Joanna Wardlaw | DeepAI

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research

∙ 08/03/2023

Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images

Segmentation masks of pathological areas are useful in many medical appl...

0 Alessandro Fontanella, et al. ∙

research

∙ 03/27/2023

ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging

In some medical imaging tasks and other settings where only small parts ...

0 Alessandro Fontanella, et al. ∙

research

∙ 10/25/2018

GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks

One of the biggest issues facing the use of machine learning in medical ...

4 Christopher Bowles, et al. ∙

research

∙ 04/05/2018

Machine learning of neuroimaging to diagnose cognitive impairment and dementia: a systematic review and comparative analysis

INTRODUCTION: Advanced machine learning methods might help to identify d...

0 Enrico Pellegrini, et al. ∙