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Evolved artificial neural networks for controlling Topological Active Nets deformation and for medical image segmentation.

C. Sierra, J. Novo, J. Reyes, и M. Penedo. KES, том 243 из Frontiers in Artificial Intelligence and Applications, стр. 1380-1389. IOS Press, (2012)

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Nelson Penedo

Sybille Prochnow Penedo

Manuel

Giuseppe G G Manzardo

G Lüers

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Interest Operator Analysis for Automatic Assessment of Spontaneous Gestures in Audiometries.A. Fernández, J. Marey, M. Ortega, и M. Penedo. ICAART (1), стр. 221-229. SciTePress, (2014)CT Image Segmentation by Self-Organizing Learning.D. Cabello, M. Penedo, S. Barro, X. López, и J. Heras. IWANN, том 686 из Lecture Notes in Computer Science, стр. 651-656. Springer, (1993)Automatic ECG Screening as a Supporting Tool on a Telemedicine Framework.V. Mondéjar-Guerra, J. Novo, J. Rouco, M. Ortega, и M. Penedo. EUROCAST (2), том 12014 из Lecture Notes in Computer Science, стр. 289-296. Springer, (2019)Genetic-Greedy Hybrid Approach for Topological Active Nets Optimization.J. Reyes, Ó. Ibáñez, N. Barreira, и M. Penedo. ICANNGA (1), том 4431 из Lecture Notes in Computer Science, стр. 202-210. Springer, (2007)Automatic Drusen Detection from Digital Retinal Images: AMD Prevention.B. Remeseiro, N. Barreira, D. Calvo, M. Ortega, и M. Penedo. EUROCAST, том 5717 из Lecture Notes in Computer Science, стр. 187-194. Springer, (2009)Similarity Metrics Analysis for Feature Point Based Retinal Authentication.M. Ortega, M. Penedo, C. Mariño, и M. Carreira. ICIAR, том 5112 из Lecture Notes in Computer Science, стр. 1023-1032. Springer, (2008)Automatic Identification of Intraretinal Cystoid Regions in Optical Coherence Tomography.J. de Moura, J. Novo, J. Rouco, M. Penedo, и M. Ortega. AIME, том 10259 из Lecture Notes in Computer Science, стр. 305-315. Springer, (2017)Automatic Vessel Shade-Robust Segmentation of Retinal Layers in OCT Images.A. González-López, M. Ortega, M. Penedo, и P. Charlón. InMed, том 207 из Studies in Health Technology and Informatics, стр. 47-54. IOS Press, (2014)Automatic identification of vessel crossovers in retinal images.L. Brea, N. Barreira, M. Penedo, и B. Cancela. ICMV, том 9445 из SPIE Proceedings, стр. 94451G. SPIE, (2014)Robust Deep Learning-Based Approach for Retinal Layer Segmentation in Optical Coherence Tomography Images.A. Budiño, L. Ramos, J. de Moura, J. Novo, M. Penedo, и M. Ortega. EUROCAST, том 13789 из Lecture Notes in Computer Science, стр. 427-434. Springer, (2022)

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