Search Results - "Malafaia, Mafalda"
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Robustness analysis of Deep Learning-based lung cancer classification using explainable methods
Published in IEEE access (2022)“…Deep Learning (DL) based classification algorithms have been shown to achieve top results in clinical diagnosis, namely with lung cancer datasets. However, the…”
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Journal Article -
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Towards Machine Learning-Aided Lung Cancer Clinical Routines: Approaches and Open Challenges
Published in Journal of personalized medicine (16-03-2022)“…Advancements in the development of computer-aided decision (CAD) systems for clinical routines provide unquestionable benefits in connecting human medical…”
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Journal Article -
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MagNeed - Needle-Shaped Electromagnets for Localized Actuation Within Compact Workspaces
Published in IEEE robotics and automation letters (01-06-2023)“…Electromagnetic actuation of micro-/milli-sized agents has traditionally relied on large electromagnets positioned at considerable distances from the agents…”
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Journal Article -
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Neuroblastoma Cancer Radiogenomics
Published 01-01-2022“…O Neuroblastoma (NB) é o tipo de tumor extracraniano mais comum em casos pediátricos. Devido à sua baixa taxa de incidência e ao seu comportamento heterogéneo,…”
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Dissertation -
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MultiFIX: An XAI-friendly feature inducing approach to building models from multimodal data
Published 19-02-2024“…In the health domain, decisions are often based on different data modalities. Thus, when creating prediction models, multimodal fusion approaches that can…”
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Journal Article -
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Improving the efficiency of GP-GOMEA for higher-arity operators
Published 15-02-2024“…Deploying machine learning models into sensitive domains in our society requires these models to be explainable. Genetic Programming (GP) can offer a way to…”
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Journal Article -
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Ensemble Strategies for EGFR Mutation Status Prediction in Lung Cancer
Published in 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (01-11-2021)“…Lung cancer treatments that are accurate and effective are urgently needed. The diagnosis of advanced-stage patients accounts for the majority of the cases,…”
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Conference Proceeding Journal Article