Publishing Activity - 13133
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Dynamic Approximate Entropy Electroanatomic Maps Detect Rotors in a Simulated Atrial Fibrillation Model
(2014)There is evidence that rotors could be drivers that maintain atrial fibrillation. Complex fractionated atrial electrograms have been located in rotor tip areas. However, the concept of electrogram fractionation, defined ... -
ITAREPS: Information Technology Aided Relapse Prevention Programme in Schizophrenia
(2008)ITAREPS presents a mobile phone-based telemedicine solution for weekly remote patient monitoring and disease management in schizophrenia and psychotic disorders in general. The programme provides health professionals with ... -
Characterization of Complex Fractionated Atrial Electrograms by Sample Entropy: An International Multi-Center Study
(2015)Atrial fibrillation (AF) is the most commonly clinically-encountered arrhythmia. Catheter ablation of AF is mainly based on trigger elimination and modification of the AF substrate. Substrate mapping ablation of complex ... -
Performance Comparison of Extracellular Spike Sorting Algorithms for Single-Channel Recordings
(2012)Proper classification of action potentials from extracellular recordings is essential for making an accurate study of neuronal behavior. Many spike sorting algorithms have been presented in the technical literature. However, ... -
Global Line Search Algorithm Hybridized with Quadratic Interpolation and Its Extension to Separable Functions
(ACM, 2015)We propose a novel hybrid algorithm“Brent-STEP” for uni- variate global function minimization, based on the global line search method STEP and accelerated by Brent’s method, a local optimizer that combines quadratic ... -
Dimension Selection in Axis-Parallel Brent-STEP Method for Black-Box Optimization of Separable Continuous Functions
(ACM, 2015)The recently proposed Brent-STEP algorithm was gener alized for separable functions by performing axis-parallel searches, interleaving the steps in individual dimensions in a round-robin fashion. This article explores ... -
Reconstructing Evolving Tree Structures in Time Lapse Sequences
(2014)We propose an approach to reconstructing tree structures that evolve over time in 2D images and 3D image stacks such as neuronal axons or plant branches. Instead of reconstructing structures in each image independently, ... -
jSLIC : superpixels in ImageJ
(Czech Society for Cybernetics and Informatics, 2014)This paper presents the implementation and particular improvements on the superpixel clustering algorithm - SLIC (Simple Linear Iterative Clustering). The main contribution of the jSLIC is a significant speed-up of the ... -
Robust Non-Rigid Registration of 2D and 3D Graphs
(IEEE, 2012)We present a new approach to matching graphs embedded in R2 or R3. Unlike earlier methods, our approach does not rely on the similarity of local appearance features, does not require an initial alignment, can handle partial ... -
Active Testing Search for Point Cloud Matching
(Springer, 2013)We present a general approach for solving the point-cloud matching problem for the case of mildly nonlinear transformations. Our method quickly nds a coarse approximation of the solution by exploring a reduced set of ... -
Neuromuscular fiber segmentation using particle filtering and discrete optimization
(2012)We present an algorithm to segment a set of parallel, intertwined and bifurcating bers from 3D images, targeted for the identi cation of neuronal bers in very large sets of 3D confocal microscopy images. The method ... -
Registration of multiple stained histological sections
(IEEE, 2013)The analysis of protein-level multigene expression signature maps computed from the fusion of differently stained immunohistochemistry images is an emerging tool in cancer management. Creating these maps requires registering ... -
A Multi-Frequency Approach to Increase the Native Resolution of Ultrasound Images
(IEEE, 2012)In ultrasound (US), a natural competition exists between the resolution of the image and the depth-of-field (DOF) into the medium, competition which is difficult to overcome with current US probe. Using large bandwidth ... -
Bootstrap Optical Flow Confidence and Uncertainty Measure
(Elsevier, 2011)We address the problem of estimating the uncertainty of optical flow algorithm results. Our method estimates the error magnitude at all points in the image. It can be used as a confidence measure. It is based on bootstrap ... -
Neuromuscular fiber segmentation through particle filtering and discrete optimization
(SPIE, 2014)We present an algorithm to segment a set of parallel, intertwined and bifurcating bers from 3D images, targeted for the identi cation of neuronal bers in very large sets of 3D confocal microscopy images. The method ... -
Classification of microscopy images of Langerhans islets
(SPIE, 2014)Evaluation of images of Langerhans islets is a crucial procedure for planning an islet transplantation, which is a promising diabetes treatment. This paper deals with segmentation of microscopy images of Langerhans islets ... -
Registration of segmented histological images using thin plate splines and belief propagation
(SPIE, 2014)We register images based on their multiclass segmentations, for cases when correspondence of local features cannot be established. A discrete mutual information is used as a similarity criterion. It is evaluated at a sparse ... -
Robust elastic 2D/3D geometric graph matching
(SPIE, 2012)We present an algorithm for geometric matching of graphs embedded in 2D or 3D space. It is applicable for registering any graph-like structures appearing in biomedical images, such as blood vessels, pulmonary bronchi, nerve ... -
Non-Rigid Graph Registration using Active Testing Search
(2014)We present a new approach for matching sets of branching curvilinear structures that form graphs embedded in R2 or R3 and may be subject to deformations. Unlike earlier methods, ours does not rely on local appearance ... -
Spatio-Temporal Motion Estimation for Respiratory-Correlated Imaging of the Lungs
(American Association of Physicists in Medicine, 2011)Purpose: Four-dimensional computed tomography (4D CT) can provide patient-specific motion information for radiotherapy planning and delivery. Motion estimation in 4D CT is challenging due to the reduced image quality and ...
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