Raúl San José Estépar

Orcid: 0000-0002-3677-1996

According to our database1, Raúl San José Estépar authored at least 95 papers between 2003 and 2024.

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

Timeline

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Bibliography

2024
CARL: A Framework for Equivariant Image Registration.
CoRR, 2024

MultiGradICON: A Foundation Model for Multimodal Medical Image Registration.
Proceedings of the Biomedical Image Registration - 11th International Workshop, 2024

uniGradICON: A Foundation Model for Medical Image Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Lobar Lung Density Embeddings with a Transformer Encoder (LobTe) to Predict Emphysema Progression in COPD.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

NePhi: Neural Deformation Fields for Approximately Diffeomorphic Medical Image Registration.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Multi-site, Multi-domain Airway Tree Modeling.
Medical Image Anal., December, 2023

Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation.
CoRR, 2023

Inverse Consistency by Construction for Multistep Deep Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Quantitative Biomarkers Reproducibility Using Generative Adversarial Approaches in Reduced to Conventional Dose CT.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency.
CoRR, 2022

Wasserstein-based texture analysis in radiomic studies.
Comput. Medical Imaging Graph., 2022

LiftReg: Limited Angle 2D/3D Deformable Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Deep-learning characterization and quantification of COVID-19 pneumonia lesions from chest CT images.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

2021
Accurate Point Cloud Registration with Robust Optimal Transport.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Biomarker Localization From Deep Learning Regression Networks.
IEEE Trans. Medical Imaging, 2020

Generative-based airway and vessel morphology quantification on chest CT images.
Medical Image Anal., 2020

Position paper on COVID-19 imaging and AI: From the clinical needs and technological challenges to initial AI solutions at the lab and national level towards a new era for AI in healthcare.
Medical Image Anal., 2020

Computer Aided Detection for Pulmonary Embolism Challenge (CAD-PE).
CoRR, 2020

An open-source framework for pulmonary fissure completeness assessment.
Comput. Medical Imaging Graph., 2020

MRI to CTA Translation for Pulmonary Artery Evaluation Using CycleGANs Trained with Unpaired Data.
Proceedings of the Thoracic Image Analysis - Second International Workshop, 2020

Functional-Consistent CycleGAN for CT to Iodine Perfusion Map Translation.
Proceedings of the Thoracic Image Analysis - Second International Workshop, 2020

Multi-cavity Heart Segmentation in Non-contrast Non-ECG Gated CT Scans with F-CNN.
Proceedings of the Thoracic Image Analysis - Second International Workshop, 2020

Estimating Local Tissue Expansion in Thoracic Computed Tomography Images Using Convolutional Neural Networks.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
A graph-cut approach for pulmonary artery-vein segmentation in noncontrast CT images.
Medical Image Anal., 2019

Bronchial Cartilage Assessment with Model-Based GAN Regressor.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Targeting Precision with Data Augmented Samples in Deep Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Abdominal Aortic Aneurysm Segmentation Using Convolutional Neural Networks Trained with Images Generated with a Synthetic Shape Model.
Proceedings of the Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting, 2019

Localizing Image-Based Biomarker Regression Without Training Masks: A New Approach to Biomarker Discovery.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

A SR-NET 3D-to-2D Architecture For Paraseptal Emphysema Segmentation.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Regression of The Navier-Stokes Equation Solutions For Pulmonary Airway Flow Using Neural Networks.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
NOVIFAST: A Fast Algorithm for Accurate and Precise VFA MRI <i>T<sub>1</sub></i> Mapping.
IEEE Trans. Medical Imaging, 2018

Pulmonary Artery-Vein Classification in CT Images Using Deep Learning.
IEEE Trans. Medical Imaging, 2018

Autocalibration method for non-stationary CT bias correction.
Medical Image Anal., 2018

Multiorgan structures detection using deep convolutional neural networks.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

Deep learning for biomarker regression: application to osteoporosis and emphysema on chest CT scans.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

Automated Agatston score computation in non-ECG gated CT scans using deep learning.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

A CT Scan Harmonization Technique to Detect Emphysema and Small Airway Diseases.
Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

Statistical Framework for the Definition of Emphysema in CT Scans: Beyond Density Mask.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

3D Pulmonary Artery Segmentation from CTA Scans Using Deep Learning with Realistic Data Augmentation.
Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

Diffeomorphic Lung Registration Using Deep CNNs and Reinforced Learning.
Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

Accurate Measurement of Airway Morphology on Chest CT Images.
Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

Multi-structure Segmentation from Partially Labeled Datasets. Application to Body Composition Measurements on CT Scans.
Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

On the Relevance of the Loss Function in the Agatston Score Regression from Non-ECG Gated CT Scans.
Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

Emphysema quantification on simulated X-rays through deep learning techniques.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Emphysema classification using a multi-view convolutional network.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
A Bayesian Nonparametric Model for Disease Subtyping: Application to Emphysema Phenotypes.
IEEE Trans. Medical Imaging, 2017

Statistical characterization of noise for spatial standardization of CT scans: Enabling comparison with multiple kernels and doses.
Medical Image Anal., 2017

CT Image Enhancement for Feature Detection and Localization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Deep-learning strategy for pulmonary artery-vein classification of non-contrast CT images.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Increasing the impact of medical image computing using community-based open-access hackathons: The NA-MIC and 3D Slicer experience.
Medical Image Anal., 2016

Computer keyboard interaction as an indicator of early Parkinson's disease.
CoRR, 2016

Unsupervised Discovery of Emphysema Subtypes in a Large Clinical Cohort.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

Inferring Disease Status by Non-parametric Probabilistic Embedding.
Proceedings of the Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging, 2016

Derivation of a test statistic for emphysema quantification.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Automated Agatston score computation in a large dataset of non ECG-gated chest computed tomography.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
Automatic ventricle detection in Computed Tomography Pulmonary Angiography.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

A Feature-Based Approach to Big Data Analysis of Medical Images.
Proceedings of the Information Processing in Medical Imaging, 2015

Generative Method to Discover Genetically Driven Image Biomarkers.
Proceedings of the Information Processing in Medical Imaging, 2015

2014
Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study.
Medical Image Anal., 2014

Extended Gabor approach applied to classification of emphysematous patterns in computed tomography.
Medical Biol. Eng. Comput., 2014

Pectoralis Muscle Segmentation on CT Images Based on Bayesian Graph Cuts with a Subject-Tailored Atlas.
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2014

Airway labeling using a Hidden Markov Tree Model.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Ranking and classification of monotonic emphysema patterns with a multi-class hierarchical approach.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Deformable Registration of Feature-Endowed Point Sets Based on Tensor Fields.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Spherical Topic Models for Imaging Phenotype Discovery in Genetic Studies.
Proceedings of the Bayesian and grAphical Models for Biomedical Imaging, 2014

2013
Surgical Workflow Analysis, Design and Development of an Image-Based Navigation System for Endoscopic Interventions.
Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2013

Diffeomorphic point set registration using non-stationary mixture models.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Modeling airway probability.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Emphysema classification based on embedded probabilistic PCA.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Advances in Texture Analysis for Emphysema Classification.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

2012
Emphysema quantification in a multi-scanner HRCT cohort using local intensity distributions.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Computational vascular morphometry for the assessment of pulmonary vascular disease based on scale-space particles.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Automatic airway analysis for genome-wide association studies in COPD.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Aorta segmentation with a 3D level set approach and quantification of aortic calcifications in non-contrast chest CT.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2010
Automatic Lung Lobe Segmentation Using Particles, Thin Plate Splines, and Maximum a Posteriori Estimation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Hidden Markov Model for Quantifying Clinician Expertise in Flexible Instrument Manipulation.
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010

New Kinematic Metric for Quantifying Surgical Skill for Flexible Instrument Manipulation.
Proceedings of the Information Processing in Computer-Assisted Interventions, 2010

2009
Sampling and Visualizing Creases with Scale-Space Particles.
IEEE Trans. Vis. Comput. Graph., 2009

Towards real time 2D to 3D registration for ultrasound-guided endoscopic and laparoscopic procedures.
Int. J. Comput. Assist. Radiol. Surg., 2009

Lung Extraction, Lobe Segmentation and Hierarchical Region Assessment for Quantitative Analysis on High Resolution Computed Tomography Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

2008
Image Registration Assists Novice Operators in Ultrasound Assessment of Abdominal Trauma.
Proceedings of the Medicine Meets Virtual Reality 16, 2008

2007
Natural Orifice Transluminal Endoscopic Surgery (NOTES): An Opportunity for Augmented Reality Guidance.
Proceedings of the Medicine Meets Virtual Reality 15, 2007

Geodesic-Loxodromes for Diffusion Tensor Interpolation and Difference Measurement.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Open-Source Environment for Interactive Finite Element Modeling of Optimal ICD Electrode Placement.
Proceedings of the Functional Imaging and Modeling of the Heart, 2007

2006
Accurate Airway Wall Estimation Using Phase Congruency.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

Towards Scarless Surgery: An Endoscopic-Ultrasound Navigation System for Transgastric Access Procedures.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

On diffusion tensor estimation.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

A Kernel-Based Approach for User-Guided Fiber Bundling using Diffusion Tensor Data.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Image Quality Assessment based on Local Variance.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005
Pull-push level sets: a new term to encode prior knowledge for the segmentation of teeth images.
Proceedings of the Medical Imaging 2005: Image Processing, 2005

Riemannian Mean Curvature Flow.
Proceedings of the Advances in Visual Computing, First International Symposium, 2005

2004
Robust Generalized Total Least Squares Iterative Closest Point Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

2003
Freehand Ultrasound Reconstruction Based on ROI Prior Modeling and Normalized Convolution.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003

A Novel Gauss-Markov Random Field Approach for Regularization of Diffusion Tensor Maps.
Proceedings of the Computer Aided Systems Theory, 2003


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