Towards a new mobility concept for cities: architecture and programming of semi-autonomous electric vehicles. - Rui P. Rocha; António Cunha; Joaquim Varandas; Jorge Dias 001 (Ind. Robot, 2007)

A Pervasive Nutritional Monitoring and Advise System - NutriMe. - Vitor Basto-Fernandes; João Varajão; António Cunha (ICE-B, 2008)

Planning of a usability test for 3D controllers in Second Life / OpenSimulator virtual worlds. - Cátia Dias; Odete Fernandes; António Cunha; Leonel Morgado (SeGAH, 2011)

Endoscopy - Brief historical survey, developments and therapeutics. - Ana Liborio; Sylvie Couto; António Cunha; Paulo Jorge Simões Coelho (SeGAH, 2011)

Cell functional enviromics: Unravelling the function of environmental factors. - Ana P. Teixeira; João M. L. Dias; Nuno Carinhas; Marcos Sousa; José Clemente; António Cunha; Moritz von Stosch; Paula M. Alves; Manuel J. T. Carrondo; Rui Oliveira 002 (BMC Syst. Biol., 2011)

Usability Test of 3Dconnexion 3D Mice Versus Keyboard+Mouse in Second Life Undertaken by People with Motor Disabilities due to Medullary Lesions. - Márcio Garcia Martins 001; António Cunha; Leonel Morgado (DSAI, 2012)

Indoor Localization and Tracking Using 802.11 Networks and Smartphones. - João Quintas; António Cunha; Pedro Serra; André Pereira; Bruno Marques; Jorge Dias 001 (EvAAL, 2013)

Reassuring the Elderly Regarding the Use of Mobile Devices for Mobility. - António Cunha; Paula Trigueiros Cunha; Tiago Lemos (HCI (6), 2014)

ASL: a DSL for remote contact center agents. - Andre Carvalho; Susana Oliveira; Sandra Fernandes; António Cunha (SMC, 2014)

HelpWave: An Integrated Web Centred System. - António Cunha; Paula Trigueiros Cunha; António Jorge Gouveia (CENTERIS/ProjMAN/HCist, 2015)

Mobile RHS: A Mobile Application to Support the "River Habitat Survey" Methodology. - António Cunha; Pedro Gonçalves; João Barreira; António Trigo; Samantha Jane Hughes (CENTERIS/ProjMAN/HCist, 2015)

Cost-effective and Lightweight Mobile Units for MixAR: A Comparative Trial among Different Setups. - Luís Pádua; David Narciso; Telmo Adão; António Cunha; Emanuel Peres; Luís Magalhães (CENTERIS/ProjMAN/HCist, 2015)

Towards Modern Cost-effective and Lightweight Augmented Reality Setups. - Luís Pádua; Telmo Adão; David Narciso; António Cunha; Luís Magalhães; Emanuel Peres (Int. J. Web Portals, 2015)

Usability test of 3Dconnexion 3D mice versus keyboard + mouse in Second Life undertaken by people with motor disabilities due to medullary lesions. - Márcio Garcia Martins 001; António Cunha; Irene Oliveira; Leonel Morgado (Univers. Access Inf. Soc., 2015)

Automatic Meal Intake Monitoring Using Hidden Markov Models. - Luís Costa; Paula Trigueiros Cunha; António Cunha (CENTERIS/ProjMAN/HCist, 2016)

Helping Older People: Is there an App for that? - António Cunha; Evandro Cunha; Emanuel Peres; Paula Trigueiros Cunha (CENTERIS/ProjMAN/HCist, 2016)

Detection of juxta-pleural lung nodules in computed tomography images. - Guilherme Aresta; António Cunha; Aurélio Campilho (Computer-Aided Diagnosis, 2017)

Evaluation of the Degree of Malignancy of Lung Nodules in Computed Tomography Images. - Luis Gonçalves; Jorge Novo; António Cunha; Aurélio J. C. Campilho (VISIGRAPP (6: VISAPP), 2017)

Deep Homography Based Localization on Videos of Endoscopic Capsules. - Gil Pinheiro; Paulo Jorge Simões Coelho; Marta Salgado; Hélder P. Oliveira; António Cunha (BIBM, 2018)

Convolutional Neural Network Architectures for Texture Classification of Pulmonary Nodules. - Carlos A. Ferreira; António Cunha; Ana Maria Mendonça; Aurélio Campilho (CIARP, 2018)

Machine learning classification methods in hyperspectral data processing for agricultural applications. - Jonás Hruska; Telmo Adão; Luís Pádua; Pedro Marques 002; António Cunha; Emanuel Peres; António M. R. Sousa; Raul Morais; Joaquim João Sousa (ICGDA, 2018)

Radiologists' Gaze Characterization During Lung Nodule Search in Thoracic CT. - Marlene Machado; Guilherme Aresta; Patrícia Leitão; André Silva Carvalho; Márcio Rodrigues; Isabel Ramos; António Cunha; Aurélio J. C. Campilho (ICGI, 2018)

A Deep Learning Approach for Red Lesions Detection in Video Capsule Endoscopies. - Paulo Jorge Simões Coelho; Ana Pereira; Argentina Leite; Marta Salgado; António Cunha (ICIAR, 2018)

Towards an Automatic Lung Cancer Screening System in Low Dose Computed Tomography. - Guilherme Aresta; Teresa Araújo; Colin Jacobs; Bram van Ginneken; António Cunha; Isabel Ramos; Aurélio Campilho (RAMBO+BIA+TIA@MICCAI, 2018)

iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network. - Guilherme Aresta; Colin Jacobs; Teresa Araújo; António Cunha; Isabel Ramos; Bram van Ginneken; Aurélio Campilho (CoRR, 2018)

Unsupervised Neural Network for Homography Estimation in Capsule Endoscopy Frames. - Sara Gomes; Maria Teresa Valério; Marta Salgado; Hélder P. Oliveira; António Cunha (CENTERIS/ProjMAN/HCist, 2019)

Lesions Multiclass Classification in Endoscopic Capsule Frames. - Maria Teresa Valério; Sara Gomes; Marta Salgado; Hélder P. Oliveira; António Cunha (CENTERIS/ProjMAN/HCist, 2019)

Comparison of Conventional and Deep Learning Based Methods for Pulmonary Nodule Segmentation in CT Images. - Joana Rocha; António Cunha; Ana Maria Mendonça (EPIA (1), 2019)

Radiogenomics: Lung Cancer-Related Genes Mutation Status Prediction. - Catarina Dias; Gil Pinheiro; António Cunha; Hélder P. Oliveira (IbPRIA (2), 2019)

Small Bowel Mucosa Segmentation for Frame Characterization in Videos of Endoscopic Capsules. - Gil Pinheiro; Paulo Jorge Simões Coelho; Mariana Mourão; Marta Salgado; Hélder P. Oliveira; António Cunha (ISBI, 2019)

Did you miss it? Automatic lung nodule detection combined with gaze information improves radiologists' screening performance. - Guilherme Aresta; Carlos A. Ferreira; João Pedrosa; Teresa Araújo; João Rebelo; Eduardo Negrão; Margarida Morgado; Filipe Alves; António Cunha; Isabel Ramos; Aurélio Campilho (CoRR, 2019)

LNDb: A Lung Nodule Database on Computed Tomography. - João Pedrosa; Guilherme Aresta; Carlos A. Ferreira; Márcio Rodrigues; Patrícia Leitão; André Silva Carvalho; João Rebelo; Eduardo Negrão; Isabel Ramos; António Cunha; Aurélio Campilho (CoRR, 2019)

An unsupervised metaheuristic search approach for segmentation and volume measurement of pulmonary nodules in lung CT scans. - Elham Shakibapour; António Cunha; Guilherme Aresta; Ana Maria Mendonça; Aurélio Campilho (Expert Syst. Appl., 2019)

Multivariate Outlier Detection in Postprocessing of Multi-temporal PS-InSAR Results using Deep Learning. - Pedro Aguiar; António Cunha; Matus Bakon; Antonio M. Ruiz-Armenteros; Joaquim João Sousa (CENTERIS/ProjMAN/HCist, 2020)

Low-Resolution Retinal Image Vessel Segmentation. - Hasan A. Zengin; José Camara; Paulo Jorge Simões Coelho; João M. F. Rodrigues; António Cunha (HCI (9), 2020)

Classification of Lung Nodules in CT Volumes Using the Lung-RADS™ Guidelines with Uncertainty Parameterization. - Carlos A. Ferreira; Guilherme Aresta; João Pedrosa; João Rebelo; Eduardo Negrão; António Cunha; Isabel Ramos; Aurélio Campilho (ISBI, 2020)

Conventional Filtering Versus U-Net Based Models for Pulmonary Nodule Segmentation in CT Images. - Joana Rocha; António Cunha; Ana Maria Mendonça (J. Medical Syst., 2020)

Automatic Lung Nodule Detection Combined With Gaze Information Improves Radiologists' Screening Performance. - Guilherme Aresta; Carlos A. Ferreira; João Pedrosa; Teresa Araújo; João Rebelo; Eduardo Negrão; Margarida Morgado; Filipe Alves; António Cunha; Isabel Ramos; Aurélio Campilho (IEEE J. Biomed. Health Informatics, 2020)

LNDb Dataset. - João Pedrosa; Guilherme Aresta; Carlos A. Ferreira; Márcio Rodrigues; Patrícia Leitão; André Silva Carvalho; João Rebelo; Eduardo Negrão; Isabel Ramos; António Cunha; Aurélio Campilho (Zenodo, 2020)

Stacking Approach for Lung Cancer EGFR Mutation Status Prediction from CT Scans. - Alexandra Ventura; Tânia Pereira 001; Francisco Silva 002; Cláudia Freitas; António Cunha; Hélder P. Oliveira (BIBM, 2021)

Exploring Dataset Manipulation via Machine Learning for Botnet Traffic. - Rodrigo Abrantes; Pedro Mestre; António Cunha (CENTERIS/ProjMAN/HCist, 2021)

Analyzing the Fine Tuning's impact in Grapevine Classification. - Gabriel S. Carneiro; Ana Ferreira 010; Raul Morais; Joaquim João Sousa; António Cunha (CENTERIS/ProjMAN/HCist, 2021)

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

Abnormality classification in small datasets of capsule endoscopy images. - Filipe Fonseca; Beatriz Nunes; Marta Salgado; António Cunha (CENTERIS/ProjMAN/HCist, 2021)

Machine Learning automatic assessment for glaucoma and myopia based on Corvis ST data. - Danilo Leite; Maria Campelos; Ana Fernandes; Pedro Batista 004; João Beirão; Pedro Menéres; 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)

Polyps Detection in Colonoscopies. - José Ribeiro; Sara Nóbrega; António Cunha (CENTERIS/ProjMAN/HCist, 2021)

Automatic detection of Flavescense Dorée grapevine disease in hyperspectral images using machine learning. - Diogo M. Silva; Théo Bernardin; Kévin Fanton; Roshan Nepaul; Luís Pádua; Joaquim João Sousa; António Cunha (CENTERIS/ProjMAN/HCist, 2021)

Deformation Fringes Detection in SAR interferograms Using Deep Learning. - Bruno Silva; Joaquim João Sousa; Milan Lazecký; António Cunha (CENTERIS/ProjMAN/HCist, 2021)

Ensemble Strategies for EGFR Mutation Status Prediction in Lung Cancer. - Mafalda Malafaia; Tânia Pereira 001; Francisco Silva 002; Joana Morgado; António Cunha; Hélder P. Oliveira (EMBC, 2021)

The Impact of Interstitial Diseases Patterns on Lung CT Segmentation. - Francisco Silva 002; Tânia Pereira 001; Joana Morgado; António Cunha; Hélder P. Oliveira (EMBC, 2021)

Grapevine Variety Identification Through Grapevine Leaf Images Acquired in Natural Environment. - Gabriel S. Carneiro; Luís Pádua; Joaquim João Sousa; Emanuel Peres; Raul Morais; António Cunha (IGARSS, 2021)

EGFR Assessment in Lung Cancer CT Images: Analysis of Local and Holistic Regions of Interest Using Deep Unsupervised Transfer Learning. - Francisco Silva 002; Tânia Pereira 001; Joana Morgado; Julieta Frade; José Mendes; Cláudia Freitas; Eduardo Negrão; Beatriz Flor De Lima; Miguel Correia Da Silva; António J. Madureira; Isabel Ramos; Venceslau Hespanhol; et al. (IEEE Access, 2021)

A multi-task CNN approach for lung nodule malignancy classification and characterization. - Sónia Marques; Filippo Schiavo; Carlos A. Ferreira; João Pedrosa; António Cunha; Aurélio Campilho (Expert Syst. Appl., 2021)

LNDb challenge on automatic lung cancer patient management. - João Pedrosa; Guilherme Aresta; Carlos A. Ferreira; Gurraj Atwal; Hady Ahmady Phoulady; Xiaoyu Chen; Rongzhen Chen; Jiaoliang Li; Liansheng Wang; Adrian Galdran; Hamid Bouchachia; Krishna Chaitanya Kaluva; et al. (Medical Image Anal., 2021)

Glaucoma Detection using Convolutional Neural Networks for Mobile Use. - Meltem Esengönül; António Cunha (CENTERIS/ProjMAN/HCist, 2022)

Exploratory approach for automatic detection of vine rows in terrace vineyards. - Nuno Figueiredo; Luís Pádua; António Cunha; Joaquim João Sousa; António M. R. Sousa (CENTERIS/ProjMAN/HCist, 2022)

Migration of a stock management application in the healthcare industry to a Web/Mobile environment: a project report. - Cátia Machado; António Cunha; António Jorge Gouveia (CENTERIS/ProjMAN/HCist, 2022)

A deep learning approach for automatic counting of bedbugs and grape moth. - Ana Cláudia Teixeira; Raul Morais; Joaquim João Sousa; Emanuel Peres; António Cunha (CENTERIS/ProjMAN/HCist, 2022)

Using deep learning for automatic detection of insects in traps. - Ana Cláudia Teixeira; Raul Morais; Joaquim João Sousa; Emanuel Peres; António Cunha (CENTERIS/ProjMAN/HCist, 2022)

Synthesizing 3D Lung CT scans with Generative Adversarial Networks. - Artur Ferreira 002; Tânia Pereira 001; Francisco Silva 002; Ana T. Vilares; Miguel Correia Da Silva; António Cunha; Hélder P. Oliveira (EMBC, 2022)

Unsupervised Approach for Malignancy Assessment of Lung Nodules in Computed Tomography Scans Using Radiomic Features. - Marco Teixeira; Tânia Pereira 001; Francisco Silva 002; António Cunha; Hélder P. Oliveira (EMBC, 2022)

PS-InSAR Target Classification Using Deep Learning. - Pedro Aguiar; António Cunha; Matus Bakon; Antonio M. Ruiz-Armenteros; Joaquim João Moreira de Sousa (IGARSS, 2022)

Grapevine Varieties Identification Using Vision Transformers. - Gabriel Antonio Carneiro; Luís Pádua; Emanuel Peres; Raul Morais; Joaquim João Moreira de Sousa; António Cunha (IGARSS, 2022)

Segmentation as a Preprocessing Tool for Automatic Grapevine Classification. - Gabriel Antonio Carneiro; Luís Pádua; Emanuel Peres; Raul Morais; Joaquim João Moreira de Sousa; António Cunha (IGARSS, 2022)

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)

Detecting Earthquakes in SAR Interferogram with Vision Transformer. - Bruno Silva; Joaquim João Sousa; António Cunha (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)

A Review on the Video Summarization and Glaucoma Detection. - Tales Correia; António Cunha; Paulo Jorge Simões Coelho (MobiHealth, 2022)

Diabetic Retinopathy Detection Using Convolutional Neural Networks for Mobile Use. - Meltem Esengönül; Anselmo Cardoso de Paiva; João M. F. Rodrigues; António Cunha (MobiHealth, 2022)

Evaluating Rotation Invariant Strategies for Mitosis Detection Through YOLO Algorithms. - Dibet Garcia Gonzalez; João Carias; Yusbel Chávez Castilla; José Rodrigues; Telmo Adão; Rui Jesus 002; Luís Gonzaga Mendes Magalhães; Vitor Manuel Leitão de Sousa; Lina Carvalho; Rui Almeida; António Cunha (MobiHealth, 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)

A Review on Deep Learning-Based Automatic Lipreading. - Carlos Santos; António Cunha; Paulo Jorge Simões Coelho (MobiHealth, 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)

Multiple instance learning for lung pathophysiological findings detection using CT scans. - Julieta Frade; Tânia Pereira 001; Joana Morgado; Francisco Silva 002; Cláudia Freitas; José Mendes; Eduardo Negrão; Beatriz Flor De Lima; Miguel Correia Da Silva; António J. Madureira; Isabel Ramos; José Luís Costa; et al. (Medical Biol. Eng. Comput., 2022)

Detection and Mosaicing Techniques for Low-Quality Retinal Videos. - José Camara; Bruno Silva; António Jorge Gouveia; Ivan Miguel Pires; Paulo Jorge Simões Coelho; António Cunha (Sensors, 2022)

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

LNDb Dataset. - João Pedrosa; Guilherme Aresta; Carlos A. Ferreira; Márcio Rodrigues; Patrícia Leitão; André Silva Carvalho; João Rebelo; Eduardo Negrão; Isabel Ramos; António Cunha; Aurélio Campilho (Zenodo, 2022)

LNDb Dataset. - João Pedrosa; Guilherme Aresta; Carlos A. Ferreira; Márcio Rodrigues; Patrícia Leitão; André Silva Carvalho; João Rebelo; Eduardo Negrão; Isabel Ramos; António Cunha; Aurélio Campilho (Zenodo, 2022)

Quality assessment of Low-cost retinal Videos for Glaucoma screening. - Solomon Gebru Abay; Filipa Lima; Luc Geurts; José Camara; João Pedrosa; António Cunha (CENTERIS/ProjMAN/HCist, 2023)

Phase Unwrapping using ML methods. - Diogo Couto; Steffan Davies; Joaquim João Sousa; António Cunha (CENTERIS/ProjMAN/HCist, 2023)

Evaluation of Deep Learning Models in Search by Example using Capsule Endoscopy Images. - Rodrigo Fernandes; Alexandre Pessoa 001; José Nogueira; Anselmo Cardoso de Paiva; Ishak Paçal; Marta Salgado; António Cunha (CENTERIS/ProjMAN/HCist, 2023)

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)

Does Fake News have Feelings? - Herbert Laroca Pinto; Vítor Rocio; António Cunha (CENTERIS/ProjMAN/HCist, 2023)

Automatic classification of abandonment in Douro's vineyard parcels. - Igor Teixeira; Joaquim João Sousa; António Cunha (CENTERIS/ProjMAN/HCist, 2023)

Can the Segmentation Improve the Grape Varieties' Identification Through Images Acquired On-Field? - Gabriel A. Carneiro; Ana Cláudia Teixeira; Raul Morais; Joaquim João Sousa; António Cunha (EPIA (2), 2023)

Segmentation as a Pre-processing for Automatic Grape Moths Detection. - Ana Cláudia Teixeira; Gabriel A. Carneiro; Raul Morais; Joaquim João Sousa; António Cunha (EPIA (2), 2023)

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

Transfer-Learning On Land Use And Land Cover Classification. - Gabriel A. Carneiro; Ana Cláudia Teixeira; António Cunha; Joaquim João Sousa (IGARSS, 2023)

Automatic Identification of Public Lighting Failures in Satellite Images: A Case Study in Seville, Spain. - Ana Cláudia Teixeira; Leonor Batista; Gabriel A. Carneiro; António Cunha; Joaquim João Sousa (IGARSS, 2023)

Street Light Segmentation in Satellite Images Using Deep Learning. - Ana Cláudia Teixeira; Gabriel A. Carneiro; Vítor Filipe; António Cunha; Joaquim João Sousa (IGARSS, 2023)

Evaluating YOLO Models for Grape Moth Detection in Insect Traps. - Ana Cláudia Teixeira; Gabriel A. Carneiro; Raul Morais; Joaquim João Sousa; António Cunha (IGARSS, 2023)

Automatic Detection of Abandoned Vineyards Using Aerial Imagery. - Igor Teixeira; Joaquim João Sousa; António Cunha (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)

Lung CT image synthesis using GANs. - José Mendes; Tânia Pereira 001; Francisco Silva 002; Julieta Frade; Joana Morgado; Cláudia Freitas; Eduardo Negrão; Beatriz Flor De Lima; Miguel Correia Da Silva; António J. Madureira; Isabel Ramos; José Luís Costa; et al. (Expert Syst. Appl., 2023)

LNDb Dataset. - João Pedrosa; Guilherme Aresta; Carlos A. Ferreira; Márcio Rodrigues; Patrícia Leitão; André Silva Carvalho; João Rebelo; Eduardo Negrão; Isabel Ramos; António Cunha; Aurélio Campilho (Zenodo, 2023)

Automatic characterisation of the urban grid of cities in developing countries from satellite images - A review. - Marcelo Correia; António Cunha; Sandra Pereira (CENTERIS/ProjMAN/HCist, 2024)

Method for detecting non-alcoholic fatty liver disease in abdominal thermography time series using temporal convolutional networks. - Marcos Vinícius de Sousa Farias; Italo Francyles Santos da Silva; Aristófanes Corrêa Silva; Henrique Manoel de Araújo Martins Filho; Anselmo Cardoso de Paiva; António Cunha (CENTERIS/ProjMAN/HCist, 2024)

A Deep Learning Approach to Annotating Endoscopic Capsule Videos via CBIR. - Inês Castro Fernandes; Rodrigo Fernandes; Alexandre Pessoa 001; Marta Salgado; Anselmo Cardoso de Paiva; Ishak Paçal; António Cunha (CENTERIS/ProjMAN/HCist, 2024)

Active Learning Application for Mitosis Detection. A Brief Review. - Maria Ferreira-Leite; Dibet Garcia Gonzalez; Luís Magalhães; António Cunha (CENTERIS/ProjMAN/HCist, 2024)

Evaluation of the vision mamba model for detecting diabetic retinopathy. - Marcos Ferreira; Leonor Cardoso; José Camara; Saul Pires; Nuno Correia 001; Geraldo Braz Júnior; António Cunha (CENTERIS/ProjMAN/HCist, 2024)

Detection of Endoscopic Polyps: Evaluation of Example-Based XAI Techniques. - Miguel Fontes; Tânia Gonçalves; José Lopes; João Dallyson Sousa de Almeida; António Cunha (CENTERIS/ProjMAN/HCist, 2024)

Automatic Identification in Building Images of Biological Growths. - Andreia Henrique; António Cunha; Jorge Pinto; Dibet Garcia Gonzalez; Sandra Pereira (CENTERIS/ProjMAN/HCist, 2024)

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)

Classification of endoscopic capsule pathologies using Multiple Instance Learning methods. - Vitor Moreira; Eduardo Machado; Dalila Barbosa; Marta Salgado; Geraldo Braz Júnior; António Cunha (CENTERIS/ProjMAN/HCist, 2024)

A Cascade Method based on UNet3+ for Automated Vertebrae Segmentation in X-ray Images. - Estephane M. Nascimento; Aristófanes C. Silva; João Dallyson Sousa de Almeida; Alexandre C. P. Pessoa; Weslley K. R. Figueredo; Italo Francyles Santos da Silva; Geraldo Braz Júnior; Anselmo Cardoso de Paiva; António Cunha (CENTERIS/ProjMAN/HCist, 2024)

Experimental Study of an Active Learning-based Method for the Classification of Penile Cancer in Histopathological Images using Convolutional Neural Networks. - Italo Francyles Santos da Silva; Geraldo Braz Júnior; Aristófanes Corrêa Silva; Anselmo Cardoso de Paiva; Rui Miguel Gil da Costa Oliveira; António Cunha (CENTERIS/ProjMAN/HCist, 2024)

Web Diagnosis for COVID-19 and Pneumonia Based on Computed Tomography Scans and X-rays. - Carlos Antunes; João M. F. Rodrigues; António Cunha (HCI (15), 2024)

A Comparative Analysis of EfficientNet Architectures for Identifying Anomalies in Endoscopic Images. - Alexandre C. P. Pessoa; Darlan B. P. Quintanilha; João Dallyson Sousa de Almeida; Geraldo Braz Júnior; Anselmo Cardoso de Paiva; António Cunha (ICEIS (1), 2024)

Multiple Instance Learning in Medical Images: A Systematic Review. - Dalila Barbosa; Marcos Ferreira; Geraldo Braz Júnior; Marta Salgado; António Cunha (IEEE Access, 2024)

Enhancing Image Annotation With Object Tracking and Image Retrieval: A Systematic Review. - Rodrigo Fernandes; Alexandre Pessoa 001; Marta Salgado; Anselmo Cardoso de Paiva; Ishak Paçal; António Cunha (IEEE Access, 2024)

Application of Example-Based Explainable Artificial Intelligence (XAI) for Analysis and Interpretation of Medical Imaging: A Systematic Review. - Miguel Fontes; João Dallyson Sousa de Almeida; António Cunha (IEEE Access, 2024)

Systematic review on weapon detection in surveillance footage through deep learning. - Tomás Santos; Hélder P. Oliveira; António Cunha (Comput. Sci. Rev., 2024)

Comparative Analysis of CNNs and Vision Transformers for Automatic Classification of Abandonment in Douro's Vineyard Parcels. - Danilo Leite; Igor Teixeira; Raul Morais; Joaquim João Sousa; António Cunha (Remote. Sens., 2024)

Enhancing EfficientNetv2 with global and efficient channel attention mechanisms for accurate MRI-Based brain tumor classification. - Ishak Paçal; Omer Celik; Bilal Bayram; António Cunha (Clust. Comput., 2024)

Advancing Image-Based Grapevine Variety Classification with a New Benchmark and Evaluation of Masked Autoencoders. - Gabriel A. Carneiro; Thierry J. Aubry; António Cunha; Petia Radeva; Joaquim Sousa (CoRR, 2025)

Evaluating EfficientNet Architectures for Pathology Detection in Endoscopic Gastrointestinal Tract Images. - Alexandre C. P. Pessoa; Darlan B. P. Quintanilha; João Dallyson Sousa de Almeida; Geraldo Braz Júnior; Anselmo Cardoso de Paiva; António Cunha (SN Comput. Sci., 2025)