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2020
Giró-i-Nieto X, Ventura C. Image Segmentation with Deep Learning. 2020.
Casamitjana A, Vilaplana V, Puch S, Aduriz A, Lopez C, Operto G, et al.. NeAT: a nonlinear analysis toolbox for neuroimaging. Neuroinformatics. 2020;.
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.
Salgueiro L, Marcello J, Vilaplana V. Super-Resolution of Sentinel-2 Imagery Using Generative Adversarial Networks. Remote Sensing. 2020;12(15).
Combalia M, Hueto F, Puig S, Malvehy J, Vilaplana V. Uncertainty Estimation in Deep Neural Networks for Dermoscopic Image Classification. In CVPR 2020, ISIC Skin Image Analysis Workshop. 2020.
Moliner E, Salgueiro L, Vilaplana V. Weakly Supervised Semantic Segmentation for Remote Sensing Hyperspectral Imaging. In International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020). 2020.
2021
Cumplido-Mayoral I, Shekari M, Salvadó G, Operto G, Cacciaglia R, Falcon C, et al.. Brain structural alterations in cognitively unimpaired individuals with discordant amyloid-β PET and CSF Aβ42 status: findings using Machine Learning. In Alzheimer's Association International Conference. 2021.
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.
Duarte A, Palaskar S, Ventura L, Ghadiyaram D, DeHaan K, Metze F, et al.. How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language. In CVPR 2021. 2021.  (5.94 MB)
Hernandez C, Kiroglu A, García S, Ficapal J, Burgos J, Podlipnik S, et al.. Implementation of personalized medicine in cutaneous melanoma patients aided by artificial intelligence. In 10th World Congress of2 Melanoma / 17th EADO Congress. 2021.
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.
Mora L, Vilaplana V. MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures. In Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2020. Springer International Publishing; 2021. pp. 376-390.
Giró-i-Nieto X, Ventura C. Object Detection with Deep Learning. 2021.
Escobar M. Object Model Adaptation for Multiple Object Tracking. Girbau A, Ventura C, Giró-i-Nieto X, Marqués F. 2021 .  (785.3 KB)
Podlipnik S, Hernandez C, Kiroglu A, García S, Ficapal J, Burgos J, et al.. Personalized medicine in melanoma patients aided by artificial intelligence. In Clinical Translation of Medical Image Computing and Computer Assisted Interventions (CLINICCAI) Workshop at MICCAI. 2021.
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.
Mañas O, Lacoste A, Giró-i-Nieto X, Vazquez D, Rodríguez P. Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data. In International Conference in Computer Vision (ICCV). Virtual: IEEE/CVF; 2021.  (1.79 MB)
Salgueiro L, Marcello J, Vilaplana V. Single-image super-resolution of Sentinel-2 low resolution bands with residual dense convolutional neural networks. Remote Sensing. 2021;13(24):5007.
Puig-Sitjes A, Casas J, Salembier P, Vizcarro D, Clemente R, Jakubowski M, et al.. Spatio-temporal Detection and Tracking of Thermal Events on the Plasma Facing Components of Wendelstein 7-X. In 4th IAEA Technical Meeting on Fusion Data Processing, Validation and Analysis. Shanghai (online): iaea.org; 2021.
Kazakos I, Bellver-Bueno M, Ventura C, Silberer C, Giró-i-Nieto X. SynthRef: Generation of Synthetic Referring Expressions for Object Segmentation. In NAACL Visually Grounded Interaction and Language (ViGIL) Workshop. Virtual; 2021.  (794.97 KB)
2022
Combalia M, Podlipnik S, Hernandez C, García S, Ficapal J, Burgos J, et al.. Artificial intelligence to predict positivity of sentinel lymph node biopsy in melanoma patients. In European Association of Dermato Oncology (EADO 2022). 2022.
Cumplido-Mayoral I, Mila-Aloma M, Lorenzini L, Wink AMeije, Mutsaerts H, Haller S, et al.. Biological brain age prediction using machine learning on structural neuroimaging data: Multi-cohort validation against biomarkers of Alzheimer’s disease and neurodegeneration stratified by sex. In 15th Clinical Trials on Alzheimer’s Disease Conference (CTAD). San Francisco, USA; 2022.
Cumplido-Mayoral I, García-Prat M, Operto G, Falcon C, Shekari M, Cacciaglia R, et al.. Biological Brain Age Prediction Using Machine Learning on Structural Neuroimaging Data: Multi-Cohort Validation Against Biomarkers of Alzheimer’s Disease and Neurodegeneration. In Alzheimer's Association International Conference. 2022.
Hernandez C, Combalia M, Puig S, Malvehy J, Vilaplana V. Contrastive and attention-based multiple instance learning for the prediction of sentinel lymph node status from histopathologies of primary melanoma tumours. In Cancer Prevention through early detecTion (Caption) Workshop at 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022). 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).  (5.87 MB)

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