Juan J. Cerrolaza

According to our database1, Juan J. Cerrolaza authored at least 46 papers between 2007 and 2020.

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Bibliography

2020
Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models.
IEEE Trans. Medical Imaging, 2020

Ultrasound-Based Phenotyping of Lateral Ventricles to Predict Hydrocephalus Outcome in Premature Neonates.
IEEE Trans. Biomed. Eng., 2020

A Generic Approach to Lung Field Segmentation From Chest Radiographs Using Deep Space and Shape Learning.
IEEE Trans. Biomed. Eng., 2020

2019
Computational anatomy for multi-organ analysis in medical imaging: A review.
Medical Image Anal., 2019

Explainable Shape Analysis through Deep Hierarchical Generative Models: Application to Cardiac Remodeling.
CoRR, 2019

Automatic Segmentation of The Renal Collecting System in 3D Pediatric Ultrasound to Assess the Severity of Hydronephrosis.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

3D High-Resolution Cardiac Segmentation Reconstruction From 2D Views Using Conditional Variational Autoencoders.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Small Organ Segmentation in Whole-Body MRI Using a Two-Stage FCN and Weighting Schemes.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Fast Multiple Landmark Localisation Using a Patch-Based Iterative Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

3D Fetal Skull Reconstruction from 2DUS via Deep Conditional Generative Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Automatic kidney segmentation in 3D pediatric ultrasound images using deep neural networks and weighted fuzzy active shape model.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Deep learning with ultrasound physics for fetal skull segmentation.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Automatic Segmentation of Neonatal Ventricles from Cranial Ultrasound for Prediction of Intraventricular Hemorrhage Outcome.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Fetal Skull Reconstruction via Deep Convolutional Autoencoders.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Marginal shape deep learning: applications to pediatric lung field segmentation.
Proceedings of the Medical Imaging 2017: Image Processing, 2017

Fetal Skull Segmentation in 3D Ultrasound via Structured Geodesic Random Forest.
Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017

Cranial ultrasound-based prediction of post hemorrhagic hydrocephalus outcome in premature neonates with intraventricular hemorrhage.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Design of patient-specific concentric tube robots using path planning from 3-D ultrasound.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Deep Learning Guided Partitioned Shape Model for Anterior Visual Pathway Segmentation.
IEEE Trans. Medical Imaging, 2016

Renal Segmentation From 3D Ultrasound via Fuzzy Appearance Models and Patient-Specific Alpha Shapes.
IEEE Trans. Medical Imaging, 2016

Soft Multi-organ Shape Models via Generalized PCA: A General Framework.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Semi-automatic assessment of pediatric hydronephrosis severity in 3D ultrasound.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016

Identification of dysmorphic syndromes using landmark-specific local texture descriptors.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
Hierarchical multi-resolution decomposition of statistical shape models.
Signal Image Video Process., 2015

Automatic multi-resolution shape modeling of multi-organ structures.
Medical Image Anal., 2015

Partitioned Shape Modeling with On-the-Fly Sparse Appearance Learning for Anterior Visual Pathway Segmentation.
Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2015

Positive Delta Detection for Alpha Shape Segmentation of 3D Ultrasound Images of Pathologic Kidneys.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Quantification, validation, and follow-up of small bowel motility in Crohn's disease.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Quantification of kidneys from 3D ultrasound in pediatric hydronephrosis.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Weighted Partitioned Active Shape Model for Optic Pathway Segmentation in MRI.
Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2014

Generalized Multiresolution Hierarchical Shape Models via Automatic Landmark Clusterization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Hierarchical Shape Modeling of the Cochlea and Surrounding Risk Structures for Minimally Invasive Cochlear Implant Surgery.
Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2014

Ultrasound based computer-aided-diagnosis of kidneys for pediatric hydronephrosis.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014

Segmentation of kidney in 3D-ultrasound images using Gabor-based appearance models.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
MR Enterography Image Fusion in Small Bowel Analysis.
Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2013

Multiresolution Hierarchical Shape Models in 3D Subcortical Brain Structures.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2012
Study of Polynomial Mapping Functions in Video-Oculography Eye Trackers.
ACM Trans. Comput. Hum. Interact., 2012

Hierarchical Statistical Shape Models of Multiobject Anatomical Structures: Application to Brain MRI.
IEEE Trans. Medical Imaging, 2012

Full Multiresolution Active Shape Models.
J. Math. Imaging Vis., 2012

Error characterization and compensation in eye tracking systems.
Proceedings of the 2012 Symposium on Eye-Tracking Research and Applications, 2012

2011
Fully-automatic glottis segmentation with active shape models.
Proceedings of the 7th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, 2011

Shape Constraint Strategies: Novel Approaches and Comparative Robustness.
Proceedings of the British Machine Vision Conference, 2011

2008
Taxonomic study of polynomial regressions applied to the calibration of video-oculographic systems.
Proceedings of the Eye Tracking Research & Application Symposium, 2008

2007
Geometry Issues of a Gaze Tracking System.
Proceedings of the Universal Access in Human-Computer Interaction. Ambient Interaction, 2007


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