Cristiano Patrício

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 13

Top Topics

Magnetic Resonance

Clinical Applications

Top Venues

CLEF (Working Notes)

Publications

Cristiano Patrício, Carlo Alberto Barbano, Attilio Fiandrotti, Riccardo Renzulli, Marco Grangetto, Luís F. Teixeira, João C. Neves
Unsupervised Contrastive Analysis for Salient Pattern Detection using Conditional Diffusion Models. CoRR (2024)
Cristiano Patrício, João C. Neves, Luís F. Teixeira
Explainable Deep Learning Methods in Medical Image Classification: A Survey. ACM Comput. Surv. 56 (4) (2024)
Helena Montenegro, Pedro C. Neto, Cristiano Patrício, Isabel Rio-Torto, Tiago Gonçalves, Luís F. Teixeira
Evaluating Privacy on Synthetic Images Generated using GANs: Contributions of the VCMI Team to ImageCLEFmedical GANs 2023. CLEF (Working Notes) (2023)
Cristiano Patrício, João C. Neves, Luís F. Teixeira
Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion Diagnosis. CoRR (2023)
Cristiano Patrício, João C. Neves, Luís F. Teixeira
Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion Diagnosis. CVPR Workshops (2023)
Cristiano Patrício, Luís F. Teixeira, João C. Neves
Towards Concept-based Interpretability of Skin Lesion Diagnosis using Vision-Language Models. CoRR (2023)
Cristiano Patrício, João C. Neves
Zero-shot face recognition: Improving the discriminability of visual face features using a Semantic-Guided Attention Model. Expert Syst. Appl. 211 (2023)
Isabel Rio-Torto, Cristiano Patrício, Helena Montenegro, Tiago Gonçalves, Jaime S. Cardoso
Detecting Concepts and Generating Captions from Medical Images: Contributions of the VCMI Team to ImageCLEFmedical Caption 2023. CLEF (Working Notes) (2023)
Isabel Rio-Torto, Cristiano Patrício, Helena Montenegro, Tiago Gonçalves
Detecting Concepts and Generating Captions from Medical Images: Contributions of the VCMI Team to ImageCLEFmedical 2022 Caption. CLEF (Working Notes) (2022)
Cristiano Patrício, João C. Neves, Luís F. Teixeira
Explainable Deep Learning Methods in Medical Diagnosis: A Survey. CoRR (2022)
Cristiano Patrício, João Neves
ZSpeedL - Evaluating the Performance of Zero-Shot Learning Methods using Low-Power Devices. AVSS (2021)
Cristiano Patrício, João Neves
ZSpeedL - Evaluating the Performance of Zero-Shot Learning Methods using Low-Power Devices. CoRR (2021)
Cristiano Patrício, Tiago Lucas, Celestino Gonçalves, Nuno Pinto, Daniel Freitas, Luis Figueiredo
MagicContact Web: A Multiplatform Application for Augmentative and Alternative Communication. AHFE (17) (2020)