Mauricio Orbes-Arteaga

According to our database, Mauricio Orbes-Arteaga authored at least 13 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

DermX: An end-to-end framework for explainable automated dermatological diagnosis.

Raluca Jalaboi, Frederik Faye, Mauricio Orbes-Arteaga, Dan Richter Jørgensen, Ole Winther, Alfiia Galimzianova

Medical Image Anal., 2023

2022

Augmentation based unsupervised domain adaptation.

Mauricio Orbes-Arteaga, Thomas Varsavsky, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, M. Jorge Cardoso

CoRR, 2022

2020

Test-Time Unsupervised Domain Adaptation.

Thomas Varsavsky, Mauricio Orbes-Arteaga, Carole H. Sudre, Mark S. Graham, Parashkev Nachev, M. Jorge Cardoso

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation.

Mauricio Orbes-Arteaga, Lauge Sørensen, Manuel Jorge Cardoso, Marc Modat, Sébastien Ourselin, Stefan Sommer, Mads Nielsen, Christian Igel, Akshay Pai

Proceedings of the Medical Imaging 2019: Image Processing, 2019

Knowledge Distillation for Semi-supervised Domain Adaptation.

Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Christian Igel, Sébastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai

Proceedings of the OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging, 2019

Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning.

Mauricio Orbes-Arteaga, Thomas Varsavsky, Carole H. Sudre, Zach Eaton-Rosen, Lewis J. Haddow, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, Parashkev Nachev, M. Jorge Cardoso

Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019

2018

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

Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Marc Modat, Sébastien Ourselin, Mads Nielsen, Akshay Pai

CoRR, 2018

2015

Supervised Brain Tissue Segmentation Using a Spatially Enhanced Similarity Metric.

David Cárdenas-Peña, Mauricio Orbes-Arteaga, Germán Castellanos-Domínguez

Proceedings of the Artificial Computation in Biology and Medicine, 2015

Kernel Centered Alignment Supervised Metric for Multi-Atlas Segmentation.

Mauricio Orbes-Arteaga, David Cárdenas-Peña, Mauricio A. Álvarez, Álvaro Á. Orozco, Germán Castellanos-Domínguez

Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

Spatial-Dependent Similarity Metric Supporting Multi-atlas MRI Segmentation.

Mauricio Orbes-Arteaga, David Cárdenas-Peña, Mauricio A. Álvarez, Álvaro Á. Orozco, Germán Castellanos-Domínguez

Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

Magnetic Resonance Image Selection for Multi-Atlas Segmentation Using Mixture Models.

Mauricio Orbes-Arteaga, David Cárdenas-Peña, Mauricio A. Álvarez, Álvaro Á. Orozco, Germán Castellanos-Domínguez

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

2014

A Kernel-Based Representation to Support 3D MRI Unsupervised Clustering.

David Cárdenas-Peña, Mauricio Orbes-Arteaga, Andrés Eduardo Castro-Ospina, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Kernel-based Atlas Image Selection for brain tissue segmentation.

David Cárdenas-Peña, Mauricio Orbes-Arteaga, Germán Castellanos-Domínguez

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014