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

R. Helland, A. Ferles, A. Pedersen, I. Kommers, H. Ardon, F. Barkhof, L. Bello, M. Berger, T. Dunås, M. Nibali, J. Furtner, S. Hervey-Jumper, A. Idema, B. Kiesel, R. Tewarie, E. Mandonnet, D. Müller, P. Robe, M. Rossi, L. Sagberg, T. Sciortino, T. Aalders, M. Wagemakers, G. Widhalm, M. Witte, A. Zwinderman, P. Majewska, A. Jakola, O. Solheim, P. de Witt Hamer, I. Reinertsen, R. Eijgelaar, and D. Bouget. CoRR, (2023)

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Ulf Pedersen

Vera Pedersen

Ole Pedersen

Susanne Pedersen

Ena Pedersen

Other publications of authors with the same name

Meningioma segmentation in T1-weighted MRI leveraging global context and attention mechanisms.D. Bouget, A. Pedersen, S. Hosainey, O. Solheim, and I. Reinertsen. CoRR, (2021)Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding.D. Bouget, A. Pedersen, J. Vanel, H. Leira, and T. Langø. Comput. methods Biomech. Biomed. Eng. Imaging Vis., 11 (1): 44-58 (January 2023)Preliminary Processing and Analysis of an Adverse Event Dataset for Detecting Sepsis-Related Events.M. Yan, L. Høvik, A. Pedersen, L. Gustad, and Ø. Nytrø. BIBM, page 1605-1610. IEEE, (2021)FastPathology: An open-source platform for deep learning-based research and decision support in digital pathology.A. Pedersen, M. Valla, A. Bofin, J. de Frutos, I. Reinertsen, and E. Smistad. CoRR, (2020)Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding.D. Bouget, A. Pedersen, J. Vanel, H. Leira, and T. Langø. CoRR, (2021)Teacher-Student Architecture for Mixed Supervised Lung Tumor Segmentation.V. Fredriksen, S. Svele, A. Pedersen, T. Langø, G. Kiss, and F. Lindseth. CoRR, (2021)Hybrid guiding: A multi-resolution refinement approach for semantic segmentation of gigapixel histopathological images.A. Pedersen, E. Smistad, T. Rise, V. Dale, H. Pettersen, T. Nordmo, D. Bouget, I. Reinertsen, and M. Valla. CoRR, (2021)Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks.R. Helland, A. Ferles, A. Pedersen, I. Kommers, H. Ardon, F. Barkhof, L. Bello, M. Berger, T. Dunås, M. Nibali and 23 other author(s). CoRR, (2023)Code-free development and deployment of deep segmentation models for digital pathology.H. Pettersen, I. Belevich, E. Røyset, E. Smistad, E. Jokitalo, I. Reinertsen, I. Bakke, and A. Pedersen. CoRR, (2021)Raidionics: an open software for pre- and postoperative central nervous system tumor segmentation and standardized reporting.D. Bouget, D. Alsinan, V. Gaitan, R. Helland, A. Pedersen, O. Solheim, and I. Reinertsen. CoRR, (2023)

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Disambiguation of "Pedersen, André"

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

Please choose a person to relate this publication to

Ulf Pedersen

Vera Pedersen

Ole Pedersen

Susanne Pedersen

Ena Pedersen

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Pedersen, André"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks.

Please choose a person to relate this publication to

Ulf Pedersen

Vera Pedersen

Ole Pedersen

Susanne Pedersen

Ena Pedersen

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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