David Bouget

According to our database, David Bouget authored at least 20 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding.

David Bouget, André Pedersen, Johanna Vanel, Håkon Olav Leira, Thomas Langø

Comput. methods Biomech. Biomed. Eng. Imaging Vis., January, 2023

AeroPath: An airway segmentation benchmark dataset with challenging pathology.

Karen-Helene Støverud, David Bouget, André Pedersen, Håkon Olav Leira, Thomas Langø, Erlend Fagertun Hofstad

CoRR, 2023

Raidionics: an open software for pre- and postoperative central nervous system tumor segmentation and standardized reporting.

David Bouget, Demah Alsinan, Valeria Gaitan, Ragnhild Holden Helland, André Pedersen, Ole Solheim, Ingerid Reinertsen

CoRR, 2023

Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks.

Ragnhild Holden Helland, Alexandros Ferles, André Pedersen, Ivar Kommers, Hilko Ardon, Frederik Barkhof, Lorenzo Bello, Mitchel S. Berger, Tora Dunås, Marco Conti Nibali, Julia Furtner, Shawn Hervey-Jumper, Albert J. S. Idema, Barbara Kiesel, Rishi Nandoe Tewarie, Emmanuel Mandonnet, Domenique M. J. Müller, Pierre A. Robe, Marco Rossi, Lisa M. Sagberg, Tommaso Sciortino, Tom Aalders, Michiel Wagemakers, Georg Widhalm, Marnix G. Witte, Aeilko H. Zwinderman, Paulina L. Majewska, Asgeir S. Jakola, Ole Solheim, Philip C. de Witt Hamer, Ingerid Reinertsen, Roelant S. Eijgelaar, David Bouget

CoRR, 2023

2022

Train smarter, not harder: learning deep abdominal CT registration on scarce data.

Javier Pérez de Frutos, André Pedersen, Egidijus Pelanis, David Bouget, Shanmugapriya Survarachakan, Thomas Langø, Ole Jakob Elle, Frank Lindseth

CoRR, 2022

Preoperative brain tumor imaging: models and software for segmentation and standardized reporting.

David Bouget, André Pedersen, Asgeir S. Jakola, Vasileios Kavouridis, Kyrre Eeg Emblem, Roelant S. Eijgelaar, Ivar Kommers, Hilko Ardon, Frederik Barkhof, Lorenzo Bello, Mitchel S. Berger, Marco Conti Nibali, Julia Furtner, Shawn Hervey-Jumper, Albert J. S. Idema, Barbara Kiesel, Alfred Kloet, Emmanuel Mandonnet, Domenique M. J. Müller, Pierre A. Robe, Marco Rossi, Tommaso Sciortino, Wimar Van den Brink, Michiel Wagemakers, Georg Widhalm, Marnix G. Witte, Aeilko H. Zwinderman, Philip C. de Witt Hamer, Ole Solheim, Ingerid Reinertsen

CoRR, 2022

2021

Hybrid guiding: A multi-resolution refinement approach for semantic segmentation of gigapixel histopathological images.

André Pedersen, Erik Smistad, Tor V. Rise, Vibeke G. Dale, Henrik Sahlin Pettersen, Tor-Arne S. Nordmo, David Bouget, Ingerid Reinertsen, Marit Valla

CoRR, 2021

Meningioma segmentation in T1-weighted MRI leveraging global context and attention mechanisms.

David Bouget, André Pedersen, Sayied Abdol Mohieb Hosainey, Ole Solheim, Ingerid Reinertsen

CoRR, 2021

2020

Fast meningioma segmentation in T1-weighted MRI volumes using a lightweight 3D deep learning architecture.

David Bouget, André Pedersen, Sayied Abdol Mohieb Hosainey, Johanna Vanel, Ole Solheim, Ingerid Reinertsen

CoRR, 2020

2019

Semantic segmentation and detection of mediastinal lymph nodes and anatomical structures in CT data for lung cancer staging.

David Bouget, Arve Jørgensen, Gabriel Kiss, Håkon Olav Leira, Thomas Langø

Int. J. Comput. Assist. Radiol. Surg., 2019

2018

A mixed-reality surgical trainer with comprehensive sensing for fetal laser minimally invasive surgery.

Allan Javaux, David Bouget, Caspar Gruijthuijsen, Danail Stoyanov, Tom Vercauteren, Sébastien Ourselin, Jan Deprest, Kathleen Denis, Emmanuel B. Vander Poorten

Int. J. Comput. Assist. Radiol. Surg., 2018

2017

Vision-based and marker-less surgical tool detection and tracking: a review of the literature.

David Bouget, Max Allan, Danail Stoyanov, Pierre Jannin

Medical Image Anal., 2017

Body wall force sensor for simulated minimally invasive surgery: Application to fetal surgery.

Allan Javaux, Laure Esteveny, David Bouget, Caspar Gruijthuijsen, Danail Stoyanov, Tom Vercauteren, Sébastien Ourselin, Dominiek Reynaerts, Kathleen Denis, Jan Deprest, Emmanuel B. Vander Poorten

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016

Unsupervised Trajectory Segmentation for Surgical Gesture Recognition in Robotic Training.

Fabien Despinoy, David Bouget, Germain Forestier, Cédric Penet, Nabil Zemiti, Philippe Poignet, Pierre Jannin

IEEE Trans. Biomed. Eng., 2016

Automatic data-driven real-time segmentation and recognition of surgical workflow.

Olga Dergachyova, David Bouget, Arnaud Huaulmé, Xavier Morandi, Pierre Jannin

Int. J. Comput. Assist. Radiol. Surg., 2016

2015

Detecting Surgical Tools by Modelling Local Appearance and Global Shape.

David Bouget, Rodrigo Benenson, Mohamed Omran, Laurent Riffaud, Bernt Schiele, Pierre Jannin

IEEE Trans. Medical Imaging, 2015

2013

Automatic knowledge-based recognition of low-level tasks in ophthalmological procedures.

Florent Lalys, David Bouget, Laurent Riffaud, Pierre Jannin

Int. J. Comput. Assist. Radiol. Surg., 2013

2012

A Framework for the Recognition of High-Level Surgical Tasks From Video Images for Cataract Surgeries.

Florent Lalys, Laurent Riffaud, David Bouget, Pierre Jannin

IEEE Trans. Biomed. Eng., 2012

Surgical Tools Recognition and Pupil Segmentation for Cataract Surgical Process Modeling.

David Bouget, Florent Lalys, Pierre Jannin

Proceedings of the Medicine Meets Virtual Reality 19 - NextMed, 2012

2011

An Application-Dependent Framework for the Recognition of High-Level Surgical Tasks in the OR.

Florent Lalys, Laurent Riffaud, David Bouget, Pierre Jannin

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011