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D
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)
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)
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. In Alzheimer's Association International Conference. 2019.
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)
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)
C
Oliveras A. Contribució a l'anàlisi morfològica d'imatges amb operadors connexes. Salembier P. Universitat Politècnica de Catalunya (UPC); 1997.
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.
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.
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)
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)
B
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.
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.
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)
A
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)
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)
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)

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