Publications

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Gabriel Maicas, Gerard Snaauw, Andrew P. Bradley, Ian Reid, Gustavo Carneiro. Model Agnostic Saliency for Weakly Supervised Lesion Detection from Breast DCE-MRI. In ISBI, 2019.

Gerard Snaauw, Dong Gong, Gabriel Maicas, Anton Van Den Hengel, Wiro Niessen, Johan Verjans, Gustavo Carneiroo. End-to-End Diagnosis and Segmentation Learning from Cardiac Magnetic Resonance Imaging. In ISBI, 2019.

Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian Reid, Gustavo Carneiro. Pre and Post-hoc Diagnosis and Interpretation of Malignancy from Breast DCE-MRI. Preprint, 2018.

Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian Reid, Gustavo Carneiro. Training Medical Image Analysis Systems like Radiologists. In MICCAI, 2018.

Danail Stoyanov, Taylor Zeike, Kainz Bernhard, Gabriel Maicas et al., eds.. Image Analysis for Moving Organ, Breast, and Thoracic Images: Third International Workshop, RAMBO 2018, Fourth International Workshop, BIA 2018, and First International Workshop, TIA 2018, Held in Conjunction with MICCAI. In MICCAI, 2018.

Gabriel Maicas, Gustavo Carneiro, Andrew P. Bradley, Jacinto C. Nascimento, Ian Reid. Deep Reinforcement Learning for Active Breast Lesion Detection from DCE-MRI. In MICCAI, 2017.

Gabriel Maicas, Gustavo Carneiro, Andrew P. Bradley. Globally optimal breast mass segmentation from DCE-MRI using deep semantic segmentation as shape prior. In ISBI, 2017.

Gabriel Maicas, Ana I. Muñoz , Gonzalo Galiano, A. Ben Hamza, Emanuele Schiavi, for the Alzheimer’s Disease Neuroimaging Initiative. Spectral Shape Analysis of the Hippocampal Structure for Alzheimer’s Disease Diagnosis. Trends in Differential Equations and Applications, 2016.

Gabriel Maicas. On shape biomarkers for Alzheimer’s disease: the Laplace-Beltrami operator. MsC. Thesis, 2014.