activity
20062021
most citedDomain-adversarial neural networks to address the appearance variability of histopathology images

1.1k citations · 1.4k across the 12 of their papers we have counts for

collaborators

12 papers

eess.IV2021★ 7 cited

Topological Similarity Index and Loss Function for Blood Vessel Segmentation

R. J. Araújo, J. S. Cardoso, H. P. Oliveira

Blood vessel segmentation is one of the most studied topics in computer vision, due to its relevance in daily clinical practice. Despite the evolution the field has been facing, es…

cs.CV2021★ 3 cited

Towards Privacy-preserving Explanations in Medical Image Analysis

H. Montenegro, W. Silva, J. S. Cardoso

The use of Deep Learning in the medical field is hindered by the lack of interpretability. Case-based interpretability strategies can provide intuitive explanations for deep learni…

cs.LG2020

Tackling unsupervised multi-source domain adaptation with optimism and consistency

Diogo Pernes, Jaime S. Cardoso

It has been known for a while that the problem of multi-source domain adaptation can be regarded as a single source domain adaptation task where the source domain corresponds to a…

cs.LG2019

SpaMHMM: Sparse Mixture of Hidden Markov Models for Graph Connected Entities

Diogo Pernes, Jaime S. Cardoso

We propose a framework to model the distribution of sequential data coming from a set of entities connected in a graph with a known topology. The method is based on a mixture of sh…

cs.AI2018★ 2 cited

Dimensional emotion recognition using visual and textual cues

Pedro M. Ferreira, Diogo Pernes, Kelwin Fernandes +2

This paper addresses the problem of automatic emotion recognition in the scope of the One-Minute Gradual-Emotional Behavior challenge (OMG-Emotion challenge). The underlying object…

cs.CV2017★ 10 cited

Deep Local Binary Patterns

Kelwin Fernandes, Jaime S. Cardoso

Local Binary Pattern (LBP) is a traditional descriptor for texture analysis that gained attention in the last decade. Being robust to several properties such as invariance to illum…