MagicContact Web: A Multiplatform Application for Augmentative and Alternative Communication. - Cristiano Patrício; Tiago Lucas; Celestino Gonçalves; Nuno Pinto; Daniel Freitas; Luis Figueiredo (AHFE (17), 2020)

A Study on Software Testing Standard Using ISO/IEC/IEEE 29119-2: 2013. - Cristiano Patrício; Rui Pinto; Gonçalo Marques (Recent Advances in Intelligent Systems and Smart Applications, 2021)

ZSpeedL - Evaluating the Performance of Zero-Shot Learning Methods using Low-Power Devices. - Cristiano Patrício; João C. Neves 001 (AVSS, 2021)

Detecting Concepts and Generating Captions from Medical Images: Contributions of the VCMI Team to ImageCLEFmedical 2022 Caption. - Isabel Rio-Torto; Cristiano Patrício; Helena Montenegro; Tiago Gonçalves (CLEF (Working Notes), 2022)

Explainable Deep Learning Methods in Medical Diagnosis: A Survey. - Cristiano Patrício; João C. Neves 001; Luís F. Teixeira 001 (CoRR, 2022)

Evaluating Privacy on Synthetic Images Generated using GANs: Contributions of the VCMI Team to ImageCLEFmedical GANs 2023. - Helena Montenegro; Pedro C. Neto; Cristiano Patrício; Isabel Rio-Torto; Tiago Gonçalves; Luís F. Teixeira 001 (CLEF (Working Notes), 2023)

Detecting Concepts and Generating Captions from Medical Images: Contributions of the VCMI Team to ImageCLEFmedical Caption 2023. - Isabel Rio-Torto; Cristiano Patrício; Helena Montenegro; Tiago Gonçalves; Jaime S. Cardoso 001 (CLEF (Working Notes), 2023)

Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion Diagnosis. - Cristiano Patrício; João C. Neves 001; Luís F. Teixeira 001 (CVPR Workshops, 2023)

Zero-shot face recognition: Improving the discriminability of visual face features using a Semantic-Guided Attention Model. - Cristiano Patrício; João C. Neves 001 (Expert Syst. Appl., 2023)

Towards Concept-Based Interpretability of Skin Lesion Diagnosis Using Vision-Language Models. - Cristiano Patrício; Luís F. Teixeira 001; João C. Neves 001 (ISBI, 2024)

Unsupervised Contrastive Analysis for Salient Pattern Detection using Conditional Diffusion Models. - Cristiano Patrício; Carlo Alberto Barbano; Attilio Fiandrotti; Riccardo Renzulli; Marco Grangetto; Luís F. Teixeira 001; João C. Neves 001 (CoRR, 2024)

A Two-Step Concept-Based Approach for Enhanced Interpretability and Trust in Skin Lesion Diagnosis. - Cristiano Patrício; Luís F. Teixeira 001; João C. Neves 001 (CoRR, 2024)

Explainable Deep Learning Methods in Medical Image Classification: A Survey. - Cristiano Patrício; João C. Neves 001; Luís F. Teixeira 001 (ACM Comput. Surv., 2024)

CBVLM: Training-free Explainable Concept-based Large Vision Language Models for Medical Image Classification. - Cristiano Patrício; Isabel Rio-Torto; Jaime S. Cardoso 001; Luís F. Teixeira 001; João C. Neves 001 (CoRR, 2025)