David Bouget - RankMe

26 papers A 1Journal 21Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Assessing Impact of Data Quality in Early Post-Operative Glioblastoma Segmentation. J. Imaging Ragnhild Holden Helland, David Bouget, Asgeir Store Jakola, Sébastien Muller, Ole Solheim, Ingerid Reinertsen
2025	J	`jnl`	A unified FLAIR hyperintensity segmentation model for various CNS tumor types and acquisition time points. CoRR Mathilde Faanes, David Bouget, Asgeir S. Jakola, Timothy R. Smith, Vasileios Kavouridis, Francesco Latini, Margret Jensdottir, Peter Milos, Henrietta Nittby Redebrandt, Rickard L. Sjöberg, Rupavathana Mahesparan, Lars Kjelsberg Pedersen, Ole Solheim, Ingerid Reinertsen
2025	J	`jnl`	Automatic and standardized surgical reporting for central nervous system tumors. CoRR 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, Rishi Nandoe Tewarie, Emmanuel Mandonnet, Pierre A. Robe, Michiel Wagemakers, Timothy R. Smith, Philip C. de Witt Hamer, Ole Solheim, Ingerid Reinertsen
2024	—	`conf`	Glioblastoma Segmentation from Early Post-operative MRI: Challenges and Clinical Impact. MICCAI (6) Ragnhild Holden Helland, David Bouget, Roelant S. Eijgelaar, Philip C. de Witt Hamer, Frederik Barkhof, Ole Solheim, Ingerid Reinertsen
2023	J	`jnl`	AeroPath: An airway segmentation benchmark dataset with challenging pathology. CoRR Karen-Helene Støverud, David Bouget, André Pedersen, Håkon Olav Leira, Thomas Langø, Erlend Fagertun Hofstad
2023	J	`jnl`	Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding. Comput. methods Biomech. Biomed. Eng. Imaging Vis. David Bouget, André Pedersen, Johanna Vanel, Håkon Olav Leira, Thomas Langø
2023	J	`jnl`	Raidionics: an open software for pre- and postoperative central nervous system tumor segmentation and standardized reporting. CoRR David Bouget, Demah Alsinan, Valeria Gaitan, Ragnhild Holden Helland, André Pedersen, Ole Solheim, Ingerid Reinertsen
2023	J	`jnl`	Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks. CoRR 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
2023	—	`conf`	The AGU-Net Architecture for Brain Tumor Segmentation: BraTS Challenges 2023. BraTS/CrossMoDA@MICCAI David Bouget, André Pedersen, Ole Solheim, Ingerid Reinertsen
2022	J	`jnl`	Preoperative brain tumor imaging: models and software for segmentation and standardized reporting. CoRR 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
2022	J	`jnl`	Train smarter, not harder: learning deep abdominal CT registration on scarce data. CoRR Javier Pérez de Frutos, André Pedersen, Egidijus Pelanis, David Bouget, Shanmugapriya Survarachakan, Thomas Langø, Ole Jakob Elle, Frank Lindseth
2021	J	`jnl`	Hybrid guiding: A multi-resolution refinement approach for semantic segmentation of gigapixel histopathological images. CoRR André Pedersen, Erik Smistad, Tor V. Rise, Vibeke G. Dale, Henrik Sahlin Pettersen, Tor-Arne S. Nordmo, David Bouget, Ingerid Reinertsen, Marit Valla
2021	J	`jnl`	Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding. CoRR David Bouget, André Pedersen, Johanna Vanel, Håkon Olav Leira, Thomas Langø
2021	J	`jnl`	Meningioma segmentation in T1-weighted MRI leveraging global context and attention mechanisms. CoRR David Bouget, André Pedersen, Sayied Abdol Mohieb Hosainey, Ole Solheim, Ingerid Reinertsen
2020	J	`jnl`	Fast meningioma segmentation in T1-weighted MRI volumes using a lightweight 3D deep learning architecture. CoRR David Bouget, André Pedersen, Sayied Abdol Mohieb Hosainey, Johanna Vanel, Ole Solheim, Ingerid Reinertsen
2019	J	`jnl`	Semantic segmentation and detection of mediastinal lymph nodes and anatomical structures in CT data for lung cancer staging. Int. J. Comput. Assist. Radiol. Surg. David Bouget, Arve Jørgensen, Gabriel Kiss, Håkon Olav Leira, Thomas Langø
2018	J	`jnl`	A mixed-reality surgical trainer with comprehensive sensing for fetal laser minimally invasive surgery. Int. J. Comput. Assist. Radiol. Surg. Allan Javaux, David Bouget, Caspar Gruijthuijsen, Danail Stoyanov, Tom Vercauteren, Sébastien Ourselin, Jan Deprest, Kathleen Denis, Emmanuel B. Vander Poorten
2017	A	`conf`	Body wall force sensor for simulated minimally invasive surgery: Application to fetal surgery. IROS Allan Javaux, Laure Esteveny, David Bouget, Caspar Gruijthuijsen, Danail Stoyanov, Tom Vercauteren, Sébastien Ourselin, Dominiek Reynaerts, Kathleen Denis, Jan Deprest, Emmanuel B. Vander Poorten
2017	J	`jnl`	Vision-based and marker-less surgical tool detection and tracking: a review of the literature. Medical Image Anal. David Bouget, Max Allan, Danail Stoyanov, Pierre Jannin
2016	J	`jnl`	Automatic data-driven real-time segmentation and recognition of surgical workflow. Int. J. Comput. Assist. Radiol. Surg. Olga Dergachyova, David Bouget, Arnaud Huaulmé, Xavier Morandi, Pierre Jannin
2016	J	`jnl`	Unsupervised Trajectory Segmentation for Surgical Gesture Recognition in Robotic Training. IEEE Trans. Biomed. Eng. Fabien Despinoy, David Bouget, Germain Forestier, Cédric Penet, Nabil Zemiti, Philippe Poignet, Pierre Jannin
2015	J	`jnl`	Detecting Surgical Tools by Modelling Local Appearance and Global Shape. IEEE Trans. Medical Imaging David Bouget, Rodrigo Benenson, Mohamed Omran, Laurent Riffaud, Bernt Schiele, Pierre Jannin
2013	J	`jnl`	Automatic knowledge-based recognition of low-level tasks in ophthalmological procedures. Int. J. Comput. Assist. Radiol. Surg. Florent Lalys, David Bouget, Laurent Riffaud, Pierre Jannin
2012	J	`jnl`	A Framework for the Recognition of High-Level Surgical Tasks From Video Images for Cataract Surgeries. IEEE Trans. Biomed. Eng. Florent Lalys, Laurent Riffaud, David Bouget, Pierre Jannin
2012	—	`conf`	Surgical Tools Recognition and Pupil Segmentation for Cataract Surgical Process Modeling. MMVR David Bouget, Florent Lalys, Pierre Jannin
2011	—	`conf`	An Application-Dependent Framework for the Recognition of High-Level Surgical Tasks in the OR. MICCAI (1) Florent Lalys, Laurent Riffaud, David Bouget, Pierre Jannin