17 citations · 60 across the 13 of their papers we have counts for
13 papers
Biomedical image analysis competitions: The state of current participation practice
Matthias Eisenmann, Annika Reinke, Vivienn Weru +352
The number of international benchmarking competitions is steadily increasing in various fields of machine learning (ML) research and practice. So far, however, little is known abou…
Assessing Policy, Loss and Planning Combinations in Reinforcement Learning using a New Modular Architecture
Tiago Gaspar Oliveira, Arlindo L. Oliveira
The model-based reinforcement learning paradigm, which uses planning algorithms and neural network models, has recently achieved unprecedented results in diverse applications, lead…
Assessing the Impact of Attention and Self-Attention Mechanisms on the Classification of Skin Lesions
Rafael Pedro, Arlindo L. Oliveira
Attention mechanisms have raised significant interest in the research community, since they promise significant improvements in the performance of neural network architectures. How…
Using Soft Labels to Model Uncertainty in Medical Image Segmentation
João Lourenço Silva, Arlindo L. Oliveira
Medical image segmentation is inherently uncertain. For a given image, there may be multiple plausible segmentation hypotheses, and physicians will often disagree on lesion and org…
Modelling Neuronal Behaviour with Time Series Regression: Recurrent Neural Networks on C. Elegans Data
Gonçalo Mestre, Ruxandra Barbulescu, Arlindo L. Oliveira +1
Given the inner complexity of the human nervous system, insight into the dynamics of brain activity can be gained from understanding smaller and simpler organisms, such as the nema…
Encoder-Decoder Architectures for Clinically Relevant Coronary Artery Segmentation
João Lourenço Silva, Miguel Nobre Menezes, Tiago Rodrigues +3
Coronary X-ray angiography is a crucial clinical procedure for the diagnosis and treatment of coronary artery disease, which accounts for roughly 16% of global deaths every year. H…
Modeling the geospatial evolution of COVID-19 using spatio-temporal convolutional sequence-to-sequence neural networks
Mário Cardoso, André Cavalheiro, Alexandre Borges +6
Europe was hit hard by the COVID-19 pandemic and Portugal was one of the most affected countries, having suffered three waves in the first twelve months. Approximately between Jan…
Graph Neural Networks for Traffic Forecasting
João Rico, José Barateiro, Arlindo Oliveira
The significant increase in world population and urbanisation has brought several important challenges, in particular regarding the sustainability, maintenance and planning of urba…
Automated Detection of Coronary Artery Stenosis in X-ray Angiography using Deep Neural Networks
Dinis L. Rodrigues, Miguel Nobre Menezes, Fausto J. Pinto +1
Coronary artery disease leading up to stenosis, the partial or total blocking of coronary arteries, is a severe condition that affects millions of patients each year. Automated ide…
Combining Off and On-Policy Training in Model-Based Reinforcement Learning
Alexandre Borges, Arlindo Oliveira
The combination of deep learning and Monte Carlo Tree Search (MCTS) has shown to be effective in various domains, such as board and video games. AlphaGo represented a significant s…
Conditional Random Fields as Recurrent Neural Networks for 3D Medical Imaging Segmentation
Miguel Monteiro, Mário A. T. Figueiredo, Arlindo L. Oliveira
The Conditional Random Field as a Recurrent Neural Network layer is a recently proposed algorithm meant to be placed on top of an existing Fully-Convolutional Neural Network to imp…
Time and Memory Efficient Lempel-Ziv Compression Using Suffix Arrays
Artur Ferreira, Arlindo Oliveira, Mario Figueiredo
The well-known dictionary-based algorithms of the Lempel-Ziv (LZ) 77 family are the basis of several universal lossless compression techniques. These algorithms are asymmetric rega…
On the Use of Suffix Arrays for Memory-Efficient Lempel-Ziv Data Compression
Artur Ferreira, Arlindo Oliveira, Mario Figueiredo
Much research has been devoted to optimizing algorithms of the Lempel-Ziv (LZ) 77 family, both in terms of speed and memory requirements. Binary search trees and suffix trees (ST)…