TA
Tiago Azevedo
University of Cambridge, Arm Ltd, Universidade do Porto
Research areas: Computer Science · Computer Vision and Pattern Recognition · Advanced Neural Network Applications · Functional Brain Connectivity Studies · Advanced Neuroimaging Techniques and Applications
Employment
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University of Cambridge Research Associate2023 - Present
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Arm Ltd Senior ML Research Scientist2021 - 2022
Education
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University of Cambridge PhD in Computer Science2016 - 2022
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University of Porto Master in Informatics and Computing Engineering2010 - 2015
Projects & Funding
Projects & funding information is unavailable.
Publications (20)
- Do We Need Curved Spaces? A Critical Look at Hyperbolic Graph Learning in Graph Classification Save
- Uncertainty-Aware Tau Detection in Progressive Supranuclear Palsy Using Object Detection Models Save
- Real-Time Intraoperative Decision-Making in Head and Neck Tumor Surgery: A Histopathologically Grounded Hyperspectral Imaging and Deep Learning Approach Save
- Artificial intelligence for diagnostic and prognostic neuroimaging in dementia: A systematic review Save
- Identifying healthy individuals with Alzheimer’s disease neuroimaging phenotypes in the UK Biobank Save
- Data-driven Representations in Brain Science: Modelling Approaches in Gene Expression and Neuroimaging Domains Save
- A deep graph neural network architecture for modelling spatio-temporal dynamics in resting-state functional MRI data Save
- Identifying healthy individuals with Alzheimer neuroimaging phenotypes in the UK Biobank Save
- Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits Save
- A Deep Graph Neural Network Architecture for Modelling Spatio-temporal Dynamics in resting-state functional MRI Data Save
- Stochastic-YOLO: Efficient Probabilistic Object Detection under Dataset Shifts Save
- Population Graph GNNs for Brain Age Prediction Save
- Gene Expression Imputation with Generative Adversarial Imputation Nets Save
- Multilayer modelling and analysis of the human transcriptome Save
- Integration of Machine Learning Methods to Dissect Genetically Imputed Transcriptomic Profiles in Alzheimer’s Disease Save
- A Machine Learning Tool for Interpreting Differences in Cognition Using Brain Features Save
- Densifying the Sparse Cloud SimSaaS: The need of a Synergy among Agent-directed Simulation, SimSaaS and HLA Save
- From the Ground to the Cloud: Towards an Integrated Transportation Simulation Platform Save
- A State-of-the-art Integrated Transportation Simulation Platform Save
- JADE, TraSMAPI and SUMO: A tool-chain for simulating traffic light control Save