André Pedersen

According to our database, André Pedersen authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Segmentation of Non-Small Cell Lung Carcinomas: Introducing DRU-Net and Multi-Lens Distortion.

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

CoRR, 2024

2023

Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding.

David Bouget, André Pedersen, Johanna Vanel, Håkon Olav Leira, Thomas Langø

Comput. methods Biomech. Biomed. Eng. Imaging Vis., January, 2023

Immunohistochemistry guided segmentation of benign epithelial cells, in situ lesions, and invasive epithelial cells in breast cancer slides.

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

CoRR, 2023

AeroPath: An airway segmentation benchmark dataset with challenging pathology.

Karen-Helene Støverud, David Bouget, André Pedersen, Håkon Olav Leira, Thomas Langø, Erlend Fagertun Hofstad

CoRR, 2023

Raidionics: an open software for pre- and postoperative central nervous system tumor segmentation and standardized reporting.

David Bouget, Demah Alsinan, Valeria Gaitan, Ragnhild Holden Helland, André Pedersen, Ole Solheim, Ingerid Reinertsen

CoRR, 2023

Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks.

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

CoRR, 2023

The AGU-Net Architecture for Brain Tumor Segmentation: BraTS Challenges 2023.

David Bouget, André Pedersen, Ole Solheim, Ingerid Reinertsen

Proceedings of the Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation, 2023

2022

Train smarter, not harder: learning deep abdominal CT registration on scarce data.

Javier Pérez de Frutos, André Pedersen, Egidijus Pelanis, David Bouget, Shanmugapriya Survarachakan, Thomas Langø, Ole Jakob Elle, Frank Lindseth

CoRR, 2022

Preoperative brain tumor imaging: models and software for segmentation and standardized reporting.

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

CoRR, 2022

2021

Teacher-Student Architecture for Mixed Supervised Lung Tumor Segmentation.

Vemund Fredriksen, Svein Ole M. Svele, André Pedersen, Thomas Langø, Gabriel Kiss, Frank Lindseth

CoRR, 2021

Hybrid guiding: A multi-resolution refinement approach for semantic segmentation of gigapixel histopathological images.

André Pedersen, Erik Smistad, Tor V. Rise, Vibeke G. Dale, Henrik Sahlin Pettersen, Tor-Arne S. Nordmo, David Bouget, Ingerid Reinertsen, Marit Valla

CoRR, 2021

Code-free development and deployment of deep segmentation models for digital pathology.

Henrik Sahlin Pettersen, Ilya Belevich, Elin Synnøve Røyset, Erik Smistad, Eija Jokitalo, Ingerid Reinertsen, Ingunn Bakke, André Pedersen

CoRR, 2021

Meningioma segmentation in T1-weighted MRI leveraging global context and attention mechanisms.

David Bouget, André Pedersen, Sayied Abdol Mohieb Hosainey, Ole Solheim, Ingerid Reinertsen

CoRR, 2021

FastPathology: An Open-Source Platform for Deep Learning-Based Research and Decision Support in Digital Pathology.

André Pedersen, Marit Valla, Anna M. Bofin, Javier Pérez de Frutos, Ingerid Reinertsen, Erik Smistad

IEEE Access, 2021

Preliminary Processing and Analysis of an Adverse Event Dataset for Detecting Sepsis-Related Events.

Melissa Y. Yan, Lise Husby Høvik, André Pedersen, Lise Tuset Gustad, Øystein Nytrø

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Fast meningioma segmentation in T1-weighted MRI volumes using a lightweight 3D deep learning architecture.

David Bouget, André Pedersen, Sayied Abdol Mohieb Hosainey, Johanna Vanel, Ole Solheim, Ingerid Reinertsen

CoRR, 2020

2019

High Performance Neural Network Inference, Streaming, and Visualization of Medical Images Using FAST.

Erik Smistad, Andreas Østvik, André Pedersen

IEEE Access, 2019