Deep Learning and its applications to Medical Image Processing

25 Maio 2026, 09:30 • Alexandre da Rocha Freire de Andrade

Deep Learning: basic principles. Convolutional Neural Networks. Semantic segmentation. Generative Adversarial Networks. Applications of DL to Medical Image Processing: some examples.

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Machine learning applied to features extracted from biomedical signal/image processing.

20 Maio 2026, 08:30 • Daniela Marques Godinho

K-Nearest Neighbors and SVMs applied to ECG (arrhytmia detection) and mammography (tumor assessment). MATLAB's Classification Learner App. Project discussion.

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Machine learning applied to features extracted from biomedical signal/image processing.

18 Maio 2026, 10:30 • Alexandre da Rocha Freire de Andrade

K-Nearest Neighbors and SVMs applied to ECG (arrhytmia detection) and mammography (tumor assessment). Matlab's Classification Learner App.

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Machine learning applied to features extracted from biomedical signal/image processing.

18 Maio 2026, 09:30 • Alexandre da Rocha Freire de Andrade

Basic principles of machine learning: supervised vs unsupervised learning, types of classifiers, performance metrics.

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Analysis of functional magnetic resonance images

13 Maio 2026, 08:30 • Daniela Marques Godinho

Download of a sample dataset (motor task). Pre-processing using SPM12: format conversion, realignment, slice-timing correction, co-register, normalization, smoothing. Model definition and statistical inference. Project discussion.

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