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Journal Article
Cuadras C, Valero S, Cuadras D, Salembier P, Chanussot J. Distance-based measures of association with applications in relating hyperspectral images. Communications in Statistics - Theory and Method. 2012;41:2342–2355.  (296.22 KB)
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)
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)
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)
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)
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).
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)
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)
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)
Pujol-Miró A, Casas J, Ruiz-Hidalgo J. Correspondence matching in unorganized 3D point clouds using Convolutional Neural Networks. Image and Vision Computing. 2019;83-84.  (3.95 MB)
Casas J, Torres L. Coding of details in very low bit-rate video systems. IEEE transactions on circuits and systems for video technology. 1994;4(3):317–327.  (1.51 MB)
Martínez PA, Lin X, Castelán M, Casas J, Arechavaleta G. A closed-loop approach for tracking a humanoid robot using particle filtering and depth data. Intelligent Service Robotics. 2017;10(4):297–312.  (88.92 KB)
Martínez PA, Lin X, Castelán M, Casas J, Arechavaleta G. A closed-loop approach for tracking a humanoid robot using particle filtering and depth data. Intelligent Service Robotics. 2017;10(4):297–312.  (88.92 KB)
Mostefa D, Moreau N, Choukri K, Potamianos G, Chu S, Tyagi A, et al.. The CHIL Audiovisual Corpus for Lecture and Meeting Analysis inside Smart Rooms. Language resources and evaluation. 2007;41(3):389–407.
Mostefa D, Moreau N, Choukri K, Potamianos G, Chu S, Tyagi A, et al.. The CHIL Audiovisual Corpus for Lecture and Meeting Analysis inside Smart Rooms. Language resources and evaluation. 2007;41(3):389–407.
Mostefa D, Moreau N, Choukri K, Potamianos G, Chu S, Tyagi A, et al.. The CHIL Audiovisual Corpus for Lecture and Meeting Analysis inside Smart Rooms. Language resources and evaluation. 2007;41(3):389–407.
Mostefa D, Moreau N, Choukri K, Potamianos G, Chu S, Tyagi A, et al.. The CHIL Audiovisual Corpus for Lecture and Meeting Analysis inside Smart Rooms. Language resources and evaluation. 2007;41(3):389–407.
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.
Solé A, Mosella-Montoro A, Cardona J, Gómez-Coca S, Aravena D, Ruiz E, et al.. A Cartesian Encoding Graph Neural Network for Crystal Structures Property Prediction: Application to Thermal Ellipsoid Estimation. Digital Discovery. 2025;.  (10.39 MB)
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 stratified by sex. eLife. 2023;12.
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 stratified by sex. eLife. 2023;12.
Wang L, Nie D, Li G, Puybareau E, Dolz J, Zhang Q, et al.. Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge. IEEE Transactions on Medical Imaging. 2019;.
Wang L, Nie D, Li G, Puybareau E, Dolz J, Zhang Q, et al.. Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge. IEEE Transactions on Medical Imaging. 2019;.
Hernandez C, Combalia M, Podlipnik S, Codella NCF, Rotemberg V, Halpern AC, et al.. Bcn20000: Dermoscopic lesions in the wild. Nature - Scientific Data. 2024;11.

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