Zobrazeno 1 - 10
of 452
pro vyhledávání: '"P. Bouget"'
Autor:
Støverud, Karen-Helene, Bouget, David, Pedersen, Andre, Leira, Håkon Olav, Langø, Thomas, Hofstad, Erlend Fagertun
To improve the prognosis of patients suffering from pulmonary diseases, such as lung cancer, early diagnosis and treatment are crucial. The analysis of CT images is invaluable for diagnosis, whereas high quality segmentation of the airway tree are re
Externí odkaz:
http://arxiv.org/abs/2311.01138
Autor:
Martine Devic, Louis Dennu, Jean-Claude Lozano, Cédric Mariac, Valérie Vergé, Philippe Schatt, François-Yves Bouget, François Sabot
Publikováno v:
BMC Genomics, Vol 25, Iss 1, Pp 1-13 (2024)
Abstract Background Although metabarcoding and metagenomic approaches have generated large datasets on worldwide phytoplankton species diversity, the intraspecific genetic diversity underlying the genetic adaptation of marine phytoplankton to specifi
Externí odkaz:
https://doaj.org/article/d16687e869194f0c8f03f22a2a0661a4
Autor:
Bouget, David, Alsinan, Demah, Gaitan, Valeria, Helland, Ragnhild Holden, Pedersen, André, Solheim, Ole, Reinertsen, Ingerid
For patients suffering from central nervous system tumors, prognosis estimation, treatment decisions, and postoperative assessments are made from the analysis of a set of magnetic resonance (MR) scans. Currently, the lack of open tools for standardiz
Externí odkaz:
http://arxiv.org/abs/2305.14351
Autor:
Helland, Ragnhild Holden, Ferles, Alexandros, Pedersen, André, Kommers, Ivar, Ardon, Hilko, Barkhof, Frederik, Bello, Lorenzo, Berger, Mitchel S., Dunås, Tora, Nibali, Marco Conti, Furtner, Julia, Hervey-Jumper, Shawn, Idema, Albert J. S., Kiesel, Barbara, Tewari, Rishi Nandoe, Mandonnet, Emmanuel, Müller, Domenique M. J., Robe, Pierre A., Rossi, Marco, Sagberg, Lisa M., Sciortino, Tommaso, Aalders, Tom, Wagemakers, Michiel, Widhalm, Georg, Witte, Marnix G., Zwinderman, Aeilko H., Majewska, Paulina L., Jakola, Asgeir S., Solheim, Ole, Hamer, Philip C. De Witt, Reinertsen, Ingerid, Eijgelaar, Roelant S., Bouget, David
Extent of resection after surgery is one of the main prognostic factors for patients diagnosed with glioblastoma. To achieve this, accurate segmentation and classification of residual tumor from post-operative MR images is essential. The current stan
Externí odkaz:
http://arxiv.org/abs/2304.08881
Autor:
de Frutos, Javier Pérez, Pedersen, André, Pelanis, Egidijus, Bouget, David, Survarachakan, Shanmugapriya, Langø, Thomas, Elle, Ole-Jakob, Lindseth, Frank
Publikováno v:
PLoS ONE 18(2): e0282110 (2023)
Purpose: This study aims to explore training strategies to improve convolutional neural network-based image-to-image deformable registration for abdominal imaging. Methods: Different training strategies, loss functions, and transfer learning schemes
Externí odkaz:
http://arxiv.org/abs/2211.15717
Autor:
François Saget, Adel Maamar, Maxime Esvan, Arnaud Gacouin, Jacques Bouget, Vincent Levrel, Jean-Marc Tadié, Louis Soulat, Paul Georges Reuter, Nicolas Peschanski, Bruno Laviolle
Publikováno v:
BMC Emergency Medicine, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background Sepsis is a leading cause of death and serious illness that requires early recognition and therapeutic management to improve survival. The quick-SOFA score helps in its recognition, but its diagnostic performance is insufficient.
Externí odkaz:
https://doaj.org/article/19e494043b9946258de3f9048466eb3a
Autor:
Bouget, D., Pedersen, A., Jakola, A. S., Kavouridis, V., Emblem, K. E., Eijgelaar, R. S., Kommers, I., Ardon, H., Barkhof, F., Bello, L., Berger, M. S., Nibali, M. C., Furtner, J., Hervey-Jumper, S., Idema, A. J. S., Kiesel, B., Kloet, A., Mandonnet, E., Müller, D. M. J., Robe, P. A., Rossi, M., Sciortino, T., Brink, W. Van den, Wagemakers, M., Widhalm, G., Witte, M. G., Zwinderman, A. H., Hamer, P. C. De Witt, Solheim, O., Reinertsen, I.
Publikováno v:
Frontiers in Neurology, Sec. Applied Neuroimaging, Volume 13, 2022
For patients suffering from brain tumor, prognosis estimation and treatment decisions are made by a multidisciplinary team based on a set of preoperative MR scans. Currently, the lack of standardized and automatic methods for tumor detection and gene
Externí odkaz:
http://arxiv.org/abs/2204.14199
Autor:
Pedersen, André, Smistad, Erik, Rise, Tor V., Dale, Vibeke G., Pettersen, Henrik S., Nordmo, Tor-Arne S., Bouget, David, Reinertsen, Ingerid, Valla, Marit
Histopathological cancer diagnostics has become more complex, and the increasing number of biopsies is a challenge for most pathology laboratories. Thus, development of automatic methods for evaluation of histopathological cancer sections would be of
Externí odkaz:
http://arxiv.org/abs/2112.03455
Autor:
Lidia Luque, Karoline Skogen, Bradley J. MacIntosh, Kyrre E. Emblem, Christopher Larsson, David Bouget, Ragnhild Holden Helland, Ingerid Reinertsen, Ole Solheim, Till Schellhorn, Jonas Vardal, Eduardo E. M. Mireles, Einar O. Vik-Mo, Atle Bjørnerud
Publikováno v:
Frontiers in Radiology, Vol 4 (2024)
Standard treatment of patients with glioblastoma includes surgical resection of the tumor. The extent of resection (EOR) achieved during surgery significantly impacts prognosis and is used to stratify patients in clinical trials. In this study, we de
Externí odkaz:
https://doaj.org/article/8ad9fb81987e47c2a9570e9d61f42457
Autor:
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 Tewari, 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
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract Extent of resection after surgery is one of the main prognostic factors for patients diagnosed with glioblastoma. To achieve this, accurate segmentation and classification of residual tumor from post-operative MR images is essential. The cur
Externí odkaz:
https://doaj.org/article/5ace2b3864664c65b8a85486587c3677