Grapevine Segmentation in RGB Images using Deep Learning. - Gabriel A. Carneiro; Rafaela Magalhães; Alexandre Neto; Joaquim João Sousa; António Cunha (CENTERIS/ProjMAN/HCist, 2021)

Optic disc and cup segmentations for glaucoma assessment using cup-to-disc ratio. - Alexandre Neto; José Camara; Sérgio Oliveira; Ana Cláudia Teixeira; António Cunha (CENTERIS/ProjMAN/HCist, 2021)

Deep Learning Approach for Terrace Vineyards Detection from Google Earth Satellite Imagery. - Nuno Figueiredo; Alexandre Neto; António Cunha; Joaquim João Moreira de Sousa; António M. R. Sousa (IGARSS, 2022)

Using Deep Learning for Detection and Classification of Insects on Traps. - Ana Cláudia Teixeira; José Ribeiro; Alexandre Neto; Raul Morais; Joaquim João Moreira de Sousa; António Cunha (IGARSS, 2022)

Preliminary Study of Deep Learning Algorithms for Metaplasia Detection in Upper Gastrointestinal Endoscopy. - Alexandre Neto; Sofia Ferreira; Diogo Libânio; Mário Dinis-Ribeiro; Miguel T. Coimbra; António Cunha (MobiHealth, 2022)

Deep Learning Glaucoma Detection Models in Retinal Images Capture by Mobile Devices. - Roberto Flavio Rezende; Ana Coelho; Rodrigo Fernandes; José Camara; Alexandre Neto; António Cunha (MobiHealth, 2022)

Semantic segmentation of 3D car parts using UAV-based images. - David Jurado-Rodríguez; Juan Manuel Jurado; Luís Pádua; Alexandre Neto; Rafael Muñoz-Salinas; Joaquim João Moreira de Sousa (Comput. Graph., 2022)

Literature Review on Artificial Intelligence Methods for Glaucoma Screening, Segmentation, and Classification. - José Camara; Alexandre Neto; Ivan Miguel Pires; María Vanessa Villasana; Eftim Zdravevski; António Cunha (J. Imaging, 2022)

Evaluations of Deep Learning Approaches for Glaucoma Screening Using Retinal Images from Mobile Device. - Alexandre Neto; José Camara; António Cunha (Sensors, 2022)

Research Challenges for Augmenting Endoscopy Image Datasets using Image Combination Methodologies. - Alexandre Neto; Diogo Libânio; Mário Dinis-Ribeiro; Miguel T. Coimbra; António Cunha (CENTERIS/ProjMAN/HCist, 2023)

Evaluating Data Augmentation for Grapevine Varieties Identification. - Gabriel A. Carneiro; Alexandre Neto; Ana Cláudia Teixeira; António Cunha; Joaquim João Sousa (IGARSS, 2023)

Colonoscopic Polyp Detection with Deep Learning Assist. - Alexandre Neto; Diogo Couto; Miguel T. Coimbra; António Cunha (VISIGRAPP (4: VISAPP), 2023)

Generative Adversarial Networks for Augmenting Endoscopy Image Datasets of Stomach Precancerous Lesions: A Review. - Bruno Magalhães; Alexandre Neto; António Cunha (IEEE Access, 2023)

Using generative adversarial networks for endoscopic image augmentation of stomach precancerous lesions. - Bruno Magalhães; Alexandre Neto; Eduarda Almeida; Diogo Libânio; Jéssica Chaves; Mário Dinis-Ribeiro; Miguel T. Coimbra; António Cunha (CENTERIS/ProjMAN/HCist, 2024)