Publications

Curated research outputs from the MLKD group.

all types Journal Conference Book / Chapter Preprint

2022

Using Soft Labels to Model Uncertainty in Medical Image Segmentation

João Lourenço Silva, Arlindo L. Oliveira

Lecture notes in computer science book

Modeling the Geospatial Evolution of COVID-19 using Spatio-temporal Convolutional Sequence-to-sequence Neural Networks

Mário Cardoso, André Cavalheiro, Alexandre Borges, Ana Filipa Duarte, A. Soares, Maria João Veloso da Costa Ramos Pereira, Nuno Nunes, Leonardo Azevedo, Arlindo L. Oliveira

ACM Transactions on Spatial Algorithms and Systems journal summary

Encoder-Decoder Architectures for Clinically Relevant Coronary Artery Segmentation

João Lourenço Silva, Miguel Nobre Menezes, Tiago Rodrigues, Beatriz Silva, Fausto J. Pinto, Arlindo L. Oliveira

Lecture notes in computer science book

Assessing the Impact of Attention and Self-Attention Mechanisms on the Classification of Skin Lesions

Rafael Pedro, Arlindo L. Oliveira

2022 International Joint Conference on Neural Networks (IJCNN) conference summary

Development of deep learning segmentation models for coronary X-ray angiography: Quality assessment by a new global segmentation score and comparison with human performance

Miguel Nobre Menezes, João Lourenço-Silva, Beatriz Silva, Tiago Rodrigues, Ana Rita Francisco, Pedro Santos Ferreira, Arlindo L. Oliveira, Fausto J. Pinto

Revista Portuguesa de Cardiologia journal summary

2021

Combining Off and On-Policy Training in Model-Based Reinforcement\n Learning

Alexandre Borges, Arlindo L. Oliveira

arXiv (Cornell University) preprint summary

Modelling Neuronal Behaviour with Time Series Regression: Recurrent\n Neural Networks on C. Elegans Data

Gonçalo Mestre, Ruxandra Bărbulescu, Arlindo L. Oliveira, L. Miguel Silveira

arXiv (Cornell University) preprint summary

Automated Detection of Coronary Artery Stenosis in X-ray Angiography using Deep Neural Networks

Dinis L. Rodrigues, Miguel Nobre Menezes, Fausto J. Pinto, Arlindo L. Oliveira

arXiv (Cornell University) preprint summary

Artificial Intelligence Applications in Stroke

Arlindo L. Oliveira

book

2020

Graph Neural Networks for Traffic Forecasting

João Rico, José Barateiro, Arlindo L. Oliveira

OMAINTEC journal. journal summary

2019

The bio.tools registry of software tools and data resources for the life sciences

Jon Ison, Hans Ienasescu, Piotr Jaroslaw Chmura, Emil Rydza, Hervé Ménager, Matúš Kalaš, Veit Schwämmle, Björn Grüning, Niall Beard, Rodrigo López, Séverine Duvaud, Heinz Stockinger, Bertil Persson, Radka Svobodová Vařeková, Tomáš Raček, Jiřı́ Vondrášek, Hedi Peterson, Ahto Salumets, Inge Jonassen, Rob Hooft, Tommi Nyrönen, Alfonso Valencia, Salvador Capella-Gutiérrez, Josep Lluis Gelpí, Federico Zambelli, Babis Savakis, Brane Leskošek, Kristoffer Rapacki, Christophe Blanchet, Rafael C. Jiménez, Arlindo L. Oliveira, Gert Vriend, Olivier Collin, Jacques van Helden, Peter Løngreen, Søren Brunak

Genome biology journal summary

Biotechnology, Big Data and Artificial Intelligence

Arlindo L. Oliveira

Biotechnology Journal journal summary

2018

Sparse network-based regularization for the analysis of patientomics high-dimensional survival data

André Veríssimo, Eunice Carrasquinha, Marta B. Lopes, Arlindo L. Oliveira, Marie‐France Sagot, Susana Vinga

bioRxiv (Cold Spring Harbor Laboratory) preprint summary

Conditional Random Fields as Recurrent Neural Networks for 3D Medical Imaging Segmentation

Miguel Monteiro, Mário A. T. Figueiredo, Arlindo L. Oliveira

arXiv (Cornell University) preprint summary

Making algorithms work for us

Arlindo L. Oliveira

Nature Electronics journal

Computer Architecture

Guilherme Arroz, José Monteiro, Arlindo L. Oliveira

WORLD SCIENTIFIC eBooks book

Computational Approach to the Discovery of Phytochemical Molecules with Therapeutic Potential Targets to the PKCZ protein

Poliany Graziella de Freitas, Thiago C. Elias, Icaro Alves Pinto, Luciano T. Costa, Paulo Vinícius Sanches Daltro de Carvalho, Daniel de Queiroz Omote, Ihosvany Camps, Tati Ishikawa, Helen Andrade Arcuri, Susana Vinga, Arlindo L. Oliveira, Walter Filgueira de Azevedo, Nelson José Freitas da Silveira

Letters in Drug Design & Discovery journal

Using Machine Learning to Improve the Prediction of Functional Outcome in Ischemic Stroke Patients

Miguel Monteiro, Ana Catarina Fonseca, Ana T. Freitas, Teresa Pinho e Melo, Alexandre P. Francisco, José M. Ferro, Arlindo L. Oliveira

IEEE/ACM Transactions on Computational Biology and Bioinformatics journal summary

ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI

Stefan Winzeck, Arsany Hakim, Richard McKinley, José A. A. D. S. R. Pinto, Victor Alves, Carlos A. Silva, Maxim Pisov, Egor Krivov, Mikhail Belyaev, Miguel Monteiro, Arlindo L. Oliveira, Youngwon Choi, Myunghee Cho Paik, Yongchan Kwon, Hanbyul Lee, Beom Joon Kim, Joong‐Ho Won, Mobarakol Islam, Hongliang Ren, David Robben, Paul Suetens, Enhao Gong, Yilin Niu, Junshen Xu, John M. Pauly, Christian Lucas, Mattias P. Heinrich‬, Luis Carlos Rivera Monroy, Laura Silvana Castillo, Laura Daza, Andrew Beers, Pablo Arbelaezs, Oskar Maier, Ken Chang, James M. Brown, Jayashree Kalpathy–Cramer, Greg Zaharchuk, Roland Wiest, Mauricio Reyes

Frontiers in Neurology journal summary