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David Bouget
David Bouget
Research scientist, SINTEF Digital
Dirección de correo verificada de sintef.no
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Vision-based and marker-less surgical tool detection and tracking: a review of the literature
D Bouget, M Allan, D Stoyanov, P Jannin
Medical image analysis 35, 633-654, 2017
2912017
A framework for the recognition of high-level surgical tasks from video images for cataract surgeries
F Lalys, L Riffaud, D Bouget, P Jannin
IEEE Transactions on Biomedical Engineering 59 (4), 966-976, 2011
1432011
Automatic data-driven real-time segmentation and recognition of surgical workflow
O Dergachyova, D Bouget, A Huaulmé, X Morandi, P Jannin
International journal of computer assisted radiology and surgery 11, 1081-1089, 2016
1322016
Detecting surgical tools by modelling local appearance and global shape
D Bouget, R Benenson, M Omran, L Riffaud, B Schiele, P Jannin
IEEE transactions on medical imaging 34 (12), 2603-2617, 2015
1302015
Unsupervised trajectory segmentation for surgical gesture recognition in robotic training
F Despinoy, D Bouget, G Forestier, C Penet, N Zemiti, P Poignet, P Jannin
IEEE Transactions on Biomedical Engineering 63 (6), 1280-1291, 2015
1182015
Semantic segmentation and detection of mediastinal lymph nodes and anatomical structures in CT data for lung cancer staging
D Bouget, A Jørgensen, G Kiss, HO Leira, T Langø
International journal of computer assisted radiology and surgery 14, 977-986, 2019
682019
Automatic knowledge-based recognition of low-level tasks in ophthalmological procedures
F Lalys, D Bouget, L Riffaud, P Jannin
International journal of computer assisted radiology and surgery 8, 39-49, 2013
662013
A mixed-reality surgical trainer with comprehensive sensing for fetal laser minimally invasive surgery
A Javaux, D Bouget, C Gruijthuijsen, D Stoyanov, T Vercauteren, ...
International journal of computer assisted radiology and surgery 13, 1949-1957, 2018
342018
An application-dependent framework for the recognition of high-level surgical tasks in the OR
F Lalys, L Riffaud, D Bouget, P Jannin
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011
342011
Meningioma segmentation in T1-weighted MRI leveraging global context and attention mechanisms
D Bouget, A Pedersen, SAM Hosainey, O Solheim, I Reinertsen
Frontiers in radiology 1, 711514, 2021
212021
Spatial distribution of malignant transformation in patients with low-grade glioma
AS Jakola, D Bouget, I Reinertsen, AJ Skjulsvik, LM Sagberg, HK Bø, ...
Journal of neuro-oncology 146, 373-380, 2020
202020
Surgical tools recognition and pupil segmentation for cataract surgical process modeling
D Bouget, F Lalys, P Jannin
Medicine Meets Virtual Reality 19, 78-84, 2012
202012
Preoperative brain tumor imaging: Models and software for segmentation and standardized reporting
D Bouget, A Pedersen, AS Jakola, V Kavouridis, KE Emblem, ...
Frontiers in neurology 13, 932219, 2022
182022
Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding
D Bouget, A Pedersen, J Vanel, HO Leira, T Langø
Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2023
172023
Brain infarctions after glioma surgery: prevalence, radiological characteristics and risk factors
PS Strand, EM Berntsen, EH Fyllingen, LM Sagberg, I Reinertsen, ...
Acta Neurochirurgica 163 (11), 3097-3108, 2021
172021
Fast meningioma segmentation in T1-weighted magnetic resonance imaging volumes using a lightweight 3D deep learning architecture
D Bouget, A Pedersen, SAM Hosainey, J Vanel, O Solheim, I Reinertsen
Journal of Medical Imaging 8 (2), 024002-024002, 2021
172021
Are there predilection sites for intracranial meningioma? A population-based atlas
SAM Hosainey, D Bouget, I Reinertsen, LM Sagberg, SH Torp, AS Jakola, ...
Neurosurgical review, 1-10, 2022
142022
Glioblastoma surgery imaging–reporting and data system: validation and performance of the automated segmentation task
D Bouget, RS Eijgelaar, A Pedersen, I Kommers, H Ardon, F Barkhof, ...
Cancers 13 (18), 4674, 2021
132021
Glioblastoma surgery imaging—reporting and data system: Standardized reporting of tumor volume, location, and resectability based on automated segmentations
I Kommers, D Bouget, A Pedersen, RS Eijgelaar, H Ardon, F Barkhof, ...
Cancers 13 (12), 2854, 2021
112021
H2G-Net: A multi-resolution refinement approach for segmentation of breast cancer region in gigapixel histopathological images
A Pedersen, E Smistad, TV Rise, VG Dale, HS Pettersen, TAS Nordmo, ...
Frontiers in medicine 9, 971873, 2022
82022
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