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ORCIDFlorent Nageotte
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2020 – today
- 2024
[j13]Valentina Scarponi
, Michel Duprez, Florent Nageotte, Stéphane Cotin:
A zero-shot reinforcement learning strategy for autonomous guidewire navigation. Int. J. Comput. Assist. Radiol. Surg. 19(6): 1185-1192 (2024)- [i7]Valentina Scarponi, Michel Duprez, Florent Nageotte, Stéphane Cotin:
A Zero-Shot Reinforcement Learning Strategy for Autonomous Guidewire Navigation. CoRR abs/2403.02777 (2024) - 2023
- [c27]Thibault Poignonec, Florent Nageotte, Bernard Bayle:
A fading memory discontinuous EKF for the online model identification of cable-driven robots with backlash. ACC 2023: 949-954 - [i6]Rongrong Liu, John Mwangi Wandeto, Florent Nageotte, Philippe Zanne, Michel de Mathelin, Birgitta Dresp-Langley:
Spatiotemporal modeling of grip forces captures proficiency in manual robot control. CoRR abs/2303.01995 (2023) - 2022
- [j12]Guiqiu Liao, Oscar Caravaca-Mora, Benoit Rosa, Philippe Zanne, Diego Dall'Alba, Paolo Fiorini, Michel de Mathelin, Florent Nageotte, Michalina J. Gora:
Distortion and instability compensation with deep learning for rotational scanning endoscopic optical coherence tomography. Medical Image Anal. 77: 102355 (2022) - 2021
- [j11]Zhongkai Zhang, Benoit Rosa, Oscar Caravaca-Mora, Philippe Zanne, Michalina J. Gora, Florent Nageotte:
Image-Guided Control of an Endoscopic Robot for OCT Path Scanning. IEEE Robotics Autom. Lett. 6(3): 5881-5888 (2021) - [j10]Zhongkai Zhang, Benoît Rosa, Florent Nageotte:
Surgical Tool Segmentation Using Generative Adversarial Networks With Unpaired Training Data. IEEE Robotics Autom. Lett. 6(4): 6266-6273 (2021) - [j9]Rongrong Liu, Florent Nageotte, Philippe Zanne, Michel de Mathelin, Birgitta Dresp-Langley:
Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review. Robotics 10(1): 22 (2021) - [c26]Thibault Poignonec, Florent Nageotte, Nabil Zemiti, Bernard Bayle:
Simultaneous haptic guidance and learning of task parameters during robotic teleoperation - a geometrical approach. ICRA 2021: 3619-3625 - [i5]Rongrong Liu, Florent Nageotte, Philippe Zanne, Michel de Mathelin, Birgitta Dresp-Langley:
Wearable Sensors for Spatio-Temporal Grip Force Profiling. CoRR abs/2101.06479 (2021) - [i4]Rongrong Liu, Florent Nageotte, Philippe Zanne, Michel de Mathelin, Birgitta Dresp-Langley:
Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review. CoRR abs/2102.04148 (2021) - 2020
- [j8]Thibault Poignonec, Philippe Zanne, Benoît Rosa, Florent Nageotte:
Towards In Situ Backlash Estimation of Continuum Robots Using an Endoscopic Camera. IEEE Robotics Autom. Lett. 5(3): 4788-4795 (2020) - [c25]Gaëlle Thomas, Laurent Barbé, Benoît Larrat, Pauline Agou, Jonathan Vappou, Florent Nageotte:
Planning Framework for Robot-assisted Blood-Brain Barrier Opening with Focused Ultrasound. EMBC 2020: 5033-5036 - [i3]Michel de Mathelin, Florent Nageotte, Philippe Zanne, Birgitta Dresp-Langley:
Sensors for expert grip force profiling: towards benchmarking manual control of a robotic device for surgical tool movements. CoRR abs/2011.06449 (2020) - [i2]Birgitta Dresp-Langley, Florent Nageotte, Philippe Zanne, Michel de Mathelin:
Correlating grip force signals from multiple sensors highlights prehensile control strategies in a complex task-user system. CoRR abs/2011.06452 (2020)
2010 – 2019
- 2019
- [j7]Benoît Rosa, Valentin Bordoux, Florent Nageotte:
Combining Differential Kinematics and Optical Flow for Automatic Labeling of Continuum Robots in Minimally Invasive Surgery. Frontiers Robotics AI 6: 86 (2019) - [j6]Michel de Mathelin, Florent Nageotte, Philippe Zanne, Birgitta Dresp-Langley:
Sensors for Expert Grip Force Profiling: Towards Benchmarking Manual Control of a Robotic Device for Surgical Tool Movements. Sensors 19(20): 4575 (2019) - [c24]Rafael Aleluia Porto, Florent Nageotte, Philippe Zanne, Michel de Mathelin:
Position control of medical cable-driven flexible instruments by combining machine learning and kinematic analysis. ICRA 2019: 7913-7919 - [i1]Paolo Cabras, Florent Nageotte, Philippe Zanne, Christophe Doignon:
An adaptive and fully automatic method for estimating the 3D position of bendable instruments using endoscopic images. CoRR abs/1911.13125 (2019) - 2018
- [j5]Lucile Zorn, Florent Nageotte, Philippe Zanne, Andras Legner, Bernard Dallemagne, Jacques Marescaux, Michel de Mathelin:
A Novel Telemanipulated Robotic Assistant for Surgical Endoscopy: Preclinical Application to ESD. IEEE Trans. Biomed. Eng. 65(4): 797-808 (2018) - 2016
- [c23]Olivier Piccin, J. Sieffert, François Schmitt, Laurent Barbé, Laurence Meylheuc, Florent Nageotte, Bernard Bayle:
Design and characterization of a novel needle insertion tool. BioRob 2016: 266-271 - 2015
- [c22]Laure-Anais Chanel, Florent Nageotte, Jonathan Vappou, Jianwen Luo, Loïc Cuvillon, Michel de Mathelin:
Robotized High Intensity Focused Ultrasound (HIFU) system for treatment of mobile organs using motion tracking by ultrasound imaging: An in vitro study. EMBC 2015: 2571-2575 - [c21]Florent Nageotte, Riad Khelifi, Bernard Bayle:
A novel marker for estimating the pose of a CT-guided robotic device using a single slice. ICRA 2015: 4748-4754 - 2014
- [c20]Paolo Cabras, David Goyard, Florent Nageotte, Philippe Zanne, Christophe Doignon:
Comparison of methods for estimating the position of actuated instruments in flexible endoscopic surgery. IROS 2014: 3522-3528 - 2013
- [c19]Antonio De Donno, Lucile Zorn, Philippe Zanne, Florent Nageotte, Michel de Mathelin:
Introducing STRAS: A new flexible robotic system for minimally invasive surgery. ICRA 2013: 1213-1220 - [c18]Antonio De Donno, Florent Nageotte, Philippe Zanne, Lucile Zorn, Michel de Mathelin:
Master/slave control of flexible instruments for minimally invasive surgery. IROS 2013: 483-489 - [c17]Antonio De Donno, Florent Nageotte, Philippe Zanne, Laurent Goffin, Michel de Mathelin:
Using Simulation to Design Control Strategies for Robotic No-Scar Surgery. MMVR 2013: 117-121 - 2012
- [c16]Berengere Bardou, Florent Nageotte, Philippe Zanne, Michel de Mathelin:
Improvements in the control of a flexible endoscopic system. ICRA 2012: 3725-3732 - [c15]Antonio De Donno, Florent Nageotte, Philippe Zanne, Laurent Goffin, Michel de Mathelin:
A Simulator for Designing Control Schemes for a Teleoperated Flexible Robotic System. AE-CAI 2012: 90-104 - 2011
- [j4]Laurent Ott, Florent Nageotte, Philippe Zanne, Michel de Mathelin:
Robotic Assistance to Flexible Endoscopy by Physiological-Motion Tracking. IEEE Trans. Robotics 27(2): 346-359 (2011) - [c14]Norbert Masson, Philippe Zanne, Florent Nageotte, Michel de Mathelin:
Segmentation of in vivo target prior to tracking. Medical Imaging: Image Processing 2011: 79622Y - 2010
- [c13]Berengere Bardou, Philippe Zanne, Florent Nageotte, Michel de Mathelin:
Control of a multiple sections flexible endoscopic system. IROS 2010: 2345-2350
2000 – 2009
- 2009
- [j3]Florent Nageotte, Philippe Zanne, Christophe Doignon, Michel de Mathelin:
Stitching Planning in Laparoscopic Surgery: Towards Robot-assisted Suturing. Int. J. Robotics Res. 28(10): 1303-1321 (2009) - [j2]Laurent Ott, Florent Nageotte, Philippe Zanne, Michel de Mathelin:
Simultaneous Physiological Motion Cancellation and Depth Adaptation in Flexible Endoscopy. IEEE Trans. Biomed. Eng. 56(9): 2322-2326 (2009) - [c12]Laurent Ott, Florent Nageotte, Philippe Zanne, Gabriela Iuliana Bara, Michel de Mathelin:
A new switching repetitive controller for periodic and transient non periodic disturbances rejection. ECC 2009: 1535-1540 - [c11]Florent Nageotte, Laurent Ott, Philippe Zanne, Michel de Mathelin:
Analysis and improvement of image-based insertion point estimation for robot-assisted minimally invasive surgery. ICRA 2009: 3470-3475 - [c10]Laurent Ott, Florent Nageotte, Philippe Zanne, Michel de Mathelin:
Physiological motion rejection in flexible endoscopy using visual servoing and repetitive control : Improvements on non-periodic reference tracking and non-periodic disturbance rejection. ICRA 2009: 4233-4238 - [c9]Norbert Masson, Florent Nageotte, Philippe Zanne, Michel de Mathelin:
In Vivo Comparison of Real-Time Tracking Algorithms for Interventional Flexible Endoscopy. ISBI 2009: 1350-1353 - 2008
- [c8]Laurent Ott, Philippe Zanne, Florent Nageotte, Michel de Mathelin, Jacques Gangloff:
Physiological motion rejection in flexible endoscopy using visual servoing. ICRA 2008: 2928-2933 - 2006
- [c7]Christophe Doignon, Florent Nageotte, Michel de Mathelin:
Segmentation and Guidance of Multiple Rigid Objects for Intra-operative Endoscopic Vision. WDV 2006: 314-327 - [c6]Florent Nageotte, Philippe Zanne, Christophe Doignon, Michel de Mathelin:
Visual Servoing-Based Endoscopic Path Following for Robot-Assisted Laparoscopic Surgery. IROS 2006: 2364-2369 - [c5]Christophe Doignon, Florent Nageotte, Michel de Mathelin:
The Role of Insertion Points in the Detection and Positioning of Instruments in Laparoscopy for Robotic Tasks. MICCAI (1) 2006: 527-534 - 2005
- [c4]Florent Nageotte, Philippe Zanne, Michel de Mathelin, Christophe Doignon:
A Circular Needle Path Planning Method for Suturing in Laparoscopic Surgery. ICRA 2005: 514-519 - [c3]Florent Nageotte, Christophe Doignon, Michel de Mathelin, Philippe Zanne, Luc Soler:
Circular needle and needle-holder localization for computer-aided suturing in laparoscopic surgery. Medical Imaging: Image-Guided Procedures 2005 - 2004
- [c2]Florent Nageotte, Michel de Mathelin, Christophe Doignon, Luc Soler, Joël Leroy, Jacques Marescaux:
Computer-aided suturing in laparoscopic surgery. CARS 2004: 781-786 - [c1]Christophe Doignon, Florent Nageotte, Michel de Mathelin:
Detection of grey regions in color images : application to the segmentation of a surgical instrument in robotized laparoscopy. IROS 2004: 3394-3399 - 2002
- [j1]Paul E. Rybski, Sascha Stoeter, Nikolaos P. Papanikolopoulos, Ian T. Burt, Tom Dahlin, Maria L. Gini, Dean F. Hougen, Donald G. Krantz, Florent Nageotte:
Sharing control [multiple miniature robots]. IEEE Robotics Autom. Mag. 9(4): 41-48 (2002)
Coauthor Index
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last updated on 2024-10-01 21:37 CEST by the dblp team
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