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ORCIDNicolas Padoy
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2020 – today
- 2021
[j18]Abdolrahim Kadkhodamohammadi
, Nicolas Padoy:
A generalizable approach for multi-view 3D human pose regression. Mach. Vis. Appl. 32(1): 6 (2021)- [j17]Luca Sestini, Benoit Rosa, Elena De Momi, Giancarlo Ferrigno, Nicolas Padoy:
A Kinematic Bottleneck Approach for Pose Regression of Flexible Surgical Instruments Directly From Images. IEEE Robotics Autom. Lett. 6(2): 2938-2945 (2021) - [i26]Sanat Ramesh, Diego Dall'Alba, Cristians Gonzalez, Tong Yu, Pietro Mascagni, Didier Mutter, Jacques Marescaux, Paolo Fiorini, Nicolas Padoy:
Multi-Task Temporal Convolutional Networks for Joint Recognition of Surgical Phases and Steps in Gastric Bypass Procedures. CoRR abs/2102.12218 (2021) - [i25]Luca Sestini, Benoit Rosa, Elena De Momi, Giancarlo Ferrigno, Nicolas Padoy:
A Kinematic Bottleneck Approach For Pose Regression of Flexible Surgical Instruments directly from Images. CoRR abs/2103.00586 (2021) - 2020
- [j16]Tom Vercauteren, Mathias Unberath, Nicolas Padoy, Nassir Navab:
CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer-Assisted Interventions. Proc. IEEE 108(1): 198-214 (2020) - [j15]Siddharth Kannan, Gaurav Yengera, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Future-State Predicting LSTM for Early Surgery Type Recognition. IEEE Trans. Medical Imaging 39(3): 556-566 (2020) - [c28]Tong Yu, Nicolas Padoy:
Encode the Unseen: Predictive Video Hashing for Scalable Mid-stream Retrieval. ACCV (5) 2020: 427-442 - [c27]Chinedu Innocent Nwoye, Cristians Gonzalez, Tong Yu, Pietro Mascagni, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets. MICCAI (3) 2020: 364-374 - [c26]Vinkle Srivastav, Afshin Gangi, Nicolas Padoy:
Self-supervision on Unlabelled or Data for Multi-person 2D/3D Human Pose Estimation. MICCAI (1) 2020: 761-771 - [i24]Chinedu Innocent Nwoye, Cristians Gonzalez, Tong Yu, Pietro Mascagni, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets. CoRR abs/2007.05405 (2020) - [i23]Vinkle Srivastav, Afshin Gangi, Nicolas Padoy:
Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images. CoRR abs/2007.08340 (2020) - [i22]Vinkle Srivastav, Afshin Gangi, Nicolas Padoy:
Self-supervision on Unlabelled OR Data for Multi-person 2D/3D Human Pose Estimation. CoRR abs/2007.08354 (2020) - [i21]Deepak Alapatt, Pietro Mascagni, Vinkle Srivastav, Nicolas Padoy:
Artificial Intelligence in Surgery: Neural Networks and Deep Learning. CoRR abs/2009.13411 (2020) - [i20]Tong Yu, Nicolas Padoy:
Encode the Unseen: Predictive Video Hashing for Scalable Mid-Stream Retrieval. CoRR abs/2009.14661 (2020) - [i19]Lena Maier-Hein, Matthias Eisenmann, Duygu Sarikaya, Keno März, Toby Collins, Anand Malpani, Johannes Fallert, Hubertus Feussner, Stamatia Giannarou, Pietro Mascagni, Hirenkumar Nakawala, Adrian Park, Carla M. Pugh, Danail Stoyanov, S. Swaroop Vedula, Beat Peter Müller-Stich, Kevin Cleary, Gabor Fichtinger, Germain Forestier, Bernard Gibaud, Teodor P. Grantcharov, Makoto Hashizume, Hannes Kenngott, Ron Kikinis, Lars Mündermann, Nassir Navab, Sinan Onogur, Raphael Sznitman, Russell H. Taylor, Minu Dietlinde Tizabi, Martin Wagner, Gregory D. Hager, Thomas Neumuth, Nicolas Padoy, Pierre Jannin, Stefanie Speidel:
Surgical Data Science - from Concepts to Clinical Translation. CoRR abs/2011.02284 (2020)
2010 – 2019
- 2019
- [j14]Thibaut Issenhuth, Vinkle Srivastav, Afshin Gangi, Nicolas Padoy:
Face detection in the operating room: comparison of state-of-the-art methods and a self-supervised approach. Int. J. Comput. Assist. Radiol. Surg. 14(6): 1049-1058 (2019) - [j13]Chinedu Innocent Nwoye, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Weakly supervised convolutional LSTM approach for tool tracking in laparoscopic videos. Int. J. Comput. Assist. Radiol. Surg. 14(6): 1059-1067 (2019) - [j12]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) - [c25]Cristian da Costa Rocha, Nicolas Padoy, Benoit Rosa:
Self-Supervised Surgical Tool Segmentation using Kinematic Information. ICRA 2019: 8720-8726 - [c24]Vinkle Srivastav, Afshin Gangi, Nicolas Padoy:
Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images. MICCAI (5) 2019: 583-591 - [i18]Cristian da Costa Rocha, Nicolas Padoy, Benoit Rosa:
Self-Supervised Surgical Tool Segmentation using Kinematic Information. CoRR abs/1902.04810 (2019) - [i17]Tom Vercauteren, Mathias Unberath, Nicolas Padoy, Nassir Navab:
CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer Assisted Interventions. CoRR abs/1910.09031 (2019) - 2018
- [c23]Armine Vardazaryan, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos. CVII-STENT/LABELS@MICCAI 2018: 169-179 - [i16]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) - [i15]Abdolrahim Kadkhodamohammadi, Nicolas Padoy:
A generalizable approach for multi-view 3D human pose regression. CoRR abs/1804.10462 (2018) - [i14]Gaurav Yengera, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Less is More: Surgical Phase Recognition with Less Annotations through Self-Supervised Pre-training of CNN-LSTM Networks. CoRR abs/1805.08569 (2018) - [i13]Lena Maier-Hein, Matthias Eisenmann, Carolin Feldmann, Hubertus Feussner, Germain Forestier, Stamatia Giannarou, Bernard Gibaud, Gregory D. Hager, Makoto Hashizume, Darko Katic, Hannes Kenngott, Ron Kikinis, Michael Kranzfelder, Anand Malpani, Keno März, Beat P. Müller-Stich, Nassir Navab, Thomas Neumuth, Nicolas Padoy, Adrian Park, Carla M. Pugh, Nicolai Schoch, Danail Stoyanov, Russell H. Taylor, Martin Wagner, S. Swaroop Vedula, Pierre Jannin, Stefanie Speidel:
Surgical Data Science: A Consensus Perspective. CoRR abs/1806.03184 (2018) - [i12]Armine Vardazaryan, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos. CoRR abs/1806.05573 (2018) - [i11]Vinkle Srivastav, Thibaut Issenhuth, Abdolrahim Kadkhodamohammadi, Michel de Mathelin, Afshin Gangi, Nicolas Padoy:
MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose Estimation. CoRR abs/1808.08180 (2018) - [i10]Siddharth Kannan, Gaurav Yengera, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Future-State Predicting LSTM for Early Surgery Type Recognition. CoRR abs/1811.11727 (2018) - [i9]Thibaut Issenhuth, Vinkle Srivastav, Afshin Gangi, Nicolas Padoy:
Face Detection in the Operating Room: Comparison of State-of-the-art Methods and a Self-supervised Approach. CoRR abs/1811.12296 (2018) - [i8]Tong Yu, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Learning from a tiny dataset of manual annotations: a teacher/student approach for surgical phase recognition. CoRR abs/1812.00033 (2018) - [i7]Chinedu Innocent Nwoye, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Weakly Supervised Convolutional LSTM Approach for Tool Tracking in Laparoscopic Videos. CoRR abs/1812.01366 (2018) - 2017
- [j11]Abdolrahim Kadkhodamohammadi, Afshin Gangi, Michel de Mathelin, Nicolas Padoy:
Articulated clinician detection using 3D pictorial structures on RGB-D data. Medical Image Anal. 35: 215-224 (2017) - [j10]Nicolas Loy Rodas, Fernando Barrera, Nicolas Padoy:
See It With Your Own Eyes: Markerless Mobile Augmented Reality for Radiation Awareness in the Hybrid Room. IEEE Trans. Biomed. Eng. 64(2): 429-440 (2017) - [j9]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) - [c22]Nicolas Loy Rodas, Julien Bert, Dimitris Visvikis, Michel de Mathelin, Nicolas Padoy:
Pose optimization of a C-arm imaging device to reduce intraoperative radiation exposure of staff and patient during interventional procedures. ICRA 2017: 4200-4207 - [c21]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 - [c20]Abdolrahim Kadkhodamohammadi, Afshin Gangi, Michel de Mathelin, Nicolas Padoy:
A Multi-view RGB-D Approach for Human Pose Estimation in Operating Rooms. WACV 2017: 363-372 - [i6]Lena Maier-Hein, S. Swaroop Vedula, Stefanie Speidel, Nassir Navab, Ron Kikinis, Adrian Park, Matthias Eisenmann, Hubertus Feussner, Germain Forestier, Stamatia Giannarou, Makoto Hashizume, Darko Katic, Hannes Kenngott, Michael Kranzfelder, Anand Malpani, Keno März, Thomas Neumuth, Nicolas Padoy, Carla M. Pugh, Nicolai Schoch, Danail Stoyanov, Russell H. Taylor, Martin Wagner, Gregory D. Hager, Pierre Jannin:
Surgical Data Science: Enabling Next-Generation Surgery. CoRR abs/1701.06482 (2017) - [i5]Abdolrahim Kadkhodamohammadi, Afshin Gangi, Michel de Mathelin, Nicolas Padoy:
A Multi-view RGB-D Approach for Human Pose Estimation in Operating Rooms. CoRR abs/1701.07372 (2017) - 2016
- [i4]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) - [i3]Abdolrahim Kadkhodamohammadi, Afshin Gangi, Michel de Mathelin, Nicolas Padoy:
3D Pictorial Structures on RGB-D Data for Articulated Human Detection in Operating Rooms. CoRR abs/1602.03468 (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) - 2015
- [j8]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) - [j7]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) - [j6]Nicolas Loy Rodas, Nicolas Padoy:
Seeing is believing: increasing intraoperative awareness to scattered radiation in interventional procedures by combining augmented reality, Monte Carlo simulations and wireless dosimeters. Int. J. Comput. Assist. Radiol. Surg. 10(8): 1181-1191 (2015) - [j5]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) - [c19]Abdolrahim Kadkhodamohammadi, Afshin Gangi, Michel de Mathelin, Nicolas Padoy:
Pictorial Structures on RGB-D Images for Human Pose Estimation in the Operating Room. MICCAI (1) 2015: 363-370 - [c18]Nicolas Loy Rodas, Fernando Barrera, Nicolas Padoy:
Marker-Less AR in the Hybrid Room Using Equipment Detection for Camera Relocalization. MICCAI (1) 2015: 463-470 - 2014
- [c17]Fernando Barrera, Nicolas Padoy:
Piecewise Planar Decomposition of 3D Point Clouds Obtained from Multiple Static RGB-D Cameras. 3DV 2014: 194-201 - [c16]Abdolrahim Kadkhodamohammadi, Afshin Gangi, Michel de Mathelin, Nicolas Padoy:
Temporally Consistent 3D Pose Estimation in the Interventional Room Using Discrete MRF Optimization over RGBD Sequences. IPCAI 2014: 168-177 - [c15]Andru Putra Twinanda, Jacques Marescaux, Michel de Mathelin, Nicolas Padoy:
Towards Better Laparoscopic Video Database Organization by Automatic Surgery Classification. IPCAI 2014: 186-195 - [c14]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 - [c13]Nicolas Loy Rodas, Nicolas Padoy:
3D Global Estimation and Augmented Reality Visualization of Intra-operative X-ray Dose. MICCAI (1) 2014: 415-422 - 2012
- [j4]Nicolas Padoy, Tobias Blum, Seyed-Ahmad Ahmadi, Hubertus Feußner, Marie-Odile Berger, Nassir Navab:
Statistical modeling and recognition of surgical workflow. Medical Image Anal. 16(3): 632-641 (2012) - [c12]Sebastian Bodenstedt, Nicolas Padoy, Gregory D. Hager:
Learned Partial Automation for Shared Control in Tele-Robotic Manipulation. AAAI Fall Symposium: Robots Learning Interactively from Human Teachers 2012 - [c11]Nicolas Padoy, Gregory D. Hager:
Deformable Tracking of Textured Curvilinear Objects. BMVC 2012: 1-11 - 2011
- [c10]Nicolas Padoy, Gregory D. Hager:
Human-Machine Collaborative surgery using learned models. ICRA 2011: 5285-5292 - [c9]Nicolas Padoy, Gregory D. Hager:
3D thread tracking for robotic assistance in tele-surgery. IROS 2011: 2102-2107 - [c8]Nicolas Padoy, Gregory D. Hager:
Spatio-Temporal Registration of Multiple Trajectories. MICCAI (1) 2011: 145-152 - 2010
- [b1]Nicolas Padoy:
Workflow and Activity Modeling for Monitoring Surgical Procedures. (Modélisation des Activités Chirurgicales et de leur Déroulement pour la Reconnaissance des Etapes Opératoires). Henri Poincaré University, Nancy, France, 2010
2000 – 2009
- 2009
- [c7]Olivier Pauly, Nicolas Padoy, Holger Poppert, Lorena Esposito, Nassir Navab:
Wavelet energy map: A robust support for multi-modal registration of medical images. CVPR 2009: 2184-2191 - [c6]Nicolas Padoy, Diana Mateus, Daniel Weinland, Marie-Odile Berger, Nassir Navab:
Workflow monitoring based on 3D motion features. ICCV Workshops 2009: 585-592 - 2008
- [j3]Ulrich Klank, Nicolas Padoy, Hubertus Feußner, Nassir Navab:
Automatic feature generation in endoscopic images. Int. J. Comput. Assist. Radiol. Surg. 3(3-4): 331-339 (2008) - [j2]Tobias Blum, Nicolas Padoy, Hubertus Feußner, Nassir Navab:
Workflow mining for visualization and analysis of surgeries. Int. J. Comput. Assist. Radiol. Surg. 3(5): 379-386 (2008) - [c5]Nicolas Padoy, Tobias Blum, Hubertus Feußner, Marie-Odile Berger, Nassir Navab:
On-line Recognition of Surgical Activity for Monitoring in the Operating Room. AAAI 2008: 1718-1724 - [c4]Tobias Blum, Nicolas Padoy, Hubertus Feußner, Nassir Navab:
Modeling and Online Recognition of Surgical Phases Using Hidden Markov Models. MICCAI (2) 2008: 627-635 - 2007
- [c3]Nicolas Padoy, Tobias Blum, Irfan A. Essa, Hubertus Feußner, Marie-Odile Berger, Nassir Navab:
A Boosted Segmentation Method for Surgical Workflow Analysis. MICCAI (1) 2007: 102-109 - 2006
- [j1]Johanne Cohen, Emmanuel Jeannot, Nicolas Padoy, Frédéric Wagner:
Messages Scheduling for Parallel Data Redistribution between Clusters. IEEE Trans. Parallel Distributed Syst. 17(10): 1163-1175 (2006) - [c2]Martin Groher, Nicolas Padoy, Tobias F. Jakobs, Nassir Navab:
New CTA Protocol and 2D-3D Registration Method for Liver Catheterization. MICCAI (1) 2006: 873-881 - 2003
- [c1]Johanne Cohen, Emmanuel Jeannot, Nicolas Padoy:
Messages Scheduling for Data Redistribution between Clusters. PPAM 2003: 896-906
Coauthor Index
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