Search Results - "Maiora, Josu"

Older Adult Fall Risk Prediction with Deep Learning and Timed Up and Go (TUG) Test Data by Maiora, Josu, Rezola-Pardo, Chloe, García, Guillermo, Sanz, Begoña, Graña, Manuel

“…Falls are a major health hazard for older adults; therefore, in the context of an aging population, predicting the risk of a patient suffering falls in the…”
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Active Learning with Bootstrapped Dendritic Classifier applied to medical image segmentation by Chyzhyk, Darya, Ayerdi, Borja, Maiora, Josu

“…•Bootstrapped Dendritic Classifier for image segmentation.•Active Learning of BDC training interactive creation of learning sample data.•Validation on…”
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Hybrid dendritic computing with kernel-LICA applied to Alzheimer's disease detection in MRI by Chyzhyk, Darya, Graña, Manuel, Savio, Alexandre, Maiora, Josu

“…Dendritic computing has been proved to produce perfect approximation of any data distribution. This result guarantees perfect accuracy training. However, we…”
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Random forest active learning for AAA thrombus segmentation in computed tomography angiography images by Maiora, Josu, Ayerdi, Borja, Graña, Manuel

“…Image segmentation of 3D Computed Tomography Angiography (CTA) is affected by a variety of noise conditions that may render ineffective image segmentation…”
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Evaluation of Texture for Classification of Abdominal Aortic Aneurysm After Endovascular Repair by García, Guillermo, Maiora, Josu, Tapia, Arantxa, De Blas, Mariano

“…The use of the endovascular prostheses in abdominal aortic aneurysm has proven to be an effective technique to reduce the pressure and rupture risk of…”
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Abdominal CTA image analisys through active learning and decision random forests: Aplication to AAA segmentation by Maiora, J., Grana, M.

“…Abdominal Aortic Aneurysm (AAA) is a local dilation of the Aorta that occurs between the renal and iliac arteries. The weakening of the aortic wall leads to…”
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Active learning of Hybrid Extreme Rotation Forests for CTA image segmentation by Ayerdi, B., Maiora, J., Grana, M.

“…This paper proposes a Hybrid Extreme Rotation Forest (HERF) classifier for segmentation of 3D Computed Tomography Angiography (CTA) following an Active…”
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