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ORCIDAndré Pedersen
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2020 – today
- 2024
[i14]Soroush Oskouei, Marit Valla, André Pedersen, Erik Smistad, Vibeke Grotnes Dale, Maren Høibø, Sissel Gyrid Freim Wahl, Mats Dehli Haugum, Thomas Langø, Maria Paula Ramnefjell, Lars Andreas Akslen, Gabriel Kiss, Hanne Sorger:
Segmentation of Non-Small Cell Lung Carcinomas: Introducing DRU-Net and Multi-Lens Distortion. CoRR abs/2406.14287 (2024)- 2023
- [j3]David Bouget
, André Pedersen, Johanna Vanel, Håkon Olav Leira, Thomas Langø:
Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(1): 44-58 (2023) - [c2]David Bouget, André Pedersen, Ole Solheim, Ingerid Reinertsen:
The AGU-Net Architecture for Brain Tumor Segmentation: BraTS Challenges 2023. BraTS/CrossMoDA@MICCAI 2023: 11-23 - [i13]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:
Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks. CoRR abs/2304.08881 (2023) - [i12]David Bouget, Demah Alsinan, Valeria Gaitan, Ragnhild Holden Helland, André Pedersen, Ole Solheim, Ingerid Reinertsen:
Raidionics: an open software for pre- and postoperative central nervous system tumor segmentation and standardized reporting. CoRR abs/2305.14351 (2023) - [i11]Karen-Helene Støverud, David Bouget, André Pedersen, Håkon Olav Leira, Thomas Langø, Erlend Fagertun Hofstad:
AeroPath: An airway segmentation benchmark dataset with challenging pathology. CoRR abs/2311.01138 (2023) - [i10]Maren Høibø, André Pedersen, Vibeke Grotnes Dale, Sissel Marie Berget, Borgny Ytterhus, Cecilia Lindskog, Elisabeth Wik, Lars A. Akslen, Ingerid Reinertsen, Erik Smistad, Marit Valla:
Immunohistochemistry guided segmentation of benign epithelial cells, in situ lesions, and invasive epithelial cells in breast cancer slides. CoRR abs/2311.13261 (2023) - 2022
- [i9]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:
Preoperative brain tumor imaging: models and software for segmentation and standardized reporting. CoRR abs/2204.14199 (2022) - [i8]Javier Pérez de Frutos, André Pedersen, Egidijus Pelanis, David Bouget, Shanmugapriya Survarachakan, Thomas Langø, Ole Jakob Elle, Frank Lindseth:
Train smarter, not harder: learning deep abdominal CT registration on scarce data. CoRR abs/2211.15717 (2022) - 2021
- [j2]André Pedersen, Marit Valla, Anna M. Bofin, Javier Pérez de Frutos, Ingerid Reinertsen, Erik Smistad:
FastPathology: An Open-Source Platform for Deep Learning-Based Research and Decision Support in Digital Pathology. IEEE Access 9: 58216-58229 (2021) - [c1]Melissa Y. Yan, Lise Husby Høvik, André Pedersen, Lise Tuset Gustad, Øystein Nytrø:
Preliminary Processing and Analysis of an Adverse Event Dataset for Detecting Sepsis-Related Events. BIBM 2021: 1605-1610 - [i7]David Bouget, André Pedersen, Sayied Abdol Mohieb Hosainey, Ole Solheim, Ingerid Reinertsen:
Meningioma segmentation in T1-weighted MRI leveraging global context and attention mechanisms. CoRR abs/2101.07715 (2021) - [i6]David Bouget, André Pedersen, Johanna Vanel, Håkon Olav Leira, Thomas Langø:
Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding. CoRR abs/2102.06515 (2021) - [i5]Henrik Sahlin Pettersen, Ilya Belevich, Elin Synnøve Røyset, Erik Smistad, Eija Jokitalo, Ingerid Reinertsen, Ingunn Bakke, André Pedersen:
Code-free development and deployment of deep segmentation models for digital pathology. CoRR abs/2111.08430 (2021) - [i4]André Pedersen, Erik Smistad, Tor V. Rise, Vibeke G. Dale, Henrik Sahlin Pettersen, Tor-Arne S. Nordmo, David Bouget, Ingerid Reinertsen, Marit Valla:
Hybrid guiding: A multi-resolution refinement approach for semantic segmentation of gigapixel histopathological images. CoRR abs/2112.03455 (2021) - [i3]Vemund Fredriksen, Svein Ole M. Svele, André Pedersen, Thomas Langø, Gabriel Kiss, Frank Lindseth:
Teacher-Student Architecture for Mixed Supervised Lung Tumor Segmentation. CoRR abs/2112.11541 (2021) - 2020
- [i2]David Bouget, André Pedersen, Sayied Abdol Mohieb Hosainey, Johanna Vanel, Ole Solheim, Ingerid Reinertsen:
Fast meningioma segmentation in T1-weighted MRI volumes using a lightweight 3D deep learning architecture. CoRR abs/2010.07002 (2020) - [i1]André Pedersen, Marit Valla, Anna M. Bofin, Javier Pérez de Frutos, Ingerid Reinertsen, Erik Smistad:
FastPathology: An open-source platform for deep learning-based research and decision support in digital pathology. CoRR abs/2011.06033 (2020)
2010 – 2019
- 2019
- [j1]Erik Smistad, Andreas Østvik, André Pedersen:
High Performance Neural Network Inference, Streaming, and Visualization of Medical Images Using FAST. IEEE Access 7: 136310-136321 (2019)
Coauthor Index
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