Search Publication

Export 500 results:
Author [ Title(Desc)] Type Year
Filters: First Letter Of Last Name is C  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
D
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.  (8.55 MB)
Lin X, Sanchez-Escobedo D, Casas J, Pardàs M. Depth Estimation and Semantic Segmentation from a Single RGB Image Using a Hybrid Convolutional Neural Network. Sensors. 2019;19(8).  (4.75 MB)
Salembier P, Richard Q, O'Connor N, Correia P, Sezan I, van Beek P. Description Schemes for Video Programs, Users and Devices. Signal processing: image communication. 2000;16:211–234.  (879.4 KB)
Carné-Herrera M. Detect Snap Points in Egocentric Images with Physiological Signals. Gurrin C, Giró-i-Nieto X. 2016.  (4.63 MB)
Suau X, Ruiz-Hidalgo J, Casas J. Detecting End-Effectors on 2.5D data using Geometric Deformable Models: Application to Human Pose Estimation. Computer Vision and Image Understanding (CVIU). 2013;117(3).  (1.44 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. 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).
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).
Sayrol E, Soriano M, Fernandez M, Casanelles J, Tomàs J. Development of a platform offering video copyright protection and security against illegal distribution. In Security, Steganography, and Watermarking of Multimedia Contents. 2005. pp. 76–83.
Aguilar M, Alcober J, Altes J, Aragones X, Artigas D, Bardes D, et al.. Diccionari de Telecomunicacions. 2007.
Aguilar M, Alcober J, Altes J, Aragones X, Artigas D, Bardes D, et al.. Diccionari de Telecomunicacions. 2007.
Aguilar M, Alcober J, Altes J, Aragones X, Artigas D, Bardes D, et al.. Diccionari de Telecomunicacions. 2007.
Aguilar M, Alcober J, Altes J, Aragones X, Artigas D, Bardes D, et al.. Diccionari de Telecomunicacions. 2007.
Aguilar M, Alcober J, Altes J, Aragones X, Artigas D, Bardes D, et al.. Diccionari de Telecomunicacions. 2007.
Aguilar M, Alcober J, Altes J, Aragones X, Artigas D, Bardes D, et al.. Diccionari de Telecomunicacions. 2007.
Aguilar M, Alcober J, Altes J, Aragones X, Artigas D, Bardes D, et al.. Diccionari de Telecomunicacions. 2007.
Salembier P, O'Connor N, Correa P, Ward L. The DICEMAN description schemes for still images and video sequences. In Workshop on Image Analysis for Multimedia Application Services, WIAMIS’99. Berlin, Germany; 1999. pp. 25–34.  (718.69 KB)
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.
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.
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.
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.
Nieto JJosé. Discovery and Learning of Navigation Goals from Pixels in Minecraft. Campos V, Giró-i-Nieto X. 2021.  (16.15 MB)
Casas J, Torres L. Diseño de filtros de imagen con funciones de transferencia. In VI Simposium Nacional de la Unión Científica Internacional de Radio. 1991. pp. 965–969.

Pages