Juan E. Ortuño

Orcid: 0000-0001-6636-602X

Affiliations:
  • Technical University of Madrid (UPM), Biomedical Image Technologies, Spain


According to our database1, Juan E. Ortuño authored at least 13 papers between 2003 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Bibliography

2023
Fetal MRI by Robust Deep Generative Prior Reconstruction and Diffeomorphic Registration.
IEEE Trans. Medical Imaging, March, 2023

2022
Breast Tumor Localization by Prone to Supine Landmark Driven Registration for Surgical Planning.
IEEE Access, 2022

2021
Pig data for 2D-3D intensity-based registration.
Dataset, April, 2021

Fetal MRI by robust deep generative prior reconstruction and diffeomorphic registration: application to gestational age prediction.
CoRR, 2021

2020
Automatic estimation of aortic and mitral valve displacements in dynamic CTA with 4D graph-cuts.
Medical Image Anal., 2020

A New Workflow for Image-Guided Intraoperative Electron Radiotherapy Using Projection-Based Pose Tracking.
IEEE Access, 2020

Stitching Methodology for Whole Slide Low-Cost Robotic Microscope Based on a Smartphone.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Prone to Supine Surface Based Registration Workflow for Breast Tumor Localization in Surgical Planning.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Tumor localization using prone to supine surface based registration for breast cancer surgical planning.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2015
Evaluation of speckle reduction with denoising filtering in optical coherence tomography for dermatology.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2013
DCE@urLAB: a dynamic contrast-enhanced MRI pharmacokinetic analysis tool for preclinical data.
BMC Bioinform., 2013

Registration and Fusion of Contrast-Enhanced MRI Myocardial Substrate Maps and X-ray Angiograms.
Proceedings of the Computing in Cardiology, 2013

2003
A multichannel watershed-based algorithm for supervised texture segmentation.
Pattern Recognit. Lett., 2003


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