| High performance neural network inference, streaming, and visualization of medical images using FAST E Smistad, A Østvik, A Pedersen IEEE access 7, 136310-136321, 2019 | 28 | 2019 |
| Sonopermeation enhances uptake and therapeutic effect of free and encapsulated cabazitaxel S Snipstad, Ý Mørch, E Sulheim, A Åslund, A Pedersen, ... Ultrasound in Medicine & Biology 47 (5), 1319-1333, 2021 | 25 | 2021 |
| 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 | 18 | 2021 |
| FastPathology: An open-source platform for deep learning-based research and decision support in digital pathology A Pedersen, M Valla, AM Bofin, JP De Frutos, I Reinertsen, E Smistad IEEE access 9, 58216-58229, 2021 | 17 | 2021 |
| 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 | 16 | 2021 |
| 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 | 15 | 2023 |
| 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 | 13 | 2022 |
| 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 | 12 | 2021 |
| Code-free development and deployment of deep segmentation models for digital pathology HS Pettersen, I Belevich, ES Røyset, E Smistad, MR Simpson, E Jokitalo, ... Frontiers in Medicine 8, 816281, 2022 | 8 | 2022 |
| 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 | 8 | 2021 |
| 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 | 7 | 2022 |
| Teacher-student approach for lung tumor segmentation from mixed-supervised datasets V Fredriksen, SOM Sevle, A Pedersen, T Langø, G Kiss, F Lindseth Plos one 17 (4), e0266147, 2022 | 7 | 2022 |
| Preliminary processing and analysis of an adverse event dataset for detecting sepsis-related events MY Yan, LH Høvik, A Pedersen, LT Gustad, Ø Nytrø 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 6 | 2021 |
| Hybrid guiding: A multi-resolution refinement approach for semantic segmentation of gigapixel histopathological images A Pedersen, E Smistad, TV Rise, VG Dale, HS Pettersen, TAS Nordmo, ... arXiv preprint arXiv:2112.03455, 2021 | 4 | 2021 |
| Raidionics: an open software for pre-and postoperative central nervous system tumor segmentation and standardized reporting D Bouget, D Alsinan, V Gaitan, RH Helland, A Pedersen, O Solheim, ... Scientific Reports 13 (1), 15570, 2023 | 2 | 2023 |
| Learning deep abdominal CT registration through adaptive loss weighting and synthetic data generation J Pérez de Frutos, A Pedersen, E Pelanis, D Bouget, S Survarachakan, ... Plos one 18 (2), e0282110, 2023 | 2 | 2023 |
| P11. 37. B When to resect or biopsy for patients with supratentorial glioblastoma: a multivariable prediction model IO Kommers, RS Eijgelaar, F Barkhof, D Bouget, A Pedersen, H Ardon, ... Neuro-Oncology 24 (Supplement_2), ii65-ii66, 2022 | 2 | 2022 |
| Meningioma segmentation in T1-weighted MRI leveraging global context and attention mechanisms. arXiv 2021 D Bouget, A Pedersen, SAM Hosainey, O Solheim, I Reinertsen arXiv preprint arXiv:2101.07715, 0 | 2 | |
| Teacher-student approach for lung tumor segmentation from mixed-supervised datasets (vol 19, e0298978, 2024) V Fredriksen, SOM Sevle, A Pedersen, T Lango, G Kiss, F Lindseth PLOS ONE 19 (2), 2024 | | 2024 |
| Correction: Teacher-student approach for lung tumor segmentation from mixed-supervised datasets V Fredriksen, SOM Sevle, A Pedersen, T Langø, G Kiss, F Lindseth Plos one 19 (2), e0298978, 2024 | | 2024 |
Ingerid ReinertsenResearch manager, SINTEF and Associate Professor, NTNUVerifisert e-postadresse på sintef.no
