Arlindo Oliveira

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Instituto Superior Técnico

Portugal

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Recent Grants

Grant: Close

Precise and Efficient Learning using Attention Mechanisms (PRELUNA)

Open Date: 2022-01-01

Close Date: 2024-12-30

Grant: Close

INTAKE: INtegrating mobility daTa into spAtial risK modEls

Open Date: 2020-07-01

Close Date: 2021-05-31

Grant: Close

iLU: Aprendizagem Avançada em Dados Urbanos com Contexto Situacional para Optimização da Mobilidade nas Cidades

Open Date: 2019-01-01

Close Date: 2021-12-01

Grant: Close

Algoritmos para Redução de Modelos e Simulação Eficiente de Redes Neuronais Realistas

Open Date: 2018-10-01

Close Date: 2021-09-01

Grant: Close

Promoção do avanço significativo do conhecimento na área de medicina de precisão e sua translação para benefício da sociedade

Open Date: 2016-12-01

Close Date: 2020-11-01

Articles (13)

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2025

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2023

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PORTUGAL

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Maria Joao Pereira

Full Professor

Universidade de Lisboa Instituto Superior Técnico

PORTUGAL

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Fausto J. Pinto

Head

Centro Hospitalar Lisboa Norte

PORTUGAL

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Arlindo Oliveira

Research Interests

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Recent Grants

Articles (13)

Non-invasive derivation of instantaneous free-wave ratio from invasive coronary angiography using a new deep learning artificial intelligence model and comparison with human operators’ performance

Enhancing the Interpretation of Spirometry: Joint Utilization of n-Order Adaptive Fourier Decomposition and Deep Learning Techniques

Old Habits Die Hard: Can AI Help Bring Coronary Angiography Into the 21st Century?

Coronary physiology instantaneous wave-free ratio (iFR) derived from x-ray angiography using artificial intelligence deep learning models: a pilot study.

Multiple Instance Learning for WSI: A comparative analysis of attention-based approaches

Training environmental sound classification models for real-world deployment in edge devices

Coronary X-ray angiography segmentation using Artificial Intelligence: a multicentric validation study of a deep learning model.

Artificial intelligence-based diagnosis of acute pulmonary embolism: Development of a machine learning model using 12-lead electrocardiogram.

Learning the dynamics of realistic models of C. elegans nervous system with recurrent neural networks

Deep Learning-Based Extraction of Biomarkers for the Prediction of the Functional Outcome of Ischemic Stroke Patients

Temporary impact on medical system and effectiveness of mitigation strategies after COVID-19 policy adjustment in China: a modeling study

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

A blueprint for conscious machines

Collaborators (7)

Miguel Nobre Menezes

José M Ferro

Ana Catarina Fonseca

Nuno Nunes

Amilcar Soares

Maria Joao Pereira

Fausto J. Pinto

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