An Application-Dependent Framework for the Recognition of High-Level Surgical Tasks in the OR. - Florent Lalys; Laurent Riffaud; David Bouget; Pierre Jannin (MICCAI (1), 2011)

Surgical Tools Recognition and Pupil Segmentation for Cataract Surgical Process Modeling. - David Bouget; Florent Lalys; Pierre Jannin (MMVR, 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)

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)

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)

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)

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)

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 (IROS, 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)

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)

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)

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)

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)

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)

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; et al. (CoRR, 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)

The AGU-Net Architecture for Brain Tumor Segmentation: BraTS Challenges 2023. - David Bouget; André Pedersen; Ole Solheim; Ingerid Reinertsen (BraTS/CrossMoDA@MICCAI, 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; et al. (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)

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)

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., 2023)

Glioblastoma Segmentation from Early Post-operative MRI: Challenges and Clinical Impact. - Ragnhild Holden Helland; David Bouget; Roelant S. Eijgelaar; Philip C. de Witt Hamer; Frederik Barkhof; Ole Solheim; Ingerid Reinertsen (MICCAI (6), 2024)

Automatic and standardized surgical reporting for central nervous system tumors. - David Bouget; Mathilde Faanes; Asgeir Store Jakola; Frederik Barkhof; Hilko Ardon; Lorenzo Bello; Mitchel S. Berger; Shawn Hervey-Jumper; Julia Furtner; Albert J. S. Idema; Barbara Kiesel; Georg Widhalm; et al. (CoRR, 2025)