Marcela Hernández Hoyos

发表

Empirical evaluation of general-purpose image features for pathology-oriented image retrieval of Alzheimer Disease cases

John Puentes, Ricardo Antonio Mendoza Leon, Fabio A. González, 2016 .

Automatic detection of abnormal vascular cross-sections based on density level detection and support vector machines

Maria A. Zuluaga, Isabelle E. Magnin, Fernando Lozano, 2010, International Journal of Computer Assisted Radiology and Surgery.

Feature Selection for SVM-Based Vascular Anomaly Detection

Maria A. Zuluaga, Marcela Hernández Hoyos, Edgar J. F. Delgado Leyton, 2010, MCV.

Single-slice Alzheimer's disease classification and disease regional analysis with Supervised Switching Autoencoders

John Puentes, Marcela Hernández Hoyos, Ricardo Mendoza-Leon, 2019, Comput. Biol. Medicine.

Evaluation framework for carotid bifurcation lumen segmentation and stenosis grading

Leo Joskowicz, Maria A. Zuluaga, Karl Krissian, 2011, Medical Image Anal..

Cortical thickness measurement from magnetic resonance images using partial volume estimation

Sébastien Ourselin, Maria A. Zuluaga, Olivier Salvado, 2008, SPIE Medical Imaging.

Can the Coronary Artery Centerline Extraction in Computed Tomography Images Be Improved by Use of a Partial Volume Model?

Maria A. Zuluaga, Marcela Hernández Hoyos, Edgar J. F. Delgado Leyton, 2010, ICCVG.

A tree‐matching algorithm: Application to airways in CT images of subjects with the acute respiratory distress syndrome

Marcela Hernández Hoyos, Maciej Orkisz, Leonardo Florez-Valencia, 2017, Medical Image Anal..

Segmentation anisotrope 3D pour la quantification en imagerie vasculaire par résonance magnétique. (3D anisotropic segmentation for quantification in vascular magnetic resonance imaging)

Marcela Hernández Hoyos, 2002 .

Recursive tracking of vascular tree axes in 3D medical images

Marcela Hernández Hoyos, Maciej Orkisz, Juan F. Carrillo, 2007, International Journal of Computer Assisted Radiology and Surgery.

Airway-Tree Segmentation in Subjects with Acute Respiratory Distress Syndrome

Örjan Smedby, Marcela Hernández Hoyos, Hans Frimmel, 2017, SCIA.

A Fast Lesion Registration to Assist Coronary Heart Disease Diagnosis in CTA Images

Maria A. Zuluaga, Marcela Hernández Hoyos, Maciej Orkisz, 2012, ICCVG.

Vascular Centerline Extraction in 3D MR Angiograms for Phase Contrast MRI Blood Flow Measurement

Ewa Piatkowska-Janko, Marcela Hernández Hoyos, Piotr Bogorodzki, 2006, International Journal of Computer Assisted Radiology and Surgery.

Extraction of 3D Vascular Tree Skeletons Based on the Analysis of Connected Components Evolution

Marcela Hernández Hoyos, Maciej Orkisz, Juan F. Carrillo, 2005, CAIP.

A Modular Workflow Architecture for Coronary Centerline Extraction in Computed Tomography Angiography Data

Marcela Hernández Hoyos, Maciej Orkisz, Leonardo Florez-Valencia, 2014, ICCVG.

CreaTools: A Framework to Develop Medical Image Processing Software: Application to Simulate Pipeline Stent Deployment in Intracranial Vessels with Aneurysms

Frederic Cervenansky, Marcela Hernández Hoyos, Maciej Orkisz, 2012, ICCVG.

Evaluation of semi-automatic arterial stenosis quantification

Isabelle E. Magnin, Marcela Hernández Hoyos, Maciej Orkisz, 2006, International Journal of Computer Assisted Radiology and Surgery.

Vascular centerline extraction in 3D MR angiograms to optimize acquisition plane for blood flow measurement by phase contrast MRI

Marcela Hernández Hoyos, Piotr Bogorodzki, Maciej Orkisz, 2005 .

Adaptation of the MARACAS Algorithm for Carotid Artery Segmentation and Stenosis Quantification on CT Images

Maria A. Zuluaga, Marcela Hernández Hoyos, Vincent Dore, 2010 .

Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithms

Martin Styner, Karl Krissian, Simon K. Warfield, 2009, Medical Image Anal..

Segmentation of the pulmonary vascular tree

Marcela Hernández Hoyos, Christophe Odet, Juan-Carlos Prieto, 2012, 2012 XXXVIII Conferencia Latinoamericana En Informatica (CLEI).

Learning from Only Positive and Unlabeled Data to Detect Lesions in Vascular CT Images

Maria A. Zuluaga, Marcela Hernández Hoyos, Edgar J. F. Delgado Leyton, 2011, MICCAI.

Models, algorithms and applications in vascular image segmentation

Marcela Hernández Hoyos, Maciej Orkisz, Leonardo Flórez Valencia, 2008 .

Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study

Valery Naranjo, Hans Meine, Raúl San José Estépar, 2014, Medical Image Anal..

Analysis of PHOW representations for Alzheimer disease classification on brain structural MRI

Fabio A. González, John Puentes, Pablo Andrés Arbeláez, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Airway Segmentation, Skeletonization, and Tree Matching to Improve Registration of 3D CT Images with Large Opacities in the Lungs

Marcela Hernández Hoyos, Anna Fabijanska, Maciej Orkisz, 2016, ICCVG.

Inferior Maxillary Bone Tissue Classification in 3D CT Images

Marcela Hernández Hoyos, Soledad Gomez, Silvia Moreno, 2010, ICCVG.

A Deformable Vessel Model with Single Point Initialization for Segmentation, Quantification and Visualization of Blood Vessels in 3D MRA

Isabelle E. Magnin, Alfred Anwander, Marcela Hernández Hoyos, 2000, MICCAI.

Coronary artery segmentation and stenosis quantification in CT images with use of a right generalized cylinder model

Marcela Hernández Hoyos, Leonardo Flórez-Valencia, Maciej Orkisz, 2012 .

Assessment of carotid artery stenoses in 3D contrast-enhanced magnetic resonance angiography, based on improved generation of the centerline

Isabelle E. Magnin, Marcela Hernández Hoyos, Maciej Orkisz, 2005 .