Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Valentin, Oreiller"'
Autor:
Daniel Abler, Roger Schaer, Valentin Oreiller, Himanshu Verma, Julien Reichenbach, Orfeas Aidonopoulos, Florian Evéquoz, Mario Jreige, John O. Prior, Adrien Depeursinge
Publikováno v:
European Radiology Experimental, Vol 7, Iss 1, Pp 1-13 (2023)
Abstract Background Radiomics, the field of image-based computational medical biomarker research, has experienced rapid growth over the past decade due to its potential to revolutionize the development of personalized decision support models. However
Externí odkaz:
https://doaj.org/article/9359553e1fe548328f030500f1f75194
Autor:
Daphné Faist, Mario Jreige, Valentin Oreiller, Marie Nicod Lalonde, Niklaus Schaefer, Adrien Depeursinge, John O. Prior
Publikováno v:
European Journal of Hybrid Imaging, Vol 6, Iss 1, Pp 1-9 (2022)
Abstract Background Quality and reproducibility of radiomics studies are essential requirements for the standardisation of radiomics models. As recent data-driven respiratory gating (DDG) [18F]-FDG has shown superior diagnostic performance in lung ca
Externí odkaz:
https://doaj.org/article/e9b72338bc5e4902b465c9defa8117ca
Autor:
Pierre Fontaine, Vincent Andrearczyk, Valentin Oreiller, Daniel Abler, Joel Castelli, Oscar Acosta, Renaud De Crevoisier, Martin Vallières, Mario Jreige, John O. Prior, Adrien Depeursinge
Publikováno v:
Clinical and Translational Radiation Oncology, Vol 33, Iss , Pp 153-158 (2022)
A vast majority of studies in the radiomics field are based on contours originating from radiotherapy planning. This kind of delineation (e.g. Gross Tumor Volume, GTV) is often larger than the true tumoral volume, sometimes including parts of other o
Externí odkaz:
https://doaj.org/article/9725dd9e1fed425185c7e9ed0ca0aa43
Publikováno v:
Informatics in Medicine Unlocked, Vol 43, Iss , Pp 101403- (2023)
The locality and spatial field of view of image operators have played a major role in image analysis, from hand-crafted to deep learning methods. In Convolutional Neural Networks (CNNs), the field of view is traditionally set to very small values (e.
Externí odkaz:
https://doaj.org/article/e22c911486dc43c4b640e9d229d733c1
Autor:
Vincent Andrearczyk, Valentin Oreiller, Moamen Abobakr, Azadeh Akhavanallaf, Panagiotis Balermpas, Sarah Boughdad, Leo Capriotti, Joel Castelli, Catherine Cheze Le Rest, Pierre Decazes, Ricardo Correia, Dina El-Habashy, Hesham Elhalawani, Clifton D. Fuller, Mario Jreige, Yomna Khamis, Agustina La Greca, Abdallah Mohamed, Mohamed Naser, John O. Prior, Su Ruan, Stephanie Tanadini-Lang, Olena Tankyevych, Yazdan Salimi, Martin Vallières, Pierre Vera, Dimitris Visvikis, Kareem Wahid, Habib Zaidi, Mathieu Hatt, Adrien Depeursinge
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031274190
Head and Neck Tumor Segmentation and Outcome Prediction-Third Challenge
Head and Neck Tumor Segmentation and Outcome Prediction-Third Challenge, Sep 2022, Singapore, Singapore. pp.1-30, ⟨10.1007/978-3-031-27420-6_1⟩
Head and Neck Tumor Segmentation and Outcome Prediction-Third Challenge
Head and Neck Tumor Segmentation and Outcome Prediction-Third Challenge, Sep 2022, Singapore, Singapore. pp.1-30, ⟨10.1007/978-3-031-27420-6_1⟩
International audience; This paper presents an overview of the third edition of the HEad and neCK TumOR segmentation and outcome prediction (HECKTOR) challenge, organized as a satellite event of the 25th International Conference on Medical Image Comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d79b573a15e947eb66bc272f918db2a0
https://doi.org/10.1007/978-3-031-27420-6_1
https://doi.org/10.1007/978-3-031-27420-6_1
Autor:
Vincent, Andrearczyk, Valentin, Oreiller, Mario, Jreige, Joel, Castelli, John O, Prior, Adrien, Depeursinge
Publikováno v:
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
The prediction of cancer characteristics, treatment planning and patient outcome from medical images generally requires tumor delineation. In Head and Neck cancer (HN), the automatic segmentation and differentiation of primary Gross Tumor Volumes (GT
Autor:
Daniel Abler, Vincent Andrearczyk, Valentin Oreiller, Javier Barranco Garcia, Diem Vuong, Stephanie Tanadini-Lang, Matthias Guckenberger, Mauricio Reyes, Adrien Depeursinge
Publikováno v:
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries ISBN: 9783031090011
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6be9ba9348a2a2394fb34d0253d93515
https://doi.org/10.1007/978-3-031-09002-8_33
https://doi.org/10.1007/978-3-031-09002-8_33
Autor:
Valentin Oreiller, Vincent Andrearczyk, Mario Jreige, Sarah Boughdad, Hesham Elhalawani, Joel Castelli, Martin Vallières, Simeng Zhu, Juanying Xie, Ying Peng, Andrei Iantsen, Mathieu Hatt, Yading Yuan, Jun Ma, Xiaoping Yang, Chinmay Rao, Suraj Pai, Kanchan Ghimire, Xue Feng, Mohamed A. Naser, Clifton D. Fuller, Fereshteh Yousefirizi, Arman Rahmim, Huai Chen, Lisheng Wang, John O. Prior, Adrien Depeursinge
Publikováno v:
Medical Image Analysis
Medical Image Analysis, 2022, 77, pp.102336. ⟨10.1016/j.media.2021.102336⟩
Medical Image Analysis, 77:102336. Elsevier
Medical Image Analysis, 2022, 77, pp.102336. ⟨10.1016/j.media.2021.102336⟩
Medical Image Analysis, 77:102336. Elsevier
International audience; This paper relates the post-analysis of the first edition of the HEad and neCK TumOR (HECKTOR) challenge. This challenge was held as a satellite event of the 23rd International Conference on Medical Image Computing and Compute
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e3c6b259091e9a9af77939ba8e5a775
https://hal.science/hal-03711820/file/Oreiller_2022_head_neck_tumor.pdf
https://hal.science/hal-03711820/file/Oreiller_2022_head_neck_tumor.pdf
Autor:
Vincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, Catherine Cheze Le Rest, Hesham Elhalawani, Mario Jreige, John O. Prior, Martin Vallières, Dimitris Visvikis, Mathieu Hatt, Adrien Depeursinge
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030982522
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::babc4b7880ebd23a7f6fab1dff4aaf55
https://doi.org/10.1007/978-3-030-98253-9_1
https://doi.org/10.1007/978-3-030-98253-9_1
Autor:
Joël Castelli, Valentin Oreiller, John O. Prior, Pierre Fontaine, Adrien Depeursinge, Mario Jreige, Vincent Andrearczyk
Publikováno v:
4th International Workshop on Predictive Intelligence in Medicine, PRIME 2021, held in conjunction with 24th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2021
4th International Workshop on Predictive Intelligence in Medicine, PRIME 2021, held in conjunction with 24th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2021, Oct 2021, Strasbourg, France. pp.147-156, ⟨10.1007/978-3-030-87602-9_14⟩
Predictive Intelligence in Medicine ISBN: 9783030876012
PRIME@MICCAI
4th International Workshop on Predictive Intelligence in Medicine, PRIME 2021, held in conjunction with 24th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2021, Oct 2021, Strasbourg, France. pp.147-156, ⟨10.1007/978-3-030-87602-9_14⟩
Predictive Intelligence in Medicine ISBN: 9783030876012
PRIME@MICCAI
International audience; We propose a novel method for the prediction of patient prognosis with Head and Neck cancer (HandN) from FDG-PET/CT images. In particular, we aim at automatically predicting Disease-Free Survival (DFS) for patients treated wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5525a8fb75b82c1e8752a37924a2ed9e
https://hal.archives-ouvertes.fr/hal-03420378
https://hal.archives-ouvertes.fr/hal-03420378