Main information about the thesis :
Thesis start : September 2013
Thesis defense date: : 27/01/2017
Title : Vision-based approaches for surgical activity recognition using laparoscopic and RGBD videos
Associated laboratory: ICUBE, Strasbourg
In collaboration with LTSI, Rennes
Co-funded by the labex CAMI and the IHU Strasbourg
The thesis manuscript is downloadable here
PhD main scientific communications :
International scientific papers
- A. Twinanda, S. Shehata, D. Mutter, J. Marescaux, M. de Mathelin, N. Padoy. EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos, IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers (IEEE), pp. 86-97, 2017.
- A. Twinanda, E. Alkan, A. Gangi, M. de Mathelin, N. Padoy. Data-driven spatio-temporal RGBD feature encoding for action recognition in operating rooms, International Journal of Computer Assisted Radiology and Surgery, Springer-Verlag, Vol. 10(6):737-747, juin 2015.
- A. Twinanda, J. Marescaux, M. de Mathelin, N. Padoy. Classification approach for automatic laparoscopic video database organization, International Journal of Computer Assisted Radiology and Surgery, Springer-Verlag, Vol. 10(9):1449-1460, 2015.
International conference proceedings
- I. Aksamentov, A. Twinanda, D. Mutter, J. Marescaux, N. Padoy. Deep Neural Networks Predict Remaining Surgery Duration from Cholecystectomy Videos, dans International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Quebec, Canada, janvier 2017.
- A. Twinanda, M. de Mathelin, N. Padoy. Fisher Kernel Based Task Boundary Retrieval in Laparoscopic Database with Single Video Query, dans International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Lecture Notes in Computer Science, Vol. 8675:409-416, Boston, United States, septembre 2014.
- A. Twinanda, J. Marescaux, M. de Mathelin, N. Padoy. Towards Better Laparoscopic Video Database Organization by Automatic Surgery Classification, dans International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), Lecture Notes in Computer Science, Vol. 8498:186-195, Fukuoka, Japan, juin 2014.
Thesis poster: