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Ms Thesis
Castelló DRodríguez. Extracción de cráneo en imágenes de resonancia magnética del cerebro utilizando una red neuronal convolucional 3D. Casamitjana A, Vilaplana V. 2017.
Comas A. Exploring Methods for Enhancing Linear Prediction of Video Sequences. Camps O, Giró-i-Nieto X. 2019.
Comas A. Exploring Methods for Enhancing Linear Prediction of Video Sequences. Camps O, Giró-i-Nieto X. 2019.
Escur J. Exploring Automatic Speech Recognition with TensorFlow. Costa-jussà MR, Giró-i-Nieto X. 2018.  (829.82 KB)
Chertó M. EgoMon Gaze and Video Dataset for Visual Saliency Prediction. Gurrin C, Giró-i-Nieto X. 2016.  (1.48 MB)
Caselles P. Disentangling neural network structure from the weights space. Schürholt K, Borth D, Giró-i-Nieto X. 2021.  (17.1 MB)
Nieto JJosé. Discovery and Learning of Navigation Goals from Pixels in Minecraft. Campos V, Giró-i-Nieto X. 2021.  (16.15 MB)
Carné-Herrera M. Detect Snap Points in Egocentric Images with Physiological Signals. Gurrin C, Giró-i-Nieto X. 2016.  (4.63 MB)
Salvador A. Crowdsourced Object Segmentation with a Game. Giró-i-Nieto X, Carlier A, Charvillat V, Marques O. 2013.  (1.34 MB)
Salvador A. Crowdsourced Object Segmentation with a Game. Giró-i-Nieto X, Carlier A, Charvillat V, Marques O. 2013.  (1.34 MB)
Cabezas F. Co-filtering human interaction and object segmentation. Carlier A, Salvador A, Giró-i-Nieto X, Charvillat V. 2015.  (1.82 MB)
Cabezas F. Co-filtering human interaction and object segmentation. Carlier A, Salvador A, Giró-i-Nieto X, Charvillat V. 2015.  (1.82 MB)
Cabezas F. Co-filtering human interaction and object segmentation. Carlier A, Salvador A, Giró-i-Nieto X, Charvillat V. 2015.  (1.82 MB)
Fernàndez D. Clustering and Prediction of Adjective-Noun Pairs for Affective Computing. Campos V, Jou B, Giró-i-Nieto X, Chang S-F. 2016.  (10.38 MB)
Fernàndez D. Clustering and Prediction of Adjective-Noun Pairs for Affective Computing. Campos V, Jou B, Giró-i-Nieto X, Chang S-F. 2016.  (10.38 MB)
Tarrés L. Clasificación de lesiones de piel con un ensemble de redes neuronales residuales. Vilaplana V, Combalia M. 2019.
Pelegrí JBustos. Clasificación de imágenes histológicas mediante redes neuronales convolucionales. Combalia M, Vilaplana V. 2018.
Roselló CBonín. Brain lesion segmentation using Convolutional Neuronal Networks. Casamitjana A, Vilaplana V. 2018.  (3.15 MB)
Górriz M. Active Deep Learning for Medical Imaging Segmentation. Giró-i-Nieto X, Carlier A, Faure E. 2017.  (2.84 MB)
Journal Article
Schelkens P, Munteanu A, Barbarien J, Galca M, Giró-i-Nieto X, Cornelis J. Wavelet coding of volumetric medical datasets. Medical Imaging, IEEE Transactions on. 2003;22:441 -458.
Tochon G, Féeret JB, Valero S, Martin RE, Knapp DE, Salembier P, et al.. On the use of binary partition trees for the tree crown segmentation of tropical rainforest hyperspectral images. Remote Sensing of Environment. 2015;159:318-331.  (3.06 MB)
de Craene M, Macq B, Marqués F, Salembier P, Warfield S. Unbiased group-wise alignment by iterative central tendency estimations. Mathematical modeling of natural phenomena. 2008;3:2–32.
Comas D, Singh R, Ortega A, Marqués F. Unbalanced multiple description video coding based on a rate-distortion optimization. Eurasip Journal on Applied Signal Processing. 2003;2003:81–90.
Chang C, Pardàs M, Marqués F. Trajectory tree as an object-oriented hierarchical representation for video. IEEE transactions on circuits and systems for video technology. 2009;19:547–560.
Lin X, Casas J, Pardàs M. Temporally Coherent 3D Point Cloud Video Segmentation in Generic Scenes. IEEE Transactions on Image Processing. 2018;27(6):3087 - 3099.  (24.37 MB)

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