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André Pedersen

Showing results (1-10 of 20) with videos related to

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Frontiers in Radiology|July 26, 2023
Meningioma Segmentation in T1-Weighted MRI Leveraging Global Context and Attention MechanismsDavid Bouget, André Pedersen, Sayied Abdol Mohieb Hosainey, et al.
Plos One|February 13, 2024
Correction: Teacher-student approach for lung tumor segmentation from mixed-supervised datasetsVemund Fredriksen, Svein Ole M Sevle, André Pedersen, et al.
Plos One|April 5, 2022
Teacher-student approach for lung tumor segmentation from mixed-supervised datasetsVemund Fredriksen, Svein Ole M Sevle, André Pedersen, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 29, 2021
Fast meningioma segmentation in T1-weighted magnetic resonance imaging volumes using a lightweight 3D deep learning architectureDavid Bouget, André Pedersen, Sayied Abdol Mohieb Hosainey, et al.
Scientific Reports|September 20, 2023
Raidionics: an open software for pre- and postoperative central nervous system tumor segmentation and standardized reportingDavid Bouget, Demah Alsinan, Valeria Gaitan, et al.
Plos One|October 2, 2024
AeroPath: An airway segmentation benchmark dataset with challenging pathology and baseline methodKaren-Helene Støverud, David Bouget, André Pedersen, et al.
Ultrasound in Medicine & Biology|February 7, 2021
Sonopermeation Enhances Uptake and Therapeutic Effect of Free and Encapsulated CabazitaxelSofie Snipstad, Ýrr Mørch, Einar Sulheim, et al.
Plos One|February 24, 2023
Learning deep abdominal CT registration through adaptive loss weighting and synthetic data generationJavier Pérez de Frutos, André Pedersen, Egidijus Pelanis, et al.
Frontiers in Medicine|February 14, 2022
Code-Free Development and Deployment of Deep Segmentation Models for Digital PathologyHenrik Sahlin Pettersen, Ilya Belevich, Elin Synnøve Røyset, et al.
Frontiers in Medicine|June 24, 2025
Predicting estrogen receptor status from HE-stained breast cancer slides using artificial intelligenceMaren Høibø, Ute Spiske, André Pedersen, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Frontiers in Radiology|July 26, 2023
Meningioma Segmentation in T1-Weighted MRI Leveraging Global Context and Attention MechanismsDavid Bouget, André Pedersen, Sayied Abdol Mohieb Hosainey, et al.
Plos One|February 13, 2024
Correction: Teacher-student approach for lung tumor segmentation from mixed-supervised datasetsVemund Fredriksen, Svein Ole M Sevle, André Pedersen, et al.
Plos One|April 5, 2022
Teacher-student approach for lung tumor segmentation from mixed-supervised datasetsVemund Fredriksen, Svein Ole M Sevle, André Pedersen, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 29, 2021
Fast meningioma segmentation in T1-weighted magnetic resonance imaging volumes using a lightweight 3D deep learning architectureDavid Bouget, André Pedersen, Sayied Abdol Mohieb Hosainey, et al.
Scientific Reports|September 20, 2023
Raidionics: an open software for pre- and postoperative central nervous system tumor segmentation and standardized reportingDavid Bouget, Demah Alsinan, Valeria Gaitan, et al.
Plos One|October 2, 2024
AeroPath: An airway segmentation benchmark dataset with challenging pathology and baseline methodKaren-Helene Støverud, David Bouget, André Pedersen, et al.
Ultrasound in Medicine & Biology|February 7, 2021
Sonopermeation Enhances Uptake and Therapeutic Effect of Free and Encapsulated CabazitaxelSofie Snipstad, Ýrr Mørch, Einar Sulheim, et al.
Plos One|February 24, 2023
Learning deep abdominal CT registration through adaptive loss weighting and synthetic data generationJavier Pérez de Frutos, André Pedersen, Egidijus Pelanis, et al.
Frontiers in Medicine|February 14, 2022
Code-Free Development and Deployment of Deep Segmentation Models for Digital PathologyHenrik Sahlin Pettersen, Ilya Belevich, Elin Synnøve Røyset, et al.
Frontiers in Medicine|June 24, 2025
Predicting estrogen receptor status from HE-stained breast cancer slides using artificial intelligenceMaren Høibø, Ute Spiske, André Pedersen, et al.
Pageof 2