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2020 – today
- 2023
- [j33]Akil Narayan
, Zexin Liu
UncertainSCI: Uncertainty quantification for computational models in biomedicine and bioengineering. Comput. Biol. Medicine 152: 106407 (2023) - [j32]Jess D. Tate
UncertainSCI: A Python Package for Noninvasive Parametric Uncertainty Quantification of Simulation Pipelines. J. Open Source Softw. 8(90): 4249 (2023) - [j31]Xiajun Jiang
Improving Generalization by Learning Geometry-Dependent and Physics-Based Reconstruction of Image Sequences. IEEE Trans. Medical Imaging 42(2): 403-415 (2023) - [c94]Jake A. Bergquist, Matthias Lange, Brian Zenger, Benjamin A. Orkild, Eric Paccione, Eugene Kwan, Bram Hunt, Jiawei Dong, Rob S. MacLeod, Akil Narayan, Ravi Ranjan:
Uncertainty Quantification of the Effect of Variable Conductivity in Ventricular Fibrotic Regions on Ventricular Tachycardia. CinC 2023: 1-4 - [c93]Jake A. Bergquist, Brian Zenger, James N. Brundage, Rob S. MacLeod, Rashmee Shah, Xiangyang Ye, Ann Lyones, Ravi Ranjan, Tolga Tasdizen, T. Jared Bunch, Benjamin Steinberg:
Comparison of Machine Learning Detection of Low Left Ventricular Ejection Fraction Using Individual ECG Leads. CinC 2023: 1-4 - [c92]Anna Busatto, Lindsay C. Rupp, Karli Gillette, Akil Narayan, Gernot Plank, Rob S. MacLeod:
Capturing the Influence of Conduction Velocity on Epicardial Activation Patterns Using Uncertainty Quantification. CinC 2023: 1-4 - [c91]Bram Hunt, Eugene Kwan, Tolga Tasdizen, Jake Bergquist, Matthias Lange, Benjamin A. Orkild, Robert S. MacLeod, Derek J. Dosdall, Ravi Ranjan:
Transfer Learning for Improved Classification of Drivers in Atrial Fibrillation. CinC 2023: 1-4 - [c90]Benjamin A. Orkild, Jake A. Bergquist, Eric Paccione, Matthias Lange, Eugene Kwan, Bram Hunt, Rob S. MacLeod, Akil Narayan, Ravi Ranjan:
A Grid Search of Fibrosis Thresholds for Uncertainty Quantification in Atrial Flutter Simulations. CinC 2023: 1-4 - [c89]Eric Paccione, Matthias Lange, Benjamin A. Orkild, Jake A. Bergquist, Eugene Kwan, Bram Hunt, Derek J. Dosdall, Robert S. MacLeod, Ravi Ranjan:
Effects of Biventricular Pacing Locations on Anti-Tachycardia Pacing Success in a Patient-Specific Model. CinC 2023: 1-4 - [c88]Lindsay C. Rupp, Anna Busatto, Jake A. Bergquist, Karli Gillette, Akil Narayan, Gernot Plank, Rob S. MacLeod:
Uncertainty Quantification of Fiber Orientation and Epicardial Activation. CinC 2023: 1-4 - 2022
- [j30]Jake A. Bergquist
Reconstruction of cardiac position using body surface potentials. Comput. Biol. Medicine 142: 105174 (2022) - [j29]Steffen Schuler
Reducing Line-of-Block Artifacts in Cardiac Activation Maps Estimated Using ECG Imaging: A Comparison of Source Models and Estimation Methods. IEEE Trans. Biomed. Eng. 69(6): 2041-2052 (2022) - [c87]Jake A. Bergquist, Lindsay C. Rupp, Anna Busatto
Heart Position Uncertainty Quantification in the Inverse Problem of ECGI. CinC 2022: 1-4 - [c86]Anna Busatto
Unexpected Errors in the Electrocardiographic Forward Problem. CinC 2022: 1-4 - [c85]Narimane Gassa, Machteld J. Boonstra, Beata Ondrusova
Effect of Segmentation Uncertainty on the ECGI Inverse Problem Solution and Source Localization. CinC 2022: 1-4 - [c84]Xiajun Jiang, Jess D. Tate
Uncertainty Quantification of Cardiac Position on Deep Graph Network ECGI. CinC 2022: 1-4 - [c83]Beata Ondrusova
The Effect of Segmentation Variability in Forward ECG Simulation. CinC 2022: 1-4 - [c82]Benjamin A. Orkild, Jake A. Bergquist, Lindsay C. Rupp, Anna Busatto
A Sliding Window Approach to Regularization in Electrocardiographic Imaging. CinC 2022: 1-4 - [c81]Eric Paccione, Bram Hunt, Eugene Kwan, Derek J. Dosdall, Rob S. MacLeod, Ravi Ranjan:
Unipolar R:S Development in Chronic Atrial Fibrillation. CinC 2022: 1-4 - [c80]Lindsay C. Rupp, Brian Zenger, Jake A. Bergquist, Anna Busatto
The Role of Beta-1 Receptors in the Response to Myocardial Ischemia. CinC 2022: 1-4 - [c79]Jess D. Tate
Segmentation Uncertainty Quantification in Cardiac Propagation Models. CinC 2022: 1-4 - [c78]Xiajun Jiang
Few-Shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-learning. MICCAI (8) 2022: 46-56 - [c77]Maryam Toloubidokhti, Nilesh Kumar, Zhiyuan Li, Prashnna K. Gyawali, Brian Zenger, Wilson W. Good, Rob S. MacLeod, Linwei Wang:
Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators. MICCAI (8) 2022: 459-468 - [i2]Xiajun Jiang, Zhiyuan Li, Ryan Missel, Md Shakil Zaman, Brian Zenger, Wilson W. Good, Rob S. MacLeod, John L. Sapp, Linwei Wang:
Few-shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-Learning. CoRR abs/2210.02967 (2022) - [i1]Maryam Toloubidokhti, Nilesh Kumar, Zhiyuan Li, Prashnna K. Gyawali, Brian Zenger, Wilson W. Good, Rob S. MacLeod, Linwei Wang:
Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators. CoRR abs/2211.01373 (2022) - 2021
- [j28]Jake A. Bergquist, Wilson W. Good, Brian Zenger
The electrocardiographic forward problem: A benchmark study. Comput. Biol. Medicine 134: 104476 (2021) - [j27]Ali S. Rababah
The effect of interpolating low amplitude leads on the inverse reconstruction of cardiac electrical activity. Comput. Biol. Medicine 136: 104666 (2021) - [j26]Laura Bear
The Impact of Torso Signal Processing on Noninvasive Electrocardiographic Imaging Reconstructions. IEEE Trans. Biomed. Eng. 68(2): 436-447 (2021) - [j25]Wilson W. Good
Estimation and Validation of Cardiac Conduction Velocity and Wavefront Reconstruction Using Epicardial and Volumetric Data. IEEE Trans. Biomed. Eng. 68(11): 3290-3300 (2021) - [c76]Laura R. Bear, Jana Svehlíková, Jake A. Bergquist, Wilson W. Good, Ali Rababah
Impact of baseline drift removal on ECG beat classification and alignment. CinC 2021: 1-4 - [c75]Jake A. Bergquist, Brian Zenger, Lindsay C. Rupp, Akil Narayan, Jess D. Tate
Uncertainty Quantification in Simulations of Myocardial Ischemia. CinC 2021: 1-4 - [c74]James N. Brundage
Myocardial Ischemia Detection Using Body Surface Potential Mappings and Machine Learning. CinC 2021: 1-4 - [c73]Bram Hunt, Eugene Kwan, Derek J. Dosdall, Rob S. MacLeod, Ravi Ranjan:
Siamese Neural Networks for Small Dataset Classification of Electrograms. CinC 2021: 1-4 - [c72]Matthias Lange, Eugene Kwan, Rob S. MacLeod, Ravi Ranjan:
Computer Simulations Outcomes of Left Atrial Arrhythmia Induction are Highly Sensitive to Scar and Fibrosis Determination. CinC 2021: 1-3 - [c71]Lindsay C. Rupp, Jake A. Bergquist, Brian Zenger, Karli Gillette, Akil Narayan, Jess D. Tate
The Role of Myocardial Fiber Direction in Epicardial Activation Patterns via Uncertainty Quantification. CinC 2021: 1-4 - [c70]Jess D. Tate
A Cardiac Shape Model for Segmentation Uncertainty Quantification. CinC 2021: 1-4 - [c69]Maryam Toloubidokhti, Prashnna K. Gyawali, Omar A. Gharbia, Xiajun Jiang
Deep Adaptive Electrocardiographic Imaging with Generative Forward Model for Error Reduction. FIMH 2021: 471-481 - [c68]Jake A. Bergquist
Simultaneous Multi-heartbeat ECGI Solution with a Time-Varying Forward Model: A Joint Inverse Formulation. FIMH 2021: 493-502 - [c67]Jess D. Tate
Uncertainty Quantification of the Effects of Segmentation Variability in ECGI. FIMH 2021: 515-522 - 2020
- [j24]Wilson W. Good, Burak Erem, Brian Zenger, Jaume Coll-Font, Jake A. Bergquist, Dana H. Brooks, Rob S. MacLeod:
Characterizing the transient electrocardiographic signature of ischemic stress using Laplacian Eigenmaps for dimensionality reduction. Comput. Biol. Medicine 127: 104059 (2020) - [j23]Aditi Roy
Identifying locations of re-entrant drivers from patient-specific distribution of fibrosis in the left atrium. PLoS Comput. Biol. 16(9) (2020) - [c66]Jake A. Bergquist, Jaume Coll-Font, Brian Zenger, Lindsay C. Rupp, Wilson W. Good, Dana H. Brooks, Rob S. MacLeod:
Improving Localization of Cardiac Geometry Using ECGI. CinC 2020: 1-4 - [c65]Jake A. Bergquist, Brian Zenger, Wilson W. Good, Lindsay C. Rupp, Laura R. Bear, Rob S. MacLeod:
Novel Experimental Preparation to Assess Electrocardiographic Imaging Reconstruction Techniques. CinC 2020: 1-4 - [c64]Wilson W. Good, Brian Zenger, Jake A. Berzuuist, Lindsay C. Rupp, Karli Gillette, Gernot Plank, Rob S. MacLeod:
Quantifying the Spatiotemporal Influence of Acute Myocardial Ischemia on Volumetric Conduction Speeds. CinC 2020: 1-4 - [c63]Bram Hunt, Eugene Kwan, Mark McMillan, Derek J. Dosdall, Rob S. MacLeod, Ravi Ranjan:
Deep Learning Based Prediction of Atrial Fibrillation Disease Progression with Endocardial Electrograms in a Canine Model. CinC 2020: 1-3 - [c62]Ashley E. Morgan, Atefeh Kashani, Brian Zenger, Lindsay C. Rupp, Maura D. Perez, Markus D. Foote
Right Ventricular Shape Distortion in Tricuspid Regurgitation. CinC 2020: 1-4 - [c61]Lindsay C. Rupp, Wilson W. Good, Jake A. Bergquist, Brian Zenger, Karli Gillette, Gernot Plank, Rob S. MacLeod:
Effect of Myocardial Fiber Direction on Epicardial Activation Patterns. CinC 2020: 1-4 - [c60]Lindsay C. Rupp, Zexin Liu, Jake A. Bergquist, Sumientra Rampersad, Dan White, Jess D. Tate
Using UncertainSCI to Quantify Uncertainty in Cardiac Simulations. CinC 2020: 1-4 - [c59]Jess D. Tate
Shape Analysis of Segmentation Variability. CinC 2020: 1-4 - [c58]Brian Zenger, Jake A. Bergquist, Wilson W. Good, Lindsay C. Rupp, Rob S. MacLeod:
Experimental Validation of a Novel Extracellular-Based Source Representation of Acute Myocardial Ischemia. CinC 2020: 1-4 - [c57]Brian Zenger, Jake A. Bergquist, Wilson W. Good, Bruce Steadman, Rob S. MacLeod:
High-Capacity Cardiac Signal Acquisition System for Flexible, Simultaneous, Multidomain Acquisition. CinC 2020: 1-4
2010 – 2019
- 2019
- [j22]Zhaohan Xiong
Fully Automatic Left Atrium Segmentation From Late Gadolinium Enhanced Magnetic Resonance Imaging Using a Dual Fully Convolutional Neural Network. IEEE Trans. Medical Imaging 38(2): 515-524 (2019) - [c56]Nathan Angel, Eugene G. Kholmovski, Elyar Ghafoori, Derek J. Dosdall, Rob S. MacLeod, Ravi Ranjan:
Regions of High Dominant Frequency in Chronic Atrial Fibrillation Anchored to Areas of Atrial Fibrosis. CinC 2019: 1-4 - [c55]Jake A. Bergquist, Wilson W. Good, Brian Zenger, Jess D. Tate
Optimizing the Reconstruction of Cardiac Potentials Using a Novel High Resolution Pericardiac Cage. CinC 2019: 1-4 - [c54]Yesim Serinagaoglu Dogrusoz
Effects of Interpolation on the Inverse Problem of Electrocardiography. CinC 2019: 1-4 - [c53]Wilson W. Good, Karli K. Gillette, Jake A. Bergquist, Brian Zenger, Jess D. Tate
Validation of Intramural Wavefront Reconstruction and Estimation of 3D Conduction Velocity. CinC 2019: 1-4 - [c52]Jess D. Tate
A Unified Pipeline for ECG Imaging Testing. CinC 2019: 1-4 - [c51]Brian Zenger, Jake A. Bergquist, Wilson W. Good, Brett M. Burton, Jess D. Tate
Experimental Validation of Image-Based Modeling of Torso Surface Potentials During Acute Myocardial Ischemia. CinC 2019: 1-4 - [c50]Aditi Roy, Marta Varela
Virtual Catheter Ablation of Target Areas Identified from Image-Based Models of Atrial Fibrillation. FIMH 2019: 11-19 - [c49]Steffen Schuler
Spatial Downsampling of Surface Sources in the Forward Problem of Electrocardiography. FIMH 2019: 29-36 - [c48]Jake A. Bergquist
GRÖMeR: A Pipeline for Geodesic Refinement of Mesh Registration. FIMH 2019: 37-45 - [c47]Jess D. Tate
Correcting Undersampled Cardiac Sources in Equivalent Double Layer Forward Simulations. FIMH 2019: 147-155 - 2018
- [j21]Jess D. Tate
Measuring defibrillator surface potentials: The validation of a predictive defibrillation computer model. Comput. Biol. Medicine 102: 402-410 (2018) - [j20]Anton Rodenhauser
PFEIFER: Preprocessing Framework for Electrograms Intermittently Fiducialized from Experimental Recordings. J. Open Source Softw. 3(21): 472 (2018) - [j19]Seyhmus Guler, Moritz Dannhauer, Biel Roig-Solvas, Alexis Gkogkidis, Robert S. MacLeod, Tonio Ball, Jeffrey G. Ojemann, Dana H. Brooks:
Computationally optimized ECoG stimulation with local safety constraints. NeuroImage 173: 35-48 (2018) - [c46]Laura Bear, Yesim Serinagaoglu Dogrusoz
Effects of ECG Signal Processing on the Inverse Problem of Electrocardiography. CinC 2018: 1-4 - [c45]Yesim Serinagaoglu Dogrusoz
Reduction of Effects of Noise on the Inverse Problem of Electrocardiography With Bayesian Estimation. CinC 2018: 1-4 - [c44]Wilson Good, Burak Erem, Jaume Coll-Font, Brian Zenger, Dana H. Brooks, Rob S. MacLeod, Milan Horacek:
Novel Metric Using Laplacian Eigenmaps to Evaluate Ischemic Stress on the Torso Surface. CinC 2018: 1-4 - [c43]Jess D. Tate
Effect of Segmentation Variation on ECG Imaging. CinC 2018: 1-4 - [c42]Brian Zenger, Wilson Good, Rob S. MacLeod, Jess D. Tate
Electrocardiographic Comparison of Dobutamine and Bruce Cardiac Stress Testing With High Resolution Mapping in Experimental Models. CinC 2018: 1-4 - 2017
- [c41]Jwala Dhamala, Jaume Coll-Font, Jess D. Tate
Overcoming Barriers to Quantification and Comparison of Electrocardiographic Imaging Methods: a Community-Based Approach. CinC 2017 - [c40]Wilson Good, Burak Erem, Jaume Coll-Font, Dana H. Brooks, Rob S. MacLeod:
Detecting Ischemic Stress to the Myocardium Using Laplacian Eigenmaps and Changes to Conduction Velocity. CinC 2017 - [c39]Jess D. Tate
Analyzing Source Sampling to Reduce Error in ECG Forward Simulations. CinC 2017 - 2016
- [c38]Brett M. Burton, Kedar Aras, Jess D. Tate, Wilson Good, Rob S. MacLeod:
The Role of Reduced Left Ventricular, Systolic Blood Volumes in ST Segment Potentials Overlying Diseased Tissue of the Ischemic Heart. CinC 2016 - [c37]Jaume Coll-Font, Dana H. Brooks, Peter M. van Dam, Jwala Dhamala, Olaf Dössel, María de la Salud Guillem Sánchez, Rob S. MacLeod, Danila Potyagaylo, Walther H. W. Schulze, Jess D. Tate, Linwei Wang:
The Consortium on Electrocardiographic Imaging. CinC 2016 - [c36]Karli Gillette, Jess D. Tate, Brianna Kindall, Wilson Good, Jeff Wilkinson, Narendra Simha, Rob S. MacLeod:
Temporal Dilation of Animal Cardiac Recordings Registered to Human Torso Geometries. CinC 2016 - [c35]Wilson Good, Burak Erem, Jaume Coll-Font, Dana H. Brooks, Rob S. MacLeod:
Novel Biomarker for Evaluating Ischemic Stress Using an Electrogram Derived Phase Space. CinC 2016 - [c34]Seyhmus Guler, Moritz Dannhauer, Burak Erem, Robert S. MacLeod, Don M. Tucker, Sergei Turovets, Phan Luu, Waleed Meleis, Dana H. Brooks:
Optimizing stimulus patterns for dense array TDCS with fewer sources than electrodes using a branch and bound algorithm. ISBI 2016: 229-232 - [c33]Damon E. Hyde
Evaluation of numerical techniques for solving the current injection problem in biological tissues. ISBI 2016: 876-880 - 2015
- [j18]Yi Gao, Liangjia Zhu, Joshua Cates
A Kalman Filtering Perspective for Multiatlas Segmentation. SIAM J. Imaging Sci. 8(2): 1007-1029 (2015) - [c32]Karli Gillette, Jess D. Tate
Generation of Combined-Modality Tetrahedral Meshes. CinC 2015: 953-956 - 2014
- [c31]Brian Zenger, Joshua Cates, Alan Morris, Eugene G. Kholmovski, Alexander Au, Ravi Ranjan, Nazem Akoum, Christopher McGann, Brent Wilson, Nassir Marrouche, Frederick T. Han, Rob S. MacLeod:
A Practical Algorithm for Improving Localization and Quantification of Left Ventricular Scar. CinC 2014: 105-108 - [c30]Joshua J. E. Blauer, Frederick T. Han, Ravi Ranjan, Nassir Marrouche, Rob S. MacLeod:
Controlled Activation for Interrogation of the Electrophysiological Substrate. CinC 2014: 189-192 - [c29]Jaume Coll-Font, Brett M. Burton, Jess D. Tate, Burak Erem, Darrell J. Swenson, Dafang Wang, Dana H. Brooks, Peter M. van Dam, Rob S. MacLeod:
New Additions to the Toolkit for Forward/Inverse Problems in Electrocardiography within the SCIRun Problem Solving Environment. CinC 2014: 213-216 - [c28]Jess D. Tate, Thomas Pilcher, Kedar Aras, Brett M. Burton, Rob S. MacLeod:
Verification of a Defibrillation Simulation Using Internal Electric Fields in a Human Shaped Phantom. CinC 2014: 689-692 - 2013
- [j17]Dafang Wang, Robert M. Kirby, Robert S. MacLeod, Chris R. Johnson:
Inverse electrocardiographic source localization of ischemia: An optimization framework and finite element solution. J. Comput. Phys. 250: 403-424 (2013) - [c27]Brett M. Burton, Burak Erem, Kristin Potter, Paul Rosen, Chris R. Johnson, Dana H. Brooks, Rob S. MacLeod:
Uncertainty Visualization in Forward and Inverse Cardiac Models. CinC 2013: 57-60 - [c26]Gregory Gardner, Alan Morris, Koji Higuchi, Rob S. MacLeod, Joshua Cates
A point-correspondence approach to describing the distribution of image features on anatomical surfaces, with application to atrial fibrillation. ISBI 2013: 226-229 - 2012
- [c25]Liangjia Zhu, Yi Gao, Anthony J. Yezzi, Robert S. MacLeod, Joshua Cates
Automatic segmentation of the left atrium from MRI images using salient feature and contour evolution. EMBC 2012: 3211-3214 - [c24]Moritz Dannhauer, Dana H. Brooks, Don M. Tucker, Robert S. MacLeod:
A pipeline for the simulation of transcranial direct current stimulation for realistic human head models using SCIRun/BioMesh3D. EMBC 2012: 5486-5489 - [c23]Darrell J. Swenson, Joshua A. Levine, Jess D. Tate
Impacts of Boundary Conforming Meshes on Electrical Cardiac Simulation. IMR 2012: 585-602 - [c22]Rob S. MacLeod, Joshua Blauer, Eugene G. Kholmovski, Ravi Ranjan, Nassir Marrouche, Natalia A. Trayanova
Subject specific, image based analysis and modeling in patients with atrial fibrillation from MRI. ISBI 2012: 1364 - [c21]Daniel Perry, Alan Morris, Nathan Burgon, Christopher McGann, Robert S. MacLeod, Joshua Cates
Automatic classification of scar tissue in late gadolinium enhancement cardiac MRI for the assessment of left-atrial wall injury after radiofrequency ablation. Medical Imaging: Computer-Aided Diagnosis 2012: 83151D - 2011
- [j16]Brad Isaacson, Jeroen G. Stinstra, Roy Bloebaum, Paul F. Pasquina, Robert S. MacLeod:
Establishing Multiscale Models for Simulating Whole Limb Estimates of Electric Fields for Osseointegrated Implants. IEEE Trans. Biomed. Eng. 58(10): 2991-2994 (2011) - [c20]Jess D. Tate
Measuring defibrillator surface potentials for simulation verification. EMBC 2011: 239-242 - [c19]Brett M. Burton, Jess D. Tate
A toolkit for forward/inverse problems in electrocardiography within the SCIRun problem solving environment. EMBC 2011: 267-270 - [c18]Dafang Wang, Robert M. Kirby, Rob S. MacLeod, Chris R. Johnson:
An optimization framework for inversely estimating myocardial transmembrane potentials and localizing ischemia. EMBC 2011: 1680-1683 - [c17]Burak Erem, Dana H. Brooks, Peter M. van Dam
Spatiotemporal estimation of activation times of fractionated ECGs on complex heart surfaces. EMBC 2011: 5884-5887 - 2010
- [c16]Yi Gao, Behnood Gholami, Robert S. MacLeod, Joshua Blauer, Wassim M. Haddad, Allen R. Tannenbaum:
Segmentation of the endocardial wall of the left atrium using local region-based active contours and statistical shape learning. Medical Imaging: Image Processing 2010: 76234Z
2000 – 2009
- 2009
- [c15]Brad Isaacson, Jeroen G. Stinstra, Robert S. MacLeod, Roy Bloebaum:
Development of an Electrical Stimulation Device for Osseointegrated Amputees - A Novel Approach for Expediting Skeletal Attachment and Rehabilitation. BIODEVICES 2009: 178-185 - 2008
- [j15]Sarah E. Geneser, Robert M. Kirby, Robert S. MacLeod:
Application of Stochastic Finite Element Methods to Study the Sensitivity of ECG Forward Modeling to Organ Conductivity. IEEE Trans. Biomed. Eng. 55(1): 31-40 (2008) - [p1]Xavier Tricoche, Rob S. MacLeod, Chris R. Johnson:
Visual Analysis of Bioelectric Fields. Visualization in Medicine and Life Sciences 2008: 205-220 - 2007
- [j14]Bülent Yilmaz
Generalized training subset selection for statistical estimation of epicardial activation maps from intravenous catheter measurements. Comput. Biol. Medicine 37(3): 328-336 (2007) - [j13]Alireza Ghodrati, Dana H. Brooks, Robert S. MacLeod:
Methods of Solving Reduced Lead Systems for Inverse Electrocardiography. IEEE Trans. Biomed. Eng. 54(2): 339-343 (2007) - [c14]Shibaji Shome, Robert S. MacLeod:
Simultaneous High-Resolution Electrical Imaging of Endocardial, Epicardial and Torso-Tank Surfaces Under Varying Cardiac Metabolic Load and Coronary Flow. FIMH 2007: 320-329 - [c13]Matthew A. Jolley, Jeroen G. Stinstra, David M. Weinstein, Steve Pieper, Raúl San José Estépar
Open-Source Environment for Interactive Finite Element Modeling of Optimal ICD Electrode Placement. FIMH 2007: 373-382 - 2006
- [j12]Carsten H. Wolters
Influence of tissue conductivity anisotropy on EEG/MEG field and return current computation in a realistic head model: A simulation and visualization study using high-resolution finite element modeling. NeuroImage 30(3): 813-826 (2006) - [j11]Alireza Ghodrati, Dana H. Brooks, Gilead Tadmor, Robert S. MacLeod:
Wavefront-based models for inverse electrocardiography. IEEE Trans. Biomed. Eng. 53(9): 1821-1831 (2006) - [j10]Yesim Serinagaoglu
Improved Performance of Bayesian Solutions for Inverse Electrocardiography Using Multiple Information Sources. IEEE Trans. Biomed. Eng. 53(10): 2024-2034 (2006) - [c12]Alireza Ghodrati, Andrew Keely, Gilead Tadmor, Robert S. MacLeod, Dana H. Brooks:
A wavefront-based constraint for potential surface solutions in inverse electrocardiography. EMBC 2006: 2550-2553 - [c11]Matthew A. Jolley, John K. Triedman, Carl-Fredrik Westin, David M. Weinstein, Robert S. MacLeod, Dana H. Brooks:
Image Based Modeling of Defibrillation in Children. EMBC 2006: 2564-2567 - [c10]Bülent Yilmaz
Instance Selection for Estimation of Epicardial Activation Sequence from Venous Catheter Measurements. EMBC 2006: 3982-3985 - [c9]Lucas Lorenzo, Robert S. MacLeod, Ross T. Whitaker, Ganesh Adluru, Edward V. R. DiBella
Level sets and shape models for segmentation of cardiac perfusion MRI. Medical Imaging: Image Processing 2006: 614445 - 2005
- [j9]Jeroen G. Stinstra, Shibaji Shome, B. Hopenfeld, Robert S. MacLeod:
Modelling passive cardiac conductivity during ischaemia. Medical Biol. Eng. Comput. 43(6): 776-782 (2005) - [j8]Yesim Serinagaoglu
Bayesian solutions and performance analysis in bioelectric inverse problems. IEEE Trans. Biomed. Eng. 52(6): 1009-1020 (2005) - [j7]Bülent Yilmaz
Venous catheter based mapping of ectopic epicardial activation: training data set selection for statistical estimation. IEEE Trans. Biomed. Eng. 52(11): 1823-1831 (2005) - [c8]Felipe Calderero, Alireza Ghodrati, Dana H. Brooks, Gilead Tadmor, Robert S. MacLeod:
A Method to Reconstruct Activation Wavefronts Without Isotropy Assumptions Using a Level Sets Approach. FIMH 2005: 195-204 - 2004
- [j6]Christopher R. Johnson, Robert S. MacLeod, Steven G. Parker, David M. Weinstein:
Biomedical computing and visualization software environments. Commun. ACM 47(11): 64-71 (2004) - [c7]Robert S. MacLeod, David M. Weinstein, J. Davison de St. Germain, Christopher R. Johnson, Steven G. Parker, Dana H. Brooks:
SCIRun/BioPSE: Integrated Problem Solving Environment for Bioelectric Field Problems and Visualization. ISBI 2004: 640-643 - 2003
- [c6]Yesim Serinagaoglu, Dana H. Brooks, Robert S. MacLeod:
A Bayesian approach to inclusion and performance analysis of using extra information in bioelectric inverse problems. ICIP (1) 2003: 1089-1092 - 2001
- [c5]Stefan Gumhold, Xinlong Wang, Rob S. MacLeod:
Feature Extraction From Point Clouds. IMR 2001
1990 – 1999
- 1999
- [j5]Dana H. Brooks, Ghandi F. Ahmad, Robert S. MacLeod, George M. Maratos
Inverse electrocardiography by simultaneous imposition of multiple constraints. IEEE Trans. Biomed. Eng. 46(1): 3-18 (1999) - 1997
- [j4]Dana H. Brooks, Rob S. MacLeod:
Electrical imaging of the heart. IEEE Signal Process. Mag. 14(1): 24-42 (1997) - [j3]Ruth Nicholson Klepfer, Christopher R. Johnson, Robert S. MacLeod:
The effects of inhomogeneities and anisotropies on electrocardiographic fields: a 3-D finite-element study. IEEE Trans. Biomed. Eng. 44(8): 706-719 (1997) - 1996
- [c4]Dana H. Brooks, Hamid Krim, Jean-Christophe Pesquet, Robert S. MacLeod:
Best basis segmentation of ECG signals using novel optimality criteria. ICASSP 1996: 2750-2753 - 1994
- [c3]Dana H. Brooks, Robert S. MacLeod:
Imaging the Electrical Activity of the Heart: Direct and Inverse Approaches. ICIP (3) 1994: 548-552 - 1993
- [j2]Robert S. MacLeod, Christopher R. Johnson, Michael A. Matheson:
Visualization blackboard-visualizing bioelectric fields. IEEE Computer Graphics and Applications 13(4): 10-12 (1993) - [j1]Christopher R. Johnson, Robert S. MacLeod, Michael A. Matheson:
Computational Medicine: Bioelectric Field Problems. Computer 26(10): 59-67 (1993) - 1992
- [c2]Robert S. MacLeod, Christopher R. Johnson, Mike A. Matheson:
Visualization tools for computational electrocardiology (Proceedings Only). VBC 1992 - [c1]Robert S. MacLeod, N. E. Harrison, Christopher R. Johnson, Michael A. Matheson:
Visualization of Cardiac Bioelectricty - A Case Study. IEEE Visualization 1992: 411-418
Coauthor Index
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last updated on 2024-10-07 21:19 CEST by the dblp team
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