List of works - Jacinto C Nascimento

2D Segmentation Using a Robust Active Shape Model With the EM Algorithm.

scientific article published on 20 April 2015

A method for the dynamic analysis of the heart using a Lyapounov based denoising algorithm.

scientific article published in January 2006

Adaptive snakes using the EM algorithm.

scientific article published in November 2005

An unified framework for Bayesian denoising for several medical and biological imaging modalities.

scientific article published in January 2007

Automated Analysis of Unregistered Multi-View Mammograms With Deep Learning

scientific article published on 12 September 2017

Automatic 3-D segmentation of endocardial border of the left ventricle from ultrasound images.

scientific article

Automatic segmentation of the lungs using robust level sets

scientific article published on 01 January 2007

Combining multiple dynamic models and deep learning architectures for tracking the left ventricle endocardium in ultrasound data

scientific article

Comparison of Target Detection Algorithms using Adaptive Background Models

Comparison of segmentation methods for automatic diagnosis of dermoscopy images.

scientific article published in January 2007

Deep Learning on Sparse Manifolds for Faster Object Segmentation.

scientific article published on 11 July 2017

Fast segmentation of the left ventricle in cardiac MRI using dynamic programming

scientific article published on 4 November 2017

Improved Gradient Vector Flow for robust shape estimation in medical imaging.

scientific article published in January 2010

Information geometric algorithm for estimating switching probabilities in space-varying HMM.

scientific article published in December 2014

Manifold learning for object tracking with multiple nonlinear models

scientific article

Medical image noise reduction using the Sylvester-Lyapunov equation.

scientific article published in September 2008

Modeling and classifying human activities from trajectories using a class of space-varying parametric motion fields.

scientific article published in February 2013

Performance evaluation of point matching algorithms for left ventricle motion analysis in MRI.

scientific article published in January 2013

Precision Radiology: Predicting longevity using feature engineering and deep learning methods in a radiomics framework

scientific article

Robust shape tracking with multiple models in ultrasound images.

scientific article published in March 2008

Segmentation of the left ventricle in cardiac MRI using a probabilistic data association active shape model.

scientific article

The segmentation of the left ventricle of the heart from ultrasound data using deep learning architectures and derivative-based search methods.

scientific article

Trajectory classification using switched dynamical hidden Markov models.

scientific article published on 31 December 2009

List of works by Jacinto C Nascimento

2D Segmentation Using a Robust Active Shape Model With the EM Algorithm.

A method for the dynamic analysis of the heart using a Lyapounov based denoising algorithm.

Adaptive snakes using the EM algorithm.

An unified framework for Bayesian denoising for several medical and biological imaging modalities.

Automated Analysis of Unregistered Multi-View Mammograms With Deep Learning

Automatic 3-D segmentation of endocardial border of the left ventricle from ultrasound images.

Automatic segmentation of the lungs using robust level sets

Combining multiple dynamic models and deep learning architectures for tracking the left ventricle endocardium in ultrasound data

Comparison of Target Detection Algorithms using Adaptive Background Models

Comparison of segmentation methods for automatic diagnosis of dermoscopy images.

Deep Learning on Sparse Manifolds for Faster Object Segmentation.

Fast segmentation of the left ventricle in cardiac MRI using dynamic programming

Improved Gradient Vector Flow for robust shape estimation in medical imaging.

Information geometric algorithm for estimating switching probabilities in space-varying HMM.

Manifold learning for object tracking with multiple nonlinear models

Medical image noise reduction using the Sylvester-Lyapunov equation.

Modeling and classifying human activities from trajectories using a class of space-varying parametric motion fields.

Performance evaluation of point matching algorithms for left ventricle motion analysis in MRI.

Precision Radiology: Predicting longevity using feature engineering and deep learning methods in a radiomics framework

Robust shape tracking with multiple models in ultrasound images.

Segmentation of the left ventricle in cardiac MRI using a probabilistic data association active shape model.

The segmentation of the left ventricle of the heart from ultrasound data using deep learning architectures and derivative-based search methods.

Trajectory classification using switched dynamical hidden Markov models.