Segmentation and Morphometry of Histological Sections Using Deformable Models: A New Tool for Evaluating Testicular Histopathology. - Miguel A. Guevara; Augusto Silva; Helena Oliveira; Maria de Lourdes Pereira; Fernando Morgado (CIARP, 2003)

Development of a New Index to Evaluate Zooplanktons' Gonads: An Approach Based on a Suitable Combination of Deformable Models. - M. Pastorinho; Miguel A. Guevara; Augusto Silva; Luis Coelho; Fernando Morgado (CIARP, 2005)

Breast Cancer Diagnosis Based on a Suitable Combination of Deformable Models and Artificial Neural Networks Techniques. - Yosvany López; Andra Novoa; Miguel A. Guevara; Augusto Silva (CIARP, 2007)

Set of Methods for Spontaneous ICH Segmentation and Tracking from CT Head Images. - Noel Pérez; José A. Valdés; Miguel A. Guevara; Luis A. Rodríguez; J. M. Molina (CIARP, 2007)

Computer Aided Diagnosis System to Detect Breast Cancer Pathological Lesions. - Yosvany López; Andra Novoa; Miguel A. Guevara; Nicolás Quintana; Augusto Silva (CIARP, 2008)

Introducing ROC Curves as Error Measure Functions: A New Approach to Train ANN-Based Biomedical Data Classifiers. - Raúl Ramos-Pollán; Miguel Ángel Guevara-López; Eugénio C. Oliveira (CIARP, 2010)

Kernels and partial line digraphs. - Camino Balbuena; Miguel A. Guevara (Appl. Math. Lett., 2010)

Exchanging Data for Breast Cancer Diagnosis on Heterogeneous Grid Platforms. - 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; et al. (Comput. Informatics, 2012)

A Software Framework for Building Biomedical Machine Learning Classifiers through Grid Computing Resources. - Raúl Ramos-Pollán; Miguel Ángel Guevara-López; Eugénio C. Oliveira (J. Medical Syst., 2012)

Discovering Mammography-based Machine Learning Classifiers for Breast Cancer Diagnosis. - Raúl Ramos-Pollán; Miguel Ángel Guevara-López; Cesar Suarez Ortega; Guillermo Díaz-Herrero; Jose Miguel Franco-Valiente; Manuel Rubio del Solar; Naimy González-de-Posada; Mário Augusto Pires Vaz; Joana Loureiro; Isabel Ramos (J. Medical Syst., 2012)

Benchmarking Datasets for Breast Cancer Computer-Aided Diagnosis (CADx). - Daniel Cardoso Moura; Miguel Ángel Guevara-López; Pedro Cunha; Naimy González-de-Posada; Raúl Ramos-Pollán; Isabel Ramos; Joana Pinheiro Loureiro; Inês C. Moreira; Bruno M. Ferreira de Araújo; Teresa Cardoso Fernandes (CIARP (1), 2013)

Improving the breast cancer diagnosis using digital repositories. - 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 (IWBBIO, 2013)

Improving breast cancer classification with mammography, supported on an appropriate variable selection analysis. - Noel Pérez; Miguel A. Guevara; Augusto Silva (Computer-Aided Diagnosis, 2013)

A method for segmentation of dental implants and crestal bone. - Pedro Cunha; Miguel Ángel Guevara-López; Ana Messias; Salomão Rocha; Rita Reis; Pedro M. G. Nicolau (Int. J. Comput. Assist. Radiol. Surg., 2013)

An evaluation of image descriptors combined with clinical data for breast cancer diagnosis. - Daniel C. Moura; Miguel Ángel Guevara-López (Int. J. Comput. Assist. Radiol. Surg., 2013)

Improving the performance of machine learning classifiers for Breast Cancer diagnosis based on feature selection. - Noel Pérez; Miguel A. Guevara; Augusto Silva; Isabel Ramos; Joana Loureiro (FedCSIS, 2014)

Impact of Ensemble Learning in the Assessment of Skeletal Maturity. - Pedro Cunha; Daniel C. Moura; Miguel Ángel Guevara-López; Conceição Guerra; Daniela Pinto; Isabel Ramos (J. Medical Syst., 2014)

Convolutional neural networks for mammography mass lesion classification. - John Edison Arevalo Ovalle; Fabio A. González 001; Raúl Ramos-Pollán; José Luís Oliveira; Miguel Ángel Guevara-López (EMBC, 2015)

Improving the Mann-Whitney statistical test for feature selection: An approach in breast cancer diagnosis on mammography. - Noel Pérez; Miguel Ángel Guevara-López; Augusto Silva; Isabel Ramos (Artif. Intell. Medicine, 2015)

Representation learning for mammography mass lesion classification with convolutional neural networks. - John Edison Arevalo Ovalle; Fabio A. González 001; Raúl Ramos-Pollán; José Luís Oliveira; Miguel Ángel Guevara-López (Comput. Methods Programs Biomed., 2016)

AGATHA: Face Benchmarking Dataset for Exploring Criminal Surveillance Methods on Open Source Data. - Paulo Brito; João Pedro Pereira Fontes; Nuno Miquelina; Miguel Ángel Guevara-López (ICGI, 2018)

Scene Reconstruction for Storytelling in 360 ^ circ Videos. - Gonçalo Pinheiro; Nelson Alves; Luís Magalhães; Luís Agrellos; Miguel Guevara 001 (INTETAIN, 2018)

Application of the Two-Stage One-Dimensional Cutting Stock Problem in the Steel Industry. - José Luís Santos; Joni Santos; Manuel João Ferreira; Nelson Alves; Miguel Guevara 001 (ISIE, 2018)

Graphics and Media Technologies for Operators in Industry 4.0. - Jorge Posada 001; Mikel Zorrilla; Ana Dominguez 001; Bruno Simões; Peter Eisert; Didier Stricker; Jason R. Rambach; Jürgen Döllner; Miguel Guevara 001 (IEEE Computer Graphics and Applications, 2018)

Bone age assessment using general use convolutional neural networks. - Gonçalo Pinheiro; Luís Magalhães; Miguel A. Guevara (ICGI, 2019)

Inpresso AR: a generic Augmented Book. - José Rocha; Luís Magalhães; Nelson Alves; Miguel Guevara 001 (ICGI, 2019)

A Ubiquitous Service-Oriented Automatic Optical Inspection Platform for Textile Industry. - Dibet Garcia Gonzalez; Yusbel Chávez Castilla; Somayeh Shaharadaby; Ana Mackay; Lúcia Soares; Pedro Guimarães; Francisco Morais; Joel Puga; Filipe Meneses; Adriano J. C. Moreira; Miguel Machado; Telmo Adão; et al. (CENTERIS/ProjMAN/HCist, 2021)

A web-based Voice Interaction framework proposal for enhancing Information Systems user experience. - Tiago F. Pereira; Arthur Matta; Carlos M. Mayea; Frederico Pereira; Nelson Monroy; João Jorge; Tiago Rosa; Carlos E. Salgado; Ana Lima 001; Ricardo J. Machado 001; Luís Magalhães; Telmo Adão; et al. (CENTERIS/ProjMAN/HCist, 2021)

Deployment Service for Scalable Distributed Deep Learning Training on Multiple Clouds. - Javier Jorge; Germán Moltó; J. Damian Segrelles Quilis; João Pedro Pereira Fontes; Miguel Ángel Guevara-López (CLOSER, 2021)

Point-cloud based 3D object detection and classification methods for self-driving applications: A survey and taxonomy. - Duarte Fernandes; António Silva 004; Rafael Névoa; Cláudia Simões; Dibet Garcia Gonzalez; Miguel Guevara 001; Paulo Novais; João Monteiro 001; Pedro Melo-Pinto (Inf. Fusion, 2021)

Footwear segmentation and recommendation supported by deep learning: an exploratory proposal. - João Oliveira; Rui Gomes; Dibet Garcia Gonzalez; Nuno Sousa; Somayeh Shahrabadi; Miguel Guevara 001; Maria José Ferreira; Pedro Alves; Emanuel Peres; Luís Magalhães; Telmo Adão (CENTERIS/ProjMAN/HCist, 2022)

A cloud-based 3D real-time inspection platform for industry: a case-study focusing automotive cast iron parts. - José Rubén Pozo Pérez; Javier León; Yusbel Chávez Castilla; Somayeh Shahrabadi; Vitor Anjos; Telmo Adão; Miguel Ángel Guevara-López; Emanuel Peres; Luís Magalhães; Dibet Garcia Gonzalez (CENTERIS/ProjMAN/HCist, 2022)

Image-based Lung Analysis in the Context of Digital Pathology: a Brief Review. - Somayeh Shahrabadi; João Carias; Emanuel Peres; Luís G. Magalhães; Miguel Ángel Guevara-López; Luís Bastião Silva; Telmo Adão (CENTERIS/ProjMAN/HCist, 2023)

Digital Tools for Aircraft Maintenance: Prototyping Location-Aware AOI for Engine Assessment and Cable Routing Solutions. - Somayeh Shahrabadi; José Rodrigues; Iara Margolis; Luis Evangelista; Nuno J. Sousa; Emanuel Sousa; Miguel Ángel Guevara-López; Luís Gonzaga Magalhães; Emanuel Peres; Telmo Adão (ICGI, 2023)

Empowering Deaf-Hearing Communication: Exploring Synergies between Predictive and Generative AI-Based Strategies towards (Portuguese) Sign Language Interpretation. - Telmo Adão; João Oliveira; Somayeh Shahrabadi; Hugo Jesus; Marco Fernandes; Ângelo Costa; Vânia Ferreira; Martinho Gonçalves; Miguel Ángel Guevara-López; Emanuel Peres; Luís Gonzaga Magalhães (J. Imaging, 2023)

An Innovative Faster R-CNN-Based Framework for Breast Cancer Detection in MRI. - João Nuno Centeno Raimundo; João Pedro Pereira Fontes; Luís Gonzaga Mendes Magalhães; Miguel Ángel Guevara-López (J. Imaging, 2023)

Editorial for the Special Issue on Industrial Machine Learning Applications. - Paolo Rota; Miguel Ángel Guevara-López; Francesco Setti (J. Imaging, 2023)

Development of a Virtual Fitting Room Integrating Computer Vision, Artificial Intelligence and Virtual Reality Technologies. - Yanelys Fernández Llerena; João Oliveira; Andreia Fernandes Mendes; Miguel Ângelo Crespo Ferreira; José Rubén Pozo Pérez; Nuno Sousa; Yusbel Chávez Castilla; Rui Pedro Ribeiro; Inês Caetano 001; Luís Gonzaga Magalhães; Edel B. García Reyes; Miguel Ángel Guevara-López (ICGI, 2024)

AOI for automotive industry - a quality assessment approach combining 2D and 3D sensors. - José Rubén Pozo Pérez; Yanelys Fernández Llerena; Yusbel Chávez Castilla; Edel B. García Reyes; Luís Gonzaga Magalhães; Miguel Ángel Guevara-López (Web3D, 2024)

Accurate phenotyping of luminal A breast cancer in magnetic resonance imaging: A new 3D CNN approach. - João Pedro Pereira Fontes; João Nuno Centeno Raimundo; Luís Gonzaga Mendes Magalhães; Miguel Ángel Guevara-López (Comput. Biol. Medicine, 2025)