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Juan David Ospina
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2010 – 2019
- 2018
- [c10]Santiago Angée, Silvia I. Lozano-Argel, Edwin Nelson Montoya Munera, Juan David Ospina Arango, Marta S. Tabares-Betancur:
Towards an Improved ASUM-DM Process Methodology for Cross-Disciplinary Multi-organization Big Data & Analytics Projects. KMO 2018: 613-624 - 2017
- [j3]Richard Ríos, Renaud de Crevoisier, Juan David Ospina, Frederic Commandeur, Caroline Lafond, Antoine Simon, Pascal Haigron, Jairo Espinosa, Oscar Acosta:
Population model of bladder motion and deformation based on dominant eigenmodes and mixed-effects models in prostate cancer radiotherapy. Medical Image Anal. 38: 133-149 (2017) - [j2]Frederic Commandeur, Antoine Simon, Romain Mathieu, Mohamed Nassef, Juan David Ospina Arango, Yan Rolland, Pascal Haigron, Renaud de Crevoisier, Oscar Acosta:
MRI to CT Prostate Registration for Improved Targeting in Cancer External Beam Radiotherapy. IEEE J. Biomed. Health Informatics 21(4): 1015-1026 (2017) - 2016
- [j1]Geoffrey Roman-Jimenez, Renaud de Crevoisier, Julie Leseur, Anne Devillers, Juan David Ospina, Antoine Simon, Pierre Tervé, Oscar Acosta:
Detection of bladder metabolic artifacts in 18F-FDG PET imaging. Comput. Biol. Medicine 71: 77-85 (2016) - [c9]Geoffrey Roman-Jimenez, Oscar Acosta, Julie Leseur, Anne Devillers, Henri Der Sarkissian, Lina Guzman, Éloïse Grossiord, Juan David Ospina, Renaud de Crevoisier:
Random forests to predict tumor recurrence following cervical cancer therapy using pre- and per-treatment 18F-FDG PET parameters. EMBC 2016: 2444-2447 - 2015
- [c8]Geoffrey Roman-Jimenez, Oscar Acosta, Julie Leseur, Anne Devillers, Jonathan Le Gouestre, Juan David Ospina, Antoine Simon, Pierre Tervé, Renaud de Crevoisier:
Weighted quantification of 18F-FDG tumor metabolism activity using fuzzy-thresholding to predict post-treatment tumor recurrence. EMBC 2015: 2239-2242 - [c7]Aureline Fargeas, Juan David Ospina Arango, Amar Kachenoura, Nathalie Costet, Laurent Albera, Caroline Lafond, Oscar Acosta, Renaud de Crevoisier:
A new parameter computed with independent component analysis to predict rectal toxicity following prostate cancer radiotherapy. EMBC 2015: 2657-2660 - [c6]Juan David Ospina, Aureline Fargeas, Gaël Dréan, Antoine Simon, Oscar Acosta, Renaud de Crevoisier:
Recent advancements in toxicity prediction following prostate cancer radiotherapy. EMBC 2015: 5231-5234 - 2013
- [c5]Juan David Ospina, Frederic Commandeur, Richard Ríos, Gaël Dréan, Juan Carlos Correa, Antoine Simon, Pascal Haigron, Renaud de Crevoisier, Oscar Acosta:
A Tensor-Based Population Value Decomposition to Explain Rectal Toxicity after Prostate Cancer Radiotherapy. MICCAI (2) 2013: 387-394 - 2012
- [c4]Juan David Ospina, Oscar Acosta, Renaud de Crevoisier, Juan Carlos Correa, Pascal Haigron:
A non parametric mixed-effect model for population analysis: Application to Alzheimer's disease data. ISBI 2012: 1124-1127 - 2011
- [c3]Baiyang Chen, Oscar Acosta, Amar Kachenoura, Juan David Ospina, Gaël Dréan, Antoine Simon, Jean-Jacques Bellanger, Pascal Haigron, Renaud de Crevoisier:
Spatial Characterization and Classification of Rectal Bleeding in Prostate Cancer Radiotherapy with a Voxel-Based Principal Components Analysis Model for 3D Dose Distribution. Prostate Cancer Imaging 2011: 60-69 - [c2]Guillaume Cazoulat, Antoine Simon, Oscar Acosta, Juan David Ospina, Khemara Gnep, Romain Viard, Renaud de Crevoisier, Pascal Haigron:
Dose Monitoring in Prostate Cancer Radiotherapy Using CBCT to CT Constrained Elastic Image Registration. Prostate Cancer Imaging 2011: 70-79 - [c1]Juan David Ospina, Oscar Acosta, Gaël Dréan, Guillaume Cazoulat, Antoine Simon, Juan Carlos Correa, Pascal Haigron, Renaud de Crevoisier:
Spatial Nonparametric Mixed-Effects Model with Spatial-Varying Coefficients for Analysis of Populations. MLMI 2011: 142-150
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