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2023
Cumplido-Mayoral I, Brugulat-Serrat A, Sánchez-Benavides G, González-Escalante A, Anastasi F, Mila-Aloma M, et al.. Brain-age mediates the association between modifiable risk factors and cognitive decline early in the AD continuum. In Alzheimer’s Association International Conference (AAIC). Amsterdam, Netherlands; 2023.
Pardàs M, Anglada D, Espina M, Marques F, Salembier P. Stromal tissue segmentation in Ki67 histology images based on cytokeratin-19 stain translation. JOURNAL OF MEDICAL IMAGING. 2023;10(3).  (13.78 MB)
2022
Temprana-Salvador J, López-García P, Vives JCastellví, de Haro L, Ballesta E, Abusleme MRojas, et al.. DigiPatICS: Digital Pathology Transformation of the Catalan Health Institute Network of 8 Hospitals - Planification, Implementation and Preliminary Results. Diagnostics. 2022;12(4).
Temprana-Salvador J, López-García P, Vives JCastellví, de Haro L, Ballesta E, Abusleme MRojas, et al.. DigiPatICS: Digital Pathology Transformation of the Catalan Health Institute Network of 8 Hospitals - Planification, Implementation and Preliminary Results. Diagnostics. 2022;12(4).
Terradas R, Domingo P, Grau M, Alarcón E, Ruiz-Hidalgo J. A method, system and computer programs to automatically transform an image. European Patent Office. 2022.
Metha R, Filos A, Baid U, Mora L, Vilaplana V, Davatzikos C, et al.. QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation--Analysis of Ranking Metrics and Benchmarking Results. Journal of Machine Learning for Biomedical Imaging. 2022;.
Duarte A, Albanie S, Giró-i-Nieto X, Varol G. Sign Language Video Retrieval with Free-Form Textual Queries. In CVPR 2022 - CVF/IEEE Conference on Computer Vision and Pattern Recognition. 2022.  (3.22 MB)
2021
Aguilar J. 2D-to-3D Lifting of Sign Language Body Poses with Recurrent Neural Networks. Giró-i-Nieto X, Duarte A. Barcelona: UPC ETSETB TelecomBCN; 2021 .  (340.44 KB)
Abadal S, Salgueiro L, Marcello J, Vilaplana V. A Dual Network for Super-Resolution and Semantic Segmentation of Sentinel-2 imagery. Remote Sensing. 2021;13(22):4547.
Cumplido-Mayoral I, Salvadó G, Shekari M, Falcon C, Alomà MMilà, Baizán ANiñerola, et al.. Machine learning on combined neuroimaging and plasma biomarkers for triaging participants of secondary prevention trials in Alzheimer’s Disease. In Alzheimer's Association International Conference. 2021.
2020
Specia L, Barrault L, Caglayan O, Duarte A, Elliott D, Gella S, et al.. Grounded Sequence to Sequence Transduction. IEEE Journal of Selected Topics in Signal Processing. 2020;14(3):577-591.
Casamitjana A, Vilaplana V, Puch S, Aduriz A, Lopez C, Operto G, et al.. NeAT: a nonlinear analysis toolbox for neuroimaging. Neuroinformatics. 2020;.
Puig-Sitjes A, Jakubowski M, Fellinger J, Drewelow P, Gao Y, Niemann H, et al.. Strategy for the real-time detection of thermal events on the plasma facing components of Wendelstein 7-X. In 31st Symposium on Fusion Technology (SOFT2020). Dubrovnik, Croatia; 2020.
Puig-Sitjes A, Jakubowski M, Fellinger J, Drewelow P, Gao Y, Niemann H, et al.. Strategy for the real-time detection of thermal events on the plasma facing components of Wendelstein 7-X. In 31st Symposium on Fusion Technology (SOFT2020). Dubrovnik, Croatia; 2020.
2019
Górriz M, Antony J, McGuinness K, Giró-i-Nieto X, O'Connor N. Assessing Knee OA Severity with CNN attention-based end-to-end architectures. In International Conference on Medical Imaging with Deep Learning (MIDL) 2019. London, United Kingdom: JMLR; 2019.  (3.1 MB)
Casamitjana A, Petrone P, Falcon C, Artigues M, Operto G, Cacciaglia R, et al.. Detection of Amyloid Positive Cognitively unimpaired individuals using voxel-based machine learning on structural longitudinal brain MRI. In Alzheimer's Association International Conference. 2019.
Casamitjana A, Petrone P, Falcon C, Artigues M, Operto G, Cacciaglia R, et al.. Detection of Amyloid-Positive Cognitively Unimpaired Individuals Using Voxel-Based Machine Learning on Structural Longitudinal Brain MRI. Alzheimer's & Dementia. 2019;15(754).
Roisman A, Navarro A, Clot G, Castellano G, Gonzalez-Farre B, Pérez-Galan P, et al.. Differential expression of long non-coding RNAs related to proliferation and histological diversity in follicular lymphomas. British Journal of Haematology. 2019;184(3):373-383.  (980.9 KB)
Combalia M, Pérez-Anker J, García-Herrera A, Alos L, Vilaplana V, Marques F, et al.. Digitally Stained Confocal Microscopy through Deep Learning. In International Conference on Medical Imaging with Deep Learning (MIDL 2019). London; 2019.
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.
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.
Kuijf H, Biesbroek M, de Bresser J, Heinen R, Andermatt S, Bento M, et al.. Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities; Results of the WMH Segmentation Challenge. IEEE Transactions on Medical Imaging. 2019;.
2018
Artigot JMartínez. Automatic fruit classification using deep learning. Morros JRamon, Vilaplana V. 2018.
Petrone P, Casamitjana A, Falcon C, Artigues M, Operto G, Skouras S, et al.. Characteristic Brain Volumetric Changes in the AD Preclinical Signature. In Alzheimer's Association International Conference. Chicago, USA; 2018.
Petrone P, Casamitjana A, Falcon C, Artigues M, Operto G, Skouras S, et al.. Characteristic Brain Volumetric Changes in the AD Preclinical Signature. Alzheimer's & Dementia: The Journal of the Alzheimer's Association. 2018;14(7):P1235.

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