André Pedersen

21 papers Journal 19Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Low-Cost Lung Cancer Classification in WSIs Using a Foundation Model and Evolving Prototypes. Algorithms Soroush Oskouei, André Pedersen, Marit Valla, Vibeke Grotnes Dale, Sissel Gyrid Freim Wahl, Mats Dehli Haugum, Borgny Ytterhus, Maria Paula Ramnefjell, Lars Andreas Akslen, Gabriel Kiss, Hanne Sorger
2025	J	`jnl`	Segmentation of Non-Small Cell Lung Carcinomas: Introducing DRU-Net and Multi-Lens Distortion. J. Imaging 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
2024	J	`jnl`	Segmentation of Non-Small Cell Lung Carcinomas: Introducing DRU-Net and Multi-Lens Distortion. CoRR 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
2023	J	`jnl`	AeroPath: An airway segmentation benchmark dataset with challenging pathology. CoRR Karen-Helene Støverud, David Bouget, André Pedersen, Håkon Olav Leira, Thomas Langø, Erlend Fagertun Hofstad
2023	J	`jnl`	Immunohistochemistry guided segmentation of benign epithelial cells, in situ lesions, and invasive epithelial cells in breast cancer slides. CoRR 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
2023	J	`jnl`	Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding. Comput. methods Biomech. Biomed. Eng. Imaging Vis. David Bouget, André Pedersen, Johanna Vanel, Håkon Olav Leira, Thomas Langø
2023	J	`jnl`	Raidionics: an open software for pre- and postoperative central nervous system tumor segmentation and standardized reporting. CoRR David Bouget, Demah Alsinan, Valeria Gaitan, Ragnhild Holden Helland, André Pedersen, Ole Solheim, Ingerid Reinertsen
2023	J	`jnl`	Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks. CoRR 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
2023	—	`conf`	The AGU-Net Architecture for Brain Tumor Segmentation: BraTS Challenges 2023. BraTS/CrossMoDA@MICCAI David Bouget, André Pedersen, Ole Solheim, Ingerid Reinertsen
2022	J	`jnl`	Preoperative brain tumor imaging: models and software for segmentation and standardized reporting. CoRR 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
2022	J	`jnl`	Train smarter, not harder: learning deep abdominal CT registration on scarce data. CoRR Javier Pérez de Frutos, André Pedersen, Egidijus Pelanis, David Bouget, Shanmugapriya Survarachakan, Thomas Langø, Ole Jakob Elle, Frank Lindseth
2021	J	`jnl`	Code-free development and deployment of deep segmentation models for digital pathology. CoRR Henrik Sahlin Pettersen, Ilya Belevich, Elin Synnøve Røyset, Erik Smistad, Eija Jokitalo, Ingerid Reinertsen, Ingunn Bakke, André Pedersen
2021	J	`jnl`	FastPathology: An Open-Source Platform for Deep Learning-Based Research and Decision Support in Digital Pathology. IEEE Access André Pedersen, Marit Valla, Anna M. Bofin, Javier Pérez de Frutos, Ingerid Reinertsen, Erik Smistad
2021	J	`jnl`	Hybrid guiding: A multi-resolution refinement approach for semantic segmentation of gigapixel histopathological images. CoRR André Pedersen, Erik Smistad, Tor V. Rise, Vibeke G. Dale, Henrik Sahlin Pettersen, Tor-Arne S. Nordmo, David Bouget, Ingerid Reinertsen, Marit Valla
2021	J	`jnl`	Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding. CoRR David Bouget, André Pedersen, Johanna Vanel, Håkon Olav Leira, Thomas Langø
2021	J	`jnl`	Meningioma segmentation in T1-weighted MRI leveraging global context and attention mechanisms. CoRR David Bouget, André Pedersen, Sayied Abdol Mohieb Hosainey, Ole Solheim, Ingerid Reinertsen
2021	—	`conf`	Preliminary Processing and Analysis of an Adverse Event Dataset for Detecting Sepsis-Related Events. BIBM Melissa Y. Yan, Lise Husby Høvik, André Pedersen, Lise Tuset Gustad, Øystein Nytrø
2021	J	`jnl`	Teacher-Student Architecture for Mixed Supervised Lung Tumor Segmentation. CoRR Vemund Fredriksen, Svein Ole M. Svele, André Pedersen, Thomas Langø, Gabriel Kiss, Frank Lindseth
2020	J	`jnl`	Fast meningioma segmentation in T1-weighted MRI volumes using a lightweight 3D deep learning architecture. CoRR David Bouget, André Pedersen, Sayied Abdol Mohieb Hosainey, Johanna Vanel, Ole Solheim, Ingerid Reinertsen
2020	J	`jnl`	FastPathology: An open-source platform for deep learning-based research and decision support in digital pathology. CoRR André Pedersen, Marit Valla, Anna M. Bofin, Javier Pérez de Frutos, Ingerid Reinertsen, Erik Smistad
2019	J	`jnl`	High Performance Neural Network Inference, Streaming, and Visualization of Medical Images Using FAST. IEEE Access Erik Smistad, Andreas Østvik, André Pedersen