Publications

Journal Articles

Book Chapters & Books

Conference Papers

Journal Articles

2021
Mosella-Montoro A, Ruiz-Hidalgo J. 2D–3D Geometric Fusion network using Multi-Neighbourhood Graph Convolution for RGB-D indoor scene classification. Information Fusion. 2021;76. DOI Google Scholar BibTex (771.86 KB)

2020
Rey-Arena M, Guirado E, Tabik S, Ruiz-Hidalgo J. FuCiTNet: Improving the generalization of deep learning networks by the fusion of learned class-inherent transformations. Information Fusion. 2020;63(195). DOI Google Scholar BibTex (366.22 KB)
Bellver M, Salvador A, Torres J, Giró-i-Nieto X. Mask-guided sample selection for Semi-Supervised Instance Segmentation. Multimedia Tools and Applications. 2020;. DOI Google Scholar BibTex (2.2 MB)
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. Google Scholar BibTex
Gené-Mola J, Sanz R, Rosell-Polo JR, Morros JR, Ruiz-Hidalgo J, Vilaplana V, et al.. Fuji-SfM dataset: A collection of annotated images and point clouds for Fuji apple detection and location using structure-from-motion photogrammetry. 2020;Data in Brief(Vol. 30). DOI Google Scholar BibTex

Book Chapters & Books top

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. DOI Google Scholar BibTex

2019
Bellot P, Salembier P, Pham NC, Meyer PE. Unsupervised GRN Ensemble. In Sanguinetti G., Huynh-Thu V. (eds) Methods in Molecular Biology . New York, NY: Springer science, Humana Press; 2019. pp. 283-302. DOI Google Scholar BibTex

2018
Casamitjana A, Vilaplana V, Petrone P, Molinuevo JLuis, Gispert JD. Shared Latent Structures Between Imaging Features and Biomarkers in Early Stages of Alzheimer’s Disease. In PRedictive Intelligence in MEdicine. Springer International Publishing; 2018. pp. 60-67. DOI Google Scholar BibTex
Górriz M, Aparicio A, Raventós B, Vilaplana V, Sayrol E, López-Codina D. Leishmaniasis Parasite Segmentation and Classification Using Deep Learning. In Articulated Motion and Deformable Objects. Springer International Publishing; 2018. pp. 53-62. DOI Google Scholar BibTex
Combalia M, Vilaplana V. Monte-Carlo Sampling Applied to Multiple Instance Learning for Histological Image Classification. In Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support. Springer International Publishing; 2018. pp. 274-281. DOI Google Scholar BibTex

Conference Papers top

2021
Geleta M, Mas-Montserrat D, Bustamante C, Giró-i-Nieto X, Ioannidis AG. Deep variational autoencoders for population genetics: applications in classification, imputation, dimensionality reduction, and novel lossless data compression. In American Society of Human Genetics (ASHG). Virtual: ASHG; 2021. Google Scholar BibTex
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. Google Scholar BibTex
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. Google Scholar BibTex
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. Google Scholar BibTex
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. Google Scholar BibTex

Theses top

2021
Bellver M. Image and Video Object Segmentation in Low Supervision Scenarios. Torres J, Giró-i-Nieto X. Computer Architectures. [Barcelona]: Universitat Politecnica de Catalunya; 2021. Google Scholar BibTex
Girbau A. Sports broadcasting and multiple object tracking with deep learning methods. Rius I, Giró-i-Nieto X, Marqués F. Signal Theory and Communications. 2021. Google Scholar BibTex

2020
Campos V. Deep Learning that Scales: Leveraging Compute and Data. Torres J, Giró-i-Nieto X. Computer Architecture. [Barcelona, Catalonia]: Universitat Politècnica de Catalunya; 2020. Google Scholar BibTex (8.55 MB)
Pujol-Miró A. Learning to extract features for 2D-3D multimodal registration. Casas J, Ruiz-Hidalgo J. Universitat Politècnica de Catalunya (UPC); 2020. Google Scholar BibTex (14.22 MB)

2019
Casamitjana A. Study of early stages of Alzheimer’s disease using magnetic resonance imaging. Vilaplana V. Signal Theory and Communications. [Barcelona]: Universitat Politècnica de Catalunya; 2019. Google Scholar BibTex

Other top

Submitted
Oriol B. Species-agnostic Local Ancestry Inference on Genomic Data with Convolutions. Mas-Montserrat D, Ioannidis AG, Giró-i-Nieto X. Submitted. Google Scholar BibTex	Ms Thesis

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 . Google Scholar BibTex (340.44 KB)	Report
Bonet D. Improved Neural Network Generalization using Channel-Wise NNK Graph Constructions. Ortega A, Ruiz-Hidalgo J, Shekkizhar S. Final Year Project, UPC; 2021 . Google Scholar BibTex (3.67 MB)	Report
Geleta M. Unsupervised learning with applications in genomic. Mas-Montserrat D, Ioannidis AG, Giró-i-Nieto X. 2021. Google Scholar BibTex	Ms Thesis
Caselles P. Disentangling neural network structure from the weights space. Schürholt K, Borth D, Giró-i-Nieto X. 2021. Google Scholar BibTex (17.1 MB)	Ms Thesis