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2020 – today
- 2024
[j2]Cristiano Patrício
, João C. Neves, Luís F. Teixeira:
Explainable Deep Learning Methods in Medical Image Classification: A Survey. ACM Comput. Surv. 56(4): 85:1-85:41 (2024)- [c7]Cristiano Patrício, Luís F. Teixeira, João C. Neves:
Towards Concept-Based Interpretability of Skin Lesion Diagnosis Using Vision-Language Models. ISBI 2024: 1-5 - [i6]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 abs/2406.00772 (2024) - [i5]Cristiano Patrício, Luís F. Teixeira, João C. Neves:
A Two-Step Concept-Based Approach for Enhanced Interpretability and Trust in Skin Lesion Diagnosis. CoRR abs/2411.05609 (2024) - 2023
- [j1]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: 118635 (2023) - [c6]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: 1596-1610 - [c5]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: 1653-1667 - [c4]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: 3799-3808 - [i4]Cristiano Patrício, João C. Neves, Luís F. Teixeira:
Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion Diagnosis. CoRR abs/2304.04579 (2023) - [i3]Cristiano Patrício, Luís F. Teixeira, João C. Neves:
Towards Concept-based Interpretability of Skin Lesion Diagnosis using Vision-Language Models. CoRR abs/2311.14339 (2023) - 2022
- [c3]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: 1535-1553 - [i2]Cristiano Patrício, João C. Neves, Luís F. Teixeira:
Explainable Deep Learning Methods in Medical Diagnosis: A Survey. CoRR abs/2205.04766 (2022) - 2021
- [c2]Cristiano Patrício, João C. Neves:
ZSpeedL - Evaluating the Performance of Zero-Shot Learning Methods using Low-Power Devices. AVSS 2021: 1-8 - [p1]Cristiano Patrício, Rui Pinto, Gonçalo Marques:
A Study on Software Testing Standard Using ISO/IEC/IEEE 29119-2: 2013. Recent Advances in Intelligent Systems and Smart Applications 2021: 43-62 - [i1]Cristiano Patrício, João Neves:
ZSpeedL - Evaluating the Performance of Zero-Shot Learning Methods using Low-Power Devices. CoRR abs/2110.04535 (2021) - 2020
- [c1]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: 807-814
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