Search Results for author: João C. Neves

Found 4 papers, 4 papers with code

Towards Concept-based Interpretability of Skin Lesion Diagnosis using Vision-Language Models

1 code implementation24 Nov 2023 Cristiano Patrício, Luís F. Teixeira, João C. Neves

Concept-based models naturally lend themselves to the development of inherently interpretable skin lesion diagnosis, as medical experts make decisions based on a set of visual patterns of the lesion.

Lesion Classification Skin Lesion Classification

Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion Diagnosis

1 code implementation10 Apr 2023 Cristiano Patrício, João C. Neves, Luís F. Teixeira

Early detection of melanoma is crucial for preventing severe complications and increasing the chances of successful treatment.

Hard Attention Lesion Classification +1

GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection

2 code implementations13 Nov 2019 João C. Neves, Ruben Tolosana, Ruben Vera-Rodriguez, Vasco Lopes, Hugo Proença, Julian Fierrez

The availability of large-scale facial databases, together with the remarkable progresses of deep learning technologies, in particular Generative Adversarial Networks (GANs), have led to the generation of extremely realistic fake facial content, raising obvious concerns about the potential for misuse.

Face Generation Steganalysis

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