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Miguel Guevara 0001
Person information
- affiliation: University of Minho, Computer Graphics Center (CCG), Braga, Portugal
Other persons with the same name
- Miguel Guevara — disambiguation page
- Miguel Guevara 0002
(aka: Miguel R. Guevara, Miguel R. Guevara Albornoz) — Playa Ancha University, Valparaíso, Chile (and 2 more)
- Miguel Guevara 0003 — University of Concepción, Faculty of Engineering, Chile
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2020 – today
- 2024
- [c24]José Rubén Pozo Pérez
AOI for automotive industry - a quality assessment approach combining 2D and 3D sensors. Web3D 2024: 8:1-8:8 - [e1]Luís Gonzaga Magalhães, Jorge Posada, Miguel Guevara, Augusto Sousa, Traian Lavric:
Proceedings of the 29th International ACM Conference on 3D Web Technology, WEB3D 2024, Guimarães, Portugal, September 25-27, 2024. ACM 2024, ISBN 979-8-4007-0689-9 [contents] - 2023
- [j14]João Nuno Centeno Raimundo
An Innovative Faster R-CNN-Based Framework for Breast Cancer Detection in MRI. J. Imaging 9(9): 169 (2023) - [j13]Telmo Adão
Empowering Deaf-Hearing Communication: Exploring Synergies between Predictive and Generative AI-Based Strategies towards (Portuguese) Sign Language Interpretation. J. Imaging 9(11): 235 (2023) - [j12]Paolo Rota
Editorial for the Special Issue on Industrial Machine Learning Applications. J. Imaging 9(12): 278 (2023) - [c23]Somayeh Shahrabadi, João Carias, Emanuel Peres
Image-based Lung Analysis in the Context of Digital Pathology: a Brief Review. CENTERIS/ProjMAN/HCist 2023: 2168-2175 - [c22]Somayeh Shahrabadi, José Rodrigues, Iara Margolis, Luis Evangelista, Nuno J. Sousa
Digital Tools for Aircraft Maintenance: Prototyping Location-Aware AOI for Engine Assessment and Cable Routing Solutions. ICGI 2023: 1-11 - 2022
- [c21]José Rubén Pozo Pérez
A cloud-based 3D real-time inspection platform for industry: a case-study focusing automotive cast iron parts. CENTERIS/ProjMAN/HCist 2022: 339-344 - [c20]João Oliveira, Rui Gomes, Dibet Garcia Gonzalez, Nuno Sousa, Somayeh Shahrabadi, Miguel Guevara
Footwear segmentation and recommendation supported by deep learning: an exploratory proposal. CENTERIS/ProjMAN/HCist 2022: 724-735 - 2021
- [j11]Duarte Fernandes
Point-cloud based 3D object detection and classification methods for self-driving applications: A survey and taxonomy. Inf. Fusion 68: 161-191 (2021) - [c19]Dibet Garcia Gonzalez
A Ubiquitous Service-Oriented Automatic Optical Inspection Platform for Textile Industry. CENTERIS/ProjMAN/HCist 2021: 217-225 - [c18]Tiago F. Pereira, Arthur Matta
A web-based Voice Interaction framework proposal for enhancing Information Systems user experience. CENTERIS/ProjMAN/HCist 2021: 235-244 - [c17]Javier Jorge, Germán Moltó, J. Damian Segrelles Quilis, João Pedro Pereira Fontes
Deployment Service for Scalable Distributed Deep Learning Training on Multiple Clouds. CLOSER 2021: 135-142
2010 – 2019
- 2019
- [c16]José Rocha
Inpresso AR: a generic Augmented Book. ICGI 2019: 1-7 - [c15]Gonçalo Pinheiro, Luís Magalhães
Bone age assessment using general use convolutional neural networks. ICGI 2019: 80-85 - 2018
- [j10]Jorge Posada
Graphics and Media Technologies for Operators in Industry 4.0. IEEE Computer Graphics and Applications 38(5): 119-132 (2018) - [c14]Paulo Brito, João Pedro Pereira Fontes
AGATHA: Face Benchmarking Dataset for Exploring Criminal Surveillance Methods on Open Source Data. ICGI 2018: 1-8 - [c13]Gonçalo Pinheiro, Nelson Alves, Luís Magalhães
Scene Reconstruction for Storytelling in 360 ^\circ Videos. INTETAIN 2018: 117-126 - [c12]José Luís Santos, Joni Santos, Manuel João Ferreira, Nelson Alves, Miguel Guevara
Application of the Two-Stage One-Dimensional Cutting Stock Problem in the Steel Industry. ISIE 2018: 683-690 - 2016
- [j9]John Edison Arevalo Ovalle, Fabio A. González, Raúl Ramos-Pollán, José Luís Oliveira
Representation learning for mammography mass lesion classification with convolutional neural networks. Comput. Methods Programs Biomed. 127: 248-257 (2016) - 2015
- [j8]Noel Pérez
Improving the Mann-Whitney statistical test for feature selection: An approach in breast cancer diagnosis on mammography. Artif. Intell. Medicine 63(1): 19-31 (2015) - [c11]John Edison Arevalo Ovalle, Fabio A. González, Raúl Ramos-Pollán, José Luís Oliveira, Miguel Ángel Guevara-López
Convolutional neural networks for mammography mass lesion classification. EMBC 2015: 797-800 - 2014
- [j7]Pedro Cunha, Daniel C. Moura
Impact of Ensemble Learning in the Assessment of Skeletal Maturity. J. Medical Syst. 38(9): 87 (2014) - [c10]Noel Pérez
Improving the performance of machine learning classifiers for Breast Cancer diagnosis based on feature selection. FedCSIS 2014: 209-217 - 2013
- [j6]Daniel C. Moura
An evaluation of image descriptors combined with clinical data for breast cancer diagnosis. Int. J. Comput. Assist. Radiol. Surg. 8(4): 561-574 (2013) - [j5]Pedro Cunha, Miguel Ángel Guevara-López
A method for segmentation of dental implants and crestal bone. Int. J. Comput. Assist. Radiol. Surg. 8(5): 711-721 (2013) - [c9]Daniel Cardoso Moura
Benchmarking Datasets for Breast Cancer Computer-Aided Diagnosis (CADx). CIARP (1) 2013: 326-333 - [c8]Cesar Suarez Ortega, Jose Miguel Franco-Valiente, Manuel Rubio del Solar, Guillermo Díaz-Herrero, Miguel Ángel Guevara-López, Naimy González-de-Posada, Daniel C. Moura, Pedro Cunha, Isabel Ramos, Joana Loureiro, Bruno M. Ferreira de Araújo:
Improving the breast cancer diagnosis using digital repositories. IWBBIO 2013: 571-578 - [c7]Noel Pérez
Improving breast cancer classification with mammography, supported on an appropriate variable selection analysis. Computer-Aided Diagnosis 2013: 867022 - 2012
- [j4]Damià Segrelles, Ignacio Blanquer, José Salavert Torres, Vicente Hernández, Jose Miguel Franco-Valiente, Guillermo Díaz-Herrero, Raúl Ramos-Pollán, Rosana Medina, Luis Martí-Bonmatí, Miguel Ángel Guevara-López, Naymi González, Joana Loureiro, Isabel Ramos:
Exchanging Data for Breast Cancer Diagnosis on Heterogeneous Grid Platforms. Comput. Informatics 31(1): 3-15 (2012) - [j3]Raúl Ramos-Pollán, Miguel Ángel Guevara-López
A Software Framework for Building Biomedical Machine Learning Classifiers through Grid Computing Resources. J. Medical Syst. 36(4): 2245-2257 (2012) - [j2]Raúl Ramos-Pollán, Miguel Ángel Guevara-López
Discovering Mammography-based Machine Learning Classifiers for Breast Cancer Diagnosis. J. Medical Syst. 36(4): 2259-2269 (2012) - 2010
- [j1]Camino Balbuena, Miguel A. Guevara:
Kernels and partial line digraphs. Appl. Math. Lett. 23(10): 1218-1220 (2010) - [c6]Raúl Ramos-Pollán, Miguel Ángel Guevara-López
Introducing ROC Curves as Error Measure Functions: A New Approach to Train ANN-Based Biomedical Data Classifiers. CIARP 2010: 517-524
2000 – 2009
- 2008
- [c5]Yosvany López
Computer Aided Diagnosis System to Detect Breast Cancer Pathological Lesions. CIARP 2008: 453-460 - 2007
- [c4]Noel Pérez, José A. Valdés, Miguel A. Guevara
Set of Methods for Spontaneous ICH Segmentation and Tracking from CT Head Images. CIARP 2007: 212-220 - [c3]Yosvany López
Breast Cancer Diagnosis Based on a Suitable Combination of Deformable Models and Artificial Neural Networks Techniques. CIARP 2007: 803-811 - 2005
- [c2]M. Pastorinho, Miguel A. Guevara
Development of a New Index to Evaluate Zooplanktons' Gonads: An Approach Based on a Suitable Combination of Deformable Models. CIARP 2005: 498-505 - 2003
- [c1]Miguel A. Guevara
Segmentation and Morphometry of Histological Sections Using Deformable Models: A New Tool for Evaluating Testicular Histopathology. CIARP 2003: 282-290
Coauthor Index
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last updated on 2024-12-10 21:42 CET by the dblp team
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