Mauricio Orbes-Arteaga | DeepAI

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∙ 02/23/2022

Augmentation based unsupervised domain adaptation

The insertion of deep learning in medical image analysis had lead to the...

0 Mauricio Orbes-Arteaga, et al. ∙

∙ 02/14/2022

DermX: an end-to-end framework for explainable automated dermatological diagnosis

Dermatological diagnosis automation is essential in addressing the high ...

6 Raluca Jalaboi, et al. ∙

∙ 10/05/2020

Test-time Unsupervised Domain Adaptation

Convolutional neural networks trained on publicly available medical imag...

0 Thomas Varsavsky, et al. ∙

∙ 08/16/2019

Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning

Supervised learning algorithms trained on medical images will often fail...

6 Mauricio Orbes-Arteaga, et al. ∙

∙ 08/16/2019

Knowledge distillation for semi-supervised domain adaptation

In the absence of sufficient data variation (e.g., scanner and protocol ...

1 Mauricio Orbes-Arteaga, et al. ∙

∙ 10/03/2018

PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation

For proper generalization performance of convolutional neural networks (...

4 Mauricio Orbes-Arteaga, et al. ∙

∙ 08/20/2018

Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs

Segmenting vascular pathologies such as white matter lesions in Brain ma...

0 Mauricio Orbes-Arteaga, et al. ∙

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