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P
Palou G, Salembier P. Precision-Recall-Classification Evaluation Framework: Application to Depth Estimation on Single Images. In European Conference on Computer Vision (ECCV). Zurich; 2014.  (1.37 MB)
Pareto D, Vidal P, Alberich M, Lopez C, Auger C, Tintoré M, et al.. Prediction of a second clinical event in CIS patients by combining lesion and brain features. In Congress of the European Comitee for Treatment and Research in Multiple Sclerosis (ECTRIMS 2019). 2019.
Cumplido-Mayoral I, Ingala S, Lorenzini L, Wink AMeije, Haller S, Molinuevo JLuis, et al.. Prediction of amyloid pathology in cognitively unimpaired individuals using structural MRI. In Alzheimer's Association International Conference. 2021.
Petrone P, Casamitjana A, Falcon C, Cànaves MArtigues, Operto G, Cacciaglia R, et al.. Prediction of amyloid pathology in cognitively unimpaired individuals using voxelwise analysis of longitudinal structural brain MRI. Alzheimer's Research & Therapy. 2019;11(1).
Cumplido-Mayoral I, Ingala S, Lorenzini L, Wink AMeije, Haller S, Molinuevo JLuis, et al.. Prediction of amyloid pathology in cognitively unimpaired individuals using structural MRI. In Alzheimer's Association International Conference. 2021.
Plasencia AChávez, García-Gómez P, Pérez EBernal, de-Mas-Giménez G, Casas J, Royo S. A Preliminary Study of Deep Learning Sensor Fusion for Pedestrian Detection. Sensors. 2023;23(8).
Plasencia AChávez, García-Gómez P, Pérez EBernal, de-Mas-Giménez G, Casas J, Royo S. A Preliminary Study of Deep Learning Sensor Fusion for Pedestrian Detection. Sensors. 2023;23(8).
Cànaves MArtigues. Prevention of Alzheimer's Disease: a contribution from MRI and machine learning. Petrone P, Vilaplana V. 2018.
Bragos R, Alarcón E, Cabrera M, Calveras A, Comellas J, O'Callaghan J, et al.. Proceso de inversión de competencias genéricas en los nuevos planes de estudios de grado de la ETSETB de acuerdo con el modelo CDIO. In IX Congreso de Tecnologías Aplicadas a la Enseñanza de la Electrónica. 2010. pp. 1–9.
Bragos R, Alarcón E, Cabrera M, Calveras A, Comellas J, O'Callaghan J, et al.. Proceso de inversión de competencias genéricas en los nuevos planes de estudios de grado de la ETSETB de acuerdo con el modelo CDIO. In IX Congreso de Tecnologías Aplicadas a la Enseñanza de la Electrónica. 2010. pp. 1–9.
Casamitjana A, Petrone P, Molinuevo JLuis, Gispert JD, Vilaplana V. Projection to Latent Spaces disentangles pathological effects on brain morphology in the asymptomatic phase of Alzheimer’s disease. Frontiers in Neurology, section Applied Neuroimaging. 2020;11.
Casamitjana A, Petrone P, Artigues M, Molinuevo JL, Gispert JD, Vilaplana V. Projection to Latent Spaces Disentangles Specific Cerebral Morphometric Patterns Associated to Aging and Preclinical AD. Alzheimer's & Dementia: The Journal of the Alzheimer's Association . 2018;14(7):P869-P870.
Casamitjana A, Petrone P, Artigues M, Molinuevo JL, Gispert JD, Vilaplana V. Projection to Latent Spaces Disentangles Specific Cerebral Morphometric Patterns Associated to Aging and Preclinical AD. In Alzheimer's Association International Conference. Chicago, USA; 2018.
Canton-Ferrer C, Casas J, Tekalp M, Pardàs M. Projective Kalman Filter: Multiocular Tracking of 3D Locations Towards Scene Understanding. In Machine Learning for Multimodal Interaction. Berlin / Heidelberg: Springer; 2006. pp. 250–261.
Canton-Ferrer C, Canton-Ferrer C, Casas J, Tekalp M, Pardàs M. Projective Kalman Filter: Multiocular Tracking of 3D Locations Towards Scene Understanding. In 2nd Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms. 2005.
Perez-Pellitero E, Salvador J, Ruiz-Hidalgo J, Rosenhahn B. PSyCo: Manifold Span Reduction for Super Resolution. In IEEE Conference on Computer Vision and Pattern Recognition. Las Vegas, Nevada, USA; 2016.  (1.56 MB)
Q
Bonet-Carne E, Palacio M, Cobo T, Perez-Moreno A, Lopez M, Piraquive JP, et al.. Quantitative Ultrasound Texture Analysis of Fetal Lungs To Predict Neonatal Respiratory Morbidity. Ultrasound in Obstetrics and Gynecology, Wiley. 2014;44.
Bonet-Carne E, Palacio M, Cobo T, Perez-Moreno A, Lopez M, Piraquive JP, et al.. Quantitative Ultrasound Texture Analysis of Fetal Lungs To Predict Neonatal Respiratory Morbidity. Ultrasound in Obstetrics and Gynecology, Wiley. 2014;44.
Bonet-Carne E, Palacio M, Cobo T, Perez-Moreno A, Lopez M, Piraquive JP, et al.. Quantitative Ultrasound Texture Analysis of Fetal Lungs To Predict Neonatal Respiratory Morbidity. Ultrasound in Obstetrics and Gynecology, Wiley. 2015;45(4):427–433.
Bonet-Carne E, Palacio M, Cobo T, Perez-Moreno A, Lopez M, Piraquive JP, et al.. Quantitative Ultrasound Texture Analysis of Fetal Lungs To Predict Neonatal Respiratory Morbidity. Ultrasound in Obstetrics and Gynecology, Wiley. 2014;44.
Bonet-Carne E, Palacio M, Cobo T, Perez-Moreno A, Lopez M, Piraquive JP, et al.. Quantitative Ultrasound Texture Analysis of Fetal Lungs To Predict Neonatal Respiratory Morbidity. Ultrasound in Obstetrics and Gynecology, Wiley. 2015;45(4):427–433.
Bonet-Carne E, Palacio M, Cobo T, Perez-Moreno A, Lopez M, Piraquive JP, et al.. Quantitative Ultrasound Texture Analysis of Fetal Lungs To Predict Neonatal Respiratory Morbidity. Ultrasound in Obstetrics and Gynecology, Wiley. 2015;45(4):427–433.

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