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A
Salembier P, Oliveras A, Garrido L. Antiextensive connected operators for image and sequence processing. IEEE transactions on image processing. 1998;7:555–570.  (487.58 KB)
Garrido L, Salembier P, Oliveras A. Anti-extensive Connected Operators with Application to Image Sequences. In VII Simposium Nacional de Reconocimiento de Formas y Análisis de Imágenes. Barcelona, Spain; 1997. pp. 151–156.  (228.46 KB)
Górriz M, Antony J, McGuinness K, Giró-i-Nieto X, O'Connor N. Assessing Knee OA Severity with CNN attention-based end-to-end architectures. In International Conference on Medical Imaging with Deep Learning (MIDL) 2019. London, United Kingdom: JMLR; 2019.  (3.1 MB)
B
Mohedano E, Salvador A, McGuinness K, Giró-i-Nieto X, O'Connor N, Marqués F. Bags of Local Convolutional Features for Scalable Instance Search. In ACM International Conference on Multimedia Retrieval (ICMR). New York City, NY; USA: ACM; 2016.  (3.73 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. In Alzheimer's Association International Conference. 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 stratified by sex. eLife. 2023;12.
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.
C
Bonet D, Ortega A, Ruiz-Hidalgo J, Shekkizhar S. Channel Redundancy and Overlap in Convolutional Neural Networks with Channel-Wise NNK Graphs. In International Conference on Acoustics, Speech and Signal Processing. 2022.  (1.13 MB)
Bonet D, Ortega A, Ruiz-Hidalgo J, Shekkizhar S. Channel-Wise Early Stopping without a Validation Set via NNK Polytope Interpolation. In Asia Pacific Signal and Information Processing Association Annual Summit, APSIPA. Tokyo, Japan; 2021.  (995.84 KB)
Petrone P, Casamitjana A, Falcon C, Artigues M, Operto G, Skouras S, et al.. Characteristic Brain Volumetric Changes in the AD Preclinical Signature. In Alzheimer's Association International Conference. Chicago, USA; 2018.
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.
Waibel A, Stiefelhagen R, Carlson R, Casas J, Kleindienst J, Lamel L, et al.. Computers in the Human Interaction Loop. In Handbook on Ambient Intelligence and Smart Environments (AISE). Boston, MA: Springer; 2010. pp. 1071–1116.
Oliveras A. Contribució a l'anàlisi morfològica d'imatges amb operadors connexes. Salembier P. Universitat Politècnica de Catalunya (UPC); 1997.
D
Gomez P, Mohedano E, McGuinness K, Giró-i-Nieto X, O'Connor N. Demonstration of an Open Source Framework for Qualitative Evaluation of CBIR Systems. In ACM Multimedia. Seoul, South Korea: ACM; 2018.  (11.05 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)
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).
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.  (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)
Marsden M, Mohedano E, McGuinness K, Calafell A, Giró-i-Nieto X, O'Connor N, et al.. Dublin City University and Partners' Participation in the INS and VTT Tracks at TRECVid 2016. In TRECVID Workshop 2016. Gaithersburg, MD, USA; 2016.
E
Gasull A, Sayrol E, Moreno A, Vallverdu F, Salavedra J, Oliveras A. Editor gráfico de figuras MATLAB. In III Congreso de Usuarios de MATLAB. 1999. pp. 219–227.
Bellot P, Meyer P. Efficient Combination of Pairwise Feature Networks. In: Battaglia D, Guyon I, Lemaire V, Orlandi J, Ray B, Soriano J. Neural Connectomics Challenge. Springer International Publishing; 2017.
Oliveras A, Espel-Masferrer E. Elevated basal hepcidin levels in the liver may inhibit the development of malaria infection: Another piece towards solving the malaria puzzle?. Medical hypotheses. 2008;70:630–634.
Bosio M, Salembier P, Oliveras A, Bellot P. Ensemble learning and hierarchical data representation for microarray classification. In 13th IEEE International Conference on BioInformatics and BioEngineering BIBE. Chania, Crete: 13th IEEE International Conference on BioInformatics and BioEngineering,; 2013.  (241.56 KB)

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