at M2CAI 2016. CoRR abs/1610.08851 (2016)
Coauthor Index
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